AI Advertising

AI advertising, or artificial intelligence advertising, is an innovative marketing approach that leverages advanced technologies and algorithms to create highly targeted and personalized advertising campaigns. This cutting-edge marketing strategy utilizes data analysis, machine learning, and predictive analytics to anticipate users’ preferences, interests, and behaviors. By doing so, AI advertising provides a seamless experience for consumers while boosting the effectiveness of marketing campaigns for businesses.

What is AI advertising?

AI advertising incorporates core components of artificial intelligence such as natural language processing (NLP), computer vision, and deep learning into the field of digital marketing. It analyzes vast amounts of analytical data derived from users’ online habits in real-time to develop highly targeted ads tailored to individual preferences. With the help of AI-powered tools and platforms, marketers can optimize their campaigns based on user behavior patterns and demographic data.

A comprehensive understanding would not be complete without delving into some AI advertising examples that have revolutionized the industry landscape in recent years.

  1. Automated content creation: AI-based content generation tools like GPT-3 can produce high-quality copy for ad headlines or product descriptions in seconds by analyzing existing textual data.
  2. Programmatic advertising: Advanced algorithms assist marketers in selecting appropriate ad placements at optimal times while adjusting prices based on real-time demand.
  3. Chatbots: Efficient customer support powered by NLP facilitates personalized interactions between brands and customers round-the-clock.
  4. Predictive analytics: Machine learning models accurately predict consumer behavior patterns based on historical data sets – enabling precise targeting.

There are numerous examples of AI in digital marketing, spanning various aspects of this ever-evolving industry:

  1. Audience segmentation: Using machine learning algorithms, marketers can classify users into specific target groups with shared characteristics – allowing highly customized messaging that resonates with each segment.
  2. Dynamic pricing: Predictive analytics empower companies to adjust product prices in real-time depending on various factors like demand, competition, and customer browsing behavior.
  3. Personalized content: AI-powered platforms analyze user preferences to deliver uniquely tailored recommendations – from product suggestions to curated blog articles.
  4. Sentiment analysis: NLP-driven tools monitor online conversations related to a brand or its competitors, providing valuable insights into public sentiment and potential business opportunities.

AI advertising is rapidly reshaping the digital marketing landscape with its innovative offerings and technological advancements. Marketers stand to benefit greatly by integrating artificial intelligence into their campaigns for boosted efficiency, optimized targeting and ultimately increased return on investment (ROI). For organizations looking to enhance their marketing strategies, embracing AI-powered solutions will undoubtedly lead to more effective campaigns and improved results as they target consumers with greater precision and personalization than ever before.

AI Advertising Companies

The realm of AI advertising companies is an ever-evolving landscape, teeming with innovative solutions that aim to revolutionize the way businesses promote and market their products. As more organizations integrate artificial intelligence into their advertising strategies, they rely on the expertise of AI advertising agencies to guide them in harnessing the immense potential of AI-powered tools.

An eminent player in the world of AI advertising platforms is Keynes Digital. This cutting-edge marketing company has positioned itself at the forefront of ad technology, specializing in delivering data-driven results for clients through its advanced suite of marketing services. With a strong focus on leveraging machine learning algorithms and real-time optimization, Keynes Digital seeks to drive unparalleled success for brands seeking to elevate their digital advertising game.

By developing highly customizable solutions catered to each client’s unique needs, Keynes Digital’s platform offers unmatched flexibility and scalability for businesses looking to optimize their ad campaigns effectively. With a keen understanding of key performance indicators (KPIs) and a dedication to achieving growth targets, Keynes Digital consistently delivers optimal results across various industries.

The rise of AI-driven marketing has given birth to numerous other players as well, each bringing different expertise areas within the wider domain of artificial intelligence. These companies offer a diverse range of services targeting specific aspects such as predictive analytics, audience segmentation, content generation, and dynamic pricing strategies. Together, these offerings coalesce into holistic solutions that can supercharge any brand’s promotional efforts. The future is undeniably bright for those who embrace artificial intelligence as a catalyst for growth and long-term success in the realm of digital advertising.

AI Advertising Campaigns

AI advertising campaigns have revolutionized the marketing landscape by leveraging advanced algorithms and data analysis techniques to optimize ad performance and deliver relevant content to target audiences. Advertisers are now harnessing the power of artificial intelligence to craft creative messages, analyze consumer interests, and drive higher engagement rates.

One of the best AI advertising campaigns in recent years is the collaboration between Under Armour and IBM Watson. In this partnership, IBM’s cognitive computing platform was utilized to create personalized training plans for athletes based on their fitness data, goals, and preferences. The campaign generated a significant buzz in the market and helped Under Armour establish itself as an innovative player in the sports apparel industry.

Another notable example is Spotify’s “Discover Weekly” playlist which uses AI technology to analyze users’ listening habits and recommend customized song selections. This highly successful campaign has garnered praise from both users and industry professionals alike for its intelligent curation of music tracks tailored to individual tastes.

The Lexus ES campaign also stands out as one of the best AI advertising campaigns due to its groundbreaking use of AI-generated scripts. The luxury automaker collaborated with IBM Watson, Visual Recognition API, and numerous other tools to create an entire commercial using artificial intelligence. The result was a visually stunning ad that managed to capture human emotions through machine learning applications.

In addition, Procter & Gamble utilized AI-powered facial recognition software in their highly successful Olay Skin Advisor app. By analyzing user-submitted selfies paired with an extensive database of skin types and issues, the app provides personalized skincare recommendations supported by targeted advertisements for Olay products. This campaign helps customers make informed purchasing decisions while generating valuable consumer insights for Procter & Gamble.

These real-world examples demonstrate how AI advertising campaigns have become integral components in modern marketing strategies. By integrating cutting-edge technologies with traditional concepts, these initiatives break new ground in delivering captivating content tailored specifically to consumers’ needs while simultaneously improving return on investment for businesses navigating an increasingly competitive digital landscape.

How To Use AI In Marketing

The utilization of artificial intelligence (AI) in marketing has revolutionized the way businesses interact with their audience. By leveraging data-driven insights and automating various tasks, AI enables marketers to create highly targeted and personalized campaigns that drive better results. This transformative technology also allows for more efficient use of time and resources, empowering marketing teams to focus on other strategic initiatives.

One noteworthy example of AI in marketing is the application of machine learning algorithms for customer segmentation. By analyzing vast amounts of data from multiple sources, such as demographics, purchase history, and online behavior, these algorithms can identify patterns and trends that help marketers better understand their target audience. Dstillery utilizes AI technology to create personalized lookalike audience segments by identifying patterns and insights from vast amounts of data. This allows them to generate audience segments that closely resemble a brand’s existing customer base, helping businesses connect with potential customers who are most likely to be interested in their products or services. With Dstillery’s AI-driven approach, businesses can optimize their marketing efforts and make more strategic decisions based on data-driven insights, ultimately driving better results and maximizing return on investment.

Another powerful illustration can be found in the realm of content creation. Natural language processing (NLP) is an AI technology capable of generating human-like text based on data inputs. Marketers can harness NLP to produce engaging copy for landing pages, emails, social media posts, and more – all at a fraction of the time it would take a human writer.

When it comes to predicting consumer behavior and preferences, AI-powered recommendation engines are invaluable assets. By examining data points like browsing history or past purchases, these engines generate personalized product suggestions that cater to individual tastes. Companies like Netflix and Amazon have successfully implemented these systems – resulting in increased user engagement and revenue growth.

Let’s discuss some of the best AI tools for marketing:

  1. HubSpot: A renowned inbound marketing platform that offers a wide range of AI-powered features, such as lead scoring, language detection, and predictive analytics.
  2. Marketo: Acquired by Adobe, this marketing automation powerhouse incorporates AI capabilities to optimize email campaigns, create dynamic content, and streamline marketing workflows.
  3. Salesforce Einstein: This AI-enabled CRM platform provides insights into customer behavior and preferences, enhancing sales and marketing efforts through data-driven decision-making.

As a programmatic advertising platform, Keynes Digital leverages machine learning algorithms to predict the best ad placements based on factors like audience behavior, context, and real-time bidding strategies. Additionally, their proprietary technology continually refines campaign performance through ongoing optimization – ensuring that clients achieve optimal results while minimizing wasted ad spend.

The integration of artificial intelligence in marketing has opened up a world of possibilities for businesses seeking to improve their outreach and engagement efforts. By incorporating AI-powered tools into your strategy and actively applying its capabilities across various marketing channels – from content creation to customer segmentation – you can unlock new opportunities for growth and success. Companies like Keynes Digital are leading examples of how embracing AI can yield impressive returns on investment in an ever-evolving digital landscape.

Contextual Targeting in Programmatic

Contextual targeting in programmatic plays an essential role in the realm of digital advertising. At its core, it involves displaying ads on websites or platforms where the content is directly related to the advertisement itself. This strategic approach increases relevance and improves user experience, which ultimately leads to higher chances of conversion.

To explore the contextual targeting definition, you must first explore its fundamental elements. Contextual targeting leverages keywords and topics that are pertinent to a particular advertisement. Subsequently, an algorithm scans web pages for these keywords and topics, ensuring that the ad appears alongside content sharing similarities with the product or service being promoted.

The question may arise – how does contextual targeting relate to programmatic? Programmatic advertising automates the process of purchasing ad space through real-time bidding (RTB) or direct buys. It uses data-driven algorithms to determine where an ad should be placed for optimal results. By combining programmatic advertising with contextual targeting, marketers can ensure their ads are displayed on relevant websites with increased efficiency and effectiveness.

Examining contextual targeting examples helps clarify its significance on various platforms.

Example 1: Contextual Targeting – YouTube
YouTube offers a prime environment for implementing contextual targeting strategies due to its vast array of video content covering countless subjects. In this scenario, advertisers can use Google Ads’ video campaign feature to place their ads before, during, or after videos that share context with their promotion. For example, a sports equipment brand may choose to display its advertisement alongside videos featuring sports tutorials or athlete interviews. This enhances user experience by showing ads that resonate with viewers’ interests while simultaneously increasing click-through rates (CTR) and return on investment (ROI).

Example 2: Contextual Targeting – Amazon.
Similarly, Amazon’s online marketplace provides bountiful opportunities for businesses employing contextual targeting tactics. As users browse through millions of products divided into categories and subcategories, they encounter advertisements tailored specifically toward their browsing preferences based on historical data gathered by Amazon’s sophisticated algorithms. In this case scenario, if a customer is browsing through fitness trackers, they may see an advertisement for a compatible accessory such as a wristband or charger. The goal is to ensure that the advertised product aligns with the user’s immediate interests, increasing the probability of a sale.

Contextual targeting (programmatic) can also be complemented by other targeting methods, such as behavioral and demographic targeting, to create even more refined and effective marketing campaigns. It’s crucial for businesses to blend these approaches skillfully to maximize their advertising efforts.

What Is Contextual Targeting In Advertising Overall?

As previously mentioned, contextual targeting in advertising is a clever and effective technique that allows advertisers to display ads relevant to the content of a webpage or digital platform. This approach increases the chances of users engaging with the advertisement, as it is more likely to pertain to their interests at that specific moment. As digital marketing continues to evolve, contextual targeting has become an integral part of leveraging consumer data and preferences to make advertising more insightful and potent.

There are several types of contextual targeting employed by marketers to create a stronger connection between their advertisements and potential customers. Keyword contextual targeting is one such method that relies on matching relevant keywords within the content of a webpage with those used in the advertisement. By identifying words and phrases that are pertinent to both the ad campaign and user-generated content, this form of targeting can increase the likelihood of engagement from viewers who may have a genuine interest in the product or service being promoted.

Another type of contextual targeting focuses on categories, where advertisers select pre-defined classifications for their advertisements based on demographics or topics. These categories can include anything from technology products to health services, enabling marketers to ensure their ads are displayed alongside content with similar themes. Consequently, category-based contextual targeting can lead individuals who consume specific types of material online toward advertisements they are more likely to find compelling.

In addition to these methods, contextual targeting in digital marketing also utilizes data points such as browsing behavior, geographical location, and device information. By analyzing this data, advertisers can deliver tailored ads that resonate with individuals based on factors like personal interests or local events happening in their area.

Through diverse techniques like keyword contextual targeting and category-based approaches, this powerful tool provides advertisers with opportunities for increased reach, improved engagement rates, and enhanced brand loyalty among customers – all while respecting individual privacy concerns within an ever-evolving digital landscape.

Programmatic Advertising

Programmatic advertising is an innovative method of purchasing, selling, and displaying digital advertisements. This approach leverages automation and data-driven targeting to provide advertisers with a more efficient and effective means of reaching their desired audience. The process involves using sophisticated algorithms to analyze consumers’ online behavior and deliver highly relevant ads based on their interests, preferences, and browsing history.

One of the most prominent examples of program domain advertising is real-time bidding (RTB). This is an auction-based system where advertisers bid on ad space available on various websites in real time. As a user visits a site, RTB platforms evaluate the visitor’s profile and determine which advertiser’s bid matches the criteria. The winning bidder’s ad is then displayed instantly to the user. Another programmatic advertising strategy includes private marketplace deals (PMP) or preferred deals that allow advertisers to secure inventory directly from publishers at negotiated rates.

The landscape of programmatic advertising platforms has expanded significantly over recent years. These platforms facilitate the entire process of managing, buying, and optimizing digital ad campaigns across various channels such as display banners, video ads, mobile apps, social media, connected television (CTV), and audio streaming services, among others.

Although there are many programmatic advertising companies, one notable player in this industry is Keynes Digital, a programmatic solution provider that offers full-service solutions for marketers. They pride themselves on their ability to deliver custom-tailored strategies that drive optimal results for clients through data-driven insights.

Keynes Digital offers programmatic advertising solutions that can assist their clients in executing successful campaigns. For instance, they may run a display campaign with a client geared towards expanding their reach. Additionally, they could run a campaign with another client that is solely focused on Connected TV and hitting certain CPA goals. These two programmatic advertising examples demonstrate how Keynes Digital can aid its clients in achieving their campaign objectives.

A crucial aspect of programmatic advertising is programmatic contextual targeting, which involves evaluating the context in which an ad is to be displayed. This method considers factors such as the content of a webpage, the site’s overall theme, and other surrounding elements to ensure that ads are highly relevant to users’ interests and preferences.

Contextual Targeting vs Behavioral Targeting

Contextual targeting and behavioral targeting are two marketing strategies utilized by businesses to engage online audiences more effectively. To fully appreciate their respective merits and applications, it is crucial to first define behavioral targeting in advertising and examine its various facets.

Behavioral targeting involves tailoring advertisements based on users’ previous online actions such as website visits, search history, or clicks on ads. This approach allows marketers to curate personalized messages for individual consumers, thereby fostering higher engagement levels and boosting sales conversions. Some behavioral targeting marketing examples entail promoting relevant products to customers who have previously shown interest in similar items or offering discounts to users who have abandoned their shopping carts.

Behavioral Targeting Pros and Cons

Several advantages are associated with employing behavioral targeting in digital marketing. For instance, it allows for more precise ad placements that result in enhanced click-through rates (CTR) and improved conversion rates. Additionally, this technique enables marketers to optimize campaign spending by focusing on high-value prospects with the greatest potential for conversion.

Despite its benefits, some drawbacks accompany the implementation of behavioral targeting in marketing campaigns. Concerns about privacy invasion may deter some users from engaging with tailored ads or even trigger negative sentiment toward the brand using such tactics. Also, relying heavily on historical data could lead advertisers to overlook emerging trends or new opportunities that might be discovered through alternative marketing approaches.

Various types of behavioral targeting exist that can be applied across diverse advertising channels. These include demographic-based techniques (targeting individuals based on age, gender, and location), psychographic-based approaches (focusing on consumers’ interests and lifestyles), and event-based methods (triggering targeted ads when specific events occur). Combining these different types of behavioral targeting techniques can help maximize their effectiveness while addressing an extensive range of consumer behaviors and preferences.

Companies like Keynes Digital have harnessed the power of advanced technology to facilitate targeted advertisement delivery through innovative platforms. Such tools enable businesses to leverage comprehensive audience insights derived from analyzing user behavior across multiple channels and devices, thereby optimizing marketing campaigns’ performance and driving higher return on ad spend (ROAS).

In comparison to behavioral targeting, contextual targeting involves displaying advertisements based on the content or context of the web page where they appear. Instead of relying on information about individual users’ past behaviors, this method targets ads according to topics and keywords relevant to the displayed content. For example, a travel-related ad might be placed alongside an article discussing popular vacation destinations.

Ultimately, while behavioral and contextual targeting both aim to enhance advertising effectiveness by delivering tailored messages to specific audiences, their approaches differ in terms of data sources and execution methods.

Marketing Automation

Marketing automation refers to the process of employing software and technology to streamline, automate, and measure marketing tasks and workflows. This methodology allows businesses to enhance their operational efficiency and grow revenue streams more rapidly. In essence, marketing automation takes repetitive and time-consuming tasks off marketers’ plates, allowing them to focus on strategic initiatives that drive business growth.

How Does Marketing Automation Work?

At its core, marketing automation software integrates various marketing channels, such as email, social media, web analytics, and customer relationship management (CRM) systems. By doing so, it enables businesses to track their customers’ interactions with their brand across multiple touchpoints. Consequently, these insights empower organizations to create personalized and targeted campaigns that resonate with customers’ unique preferences.

One key player in the realm of marketing automation is Keynes Digital, which offers exceptional expertise in executing data-driven advertising strategies that optimize ad spend while delivering tangible results.

Keynes Digital distinguishes itself from other players in the field by providing comprehensive solutions for both marketing automation and programmatic advertising to ensure that ads are served to the right audience at the right time. Keynes Digital is a prime example of a company that offers organizations robust solutions for driving growth and maximizing ROI across their campaigns. By leveraging advanced technology and in-depth industry knowledge, they empower their clients to thrive in an increasingly competitive market landscape.

Ad Network Vs Ad Exchange

In the dynamic and ever-evolving world of digital advertising, marketers are often confronted with the choice between ad networks and ad exchanges. These two concepts, although seemingly similar, have distinct differences that can greatly impact the effectiveness of marketing campaigns. By understanding the nuances between ad networks and ad exchanges, advertisers can make an informed decision on which platform is most suitable for their needs.

Ad networks serve as intermediaries between advertisers and publishers, aggregating inventory from various websites and selling it to advertisers on a cost per impression (CPM) or cost per click (CPC) basis. In essence, ad networks function as a one-stop shop for marketers looking to purchase advertising space across multiple sites without having to individually negotiate with each publisher. This consolidated approach makes it easier for marketers to manage their campaigns while benefiting from the network’s optimization algorithms that target demographics based on user data.

In comparison, ad exchanges operate as digital marketplaces where advertisers bid in real-time for advertising spaces made available by participating publishers. Through programmatic buying platforms such as demand-side platforms (DSPs), advertisers can set their preferred targeting criteria, budget constraints, and other campaign parameters. Ad exchanges employ real-time bidding (RTB) technology which allows multiple marketers to simultaneously bid on an individual impression. This competitive process results in greater transparency in pricing compared to traditional ad networks.

One of the primary distinctions between ad exchanges vs ad networks lies in their target audience coverage. While both platforms strive to reach relevant users through targeted advertisements, ad exchanges typically offer access to a larger pool of inventory – thanks to connections with multiple supply-side platforms (SSPs) – thereby providing greater reach for marketing campaigns. Additionally, since ads are purchased using RTB technology on an individual impression basis within milliseconds, advertisers have more control over their targeting precision compared to relying solely on pre-packaged audiences offered by ad networks.

Another notable difference between these two advertising channels concerns transparency. Ad exchanges provide greater insight into the purchasing process, enabling marketers to view specific details regarding the ad placements, such as website names and impression-level data. This level of transparency allows advertisers to optimize their campaigns more effectively, based on real-time insights into performance metrics. Conversely, ad networks may not share such granular information with advertisers due to proprietary algorithms.

While both ad networks and ad exchanges serve as platforms for buying and selling digital advertising inventory, they differ in terms of targeting capabilities, transparency, and audience reach. Advertisers should carefully weigh these factors when selecting an appropriate platform for their marketing objectives. By making informed decisions on where to allocate their advertising budgets, marketers can maximize the impact of their campaigns and ultimately drive greater return on investment (ROI).

Ad Network

Ad networks hold a significant position in the world of digital advertising. These platforms serve as intermediaries between advertisers and publishers, facilitating the buying and selling of ad inventory across various websites and apps. Acting as a marketplace, ad networks collect unsold or remnant ad spaces from publishers and sell them to advertisers at lower rates than premium inventory. As a result, they help publishers maximize their revenue potential while providing advertisers with cost-effective opportunities to reach wider audiences.

Several prominent ad network examples can be found in today’s competitive market landscape. Among the most well-known are Google AdSense, Media.net, InMobi, and AppLovin. These ad network companies have made their mark by offering innovative solutions that cater to both advertisers’ and publishers’ needs alike.

For instance, Google AdSense is a widely used ad network that allows website owners to monetize their content by displaying targeted ads on their sites. By analyzing user behavior on websites, AdSense ensures that only relevant ads are shown to visitors, thereby increasing the likelihood of engagement. Meanwhile, Media.net specializes in contextual advertising – it displays ads based on the content of the web page – ensuring high relevance and better user experience. InMobi caters specifically to mobile app developers looking for ways to monetize their apps through in-app advertising. It provides access to global demand partners along with advanced targeting options for maximizing revenue generation.

While ad networks play an essential role in the online advertising ecosystem, it is crucial to understand how they differ from other key players such as demand-side platforms (DSPs) and supply-side platforms (SSPs). These distinctions can impact an advertiser’s choice of platform based on their specific requirements.

A DSP serves primarily as a technology solution for advertisers or media agencies seeking efficient programmatic access to multiple ad exchanges, networks, and SSPs. It automates the buying process by allowing advertisers to bid for ad inventory in real-time using sophisticated targeting parameters and data-driven insights. On the other hand, an SSP is designed for publishers, helping them manage, optimize, and sell their ad space to advertisers across various channels programmatically. Essentially, it streamlines the selling process while maximizing revenues for publishers.

The main difference between an ad network vs DSP or an ad network vs SSP lies in their respective functions within the advertising ecosystem. Ad networks bridge the gap between advertisers and publishers by aggregating unsold or remnant inventory and offering targeted opportunities to advertisers at discounted rates. In contrast, DSPs focus on providing technology solutions for efficient programmatic access to multiple sources of inventory with advanced targeting options, whereas SSPs cater exclusively to publishers by streamlining their ad space selling process.

Ad Exchange

An ad exchange is a digital marketplace where advertisers and publishers can buy and sell advertising space in real-time. It operates as an intermediary that facilitates the automated trading of online advertisements between various parties, including advertisers, ad networks, demand-side platforms (DSPs), and publishers. Ad exchanges represent a significant shift in the way online advertising is bought and sold, dramatically improving efficiency, targeting capabilities, and pricing transparency.

The core functionality of an ad exchange platform lies in its ability to streamline the buying and selling process for all participants. For advertisers, this means gaining access to a wide range of inventory from multiple publishers on a single platform. They can target specific audiences based on demographics, interests, behaviors, or other criteria by using sophisticated algorithms that analyze user data collected from various sources. For publishers, ad exchanges offer an opportunity to monetize their inventory more effectively by connecting them with relevant advertisers who are willing to bid higher prices for their desired audience segments.

There are numerous ad exchange examples that showcase how these platforms have transformed the digital advertising landscape. One such example is real-time bidding (RTB), which allows advertisers to bid on individual impressions based on specific targeting criteria rather than purchasing predefined blocks of inventory at fixed prices. This not only enables them to reach their desired audiences more accurately but also ensures that they pay fair market value for each impression served.

Another notable use-case involves programmatic direct deals between advertisers and publishers conducted through the ad exchange platform. In this scenario, both parties negotiate pricing and other terms upfront while leveraging the automated capabilities of the exchange to execute their campaigns efficiently and transparently.

Several prominent ad exchange companies have emerged as industry leaders over time due to their advanced technology offerings and comprehensive solutions catering to diverse stakeholder needs:

  1. The Trade Desk: As a leader in the ad exchange market, The Trade Desk brings unmatched credibility. It’s the #1 DSP, boasts impressive capabilities and unmatched credibility within the advertising space offering all solutions and partnerships across endless platforms, including connected TV, audio, display, video, and mobile.
  2. Google’s DoubleClick Ad Exchange (AdX): As one of the largest global ad exchanges available today, Google’s DoubleClick Ad Exchange offers unparalleled scale and reach for both advertisers and publishers across various platforms, including display, video, and mobile.
  3. AppNexus: Owned by AT&T’s Xandr, AppNexus is a prominent ad exchange that focuses on helping publishers monetize their inventory effectively while assisting advertisers in reaching their target audiences across multiple channels and formats.
  4. OpenX: With its advanced real-time bidding capabilities and commitment to transparency and brand safety, OpenX has gained significant traction among both advertisers and publishers seeking a reliable ad exchange partner.
  5. Rubicon Project: Combining direct deals with real-time bidding options, the Rubicon Project offers a versatile ad exchange platform catering to the needs of various industry stakeholders.
  6. Index Exchange: Known for its sophisticated programmatic solutions, Index Exchange has emerged as a popular choice for both advertisers and publishers looking to streamline their digital advertising activities through an efficient ad exchange platform.

The advent of ad exchanges has revolutionized the digital advertising ecosystem by offering enhanced efficiency, targeting capabilities, and pricing transparency to all players involved. By adopting these innovative platforms, advertisers can optimize their campaign performance while publishers can maximize revenue potential.

Programmatic Advertising

Programmatic advertising is an innovative approach to digital marketing that involves the automated purchase and sale of advertising spaces on various online platforms. Through a combination of data-driven algorithms, artificial intelligence, and real-time bidding, advertisers can efficiently target their desired audience while publishers optimize ad revenue. This advanced system streamlines the process by removing tedious manual tasks such as insertion orders and negotiations, thereby increasing efficiency and reducing the risk of human error.

You may be wondering, “How does programmatic advertising work?”. At its core, programmatic advertising relies on DSPs for advertisers and SSPs for publishers. DSPs enable advertisers to buy ad impressions across a wide array of publisher sites while SSPs help publishers manage their available ad inventory. When an advertiser targets a particular audience using specific criteria such as demographics or browsing history, the algorithm analyzes this information in real-time to determine which ad should be displayed to that user.

One key aspect of programmatic advertising is real-time bidding (RTB). As the name suggests, RTB is an instantaneous auction that occurs within milliseconds when a user visits a website with available ad space. Advertisers compete against each other in these auctions by submitting bids based on how valuable they deem the impression to be. The winning advertiser’s ad is then displayed on the publisher’s site, ensuring that ads are targeted at users who are most likely to engage with them.

Programmatic media is a broad term that encompasses various types of digital content where programmatic advertising can be applied. This includes display banners, video ads, native advertisements, social media promotions, and more.

A notable subset of programmatic media is programmatic display advertising – ads that appear as banners or other visual elements on web pages. These ads can consist of static images or rich media formats such as GIFs, animations, and interactive elements. Programmatic display advertising allows marketers to target users based on factors like the content of the page, user demographics, or behavioral patterns. This precise targeting enables advertisers to deliver relevant messages that resonate with their audience while maximizing return on investment.

A practical example of programmatic advertising in action can be seen when a consumer visits a travel blog. Based on their browsing history and interests, an ad for a tropical vacation package may appear as they scroll through the blog’s content. The advertiser responsible for this ad won their spot through real-time bidding and targeted the user based on specific criteria like recent searches for vacation destinations or frequent visits to travel-related websites.

The benefits of programmatic advertising extend beyond its ability to improve targeting precision and campaign efficiency. Its data-driven nature allows marketers to gain valuable insights into consumer preferences and behaviors, helping them refine their strategies over time. The wealth of data generated by programmatic campaigns also supports robust performance measurement, allowing advertisers to continually optimize their efforts and ensure they are allocating budgets most effectively.

As the industry evolves amid emerging challenges and opportunities, marketers who harness the power of programmatic will be well-positioned to drive meaningful results in an increasingly competitive landscape.

Google Ads

Google Ads, formerly known as Google AdWords, is a robust online advertising platform developed by Google that allows businesses to display their ads on Google’s search engine results pages (SERPs), YouTube, and across various websites within the expansive Google Display Network. As a multifaceted advertising solution, Google Ads plays an integral role in both ad networks and ad exchanges.

Google Ads serves as one of the most popular and effective ad networks available. By utilizing its extensive database of user information and sophisticated algorithms, Google Ads is capable of targeting specific audiences with precision, ensuring advertisers reach their desired demographics while maximizing return on investment (ROI). Additionally, publishers can monetize their websites by displaying relevant ads from the vast pool of advertisers utilizing the platform.

While separate entities from ad networks like Google Ads, ad exchanges often work in tandem with them to facilitate transactions efficiently. A notable example is Google Ad Manager – a comprehensive solution provided by Google designed to streamline the process for managing advertisements across multiple channels.

Google Ad Manager functions as both an ad server and an exchange platform. It connects seamlessly with several other platforms such as open auction marketplaces or private auctions set up by individual publishers through programmatic advertising techniques. This integration enables advertisers using Google Ads to access a broader range of inventory across different sites, reaching new audiences while retaining control over costs associated with targeting specific niches.

Understanding the interplay between Google Ads, ad networks like itself, and ad exchanges such as those facilitated by services like Google Ad Manager is critical for businesses looking to capitalize on digital marketing opportunities effectively.

Keynes Digital

Keynes Digital has carved its niche by leveraging innovative technology solutions to streamline and amplify advertising campaigns. In this competitive milieu brimming with countless choices for ad networks and ad exchanges, Keynes Digital stands out by offering unparalleled expertise, advanced programmatic solutions, and audience-first targeting approach. Proficiency in employing cutting-edge technologies such as artificial intelligence (AI) and machine learning allows us to meticulously analyze copious data points while delivering optimized recommendations for each campaign.

We are dedicated to cultivating transparent relationships between all parties involved in the advertising ecosystem. This commitment materializes through our rigorous vetting process that meticulously scrutinizes each publisher before inclusion within their network. Consequently, advertisers can be assured that they are working with reputable partners who share a common goal – elevating the performance and efficacy of marketing campaigns.

Keynes Digital starts with a strong partnership with The Trade Desk. As industry leaders, they offer cutting-edge products and innovative solutions that prioritize privacy and foster an open Internet world.

With The Trade Desk as our preferred demand-side platform (DSP), we ensure that our clients receive the best tools and technology to drive successful advertising campaigns. Their commitment to privacy-centric practices aligns perfectly with our values and ensures a secure and transparent advertising ecosystem.

Keynes Digital transcends the realm of ordinary ad networks and ad exchanges by offering a holistic suite of services tailored to cater to the unique requirements of each client. Partnering with us not only guarantees access to an extensive network of premium publishers but also ensures that campaigns are driven by data-driven insights, resulting in enhanced targeting and heightened return on investment (ROI).

Cross Device Tracking

Cross-device tracking has become an essential tool for marketers in today’s ever-evolving digital landscape, allowing businesses to engage with their target audience more effectively through cross-device marketing. This advanced strategy involves monitoring user behavior and preferences across multiple devices – from smartphones and tablets to desktop computers and beyond – in order to deliver a seamless, unified experience that encourages a strong connection between users and brands. Additionally, the integration of cross-device tracking in GA4 (Google Analytics 4) gives marketers the opportunity to harness even more valuable insights about their audience’s online habits than ever before. One standout feature of Keynes Digital, unlike some other CTV partners, is our seamless integration with GA4. This integration sets Keynes apart in the space.

With cross-device tracking, it becomes possible for businesses to create more personalized and relevant marketing campaigns that resonate with potential customers on different platforms, including social media channels, emails, or websites. As a result, this data-driven approach not only fosters customer loyalty but can also lead to increased conversion rates and ROI.

The implementation of cross device tracking is particularly advantageous as it provides enhanced features such as audience modeling and predictive analytics capabilities. These functionalities enable marketers to identify trends among their target demographics better and gain a deeper understanding of how users interact with their content from different devices. Armed with these invaluable insights, businesses can optimize their marketing efforts by tailoring messages according to each user’s unique preferences and behaviors.

Leveraging the power of cross-device tracking is crucial for any modern marketer looking to stay ahead of the curve. By providing businesses with insightful data about users’ browsing patterns across various devices, this innovative technology enables marketers to create compelling strategies tailored specifically for individual customer needs while maximizing ROI through successful cross-device marketing campaigns. Furthermore, by employing solutions such as cross-device tracking which offers breakthrough audience analytics tools, organizations can better understand their target market dynamics – ultimately leading them toward prosperous growth trajectories in an increasingly competitive digital space.

At Keynes Digital, our advanced cross-device tracking ensures seamless campaign execution and delivers valuable insights to our clients. We expertly monitor user behavior across multiple devices, providing a holistic view of customer journeys. This invaluable data enables us to optimize campaigns in real time, maximizing their effectiveness.

Cross Device Meaning

In today’s highly connected and digitally-driven world, cross-device meaning is rapidly gaining importance in the realm of marketing and customer engagement. With the proliferation of smartphones, tablets, laptops, and various other smart devices, it has become crucial for businesses to invest in cross-device compatibility to ensure a seamless experience for their users across multiple platforms.

Cross-device tracking is an essential component of this process as it allows marketers to gather valuable insights into consumer behavior patterns by monitoring how users interact with content on different devices. Armed with this data, companies can develop targeted marketing strategies that effectively engage consumers across various touchpoints. Furthermore, cross-device meaning extends beyond merely tracking user interactions; it encompasses creating a harmonious ecosystem where all digital assets are optimized for consumption on any screen size or operating system. This not only enhances user satisfaction but also increases brand loyalty and ultimately boosts revenue streams. So if you’re looking to stay ahead of the curve in the ever-evolving world of digital marketing, make sure you prioritize cross-device compatibility and leverage powerful tools like cross-device tracking to deliver a consistent and engaging experience to your audience at all times.

Private Compute Services

Private compute services are the cutting-edge solution for businesses and individuals who require a secure and efficient way to manage their data and digital activities. As technology continues to evolve at a rapid pace, new challenges emerge in the realm of online privacy. One such challenge is cross-device tracking, which enables companies to follow users across multiple devices as they browse and engage with various websites and applications. This practice often raises concerns regarding user privacy, making it crucial for businesses to stay ahead of the curve by employing solutions like private compute services.

One popular method of cross-device tracking is probabilistic cross-device tracking. This technique uses sophisticated algorithms to make educated guesses about which devices are being used by the same individual based on factors such as browsing habits, location data, and device characteristics. While this approach may provide valuable insights for marketers, it also has potential drawbacks when it comes to user privacy. By leveraging private compute services, organizations can ensure they are taking necessary precautions against these potential risks while still harnessing the power of cross-device data.

Additionally, deterministic cross-device tracking is all about connecting the dots between different devices a person uses to access the internet, whether it’s their laptop, smartphone, or tablet. With this method, marketers can gain a more complete picture of their audience’s online behavior. These services ensure that user data is secure and protected, allowing for accurate cross-device tracking while maintaining privacy. So, you can rest assured that your information is safe while enjoying a seamless and personalized online experience.

Private compute services offer a multitude of benefits for businesses that prioritize both security and innovation. These services integrate advanced encryption protocols and other security measures to minimize privacy risks associated with cross-device tracking while maintaining seamless functionality across user experiences. By implementing private compute services in conjunction with techniques like probabilistic cross-device tracking, businesses can make informed decisions about their advertising strategies based on comprehensive user insights without compromising consumers’ trust or violating privacy regulations. Private compute services offer a powerful combination of efficiency, security, and peace of mind in an increasingly interconnected digital landscape.

Cross Device Targeting

Cross-device targeting has revolutionized the digital marketing landscape by enabling advertisers to deliver a consistent and seamless user experience across multiple platforms. This advanced strategy allows marketers to engage with potential customers on their preferred devices, whether it be desktop, mobile, or tablet. Implementing cross-device targeting in your marketing efforts can significantly increase brand awareness and drive higher conversion rates for your campaigns.

Keynes Digital offers an array of sophisticated cross-device targeting options that allow you to effectively reach consumers at various stages of their purchase journey. By utilizing cutting-edge technology and leveraging our partnerships, we have access to numerous targeting capabilities, such as behavioral, demographic, contextual, geographic, and retargeting. These powerful tools empower marketers to create highly targeted campaigns that resonate with their intended audience and deliver impressive results.

In summary, cross-device targeting is an essential component in today’s ever-evolving digital ecosystem. You can significantly elevate your advertising strategy and ensure you stay ahead in this competitive market. Embrace the possibilities of cross-device marketing and unlock endless opportunities for your brand’s growth and success.

Do I Need Cross-Device Services?

As a modern-day tech-savvy individual or business, you may find yourself asking, “Do I need cross-device services?” This pertinent question is one that demands careful consideration, as the rapidly evolving digital landscape calls for advanced solutions to cater to the ever-growing need for seamless interaction and data sharing across various devices. Harnessing the power of cross-device SDKs (Software Development Kits), developers can effortlessly create applications that facilitate smooth communication between different devices, making our lives more connected and efficient than ever before.

Cross-device tracking allows businesses to understand user behavior across multiple gadgets like smartphones, tablets, laptops, and desktops. This invaluable insight enables them to tailor their marketing strategies accordingly and target their audience with laser precision. The private compute services app is an essential tool in an age where privacy concerns are paramount; it ensures that your sensitive information remains protected while empowering you to harness the full potential of cross-device capabilities.

Whether you’re an individual seeking seamless connectivity in your personal life or a business aiming for impactful marketing campaigns backed by robust insights from cross-device tracking, investing in cutting-edge cross-device services and solutions will undoubtedly enhance your overall experience in today’s hyperconnected world where convenience reigns supreme.

Our Platform

At Keynes Digital, we specialize in providing exceptional cross-device tracking solutions for brands. Our platform is meticulously designed to seamlessly track user activity across multiple devices, ensuring that your data and insights are always accessible. With our platform, you can always have the most up-to-date data and stay ahead of the game.

Our dedication to serving our clients is reflected in our full cross-device and cross-platform reporting capabilities. Our exceptional cross-device tracking solutions are designed to revolutionize how brands gain valuable insights about their audiences. We pride ourselves on catering to the needs of our clients, offering reliable and top-notch services that ensure seamless performance and functionality across various devices. In fact, we’ve even gone as far as to curate custom dashboards around insights of value for our partners.

Our platform is fully equipped with advanced tracking technology and robust reporting tools, enabling brands to uncover valuable information and make informed decisions. Reach out to us today and witness how Keynes Digital empowers brands with extraordinary cross-device integrations.

Real Time Location Based Advertising

Real time location-based advertising is a powerful marketing strategy that allows businesses to reach their target audience with precision and relevance. At Keynes Digital, we understand the importance of reaching customers in the right place at the right time, and our expertise in real time location-based advertising can help your business achieve its marketing goals. Here are some examples of how real time location-based advertising can be utilized:

1. Geofencing: Geofencing is a popular technique in real time location-based advertising, where virtual boundaries are set around specific locations. When a user enters or exits these geofenced areas, they can be targeted with personalized ads. For example, a retail store can set up a geofence around its physical location and send promotional offers to potential customers within the vicinity.

2. Beacon marketing: Beacon technology enables businesses to send targeted messages directly to users’ mobile devices when they are in close proximity to a beacon. For instance, a coffee shop can use beacons to attract customers by sending them exclusive discounts or notifications about new menu items as they pass by.

3. Location-based recommendations: Real time location-based advertising can also be used to provide location-specific recommendations to users. For example, a travel app can suggest nearby attractions, restaurants, and hotels based on the user’s current location. This personalized approach enhances the user experience and increases the chances of conversion.

4. Proximity marketing: Proximity marketing leverages Bluetooth and Wi-Fi technologies to deliver promotional messages to users in close proximity to a business location. For instance, a clothing store can send push notifications to customers who have opted in for such messages, highlighting ongoing sales or exclusive deals.

5. Geo farming: Geo farming is a tactic used by advertisers to target customers at a specific location – whether on-premise or in proximity of a point of interest – and re-target them at a later time with the same ad. This powerful tool enables businesses to tailor their messaging to a precise audience, maximizing their marketing efforts and driving results. Embrace the potential of geo farming to engage prospects and increase visibility in your local market.

At Keynes Digital, we are one of the leading location-based marketing companies, offering a full suite of services to maximize the potential of real time location-based advertising. Our team of experts understands the intricacies of location-based marketing and can help you develop a tailored strategy that aligns with your business objectives.

Real time location-based advertising is a game-changer for businesses looking to amplify their reach and engage with their target audience on a more personal level. Through techniques such as geofencing, beacon marketing, location-based recommendations, proximity marketing, and geo farming, businesses can deliver highly targeted, contextual ads to potential customers at the right time and place. Partner with Keynes Digital, your trusted full-service programmatic advertising partner, to harness the power of real time location-based advertising and unlock new growth opportunities for your business.

Location-Based Advertising Examples

Utilizing location-based advertising can be highly effective for businesses looking to reach their target audience. There are numerous examples of location-based advertising that businesses can employ to effectively reach their target audience. For example, a local restaurant could utilize this strategy by promoting exclusive discounts or special offers to potential customers within a certain radius of their location. Additionally, a retail store could tailor their advertisements to individuals in proximity, offering personalized recommendations based on the weather conditions in that specific area. Or, a fitness studio could target individuals within a specific radius of their location by promoting special membership discounts. Location-based advertising can also be used during local events or festivals to encourage foot traffic to businesses.

By targeting the right location, businesses can enhance their marketing efforts and drive higher engagement with their target audience.

There are many more location-based marketing examples taking place every day, often without consumers even noticing.

Target Location for Business: Example

When targeting the right location for businesses, businesses can also target larger wholesale stores with their ideal audiences. For example, say you work at a CPG company with a very health-focused product and clientele. A good example location to geofence for your advertising campaign could be Whole Foods, Trader Joes, or any other health-focused retailer.

Benefits Of Location-Based Marketing

  • Easy tracking and targeting of prospects based on their geographic location
  • Enhanced effectiveness of advertising campaigns through personalized, hyper-localized messages
  • Higher engagement rates and increased conversions from delivering targeted messages to the right audience
  • Precise audience targeting for reaching the right people at the right time and place
  • Optimization of advertising efforts to increase brand visibility
  • Generation of more qualified leads for business growth

At Keynes Digital, we are experts in location-based marketing. We understand that as a marketer, you need a partner who can help you maximize the impact of your advertising campaigns. With our full-service programmatic advertising solutions, marketers find it easiest to track their results in their location-based marketing efforts.

One of the key benefits of location-based marketing is the ease of tracking and targeting prospects based on their geographic location. With this approach, you can ensure that your advertising messages reach the right people in the right place at the right time. This highly targeted approach enhances the effectiveness of your campaigns, leading to higher engagement rates and increased conversions.

Another advantage of location-based marketing is the ability to deliver personalized, hyper-localized messages. By tailoring your messages to the specific needs and interests of your target audience in different locations, you can create more meaningful connections and drive better results.

Precise audience targeting is also a significant benefit of location-based marketing. With our expertise, we can help you reach the right people at the right time and place, maximizing the efficiency of your advertising efforts and ensuring that every dollar you spend is well-targeted.

By leveraging the benefits of location-based marketing, your business can optimize its advertising efforts, increase brand visibility, and drive more qualified leads. Let us help you unlock the full potential of location-based marketing and take your advertising to the next level.

Geofencing vs Geo Farming

Geofencing and geo farming are two location-based advertising strategies that businesses can utilize to target their audience effectively. At Keynes Digital, a leading full-service programmatic advertising partner, we understand the importance of real-time location-based advertising.

Geofencing is the process of defining a virtual boundary around a specific location and sending targeted ads or notifications to mobile devices within that area. With geofencing, businesses can reach potential customers who are actively present in a particular neighborhood, event, or store.

On the other hand, geo farming involves the creation of a virtual perimeter around a broader area, such as a city or zip code, and re-targeting them at a later time with the same ad. Geo farming allows businesses to establish brand presence and engage with prospects repeatedly. At Keynes Digital, we partner with the top geo farming and top geofencing companies to reach our clients’ target audience effectively.

When it comes to geofencing and geo farming, it’s important to partner with industry-leading marketing companies that specialize in this field. One such company that stands out is Foursquare. Foursquare has established itself as a powerful force in the geofencing and geo farming marketing space. With their expertise and cutting-edge technology, they offer solutions that are tailored to meet the specific needs of businesses.

Foursquare’s geofencing capabilities allow businesses to target customers within a specific geographic boundary, ensuring maximum reach and engagement. By strategically setting up virtual fences, businesses can trigger location-based notifications and advertisements, effectively engaging potential customers in real-time.

In the world of geofencing marketing companies, Foursquare is truly a trailblazer. Their robust platform and reliable data provide businesses with the tools they need to launch successful geofencing campaigns. With their proven track record and innovative approach, Foursquare is the go-to choice for businesses seeking to harness the power of geofencing marketing.

Location-based Marketing Statistics

We have gathered compelling location-based marketing statistics that demonstrate the effectiveness of this strategy:

  • 90% of consumers are more likely to engage with brands that offer personalized experiences based on their location.
  • Location-based mobile marketing campaigns see a 14% increase in conversion rates compared to generic campaigns.
  • 80% of consumers are more likely to visit a store if they receive personalized offers based on their current location.
    Location-based marketing drives a 32% increase in foot traffic to physical stores.
  • 70% of consumers feel that location-based marketing improves their shopping experience by providing relevant information and offers.
  • In a recent study, 63% of marketers reported that location-based marketing increased their customer engagement and loyalty.

These statistics highlight the power of real-time location-based advertising in driving customer engagement and boosting conversions.

At Keynes Digital, we are experts in harnessing the power of location-based marketing to help businesses effectively reach their target audience. Our cutting-edge technology and data-driven insights allow us to create personalized and impactful marketing campaigns that deliver results. By analyzing location data, we can pinpoint the exact target market for our clients and craft highly targeted advertisements that resonate with their audience. Whether you want to increase foot traffic to your brick-and-mortar store or drive online conversions, our location-based advertising solutions will help you achieve your goals.

Lookalike Targeting

Lookalike targeting is a powerful tool for programmatic advertising that brings significant benefits to advertisers in finding their niche audiences. By leveraging the power of data and algorithms, lookalike targeting enables advertisers to identify and reach new customers who have similar characteristics and behaviors to their existing customer base. The accuracy of lookalike targeting is impressive, as it allows advertisers to expand their reach while ensuring that their message is delivered to the right people.

For example, let’s say a clothing retailer wants to expand its customer base and increase sales. By utilizing lookalike targeting, the retailer can create a lookalike audience that consists of individuals who share similar demographics, interests, and purchase behaviors as their most valuable customers. The retailer can then run targeted ads to this lookalike audience, increasing the likelihood of attracting new customers who are highly likely to be interested in their products.

This precision in targeting is crucial for advertisers, as it reduces wasted ad spend and maximizes the chances of conversions. The lookalike audience percentage of similarity in comparison to the original audience may vary depending on the advertiser’s goals and the quality of data used. Nonetheless, the concept of lookalike targeting remains a valuable asset for advertisers seeking to optimize their programmatic advertising strategies.

Custom Audience Vs Lookalike Audience

Custom audiences and lookalike audiences are two key audience targeting methods used in programmatic advertising.

Custom Audience Meaning

A custom audience is built by leveraging specific data points provided by advertisers. This can include information such as email addresses, phone numbers, or website visitors. By using this data, advertisers can create audience segments that match specific criteria. For example, a custom audience can be built by uploading a CSV file containing the email addresses of existing customers. This allows advertisers to target their ads specifically to this group of customers.

Lookalike Audience Meaning

On the other hand, lookalike audiences are built based on the characteristics and behaviors of an advertiser’s existing custom audience. It identifies new users who are similar to the custom audience in terms of interests, demographics, or online behaviors. For instance, if an advertiser has a custom audience of people who have made purchases, a lookalike audience can be created to find similar users who are likely to be interested in similar products or services.

To create a lookalike audience, advertisers generally use a lookalike audience builder tool provided by advertising platforms. The tool analyzes the data of the existing custom audience and identifies patterns or characteristics to find users who are most similar to the original audience. This helps advertisers reach a wider audience that is likely to have similar interests and behaviors. At Keynes Digital, we leverage partnerships with the world’s leading data providers and our partnership with The TradeDesk to build accurate lookalike audiences.

Lookalike Audience vs Custom Audience Summary

Custom audiences are created based on specific data points provided by advertisers, while lookalike audiences are built based on the characteristics of an advertiser’s existing custom audience. Both targeting methods offer unique benefits and can be effective in reaching the right audience for programmatic advertising campaigns.

Types of Lookalike Audiences

Lookalike audiences are a powerful tool in programmatic advertising that can greatly enhance your targeting capabilities. At Keynes Digital, we excel at helping our clients reach their desired audience through the strategic use of lookalike audiences.

Here are some examples of the types of lookalike audiences you can create:

1. Website Visitors: By creating a lookalike audience based on your website visitors, you can reach people who have similar interests and behaviors to those who have already shown an interest in your website. For example, if your website draws visits from mothers who enjoy gardening, it’s possible to build a lookalike audience using this data and behaviors.

2. Customer List: Lookalike audiences can also be created based on your existing customer list. This allows you to expand your reach and target people who share similar characteristics with your current customers. For example, if you have had a consistent amount of fishermen in the Northeast purchasing products from your website, these could be audience characteristics that you’d like to form a lookalike audience around.

3. App Users: If you have a mobile app, you can create lookalike audiences based on the users of your app. This is especially useful if you’re looking to acquire new users who are likely to engage with your app. For example, if there is an audience of Crossfit enthusiasts who have been downloading your app, it may be worth your while to build a lookalike audience around this.

4. Social Media Engagement: Another way to create lookalike audiences is by leveraging social media platforms. By targeting people who have engaged with your social media pages, you can identify similar individuals who may be interested in your products or services. For instance, if habitual dog walkers in California have been engaging with your Twitter posts, you can build a lookalike audience around this.

How to Create a Lookalike Audience

By collaborating with Keynes Digital’s extensive network of data partners and utilizing cutting-edge tools, we can help you create highly targeted lookalike audiences. These audiences are built based on the characteristics and behaviors of your existing customers and then expanded to reach new prospects who exhibit similar traits. This strategic approach guarantees maximum reach and audience relevance, ensuring the success of your programmatic advertising campaigns. Trust our expertise and experience to drive your business forward.

Lookalike Audience – Facebook

By leveraging Facebook Audience Insights and building upon the characteristics and behavior of your existing custom audience, you can identify and target lookalike audiences that closely resemble your ideal customers. Facebook custom audiences can be built out and similar to any other platform, a Facebook lookalike audience is based on your custom audiences.

Building a successful Facebook lookalike audience starts with having a custom audience of at least 1,000 active users. Facebook’s guidelines recommend not using custom audiences to build lookalike audiences with fewer than 1,000 users. It is important to maximize the value of your data, ensuring that your message reaches a broader audience that shares similar traits and behaviors as your existing customers.

Once you have a well-defined lookalike audience, the possibilities for targeted marketing are endless. By utilizing this audience segment, you can significantly increase the performance and ROI of your Facebook advertising campaigns. Lookalike audiences allow you to expand your reach beyond your current customer base, reaching potential customers who have a higher likelihood of converting.

Custom audiences are another powerful tool in your Facebook advertising arsenal, and we know how to make the most out of them. By creating custom audiences based on different attributes, such as demographics, interests, or website visitors, we can further refine your targeting and deliver personalized messages to the right people at the right time.

At Keynes Digital, we take a friendly and proactive approach to help you navigate the complexities of Facebook advertising. Our industry expertise allows us to guide you through the process of building and utilizing lookalike audiences and custom audiences effectively.

Partner with us for your programmatic advertising needs and take advantage of the advanced targeting capabilities Facebook offers. Let us help you make the most out of your Facebook advertising efforts and reach the right audience with the right message, driving better results for your business. Contact us today to unlock the true potential of lookalike targeting on Facebook.

Lookalike Audience Google Ads

Lookalike Audience Targeting in Google Ads is a powerful feature that can be utilized to help brands reach their target audience effectively. With lookalike audience targeting, you can expand the reach of your ads to new potential customers who are similar to your existing customer base. By analyzing the characteristics of your current customers, such as their demographics, interests, and online behavior, you can create lookalike audiences that share these same traits. This allows you to serve targeted ads to a wider pool of potential customers who are more likely to have an interest in your products or services. With lookalike audience targeting in Google Ads, you can maximize the effectiveness of your advertising campaigns and drive better results.

Lookalike Audience

Keynes Digital’s full service programmatic advertising business is dedicated to providing the best solutions for our clients. We understand the importance of targeting the right audience, and that’s why we partner with the best technologies in the industry. Lookalike audiences are some of the best-performing segments for our clients to gain insights into their target audience.

Creating a lookalike audience involves using data analysis and algorithms to identify individuals who share similar characteristics and behaviors to an existing customer base. This allows our clients to reach a wider pool of potential customers who are likely to be interested in their products or services. Timing is crucial when using lookalike audiences, and our team of industry specialists can guide you on when it’s best to leverage this strategy. At Keynes Digital, we’re committed to optimizing your advertising campaigns and helping you find success with lookalike audiences.

Advertising and Brand Awareness

The ultimate goal of all advertising is to drive sales. However, much of advertising is geared towards a specific goal, or even is product advertising aimed toward the specific purchase of a specific offering. Most advertisers, including well-known advertisers who are market leaders in their industries, make brand awareness marketing a part of their marketing efforts. They produce advertisements and engage in other visible activities whose immediate purpose is to keep their brand prominent in the eyes and the minds of the public.

Why is brand awareness important? Because consumers are generally more comfortable buying a product when they’re familiar with the brand name. There’s a tendency for people to buy from the top three companies they associate with a product. Those are the top three they think of right this minute, not necessarily the three that would have come to mind a year ago. That’s why even highly visible and successful companies continue to produce brand awareness advertising.

Think of the Nike “Just Do It” ads or the Budweiser brand awareness ads examples featuring Clydesdales. These are brand advertising examples, aimed at keeping their names at the top of the list that customers associate with athletic shoes and beer.

While the goal of name recognition hasn’t changed, modern technology has greatly expanded the toolset marketers can bring to advertising and brand awareness. Gone are the days when advertising was limited to radio, TV, newspapers, magazines and billboards. In fact, while those old advertising media are still important, they aren’t adequate to keep a brand name alive in the minds of today’s audiences. Advertisers need to be seen on the screens they surf on everyday, i.e. websites, streaming videos, streaming shows and movies, and social.

In fact, a lot of written advertisement examples seen today wouldn’t even be recognized by yesteryear’s marketers as advertisements. Think of a tweet that refers to a company in the tone of one friend talking to another. Think of a mention in a blog post with words that differ in structure from ad copy examples but still promote a specific company. In those cases, the goal is not only for a company to talk about itself but also to get potential customers talking to each other about it.

Twenty-first century brand awareness presents a challenge and an opportunity. The challenge is to understand all the ways modern people become aware of a brand, and opportunity is to use more methods than ever before to raise a brand’s recognition factor.

Brand Awareness Strategy

Brand awareness strategy is changing because advertising is changing. For brand awareness strategy examples, just look at viewable advertising. Viewable used to be limited to TV ads, and those were ads seen on a traditional set, via cable or satellite or even old-fashioned antenna. That’s no longer what viewers watch, particularly the coveted younger viewers.

Instead of cable television, today’s viewers are watching streaming content on Connected TV’s laptops, tablets and phones. And instead of watching traditional TV shows when they air live, they’re watching archived shows, movies and other content. When they are turning on the television sets, they’re watching connected TV, which gives them the same streaming capability as their other devices.

Today’s brand advertising strategy has to take advantage of these new ads, which are no longer traditional TV spots that appear to a large, unknown audience on a specific show at a specific time. They’re brief video clips that show up before or during whatever content a viewer is streaming. Furthermore, the model for buying and selling these ads has shifted from buying directly to using programmatic advertising. Advertisers specify the demographics of the audience they hope to reach and upload ads to a Demand-Side Platform (DSP) that executes the programmatic buying and selling. The ads are placed into streaming content via an automated AI algorithm that places advertisers messages on ad spots that serves their targeted audience. From this, they’re able to track various online user metrics, such as a specified number of viewings, or impressions.

Every company works on how to build brand awareness in advertising. Now, advertisers and agencies are learning how to create brand awareness in the programmatic landscape to improve their insights and adjust strategies based on that. Brand awareness examples today are similar to traditional ads, giving visibility of the company without pitching a specific product. However, the programmatic environment creates an opportunity to better distribute and target a specific audience. Further, the cost to participate in programmatic advertising is lower than a broadcasted TV campaign aimed at the nationwide audience, so small and medium-sized organizations have a better chance to compete. This even includes social media advertising examples, such as Facebook, Twitter or Instagram.

How To Measure Brand Awareness

It’s one thing to hit multiple advertising segments with messages aimed to build a brand, but how can an advertiser know how effectively they’re doing it? What types of brand awareness are they achieving?

There are traditional ways to measure brand awareness, such as share of voice (SOV), which measures how well an advertiser competes against their competitors for mentions in print, broadcast and other media.

If an advertiser is using technology such as programmatic advertising, there’s an entire new world of brand awareness metrics. Technologies present dashboards that report key performance indicators (KPIs). These include number impressions (how many saw the online advertising examples), clicks and click-through rate.

Even more granular information is available. For example, an advertiser can learn where customers clicked from to get to their site, the type of advertising channel, or network that reached the users, what date and time the users received that ad versus what date and time they acted. Advertisers benefit from a wealth of demographic information, not only the basics such as age and geographic location, but also which technology they use, their interests and their brand preferences.

In the programmatic world, advertisers receive and combine measures from website, video and Connected TV activity. There are metrics available to assess how many new users have responded to a campaign. They’re able to track factors that aren’t possible without technology’s help.

Advertiser’s goals should be to use this rich information to optimize them. Brand awareness tactics even enable advertisers to retarget customers who’ve shown interest in their ad campaigns on one channel, and present them with reminders and coupons on another channel. By continuously evaluating the programmatic metrics, advertisers are able to tweak their targeting to make a brand awareness campaign even more effective.

Brand Advertising

A successful ad campaign has to take into consideration not only product awareness but also the importance of brand awareness.

As for extremely successful marketing campaign examples, look at the big player brands in advertising that play a major role in consumers minds. For example, Red Bull’s “gives you wings” campaign stands out as a host of energy drinks. One would think these big players, such as Coca-Cola and Sony would be confident of their well-earned position in the market, but they still run high-level brand awareness campaigns. Their campaigns don’t promote products as much as ensure that the advertising gets to the top and stays on top in brand recognition and recall.

Some other brand awareness campaign examples include Geico. Geico wasn’t a top name in insurance until they put a lizard on a TV screen. Rocket Mortgage went from niche online lender to a nationwide mortgage leader by initially having a brand awareness goal. There are organizations with hashtags such as #ShareACoke or Volkswagen’s #Vwvan. Some non-competing brands, such as Sherwin-Williams and Pottery Barn, have entered into complementary partnerships where one’s products are highlighted on the other’s site. All these brands started by letting the consumer know who they are, what they do, and why they can help the consumer.

To realize the advantages of brand awareness, advertisers must keep working at it. Fortunately, programmatic advertising and related tools provide more opportunity than ever. With Connected TV and other types of streaming digital viewing, there’s a chance to get to know the target audience, understand how they interact with specific advertisements and refine them based on the learnings. With blogging and social media, there is even the possibility of reaching users or influencers who will share and discuss companies and products. With technology on the demand side of programmatic trading, there’s a wealth of how advertisers can customize their ads and what they can learn about their effectiveness each can do for their brand.

Advertising in a Post-Pandemic World

As we’ve all come to realize, the pandemic is inflicting lasting changes on industries of all kinds. In consumer-facing industries, these changes are likely to include even more of a shift toward digital advertising platforms. While the transition toward digital methods is not new, it’s fair to say that it’s been sped up, and is likely to continue doing so. Below, we’ll take a look at some of the specific changes we’re seeing in marketing, and most importantly, why they are necessary.

More Online Shopping

At the height of the pandemic, we saw in-store traffic decreasing. And while in-store shopping bounces back, it likely won’t return to pre-pandemic levels. This made a lasting shift even more toward online shopping, where digital marketing has become necessary for businesses to meet online shoppers where they are. Mega retailers like Amazon have been setting the stage for situations like this for years, and now, more businesses of all types and sizes must follow the example and gear their marketing and advertising online –– with everything being just a click away.

Career Directions

As a natural consequence of digitalization, careers in communications are already shifting naturally toward digital and data-driven marketing. Positions such as advertising manager, marketing specialist, and even social media specialist are fast-growing roles, and all involve concentration on data, trends, and market analysis. People are training in various skills and on various platforms to join companies as digital marketers, such as running Google ads, Facebook ads, or even connected TV ads. And as an added bonus, such career paths are also suitable to the emerging WFH environment, within which people can easily contribute to employers’ online marketing needs from virtually anywhere.

Work-From-Home (WFH)

Employees from all backgrounds and industries are finding themselves working from home using laptops and phones instead of working in an office environment. As a result, they usually find themselves doing a little more personal browsing, meaning more opportunity for advertisers to engage with their consumers.

Targeting Specific Audiences

Demographics are vital for reaching your audience in modern marketing. Keynes Digital provides the resources to help advertisers make sure they get their messages In front of people who are more likely to want or need their products or services. Increased screen times and content consumption allows us and advertisers to continue to learn more about audiences. This allows Keynes and other digital advertising services to have more access to consumer data than ever before, which only improves their ability to implement targeted digital marketing efforts.

People Are Staying at Home

Now with more people deciding to spend more time at home –– even outside of working hours –– they are also changing their day-to-day habits. Many people are doing more exercise, starting new hobbies, and just enjoying their free time more. As a result, people are also using their mobile devices, tablets, laptops, and TVs more. This gives programmatic advertising agencies and advertisers more opportunities to tailor content to the needs of their audiences –– which also falls under the digital marketing umbrella.

Cost-Effective Advertising Platforms

Digital ad platforms tend to be one of the most affordable forms of outreach for advertising. Rather than paying for an advertisement in the traditional sense, advertisers can now take advantage of programmatic using device displays, audio devices, and connected TV devices to put content in front of consumers. Connected TV advertising in particular is a fast-growing channel because it helps advertisers intelligently and efficiently reach cord-cutters who are no longer seeing conventional TV ads.

Considering all of the above, it’s fair to say that the pandemic has expanded and built up the opportunities that digital marketing had already begun to provide for businesses. Some of the conditions described above are not permanent, and the post-pandemic world will revert at least somewhat toward the “old” normal. But the advantages of advertising platforms that have become ever more clear are likely to remain and innovate into new advertising platforms, and companies will continue to prioritize these methods as the industry grows.

Written by Emmie Landyn

Programmatic Audio Ads

Audio ads are a form of digital advertising delivered through audio channels such as music streaming services, podcasts, and internet radio. Audio ads can be an effective way for brands to reach their target audience with engaging content that complements the listening experience.

Programmatic audio ads, in particular, are targeted ads that are delivered programmatically, based on user data such as location, age, gender, and listening behavior. This allows brands to target their ads more precisely, leading to better engagement and conversion rates.

Audio ads are served on numerous platforms, including music streaming services like Spotify and Pandora, podcast apps like Apple Podcasts and Google Podcasts, and internet radio services like TuneIn and iHeartRadio. These platforms offer a convenient and personalized listening experience that consumers can access on the go, making audio ads an effective way to reach audiences during their daily routines.

Compared to traditional radio ads, programmatic audio ads have several advantages. One key advantage is the ability to target specific audiences based on their demographic and behavioral data. Another advantage is the ability to provide a more personalized listening experience, with ads that are tailored to the listener’s interests and preferences.

Audio platforms are also very convenient for consumers on the go. With the rise of smartphones and mobile devices, consumers can access audio content from anywhere. This has made audio advertising a popular choice for brands looking to reach consumers in their daily lives, whether they are commuting to work, exercising, or simply relaxing at home.

Audio ads are a powerful form of programmatic advertising that can be delivered through a variety of platforms, including music streaming services, podcast apps, and internet radio. With their advanced targeting capabilities and personalized listening experience, audio ads offer a convenient and effective way for brands to reach their target audience on the go.

Audio Ads Examples

Compared to traditional radio ads, programmatic audio ads are more targeted and measurable. For example, marketers can use programmatic audio ads on Spotify to target users based on their music preferences, demographics, and location. They can also use data to track the effectiveness of their campaigns and make adjustments in real time.

Some Spotify audio ads examples of programmatic could include:

  • Audio ads played during song breaks
  • Sponsored playlists featuring branded content
  • Audio ads that appear between podcast segments

These ads can be customized to fit the tone and format of the platform they are played on, making them more engaging and relevant to the listener.

Spotify Audio Ads for Digital Marketers

Spotify audio is everywhere. Spotify is a music and podcast streaming platform that has become an important channel for digital marketers. With over 365 million active monthly users, including over 165 million subscribers, Spotify offers an extensive audience that marketers can leverage to reach new consumers. The platform’s popularity has also made it a valuable premium channel in the programmatic space.

One of the key advantages of using Spotify for audio ads is the platform’s ability to provide highly targeted ad placements. Spotify uses a variety of data points, including age, gender, location, and listening behavior, to serve ads to specific audiences. This allows marketers to create campaigns that are tailored to the preferences and interests of their target consumers, leading to more effective ad engagement and higher conversion rates.

Another advantage of using Spotify for audio ads is the platform’s ability to provide audio ad placements across multiple devices and platforms. Spotify audio ads can be served on desktop and mobile platforms, as well as smart speakers and gaming consoles, reaching users wherever they are listening. This provides brands with a greater opportunity to connect with their audience and drive conversions.

In addition, Spotify offers several audio ad formats, including audio everywhere, sponsored sessions, and sponsored playlists, that provide a high level of flexibility and creativity for marketers. Brands can experiment with different ad formats to determine which approach works best for their audience and campaign goals.

Spotify provides comprehensive analytics and reporting tools that allow marketers to track the performance of their audio ads in real time. This includes metrics such as reach, frequency, engagement, and conversion rates. By analyzing this data, marketers can optimize their campaigns to improve performance and ensure that they are reaching their target audience effectively.

Spotify provides a valuable premium channel for programmatic audio advertising. With its extensive audience reach, advanced targeting capabilities, multi-platform delivery, flexible ad formats, and comprehensive analytics, Spotify offers a range of benefits for digital marketers looking to drive engagement and conversions through audio ads.

Spotify Audio Specs

The audio specs for Spotify are universal for all programmatic audio. They require a minimum audio bitrate of 128kbps and a maximum audio duration of 30 seconds for audio ads. Spotify also requires that audio ads be in MP3 or M4A format. Below is everything you need to follow for general audio specs:

First-Party Supported Formats

  • MP3
  • M4A
  • WAV

3rd-Party Supported Formats

  • MP3
  • OGG
  • *We recommend that you include both MP3 and GG file types in your tag

Bitrate(Recommended)

  • 160 KBPS

Spot Length

  • 15 seconds
  • 30 seconds
  • 60 seconds (not recommended)

Companion Banners (a Keynes thing)

  • JPEG, PNG

For a full list of audio specs, marketers can refer to Keynes’ audio specs, which can be found on their website.

Audio Ads for Publishers

There are several types of audio ad placements that marketers can serve to users listening to audio content. These include:

  • Pre-roll ads that play before the content starts
  • Mid-roll ads that play during the content
  • Post-roll ads that play after the content ends
  • Host-read ads that the podcast host reads
  • Scripted ads that are pre-recorded and played during the content, i.e. a Spotify ad script are common.

Marketers can choose the type of ad placement that best suits their campaign goals and target audience. For example, pre-roll ads may be more effective for raising brand awareness, while mid-roll ads may be more effective for driving conversions.

Premium Audio Inventory

Premium Audio Inventory refers to the top-tier audio platforms where marketers can serve audio ads. These platforms have a large audience base, offering advertisers a significant opportunity to reach new consumers with their audio ads. Among these platforms, Spotify is one of the most popular music streaming services, with over 365 million monthly active users. Other platforms such as iHeart Media, Amazon Alexa ads, Pandora, Google Home, Audiology, and TuneIn also have millions of monthly active users, making them attractive to advertisers.

When considering which platform to use for their audio ads, marketers should consider the unique demographics and interests of each platform’s audience. For example, Spotify’s audience is predominantly young adults and millennials, making it an ideal platform for brands that target this demographic. On the other hand, Pandora has a more diverse audience, with a higher percentage of female listeners, making it an excellent platform for brands that target women.

Each platform has its unique strengths and weaknesses, and marketers should consider these factors when selecting which platform to use for their audio ads. For example, some platforms may have higher engagement rates than others, while some may offer more advanced targeting capabilities. Marketers should also consider their budget and the cost of advertising on each platform, such as audio ads Spotify or Amazon audio ads.

Overall, the premium audio inventory provides advertisers with a valuable opportunity to reach a large audience with their audio ads. By understanding the unique characteristics of each platform’s audience and considering their marketing goals and budget, marketers can create effective audio ad campaigns that drive results.

The Benefits of Audio Ads for Marketers

 

Audio ads offer a unique and effective way for brands to reach and engage with their target audience. There are several benefits of using programmatic audio ads that make them a valuable addition to a brand’s marketing strategy.

Firstly, audio ads can create an immersive and engaging experience for listeners. With programmatic audio, brands can target their ads to specific audiences and deliver them within relevant contexts, such as when someone is listening to music or a podcast. By delivering ads in a natural and non-intrusive way, brands can connect with their target audience in a way that feels more organic and engaging.

Another benefit of programmatic audio ads is their ability to increase brand awareness. Audio ads can be used to promote brand messaging and values, share product information, and create an emotional connection with the audience. By consistently delivering these messages through audio ads, brands can build a stronger relationship with their target audience, ultimately leading to increased brand loyalty and customer retention.

Programmatic audio ads are also cost-effective for brands to reach their target audience. Audio ads are targeted to specific audiences and demographics, making them a more efficient way to reach the right people than traditional broadcast radio ads. Additionally, programmatic audio ads can be optimized in real-time based on performance data, allowing brands to continually improve the effectiveness of their campaigns.

Finally, programmatic audio ads offer a high level of flexibility and creativity. Advertisers can use different audio formats like music, voiceovers, and sound effects to create engaging and memorable ads. Brands can also experiment with different audio ad placements, such as pre-roll, mid-roll, or post-roll, to find the optimal ad format that resonates with their target audience.

In conclusion, programmatic audio ads offer several benefits for marketers, including creating immersive and engaging experiences for listeners, increasing brand awareness, reaching specific target audiences more efficiently, optimizing campaigns in real time, and experimenting with different ad formats and placements. By incorporating programmatic audio into their marketing strategies, brands can drive meaningful connections with their audience and achieve their marketing goals.

Cross Channel Advertising

With the growth of programmatic advertising, consumers can be reached just about anywhere. They’re constantly watching videos on tablets, scrolling through their social media on cell phones, and searching the web on laptops. Users have even shifted from consuming traditional linear television to streaming OTT content on connected TV devices tracked by audience providers via the Internet. This is why today’s marketers need a programmatic cross channel strategy to reach consumers.

A good cross channel marketing definition, also known as cross channel retailing, is to effectively serve an advertising message to potential consumers through various channels to achieve the same end goal. That goal is to engage and convince consumers to purchase the advertisers product or service. This can be a struggle for an advertiser to accomplish, so many will actually partner with agencies to successfully do the work for them.

Consider these cross channel marketing facts: Over 90 percent of people use more than one device during a typical day. The average consumer is exposed to an advertiser’s product on several channels and devices before they convert. For example, a consumer may see a product ad on a connected TV screen and later be served a banner ad of the same brand on a news website that ultimately drives them to the advertisers’ site and converts them. Consumer behaviors are then tracked and analyzed to determine the best strategies for targeting their audiences.

How does a marketer take advantage of the opportunities in cross-channel advertising? It’s not enough to simply check off all the channels that fall under the cross channel definition and do some advertising on each. Advertisers will use their cross-channel marketing strategy to ensure all tactics are running as expected, i.e. frequency capping, audience profiles are correct and up-to-date, etc. This is where cross-device technologies come into play. They help to target strategies on any device and channel by sharing their Universal ID with advertisers and agencies.

What Are Marketing Platforms?

A marketing platform supports an advertiser in dealing with all today’s marketing channels. In the multi-channel world, an effective ad campaign might include display ads on web pages, video ads embedded in streaming content or targeted ads on social platforms.

Furthermore, most digital ads today are not sold directly from advertising media to marketers. Instead, they’re traded through programmatic advertising. Advertisers enter their requirements, such as ad frequency and audience demographics, into a Demand Side Platform (DSP) that manages to bid on Supply Side Platform (SSP) ad slots on the advertiser’s behalf. An AI routine programmatically fills the ad slots to be served to audiences, then collects the analytics behind how the user reacted or behaved.

Fortunately, an advertiser doesn’t have to approach this new world channel by channel. They can engage a cross channel marketing platform to handle cross channel integration for them. These marketing platforms use cross-channel advertising software to give marketers a presence in multiple channels and coordinate the effort across those channels.

Using a cross-channel platform, a marketer has a single point of entry to run ads on multiple channels. They can use programmatic advertising to place programmatic video and programmatic audio ads on streaming content. They can run display ads on social media and on third-party websites relevant to their industry. They can distribute ads via connected TV and customer devices such as tablets and phones.

Cross-channel marketing examples include presenting a mobile link back to the advertiser’s website, even if the customer previously visited that site on a different device. They include sending emails to potential customers who have expressed an online interest in a similar product. They include presenting the customer with targeted coupons or discounts on one device based on a search that was done on another device.

A cross-channel advertising platform not only provides tools and workflows to manage the ads. It’s also vital that cross-channel marketing tools include the delivery of metrics. What audience is being reached? Who is converting? What’s the return on ad spend?

Cross channel platforms are supported by cross-device technology. These are technologies that work on every type of device a customer uses. Cross-device targeting is more than just tracking cookies on a website; it targets customers across multiple devices by tracking the user’s Universal ID. It supports the development of a single cross-device profile for a potential customer. Perhaps most importantly, it links all the channels that move a customer toward a purchase decision, not just the last one they clicked before they bought.

Many companies claim to have their own cross-device technologies, but there are four that should be mentioned as the industry gold standard for cross-device technologies – LiveRamp, AdBrain, TapAd, and Oracle. LiveRamp provides middleware that moves data between advertising channels. AdBrain uses machine learning algorithms to connect the devices that a customer uses. TapAd’s cross-device advertising products recognize and tie together multiple devices used by the same person. Oracle uses tools like Crosswise to build an integrated view of customers across devices.

Cross Channel Report

When a customer buys a product, how do you know what convinced them to make the purchase? If they clicked through a search page ad to an advertiser’s site, that ad was an important factor. But was it the only one? Where else had they been looking at your product? An advertiser should know more than just which software displays advertisements. Advertising software companies supporting cross-channel marketing campaigns need to provide reliable reports on which channels contributed to the conversion and how much each channel contributed.

Online advertising software supports various attribution models that allocate credit for the conversion across channels. Any good cross-channel marketing solution provides funnel reports that look at the various funnels or channels a customer was active in before making the final purchase decision.

In multi-channel funnel reports, how are default conversions credited? Most commonly, the credit falls to the last click or last touch – that is, the last search or ad – that led the customer to the conversion. While that’s useful information, it doesn’t tell the whole story about the effectiveness of an ad campaign across channels.

Customized funnel reports can, with limitations, spread credit for a specific conversion across multiple channels. So, multi-channel funnel reports can credit conversions across which channels? All channels,  Display, connected TV/OTT, programmatic Video, programmatic audio, paid and organic search. They include all sorts of website referrals and ads that are part of custom campaigns. In multi-channel funnel reports, what channel would not be credited with a conversion? Historically, there’s been no way to assess the impact of linear TV commercials.

Omni Channel Marketing

As mentioned above, the terms cross channel marketing and multi-channel marketing are used interchangeably, However, omnichannel marketing is typically added to the mix.

A multi-channel strategy markets through multiple channels but doesn’t do anything to connect those channels. A multichannel marketing effort will reach the customer through multi-channel marketing platforms such as tablets, computers, phones, and in-store.

An advertiser may use multi-channel marketing automation that coordinates across multi-channel platforms. Multi-channel marketing automation can make it simpler to track the customer’s on-site activity or overall information, such as demographics and search history.

Cross-channel marketing vs multi-channel marketing allows a customer to complete a purchase across multiple channels by associating user activity across channels. A simple cross-channel example of an advertiser’s goal to drive in-store traffic. A customer sees an advertiser’s display ad on a new’s website on the computer, then visits that advertiser’s website on a mobile device later that day, and ends up in-store the next day. The advertising experience, online experience, and in-store experience are complementary.

We also often use cross channel marketing vs omnichannel when omnichannel marketing adds an element of the simultaneous experience. It takes into consideration that, these days, people are often doing two things at once. They’re watching TV, and at the same time, scrolling on their phones. They’re looking at a product in the store, and at the same time, checking out online reviews.

An omnichannel strategy not only provides information to customers when and where they want it, but it also shares across channels the information it captures about customers at each of those interface points. Omni channel marketing is when a store clerk can look at information relayed to the store from the customer’s online activities and use that information to make recommendations. When a website presents a personally customized view on a website based on previous purchases, that’s omni channel marketing.

Multi channel marketing recognizes that there are several channels for interacting with a customer, cross channel marketing shares information to tie those channels together, but omnichannel marketing goes a step further in providing a seamless cross-channel experience unique to that customer. These terms are used interchangeably because they all have the same idea and overall purpose.