Adludio Cookieless Strategy
Jan 18, 2024
  • Adludio offers hyper-contextual capability and our proprietary algorithms can identify and optimize the relationship between creative objects, game sequences and context to maximize campaign performance.
  • Adludio can run a 100% campaign portfolio using cookieless tech.
  • 25% of managed campaigns are currently being driven by our AI engine powered by historical data from ‘000s of campaigns (100% by Q2 '24)

  1. What will be the biggest challenge for companies' ad campaigns in a cookieless world?

Marketers, ad tech companies, media agencies, and all advertising companies have been highly using and beneficiated for so many years from consumer users' data to make marketing and business decisions, learning from past purchases, users' behaviors, interests, demographics, buying decisions, and all possible traceable information in the programmatic ecosystem. But now with third-party cookies coming to an end this year, companies will have to adopt cookieless targeting tactics to reach consumers online in a more meaningful and accurate way.

The main challenge for cookie-based advertising is the accuracy of consumers' behavioral and interest data and the scale/ size of the audiences. That's why now more than ever companies' ad campaigns have to include media-effective cookieless strategies like contextual targeting as the use of data to reach online consumers continues deprecating.

  1. What is Adludio’s approach to cookie deprecation?

At Adludio, we understand our client’s targeting concerns and the increasing industry demand for innovative targeting strategies. Our priority is to target audiences in a much more meaningful and accurate way by developing relevant and highly targeted creatives  - AI engine powered, which learn about user’s behavior and creative interaction. Adludio not only offers hyper-contextual capability, but our proprietary algorithms can identify and optimize the relationship between creative objects, game sequences and context to maximize campaign performance. 

With creative relevancy and AI algorithm learning, plus contextual targeting on the rise, Adludio’s approach to understanding digital environments is leveraging AI Creative Technology in combination with Contextual Targeting solutions to improve message relevancy which matches with the type of audience that seeks certain content. 

That’s why in Adludio it is so important to understand not only the digital environments across multiple verticals but also how users are engaging with different formats and the types of devices that they are using. This can give us valuable insights into consumer mindset and how they engage with certain content, instead of using behavioral data which heavily relies on past user patterns. Through the combination of contextual targeting, and AI-powered creatives we can discover more valuable insights and performance metrics like brand attention that leads to more meaningful outcomes.

  1. What is Contextual targeting? And how can brands optimize campaign performance in a cookieless world?

In Adludio, we can contextually target audiences via DSP internal categories and keywords without using 3rd party segments or any cookies-based audiences. Contextual categories are similar to keywords. We select categories related to content for a specific vertical to improve message relevancy which matches with the type of audience that seeks certain content. And performance is positive, contextual can give a good Engagement Rate and other brand attention metrics performance, which makes sense as we are targeting the right content and inventory.

Furthermore, we can run contextual advertising by partnering with cookieless data partners that build pre-qualified audiences and maximize scale. And we can enrich our information via an audience modeling extension with lookalikes based on category or first-party data segments. So we are not only reaching a qualified pool of segments but creating a model to expand our reach to prospects more likely to engage with our AI creative units. Using contextual partner data as a seed to create a hyper-relevant model that can add new dimensions of accuracy, relevance and reach to our lookalike strategy.

Other solutions for Performance campaigns

Adludio has also partnered with major DSP’s new product targeting solutions via open-source identity frameworks that maximize addressability and deliver more relevant advertising experiences across the open internet, preventing the use of outdated data and ID decryption.

  1.  How can companies maximize their ad spend post cookies?

This year Adludio has started incorporating advanced attention measurement, delivery and AI optimization into all display creative campaigns, so all our clients now will be able to move beyond basic performance metrics and understand the true impact and scale of all their advertising activity, but above all, the opportunity to maximize their ad spend in a post-cookies world.

Some of the benefits of using contextual advertising are:

  • It doesn't rely on third-party segments, which are every time less accurate, and limited in scale.
  • Contextual can be more targeting-specific. Instead of using a combination of behavioral segments, it can narrow to a more specific and pre-qualified context.
  • The targeted content is based on current interests. Contextual categories can reach users with relevant content that aligns with their current interests.
  • It can provide strong brand safety and suitability performance, as the ad messaging will be only placed within relevant content that is aligned with the brand safety requirements/ vertical.
  • Contextual can offer advertisers a new way to scale their campaigns and reach more audiences in a more meaningful way.

All this in combination with highly targeted creatives, AI engine powered, can guarantee hyper contextual campaigns that identify the relationship between creative, targeting and user interaction, leading to maximizing the campaign’s KPIs performance and advertiser's revenue results.