Digital advertising is constantly evolving and transforming, but the phasing out of third-party cookies represents a key turning point in its history. We are entering a new chapter of connecting with audiences, where activities will be based on the use of first-party data that companies obtain directly from their audiences on their websites or mobile apps. This marks the beginning of a new era in the buying of advertising space in digital media, which will require a deeper understanding and effective use of this valuable information for more targeted and personalised advertising.

In a digital advertising world dominated by fast turnaround and flexibility, it is often difficult to advocate for continuous investment in digital advertising. However, analytical data contradicts this notion. Brands that continue to invest at the top of the sales funnel over several months achieve better performance and ROI compared to those that stop after just three months.

In the digital advertising ecosystem, effective targeting is crucial for the success of campaigns. The shift to first-party data and advanced AI technologies has revolutionised digital media buying. One of the highlighted approaches is lookalike modelling, or modelling based on shared characteristics using AI. This approach allows brands to target their advertising campaigns more precisely to the right audiences with a much higher likelihood of liking a brand. In this blog post, I will explain how digital media buying is done using first-party data and lookalike modelling using AI and show a practical example.

In the world of digital advertising, data has emerged as a key tool for customer acquisition and retention. Now, more than ever, businesses need reliable and accurate data to adapt and optimise their marketing strategies. Digitally aware companies are already crafting advanced advertising strategies that successfully activate their own first-party data to reach their target audience more effectively.