This is because Google is integrating Display Ads into its AI-powered Demand Gen platform, signaling the demise of a traditional digital advertising model.
For nearly two decades now, the Google Display Network (GDN) has been the cornerstone of the internet as we know it. Traditionally, marketers have used its predictable system of targeting ad placement, bidding on their desired audience and using A/B tests to design creative content on news websites and blogs. This model has now shifted, and marketing departments will need to abandon their manual controls in favor of Google’s AI.
According to Google, this is a logical evolution of the current state and simply a tool by which advertisers can target visual platforms such as YouTube, Discover and Gmail via a single campaign.
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As traditional banner ads are now increasingly being overshadowed by the full-screen video advertisements featured on social media sites such as TikTok and Instagram, Google’s Demand Gen utilizes an automated system to build interest from potential customers prior to any search.
Demand Gen is unique in its approach when compared to the conventional GDN. Unlike the latter, where there was a need for choosing particular websites or tweaking audience targeting, the new tool demands business goals and sets of creative assets. Images, videos, and headlines are submitted by marketers, after which the AI algorithm will test them in different combinations and serve them as in-stream video, YouTube Shorts, or interactive Discover posts.
There should be shifts in the way creative development works because the Demand Gen needs a constant stream of format-agnostic content. The job of the creatives team will no longer be to design finished posts; their task is to develop the assets used for creating ads.
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The shift from trading granular information to automation
Google is banking on machine learning beating human intuition, essentially forcing its hand. By bringing Display under this AI-powered umbrella, there is little incentive for any teams to rely on a manual process anymore. Companies that do not go down the AI-first route will miss out on being visible on key pieces of real estate.
Traditional metrics such as CTR and CPC no longer matter. Determining how well an individual ad creative or placement is performing becomes a near-impossible task with AI that optimizes for conversion or brand lift across different channels simultaneously. More sophisticated analytics need to be developed to measure the impact on the bigger picture: customer acquisition cost, return on investment, and the entire purchase experience.
It needs more robust connections between advertising channels and the business intelligence of the companies in question. Without knowing what conversions happen in real time, the AI has nothing to work with.
For many companies, however, it highlights the gaps in their data architecture, where a multi-million-pound Demand Gen budget can rest solely on an API connection to a CRM or an e-commerce backend system designed for other purposes altogether.
Meta follows suit with its Advantage+ programs, which use artificial intelligence to drive automation in targeting, creation, and placement within its network. It’s clear that the industry is moving from renting ad spaces to hiring AI agents that chase potential customers.
