Advertisers are laser-focused on the seismic shift happening next year with the deprecation of third-party cookies on Google Chrome. But it’s not just cookies on Chrome – Google’s Sandbox initiative is also targeting mobile signals on Android.
There are over one billion connected TVs globally, with US advertisers expected to spend nearly $27 billion on Connected TV (CTV) in 2023 alone. And as the rise of CTV disrupts the industry, it’s generating new marketing opportunities for advertisers.
Third-party cookies, once widely used by marketers to track consumers online and target and measure digital ad campaigns, have fallen out of favor with international regulators keen to protect consumer privacy. Since Google originally announced its intention to phase out the use of third-party cookies on its market-leading Chrome browser, the ad tech industry has been developing ways to ensure that marketers and publishers can continue to deliver effective and measurable advertising, while respecting user choice and rights through consent.
There is no shortchanging the complexity of today’s media industry or the impact that the ever-expanding range of choice has on effective cross-media measurement. That complexity, however, doesn’t grant marketers any leeway when it comes to delivering on business objectives. In reality, increased complexity amplifies accountability.
The last few years saw the app giants take over the mobile app ecosystem, wielding brute strength to overwhelm the smaller publishers whose innovation and risk-taking historically drove things forward. But generative AI is leveling the playing field, giving small and midsize app developers the ability to create new apps and innovate on existing platforms dramatically faster with substantially fewer resources.
Having time to prepare for major changes is generally regarded as a good thing, both in life and the digital advertising industry. But when it comes to preparations for a privacy-first, post-cookie world, there’s been far too much talk about preparation and far too little action. This is hurting advertisers’ results today, not just in some theoretical future.
When you lose something important, you want to get it back. That’s the human instinct driving the conversation around signal loss. Marketers rightly feel an urgency to get back to a higher level of confidence targeting, attribution and measurement – particularly with broader economic pressures squeezing budgets.
If you scan the ad tech headlines, you’d assume artificial intelligence (AI) offers the solution to every challenge facing today’s brands and agencies. Even if marketers understand how the hype machine works, many are still willing to buy into the smoke and mirrors, especially when it comes to the power of AI to cure what ails them (e.g., the deprecation of third-party cookies and the loss of other previously relied-upon industry identifiers).
AI went from quirky novelty to dominant disruptor in a matter of months, taking over the headlines, as consumer-friendly and business-centric AI applications continue emerging in every sector. AI’s role in digital advertising is much more established, but rapid advances increasingly deliver unexpected and transformative capabilities for digital marketers.
Here’s how you succeed in ad tech: Analyze more data in more complex ways and turn that into differentiated products.
Ad tech players know it’s not that simple. Until recently, this path required obscure detours through data summarization and sprawling tech specialization.
