Advertisers in the U.S. are missing out on 46% of their addressable mobile audience. And desktop doesn’t fall behind. 40% of the audience is currently not reachable if you rely on IDs. Instead of opting for solutions that only get you halfway to your goals, keep three main points in mind: scale, accurate targeting and sustainability, writes Aaron McKee, CTO at Blis.
Many brands, startups and well-known CPGs are missing the more effective retailer data sets at their disposal: loyalty programs, writes Lauren Littlejohn, director of data science and research at 84.51°.
To make the most of AI, advertisers must diversify data analytics teams to bring varied perspectives and talents to data collection and decision-making, writes Ashley Tsai, head of analytics at mSix&Partners.
Marketers today have many data sources available to them, giving them the option to tailor data sets based on their specific needs. Whether it’s for audience segmentation or business operations, it can be tempting to buy the biggest data set available. However, it’s important that marketers think twice before diving in, especially when it comes to location data, writes Jeff White, CEO of Gravy Analytics.
It’s no secret that, even in a perfect world, the “rules” of marketing are constantly changing. A recession is only going to exacerbate the inconsistency tenfold. You’ll do yourself a favor if you understand now that there is no blanket strategy, writes Tom Shea, co-founder and CRO of Adgile Media Group.
The release of Google’s Imagen tool has certainly made news feeds more entertaining in recent months. Who doesn’t want to see pictures of a raccoon dressed as an astronaut or a corgi cycling through Times Square? But while Google’s new text-to-image generator is a really interesting development that illustrates the potential of AI, this type of technology can’t replace human creatives in the advertising industry, writes Graham Wilkinson, chief innovation officer at Kinesso and Matterkind Global.
Looks like Apple wants to launch a DSP. With Google’s recent (and second) third-party cookie delay, maybe it’s going to take a company like Apple, with a track record of technical innovation, to develop the next privacy-centered targeting solutions for digital advertising, writes Nico Neumann.
A YouGov study found that people are more likely to sign up for an online platform if they can see how their information will be used. This presents a trust opportunity for marketers, writes Lauren Wetzel, COO of InfoSum.
At this year’s WWDC, Apple announced updates to SKAdNetwork, its privacy-adjusted mobile measurement framework. For marketers, embracing, understanding and developing a robust strategy for SKAdNetwork is essential for user engagement and measurement on iOS. From there, the key will be maximizing the value of first-party data and designing long-term acquisition and measurement strategies – based on user consent for targeted advertising, writes Katie Madding, chief product officer at Adjust.
Google launched Google Analytics 4 (GA4) back in October 2020 to unify digital web and app analytics. Its push toward the new solution underscores the need for advertisers to implement a data strategy built on first-party data. But now the question is whether brands should prioritize the switch to GA4 before the sunsetting of Universal Analytics (UA) in July 2023 and what this transition means, writes Jessica Jacobs, global director of partnerships and growth at Incubeta.
