Data bottlenecks are a huge problem for marketers. 61% of teams say it’s the main reason their campaigns fail to scale, and 62% have had campaigns launch late because of siloed data.
Here’s the thing: This isn’t just an efficiency problem, it’s a cost problem. The whole point is to bring in new customers, and the data shows a clear path to doing that better.
That’s why 86% of brands using predictive AI for recommendations report significantly lower customer acquisition costs. They’re using the right data to connect with the right people, without the delays.
Scroll down for more insights from the survey.
Download the full report for even more data and recommendations.
