How marketers use AI for better campaigns
37% of marketers say integrating AI into team processes is a top priority over the next year to improve their marketing performance. 66% even believe that AI-powered technology could accelerate their marketing growth by 10-50%.
These estimates aren’t far-fetched. Compound marketing driven by agentic AI can achieve 1% growth daily, but we must build that momentum step by step.
Teams are currently using AI to improve and accelerate activities like:
Predicting customer behavior (39%)
Content generation or ideation (38%)
Generating insights and recommendations (36%)
Personalizing content at scale (36%)
Optimizing campaign journeys (31%)
These uses complement team priorities, including accelerating response to shifting customer behavior (31%), using real-time data to adjust campaigns quickly (30%), and speeding up campaign execution (29%).
Each of these use cases is a valuable starting point for AI given its ability to monitor trends and analyze data instantaneously. AI creates highly accurate customer personas for campaigns, which improves the success of all outreach. Agentic AI, in particular, can quickly learn from its outreach to continually iterate its approach. This sparks a flywheel of ongoing improvement at a scale humans could never accomplish alone.
How marketers want to use AI
Some organizations are focused on just one or two AI use cases as they learn the technology. Others are using AI to support every step of their campaign development.
When evaluating priorities for their AI implementations, marketers see several areas as ripe for potential. Coincidentally, these areas also overlap with the current process bottlenecks they face:
66% want to use AI for data analysis and insights, which is a bottleneck for 53% of teams.
52% want to use AI for campaign development, a bottleneck for 47% of teams.
44% want to use AI for audience segmentation, a bottleneck for 40% of teams.
These three areas form a complete marketing cycle. AI will segment audiences, suggest the ideal campaign channel and message, and analyze campaign results to fuel improvements. But just because AI can complete entire cycles doesn’t mean it should do so without human oversight.