How Made With Intent works
It all starts with listening
to shopper signals in real time
Our intent model turns behaviour into meaning
Unlike conventional models that analyse static snapshots, or are just bespoke to your site, our LEM (large event model) excels at recognising evolving patterns of intent across a journey in real-time, so you can respond to the moments that matter.
Two layers working in tandem for rapid time-to-value
Return predictions as visitors shop
Really, real time
So you can respond while it still matters
Shopper behaviour can change any second. Our model sees these changes, updates predictions and allows you to act, immediately.

This matters as intent shifts between clicks and within single pages. To respond at the most impactful moments, you need continual updates, not just page loads.
Gives teams two ways to launch campaigns in platform

Just define the experience and goal. Our agents will identify and continually validate the optimal delivery.

Take full control from insight to delivery. Build segments, dynamic experiences and sequenced journeys yourself.
Reports on the impact and the learning
Made With Intent uses a segment-first experimentation model, combined with Bayesian statistics, to help you understand whether an experience genuinely changed the behaviour of a segment, as well as the global impact.
When using Agentic Campaigns, agent reporting shows how performance is evolving and which audiences are emerging. You also can see learning phase, probability to beat control, projected impact and how decisions change over time.



Unlocks intent data
in the tools you use
