Agentic Infrastructure
Most personalization tools rely on segments, rules, or generalizations. Aampe changes that. Each user — whether there are hundreds or hundreds of millions — has an agent that adapts uniquely. To support this, Aampe provides tools for:- Creating and maintaining a large and varied content catalog.
- Labeling of content elements (offerings, value propositions, tone, etc.), so learning is built around content components, not individual messages.
- Optimizing over timing, channel, and content for each individual user.
A New Approach
Rather than building rigid campaigns, you assemble a curated, pre-approved library of content. You apply labels and define eligibility rules for both messages and users. Then agents select, personalize, and adapt. As a manager of these agents, you:- Monitor performance and replace or refine underperforming content.
- Adjust label priorities to align with shifting goals.
- Run experiments to improve your marketing and product strategy.
- Incorporate user insights from Aampe’s data into your internal reporting or ML models.