Made With Intent

What is Made With Intent?

Made With Intent is an agentic decision engine for ecommerce sites that uses real-time visitor behavior to determine which experiences to deliver and when. It operates through a single 7kb script added to any ecommerce site, modeling over 800 signals continuously without collecting personally identifiable information. The vendor claims the model works immediately upon installation and fine-tunes to specific site contexts within days.

What are the features of Made With Intent?

• Real-time intent prediction

  Continuously models over 800 behavioral signals to predict visitor intent between clicks and events, trained on more than 50 billion events.
• Agentic Campaigns (campaign builder)

  Allows users to select strategies based on timing, pages, or visit types, set a target metric like revenue per user, and apply experiences without development work.
• Autonomous optimization agent

  Delivers one-to-one personalized experience decisions in real time, including choosing not to act, and learns from outcomes to adjust continuously.
• Lightweight integration script

  Deploys via a single 7kb script with no extra cookies, which the vendor states has no impact on Core Web Vitals.
• A/B testing against holdback

  Tests experience variations against a baseline to measure incremental impact.

What are the use cases of Made With Intent?

• Preventing cart abandonment

  Intervenes before visitors abandon their baskets by detecting exit signals and delivering targeted experiences at pivotal moments.
• Conditional discounting

  Shows discounts only to visitors whose intent signals indicate they require them, aiming to preserve profit margin.
• Targeted sizing guidance

  Surfaces size guides to high-intent visitors to reduce product returns on targeted items.

How to use Made With Intent?

1. Add the script

   Install the provided script on the ecommerce site to begin streaming real-time intent data.
2. Launch campaigns

   Build Agentic Campaigns by selecting a strategy, defining a target metric, and adding new or existing site experiences.
3. Scale operations

   Expand usage with custom campaigns and integrations as the model fine-tunes to the site's specific context.