Adobe Analytics Integration | Made With Intent Help Center

Using Made With Intent, you can integrate with Adobe Analytics to enrich your analytics data with real-time and post-session intent context.

Adobe Analytics shows you what users did across pages, events, and journeys. Made With Intent adds the missing layer: why they behaved that way. By layering intent data onto sessions and pageviews, teams can understand what visitors were trying to achieve, how close they were to conversion, and whether they were progressing, hesitating, or disengaging.

This helps teams prioritise analysis, identify meaningful friction, and focus optimisation efforts.

Setting up the integration

Enriching Data - In-Session

Once the MWI snippet is installed, intent-based events are pushed into the dataLayer. These events can be listened to by GTM or captured directly via JavaScript and forwarded to third-party platforms.

Listening for Inference Events via JavaScript

You can hook directly into MWI using a lightweight JavaScript snippet, and send these data points directly to third-party tools.

For more information, please see the developer support docs

Using GTM and the dataLayer

Once the MWI snippet is installed on your site, we start pushing intent-based events into the dataLayer. You can use GTM to listen for these and trigger other tools or workflows.

intent.gtm.inference: Triggered on each page view and click. Carries the latest real-time inference data.

Enriching Data - Post Session

Session Summaries condense the behavioural and intent signals of a visit into a single structured data event.

They provide a clear overview of:

What the visitor was trying to do
How close they were to conversion
Where they hesitated or disengaged

Allowing you to easily analyse customer journeys based on intent

What data points are included?

Typically the following data points are included in a Session Summary

🧭 Intent Composition & Engagement

Label	Description
total event count	Total number of tracked events
low intent summary	the total number of events in each intent stage
building intent summary	the total number of events in each intent stage
high intent summary	the total number of events in each intent stage
discovery summary	the total number of events in each shopper mindset (NB “not actively shopping”, not included)
consideration summary	the total number of events in each shopper mindset (NB “not actively shopping”, not included)

🎯 Purchase Indicators

Label	Description
included purchase	Flags if session included a transaction
purchase confidence	Latest value from the Intent Signal (very low → very high)
purchase confidence trend	Direction of change in purchase intent (negative (-1) neutral (0) or positive (1))
intent growth velocity	Speed and strength of movement of purchase confidence using a cumulative mean across the journey
return likelihood	Latest value from the Intent Signal (very low → very high)

🛍️ Session Attributes

Label	Description
intent stage	Final observed intent stage at session close
shopper mindset	Final mindset (discovery / consideration)

💎 Affinity Signals

Label	Description
sequenced affinity page category	Sequential list of page category affinities formed during the session
sequenced affinity product category	Sequential list of product category affinities formed during the session
sequenced affinity product price	Sequential list of product price affinities formed during the session
sequenced affinity product subcategory	Sequential list of product subcategories formed during the session
sequenced affinity product url	Sequential list of product URLs formed during the session
top affinity page category	Top page category that the user expressed an affinity with
top affinity subcategory	Top sub category that the user expressed an affinity with
top affinity product price	Top product price that the user expressed an affinity with
top affinity product URL	Top product URL that the user expressed an affinity with
top affinity attribute 1	Top customer affinity that the user expressed an affinity with
top affinity attribute 2	Top customer affinity that the user expressed an affinity with
top affinity attribute 3	Top customer affinity that the user expressed an affinity with
top affinity attribute 4	Top customer affinity that the user expressed an affinity with
top affinity attribute 5	Top customer affinity that the user expressed an affinity with
top affinity attribute 6	Top customer affinity that the user expressed an affinity with

The Made With Intent team will support you with this set-up.