Using Made With Intent you can integrate with Google Cloud in order to enrich your analytics data at the end of the session through Session Summaries.
Made With Intent adds a missing layer to analysis: why users behaved the way they did. By layering intent context onto session-level data, 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 move towards intent-led insight - prioritising analysis, identifying meaningful friction, and focusing optimisation efforts where it matters.
Setting up the integration
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?
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.