Using Made With Intent you can integrate with Salesforce in order to enrich your customer profiles with Made With Intent data points at the end of a session, using a Session Summary. This allows teams to move beyond reactive, behaviour-only messaging and instead understand what customers were trying to achieve, how close they were to conversion, and how best to respond.
The integration supports both activation (powering more relevant lifecycle campaigns) and analysis (giving deeper insight into why users behave the way they do)
Common examples include:
Basket or Browse abandonment
Use our Intent data points in order to move away from generic campaigns and design more tailored communications based on where a visitor is in their journey. For example;
Do I need to discount in my campaign?
Should I adjust the level of discount depending on the intent?
Would other content be more relevant?
Do I need to do anything at all?
More informed segmentation
Differentiate customers who look similar behaviourally but have very different intent signals
Post-session analysis and reporting
Analyse journeys based on how intent changes over time, helping teams understand where customers stall, progress, or drop off — and why.
In practice, intent acts as a decision layer on top of Salesforce: helping teams prioritise customers, choose appropriate responses, and evaluate performance based on context, not just outcomes.
Setting up the integration
Enriching Customer Profiles - Post Session
Enriching Customer Profiles - 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
This makes it easier to:
Segment users after the session ends
Power follow-up communications with intent context
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.