Why choose Iris Intent?
Problem
You dont know which visitors are actually likely to convert
It’s difficult to prove the true value of agencies or campaigns
Attribution is unclear and campaign performance is hard to trust
Media budget is spread evenly with no prioritisation
Iris Intent
Scores every visitor in real-time using behavioural signals to predict purchase intent
Runs controlled testing and incrementality measurement automatically
Connects on-site behaviour to media and channel data to measure true incremental impact
Identifies persuadable segments and suppresses visitors who would convert anyway
The Outcome
Focus budget and effort on high-value visitors instead of wasting spend on everyone
Confident, evidence-based decisions backed by measurable uplift
Clear, faster visibility into what’s actually driving revenue uplift
Lower wasted spend and stronger ROAS
You paid for 100 visitors.
Your algorithm learned from two.
Most ecommerce sites convert somewhere around 2–3% of sessions. That conversion event is the only thing you send back to Google and Meta, so their bidding algorithms optimise on a sliver of your traffic. They learn nothing from everyone else.
The visitor who compared three products, read the delivery page and left at the basket looks exactly the same to your ad platform as someone who bounced in four seconds. One of them was nearly a customer. Iris knows the difference, and now your bidding does too.
Three questions every performance marketer should be able to answer
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How many of last month’s conversions would have happened without the ad? Retargeting and branded search are brilliant at taking credit for people who’d already decided.
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Why are you bidding the same for a browser and a buyer? If every click is worth the same to your algorithm, you’re overpaying for one and underbidding for the other.
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Could you prove your best campaign is incremental? Not attributed, incremental. Could you prove it to your CFO, with a control group?
Capture signals
We collect live behavioural signals from every visitor, from browsing patterns to micro-interactions creating a rich foundation of first-party intent data.
Score Intent
Our models analyse these signals in real time to predict purchase likelihood and identify which visitors matter most.
Activate
Use intent scores to prioritise targeting, personalise journeys, and trigger the right action at the right moment, automatically.
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Low Intent IQ Score
Information Gathering, Curiosity, Support
Visitors exhibit light, non-committal activity, short sessions, shallow page depth, limited product interaction, and low historical affinity. Conversion likelihood is minimal.
