See the whole journey
Paapi stitches together every touchpoint to the same person, across sessions, devices and channels, whether they convert on your site, in your app, or through your sales team.
Web, app and offline touchpoints in one path
Anonymous users stitched to known profiles
CRM outcomes connected back to the ad
Conversions tied back to the outcomes that matter
Measure what actually contributed
Attribution shows which touchpoints assisted a conversion. Incrementality tests how much of the result marketing actually caused. MMM uses that evidence to model where additional spend will return most.
Conversions de-duplicated across platforms
Attribution adjusted by tested causal multipliers
Configured to your business, not a fixed template
Underlying data stays visible and exportable
Decide where the budget goes
Set a budget and a target, then see where spend should move to maximise the outcome. Compare scenarios before you make the change, rather than after.
Recommended spend by channel vs your current mix
Expected conversions, CPA and revenue per scenario
Diminishing return curves show where a channel stops paying back
Which campaigns to spend more or less on, day to day
Understand intent. Target more efficiently
Know how likely a user is to convert and how valuable they'll be, then activate audiences and conversion signals to acquire more of your best customers.
Target users showing intent
Stop wasting spend on users unlikely to convert
Re-engage lapsed users through longer journeys
Feed better signals back to the ad platforms
Why Teams Choose Paapi
Three things that make Paapi different from the measurement tools you've already tried.
Paapi adapts to the conversion journey, the data and the outcomes that matter to you, rather than forcing you into a standard setup.
Attribution, MMM and incrementality share one connected data foundation, so the methods inform each other instead of arriving as separate reports.
Move budget, change campaign spend, activate audiences and send better signals back to the platforms, all from the same measurement layer.
MEDIA MIX MODELLING
Where should budget go, and how much headroom is left?
Looks forward, allocating spend against your business goals and showing where returns start to flatten.
INCREMENTALITY TESTING
How much impact is truly incremental?
Holds spend back from a matched group and measures what changes, so you know what it creates rather than what it claims.
MULTI-TOUCH ATTRIBUTION
Which campaigns deserve more or less spend?
Right-sized by the causal multipliers the tests and models produce, so it guides spend across campaigns and channels.
What it takes to get started
No six-month science project, and no waiting for data to accumulate before you see anything.
One tag on your site, plus your app SDK if you have one. Our team handles the setup with yours.
Spend history comes straight from your ad platforms, so the first models are built on what you've already spent.
We map your events, conversions and values, then set the measurement up around the decisions your team makes.