Attribution
Credit every touchpoint that actually moved the sale.
Attribute conversions against your own transaction data using the touchpoints, model, and lookback window your team chose — not a single ad platform grading its own homework.
The problem
Platform-reported attribution disagrees with itself
Meta counts the conversion. Google counts the same conversion. Neither number matches the revenue in your own business systems, because each platform applies its own attribution window to its own definition of a touchpoint.
Vendo attributes conversions once, against your transaction data, using identity rules and a model your team can see and explain — then reuses that same definition everywhere it shows up, from reports to conversion signals.
Six models, one query
Compare models instead of committing to one.
All six run together, so switching the model your reports and conversion signals use is a setting, not a rebuild.
First-click
All credit to the first touchpoint in the journey.
Last-click
All credit to the last touchpoint before conversion.
Linear
Credit split evenly across every touchpoint.
U-shaped
More credit to the first and last touchpoints.
Time-decay
More credit to touchpoints closer to the conversion.
Participation
Credit to every touchpoint that occurred in the journey.
Beyond the last click
Attribution that runs in production, not a spreadsheet.
Identity resolution, spend, scheduling, and customization — covered by the same platform that prepares the rest of your marketing data.
Runs on your identity graph
Include email, push, SMS, and in-app touchpoints — not only ad clicks — because attribution links back to the same identity rules as the rest of Vendo.
Six models, no rebuild
Switch between first-click, last-click, linear, U-shaped, time-decay, and participation without re-pointing your pipeline.
Spend next to results
Ad spend from your connected platforms sits beside attributed revenue by channel and campaign, so cost and credited outcome are in the same view.
Runs on a schedule
Attribution runs as a step in your pipeline — after source import, before conversion export — not a one-off analysis someone reruns by hand.
Beyond the next conversion
Start from a lifetime-value template.
Attribution explains the next conversion. Lifetime value explains whether that customer was worth acquiring. Start from a shipped model template, then customize it with the Agent or in Data Studio.
See how the Agent helps with modelsCohort LTV
Cohort-based lifetime-value template grouping customers by signup period or first purchase.
Predictive LTV
Regression-based template for projecting customer value forward from early behavior.
Customize with the Agent
Adjust a template’s inputs or write a new model in Data Studio when the starting point doesn’t match your business.
Where attribution shows up.
The same attribution definition reaches paid-media measurement and cross-channel reporting — not a separate number in each tool.
Paid marketing measurement
Compare channels against real revenue, then feed confirmed conversions back to your ad platforms.
Explore the paid ads use caseCross-channel reporting
Put spend, attributed revenue, and cohort value in one report instead of one spreadsheet per platform.
Explore analytics & BIFAQ