AI marketing attribution

See which ads actually create revenue

AI Marketing Attribution joins your ad platforms, CRM and Stripe into one model, then shows the channels, campaigns and creatives that turn spend into pipeline and closed-won revenue.

See how it works

Click-ID and UTM matching
Six attribution models
Stripe revenue sync
Warehouse exports

98.4%: Click-ID match rate across paid channels
6: Attribution models you can switch per report
42: Deals attributed in the demo workspace below
3.5x: Blended ROAS on the demo ad spend

The dashboard

Every channel, campaign and won deal in one model

This is the real workspace experience on seeded data. Switch the attribution model and watch the same revenue move between channels, then read the AI insight that explains the shift.

Revenue attributionDemo workspace · last 30 days

Ad platformssynced 2 min agoCRMsynced 4 min agoRevenuesynced 1 min agoOfflinesynced 12 min ago

Reading ad platform spendMatching click IDs to dealsJoining CRM stagesAttributing Stripe revenueScoring channels

Attributed revenue$274,000Data driven model

Blended ROAS3.49x$78k ad spend

Cost per won deal$1,86742 deals closed

Best returning channelPartner & referrals13.70x ROAS

Channel	Spend	Leads	Opps	Won	Attributed revenue	ROAS	Credit
Google AdsPaid search	$27k	412	96	11	$79k	2.90x	29%
LinkedIn AdsPaid social	$22k	288	84	10	$74k	3.44x	27%
Meta AdsPaid social	$14k	233	48	5	$22k	1.54x	8%
YouTube AdsVideo	$8.1k	141	26	3	$8.2k	1.01x	3%
Content & SEOOwned demand	$4.6k	356	72	8	$55k	11.91x	20%
Partner & referralsPartner	$2.6k	88	34	5	$36k	13.70x	13%

Google AdsPaid search

Impressions: 1,240,000
Clicks: 41,200
CTR: 3.32%
Cost per lead: $67
Cost per won deal: $2,491
Attributed revenue: $79,460

Google Ads earns 29% of attributed revenue under the data driven model, from 412 leads and 11 closed won deals.

Conversion journey

Impressions2,876,000ad platform impressions

Clicks97,020tracked clicks with a click ID or UTM

Sessions91,300landing sessions after bot filtering

Leads1,518form fills and demo requests

Opportunities360qualified deals created in the CRM

Closed won42subscriptions collected through Stripe

AI insight · Data driven

LinkedIn Ads is under-credited by 5 points under last touch. Moving $4,200 a month from Meta Ads to LinkedIn is the highest confidence lift in this workspace, worth roughly $310,000 of pipeline a year.

Capabilities

Attribution built for revenue teams

Matching, modeling, reporting and governance in one place, so the number you bring to finance survives the audit.

Unified spend and revenue

Ad platform spend, CRM pipeline and Stripe revenue land in one model, so ROAS is measured against money you actually collected.

Six attribution models

First touch, last touch, linear, time decay, position based and a data driven model, switchable on any report.

Click-ID and UTM matching

Match clicks to deals with gclid, fbclid, li_fat_id, msclkid, UTMs and hashed email fallbacks, with a visible match rate report.

Built for long B2B cycles

Deals that take 90 days and four touchpoints stop disappearing, because credit follows the whole journey instead of the last session.

AI insight on every report

The model flags channels that are over or under credited and estimates the pipeline effect of a budget move before you make it.

Campaign and creative level

Drop from channel to campaign, ad set and creative to see which message created pipeline, not just which one earned the click.

Warehouse ready exports

Push attributed revenue to BigQuery, Snowflake or Postgres, or export CSV and read it in the BI tool you already run.

Governance you can defend

Every number keeps its lineage: source row, model version, match key and timestamp, so finance can audit the report.

How it works

From ad click to collected revenue in four steps

Connect the sources you already use, let the matching layer do the hard part, and report on a model you can defend.

01
Connect your sources
Authorize your ad accounts, CRM and Stripe. Historical spend and closed deals backfill automatically.
02
Match clicks to deals
Deterministic IDs first, then modeled matches for the gaps, with a match rate report you can inspect per channel.
03
Choose the model you report on
Start with data driven, compare it against last touch, and lock the model finance will see.
04
Reallocate with evidence
See the pipeline effect of a budget shift, publish the report, and track the change week over week.

What gets matched

gclidGoogle Ads click ID
fbclidMeta click ID
li_fat_idLinkedIn click ID
msclkidMicrosoft Ads click ID
utm_*Campaign, source and content
form fillsEmail and company on signup

Deterministic matches first. Everything else is modeled, labelled, and visible in the match rate report per channel.

Attribution models

Six models, one dataset, no arguments you cannot settle

Legal, finance and growth rarely agree on credit. Keep every model in the same workspace and show exactly where they disagree.

First touch

100% of credit to the first tracked touch

Best forFinding the campaigns that create demand

Watch outIgnores everything that happened after the first click

Last touch

100% of credit to the closing session

Best forComparing bottom of funnel efficiency

Watch outOver-credits branded search and retargeting

Linear

Split evenly across every touch

Best forChannel level budget planning

Watch outHides the campaigns that only appear once

Time decay

Weighted toward the most recent touches

Best forShort cycles under 60 days

Watch outUnder-reports long enterprise journeys

Position based

40% first touch, 40% last touch, 20% middle

Best forBalancing demand creation and capture

Watch outThe middle of the funnel stays invisible

Data driven

AI credit learned from win and loss patterns

Best forDeciding where the next dollar goes

Watch outNeeds deal volume and clean CRM stages to be stable

Credit is recomputed per model on the same matched dataset, so switching models never means rebuilding your reporting.

Use cases

Built for teams with a long path to revenue

If a deal takes weeks and several people to close, last click reporting will keep pointing the budget at the wrong channel.

B2B SaaS with demo cycles

When a deal takes six weeks and four touchpoints, last touch sends the budget to the wrong place.

Attribution follows every touch, so the campaign that started the deal keeps its credit at close.

Product led growth

Self serve signups hide the campaigns that created them, and expansion revenue never reaches the ad report.

Signups, upgrades and expansion land against the original source, with Stripe revenue as the value.

Agencies and consultancies

Clients ask for pipeline and closed revenue, and click reports do not answer the question.

Report per client, per channel and per campaign on revenue, with credit rules you can explain.

E-commerce and hybrid

Paid spend, repeat purchases and subscriptions live in three different tools.

One model ties paid spend to collected revenue, including repeat orders and subscription renewals.

Integrations

Plugs into the stack you already run

Ad platforms, CRM, billing and warehouse. Authorize once and historical spend and deals backfill automatically.

Google Ads
Meta Ads
LinkedIn Ads
YouTube Ads
Microsoft Ads
HubSpot
Salesforce
Stripe
Shopify
GA4
Segment
BigQuery
Snowflake
Postgres

Pricing

Plans that scale with the revenue you attribute

Both plans run the same matching engine and every attribution model. Pro covers one workspace; Scale adds warehouse sync, custom models and multi workspace reporting.

Pro

$49per month

For teams running their first attribution model on real revenue.

Choose Pro

1,000,000 attributed events per month
All six attribution models
Ad platform and CRM connectors
Stripe and subscription revenue
Weekly AI insight report
Email support

Scale

$199per month

For teams reporting attributed revenue to the board.

Choose Scale

10,000,000 attributed events per month
Campaign and creative level credit
Warehouse sync and CSV exports
Custom models and credit rules
Multi workspace and agency reporting
Priority support and onboarding

Annual billing saves 17%. Plans renew automatically and can be cancelled from your billing settings at any time.

Questions

AI Marketing Attribution FAQ

Short answers on matching, models, data, and how attribution here differs from the numbers inside your ad platforms.

What is AI marketing attribution?

It is the practice of connecting every ad click to the pipeline and revenue it produced, then letting a model decide how much credit each touch earns. AI Marketing Attribution runs that matching and modeling for you, so you see which campaigns create ARR instead of which one earned the last click.

How is this different from the attribution inside ad platforms?

Platform reports only see their own clicks and they stop at the conversion event. This workspace joins ad platforms, your CRM and Stripe, so credit follows the deal all the way to collected revenue, including deals that take months to close.

Do I need a data warehouse to start?

No. Connect your ad accounts, CRM and Stripe inside the product and historical spend and closed deals backfill automatically. Warehouse sync is available on Scale when you want attributed revenue next to the rest of your data.

How do you match a click to a closed deal?

Deterministic identifiers first: gclid, fbclid, li_fat_id, msclkid, UTMs and value tracked form fills. When a click ID is missing the model falls back to session, device and hashed email matching, and every match is labelled with how it was made.

Which attribution model should I report on?

Most B2B SaaS teams start with the data driven model for budget decisions and keep last touch as a comparison, because finance already recognises last touch reports. Every model is one click away in the same report, so you can see exactly where they disagree.

How long before the numbers are trustworthy?

Match rate is visible from day one. Most workspaces reach a stable picture after two to three weeks of CRM and Stripe history, which is why historical data backfills on connect.

How does billing work?

Plans are billed through Stripe, monthly or annually, and you can cancel from your billing settings at any time. Annual billing saves 17%.

Can I look around before paying?

Sign in with Google to open the demo workspace and use the full dashboard on seeded channel, campaign and revenue data. Subscribing unlocks your own connected accounts.

Stop guessing which campaigns earn revenue

Sign in with Google, choose a plan and open the dashboard on a seeded workspace with real channel, campaign and revenue data.

Compare plans

1M attributed eventsSix modelsWarehouse exportsCancel anytime