#1 Marketing attribution software

Save on ad spend with
marketing attribution

A marketing attribution software to track the source and journey of each lead, so you can identify what ads perform, and save big on ad spend.

Built by an agency owner

Marc-Antoine Thiriat

When I ran my agency, clients kept asking:
“Which campaigns actually drove revenue?”

I could tell them traffic numbers, lead counts…
But revenue? No clue.

So I built this marketing attribution software.

The result?
Ad spend optimized. Wasted budget cut 35%. Winners scaled

…WITHOUT Rev Ops, spreadsheet chaos, or an overpriced tool.

It’s your turn now!

– Marc-Antoine Thiriat

Scale your Ads with Marketing Attribution

Multi-Touch Attribution

See which touchpoints actually convert (not just assist)

Google Ads
Day 1
33%
Meta Ads
Day 5
33%
LinkedIn
Day 12
33%

Lead Converted

Added to CRM

Revenue $2,400
Google Ads $800
Meta Ads $800
LinkedIn $800

Page Journey Recorded

🏠
Homepage
Features
💰
Pricing
📧
Contact
Revenue Attribution $1,200 Total
🏠 /
$300
/features
$300
💰 /pricing
$300
📧 /contact
$300

Customer Journey Visualization

Map the complete path from first click to lead generation

Integrate with your tech stack

Integrates with all major CRMs and form builders (even custom forms)

Start attributing your revenue to the right ads

Frequently Asked Questions

How does this marketing attribution software work?

Install our tracking code on your website and connect your form with our native integrations. It captures every touchpoint of each visitor—from first ad click to final form submission—across multiple sessions.

This tool is for CMOs, performance marketers, marketing agencies, and growth teams who need to prove which campaigns drive actual revenue—not just traffic.

This tool is NOT for you if you’re just starting out with zero traffic or leads.

It’s NOT for you if vanity metrics like page views or social media likes are enough.

Absolutely. You can connect all your clients into a single account

Channel, source, UTM parameters (campaign, term, content), OS, device, browser, full page path, and multi-session journey across months.