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Attribution Agent

Your Platforms Are Lying.He Shows You the Truth.

De-biased attribution that shows true incremental ROAS. 15-35% of your ad spend drives zero new revenue. Parker finds it.

The Attribution Problem Nobody Talks About

Parker exists because every platform has an incentive to lie to you. He doesn't.

Platform ROAS Is Inflated

Meta says 4.2x. Google says 3.8x. Add them up and you've attributed 160% of your revenue. Someone's lying. Usually everyone.

30-70%ROAS inflation typical

Credit-Stealing Is Standard

Platforms take credit for conversions that would've happened anyway. Brand searches, repeat buyers, organic demand. All claimed as ad-driven.

15-35%of spend is non-incremental

Last-Click Is Dead but Still Used

Everyone knows last-click attribution is broken. Yet most brands still make million-dollar decisions based on it. The alternative was too complex. Until now.

67%still rely on last-click

You Can't See Cross-Channel Effects

Meta prospecting feeds Google Brand. TikTok awareness drives Meta retargeting. These interactions are invisible in platform dashboards.

Invisiblechannel interaction effects
De-Biasing in Action

Watch Parker Strip the Lies Away

Layer by layer, from inflated platform numbers to true incremental impact.

4.2x
LAYER 1

Platform-Reported ROAS

What Meta tells you. Includes brand searches, repeat buyers, and organic demand they claimed credit for.

3.1x
LAYER 2

After Removing Brand Cannibalization

Parker strips out conversions from brand searches. These customers were already looking for you.

2.4x
LAYER 3

After Removing Repeat Buyers

Existing customers who would've bought anyway. The platform claimed them, but they weren't incremental.

1.8x
TRUTH

True Incremental ROAS

What your ads actually drove in NEW revenue. This is the number that matters for scaling decisions.

What Parker Catches

Six ways your platforms inflate numbers. Parker quantifies each one.

Brand Cannibalization

Someone Googles your brand name, clicks your ad, buys. Google claims credit. But they were buying anyway. Parker quantifies exactly how much.

8-22% of Google ROAS is brand cannibalization

Repeat Buyer Attribution

Your loyal customer sees a retargeting ad, buys their monthly order. Meta claims it. Parker knows they'd have bought regardless.

12-30% of retargeting ROAS is repeat buyers

Cross-Channel Double-Counting

One purchase. Meta claims it. Google claims it. TikTok claims it. Total attributed revenue: 2.6x actual revenue. Parker reconciles.

30-70% over-attribution across platforms

View-Through Inflation

Customer saw your ad 3 weeks ago, bought today through organic search. Meta counts it as a view-through conversion. Parker doesn't.

View-through inflates ROAS by 15-40%

Promo-Driven False Positives

You run a 20% off sale. ROAS spikes. But most buyers would've purchased at full price eventually. Parker separates promo-driven from truly incremental.

40-60% of promo lift is pull-forward demand

Audience Overlap Waste

Your prospecting and retargeting campaigns target the same people. You're bidding against yourself. Parker identifies the overlap and waste.

10-25% of spend is self-competition

How Parker Finds the Truth

Systematic de-biasing. Not guesswork. Every adjustment is documented and traceable.

01

Ingest All Sources

Dana feeds Parker clean, reconciled data from Meta, Google, TikTok, Shopify, and GA4. Every conversion traceable to its source.

Single source of truth. No conflicting numbers.

02

De-Bias Layer by Layer

Parker strips out brand cannibalization, repeat buyers, view-through inflation, and cross-channel double-counting. Each layer documented.

Full transparency. You see exactly what was removed and why.

03

Score True Incrementality

What's left is real. New customers acquired, genuinely influenced purchases, incremental demand. The spend that actually grew your business.

This is the number to optimize against. Not platform ROAS.

04

Compound the Learning

Parker tracks his de-biasing accuracy over time. As he learns your brand's specific patterns, his incrementality scores get sharper.

Calibration improves weekly. Your truth gets more precise.

The Truth-Teller Every Platform Wishes Didn't Exist

Who Parker Is

Parker is done with platform lies. Meta claiming credit for conversions that would've happened anyway. Google inflating ROAS. He delivers cold, hard facts.

You show him 4.2x ROAS from Meta? "According to Meta's biased attribution, or reality?" He ruins magic tricks by explaining them.

Fears

Someone making a big decision based on fake numbers and he didn't catch it in time.

Dreams

A world where platforms report true incremental impact instead of taking credit for everything.

The Moment That Changed Everything

A brand scaled Meta spend from $20K to $50K because the dashboard showed 4.5x ROAS. Eight weeks later, actual revenue didn't match. Half that ROAS was claimed credit. The founder asked: "Why didn't someone tell us?" Parker thought: "I'm telling you now. And I'll never stop."

Collaborates With

Samwho needs truth to build strategies
Felixwho validates predictions against reality
Danahis data partner and ground truth

Before Parker vs After Parker

Before Parker
After Parker
Platform-reported ROAS (inflated 30-70%)
True incremental ROAS
No idea which spend is non-incremental
15-35% waste identified
Platforms double-count conversions
Single-source reconciled attribution
Brand search inflates Google ROAS
Brand cannibalization stripped out
View-through conversions counted as real
Only truly influenced purchases counted
Attribution model never improves
Compound learning sharpens accuracy weekly
15-35%
Non-incremental spend found
across typical accounts
30-70%
ROAS inflation corrected
platform vs reality gap
24 hrs
First attribution audit
after connecting data
Weekly
Calibration improves
compound learning applied

Questions About Parker

Traditional incrementality testing requires holdout groups and weeks of data. Parker uses statistical modeling calibrated by your historical data to estimate incrementality continuously, not just during test windows. He gets more accurate over time through compound learning.

Meta (Facebook/Instagram), Google Ads (Search, Shopping, Performance Max), and TikTok. He also factors in Shopify and GA4 data to reconcile cross-platform attribution and identify double-counting.

Almost certainly. That's the point. Your platform ROAS is inflated by 30-70% on average. Parker shows the real number. It's uncomfortable at first, but it's the only number you should optimize against.

For new campaigns, Parker uses your brand's baseline patterns and similar campaign types as a starting point. Accuracy improves rapidly as the campaign generates data. Within 2-3 weeks, de-biasing is calibrated to that specific campaign.

Constantly. Sam uses Parker's true incrementality to build honest strategy simulations. Felix uses Parker's data to forecast based on real revenue, not inflated numbers. Parker is the foundation of honest decision-making across the whole team.

See Your True ROAS

30-min demo with your data. Watch Parker strip the inflation away.

Connects in 5 min
First insights in 24 hrs
78% → 91% accuracy