Attribution Audit

Find Out How Much of Your Reported ROAS Is Actually Defensible

Share your current marketing measurement stack. DriveMetaData will help identify duplicate campaign credit, CRM revenue mismatches, SKAN gaps, fraud noise, and reporting blind spots that inflate or hide true campaign performance.

Built for growth, finance, and data teams that need one trusted view of campaign revenue.

Duplicate claim detection
CRM revenue reconciliation
Fraud-adjusted ROAS review
Warehouse export readiness
app.drivemetadata.com / measurement/roas-confidence-audit
Attribution Audit Report
Verified ROAS review
74% defensible
Duplicate claims
High
Meta + Google overlap
CRM match
68%
revenue source gap
Fraud risk
11%
invalid traffic exposed
Signals reviewed
MetaGoogle AdsTikTokMMPGA4CRMShopifySnowflake
Top audit outputs
Revenue mismatch by source
Duplicate claim exposure
Tracking health checklist
Why request an audit

Conflicting ROAS reports are a stack problem

Ad platforms over-claim, CRM revenue sits elsewhere, privacy signals arrive late, and finance sees a different number.

Mobile audit bridge
Before audit
Platform ROAS does not match CRM revenue.
Paid channels claim the same customers.
Finance asks for proof marketing cannot quickly provide.
Audit review
After audit
Duplicate credit is visible.
Revenue mismatches are mapped.
Teams know what to fix first.
Request audit
Audit scope

Review the Signals Behind Revenue

We check paid media, app, web, CRM, commerce, subscription, and warehouse signals for attribution gaps.

Swipe audit signals

Platform Claim Overlap

Find where channels claim the same conversions or revenue.

Output: Channel overlap map

CRM and Revenue Match

Check attribution against CRM, commerce, refunds, and offline revenue.

Output: Revenue mismatch map

Fraud and Traffic Quality

Review invalid clicks, suspicious installs, duplicate events, and weak signals.

Output: Fraud-adjusted ROAS risk

Privacy and SKAN Gaps

Identify delayed, modeled, missing, or low-confidence privacy-era signals.

Output: Measurement confidence score

Event Delivery and Server-Side Tracking

Inspect delayed, dropped, duplicated, or unreconciled app/web/server events.

Output: Tracking health checklist

Warehouse and BI Readiness

Check whether raw rows, policies, scores, and revenue objects can export cleanly.

Output: Export schema recommendations
Request audit
ROAS Truth Lab

From Noisy ROAS Reports to a Finance-Ready Fix Plan

The audit becomes a working board for leadership: inspect the evidence, mark every number as trusted or disputed, and leave with a clear fix order for revenue measurement.

Mobile ROAS truth lab
74%
Verified ROAS
Duplicate risk
High
CRM match
68%
Event health
Review
Fix order
3 moves
Challenge reported ROAS before scaling spend.

Request Attribution Audit
Best fit

Who this audit is for

A quick fit check for teams spending real money but still debating which campaigns created revenue.

Audit fit check
CMO / Growth Head

Need revenue numbers finance trusts.

Know whether ROAS is clean enough to scale.
Performance Marketing / UA

Channels claim the same conversions.

Find overstated platform contribution.
Data / BI Team

Attribution rows and schemas are unclear.

See what to collect, export, or reconcile.
Founder / Operator

Paid growth is scaling ahead of trust.

Check whether measurement can support more spend.
Request audit

No production data access required.

Audit intake

Request Your Attribution Audit

Tell us where your revenue reporting breaks today. We will use this to prepare a focused review of your measurement stack.

No production data access required for the first review.

We can start from your tool list, reports, sample exports, screenshots, and discovery context.

Only four required fields

Start with the basics. Add stack details only if you have them handy.

Quick intake

No production data access is required for the first review.

Audit process

From reports to fix plan

A focused review turns your stack context into a practical measurement plan.

Mobile fix-plan timeline
01

Share Your Stack

5 minutes

Tell us your channels, attribution tools, CRM, revenue systems, warehouse, and biggest reporting issue.

02

Map the Measurement Gaps

30 minutes

We review where platform claims, first-party events, revenue systems, privacy signals, and fraud quality may disagree.

03

Build Your Verified ROAS Snapshot

2-3 business days

We identify duplicate claim risk, revenue mismatch points, signal quality issues, and reporting gaps.

04

Review the Fix Plan

45 minutes

You receive prioritized recommendations for creating finance-ready campaign attribution.

Enterprise-ready review

Designed for Teams That Treat Marketing Data as Business-Critical

The first audit does not require production data access. DriveMetaData can start from tool lists, reports, sample exports, screenshots, and discovery context.

No production data access required for the first audit.
Works with screenshots, sample exports, reports, and tool lists.
Supports first-party data ownership and warehouse export strategy.
Can review SDK, API, server-side, CRM, and BI architecture.
Supports SSO, RBAC, audit logs, data processing terms, and privacy-aligned data handling.
FAQ

Attribution Audit Questions

Answers for growth, finance, and data teams before they request a measurement review.

Know Which Campaigns Deserve More Budget

Request an attribution audit and see where your current measurement stack may be overstating, understating, or misassigning campaign revenue.

For growth, finance, and data teams that need campaign revenue they can defend.