Know Which Campaigns Actually Create Revenue
DriveMetaData is revenue measurement and marketing attribution software that reconciles ad platform claims, first-party events, CRM revenue, SKAN signals, and fraud quality into one finance-ready attribution ledger.
Built for growth, finance, and data teams that need accurate attribution, fraud-adjusted ROAS, and revenue confidence from every campaign.
Every Platform Claims Credit. Finance Needs One Truth.
Ad dashboards are useful signals, not final revenue. DriveMetaData turns disputed claims into a finance-ready ledger before budget moves.
Every platform claims the same win
Meta, Google, TikTok, CRM, and SKAN reports disagree before finance can trust ROAS.
One ledger certifies campaign revenue
Duplicate claims, fraud, refunds, and late privacy signals resolve into a defensible revenue view.
Resolve Disputed Campaign Revenue Before It Hits Reports
Every claim becomes an auditable row with the source, identity match, policy rule, fraud decision, and verified revenue value.
Connect Conversion Events to the Revenue Finance Trusts
Bring web, app, server-side, CRM, commerce, subscription, and offline signals into one revenue trail.
Where Measurement Fits in DriveMetaData
Measurement is the intelligence layer between trusted customer data and activation. It turns first-party events, identity, fraud quality, and revenue systems into attribution decisions teams can act on.
Data Foundation
Customer profiles, identity resolution, consent-aware collection, server events, CRM revenue, commerce orders, and warehouse-ready pipelines.
Intelligence Layer
Measurement sits here: attribution policy, duplicate claim resolution, fraud quality, SKAN confidence, analytics, and campaign intelligence.
Activation Layer
Verified audiences, journey decisions, retention workflows, suppression lists, and budget recommendations move back into growth channels.
Show Exactly How Attribution Is Decided
The decision path stays visible from raw claim to certified campaign revenue.
Every decision keeps the source claim, matched identity, attribution rule, fraud reason, revenue object, export version, and timestamp attached.
Collect platform claims, server events, app and web conversions, CRM updates, refunds, and offline revenue.
Resolve users, devices, accounts, and anonymous paths with consent-aware first-party confidence.
Apply windows, channel precedence, campaign hierarchy, SKAN rules, and CRM revenue priority.
Remove bots, invalid clicks, duplicate claims, refunds, and suspicious conversions before ROAS is published.
See how much of your reported ROAS is defensible.
Bring your ad platform claims, CRM revenue, fraud signals, and current reporting stack into a focused measurement audit.
See One Attribution Decision From Claim to Certified Revenue
A buyer should not have to trust a black-box ROAS number. Show the disputed claim, the decision rule, and the final revenue row.
Two channels. One customer cohort. One revenue owner.
Turn Reconciled Measurement Into Budget Moves
Recommendations stay tied to the measured evidence: overlap, confidence, clean revenue, and expected impact.
Meta and Google claim the same CRM cohort.
SKAN arrives late and consent coverage is partial.
Clean campaigns beat claimed ROAS after fraud.
Protect Revenue Attribution From Privacy Gaps and Fraud Noise
Signal quality travels with every report, export, alert, and budget recommendation.
SKAN, consent, and modeled revenue are labeled with confidence.
Invalid clicks, bots, and suspicious installs are removed before ROAS.
CRM, commerce, refunds, and offline sales travel with the final row.
Each row carries the privacy model, fraud decision, revenue match, and confidence score.
Measurement Infrastructure Built for Enterprise Review
Data teams can inspect delivery, replay events, audit decisions, and export the raw rows behind every campaign metric.
Connect the Systems That Argue About Revenue
Group ad platforms, MMPs, revenue systems, warehouses, and BI tools into the same attribution decision model.
Enterprise-Grade Foundation for Revenue Measurement
Give marketing, finance, and data teams enough governance detail to trust the attribution ledger before it changes budget decisions.
Source mapping, SDK/API/server-side events, CRM and warehouse validation, attribution policy setup, then finance-ready reporting.
Each row keeps the evidence behind the final number, so teams can audit, replay, and explain every campaign metric.
Give Growth and Finance the Same Campaign Truth
Replace ROAS debates with one auditable view of campaign quality, conversion truth, and revenue confidence.
Measurement Questions Enterprise Buyers Ask
Answer the questions growth, finance, and data teams raise before trusting a new attribution source of truth.
Build Finance-Ready Campaign Attribution.
Bring platform claims, first-party conversions, CRM revenue, SKAN signals, and fraud quality into one attribution ledger your marketing, finance, and data teams can defend.