Stop Double-Counting Customers Across Platforms
DriveMetaData reconciles web, app, CTV, paid media, CRM, commerce, and offline events into one trusted measurement view, so growth, finance, and data teams can see which journeys actually create revenue.
The Journey, the Reconciliation, and the Proof
Three operating views show the path, the decision, and the evidence behind every exported attribution answer.
Customers Move Across Screens. Platforms Double-Count Them.
A single buyer can look like many users. DriveMetaData groups the signals, dedupes credit, and shows which claims are trusted.
Measure the Customer Journey, Not the Device
A mobile-first rail keeps the journey readable: signal, decision state, value, and why it matters.
Household signal stays visible after final credit is deduped.
Device and customer IDs are joined with consent state attached.
Revenue is matched before the platform claim is published.
Lifecycle value flows back to acquisition and assist reporting.
Delayed imports update the answer without losing lineage.
Collect, Stitch, Reconcile, Score, and Export
The architecture is simple enough to scan on mobile and specific enough for data teams to inspect on desktop.
Recommended inputs include customer_id, hashed email or phone, device ID, household ID, order ID, CRM account ID, consent state, and event timestamp. Missing identifiers are modeled and labeled instead of silently trusted.
Capture web, app, CTV, partner, CRM, commerce, and offline events.
Resolve first-party IDs, hashed identifiers, devices, households, and sessions.
Compare platform claims against one journey graph before credit is assigned.
Adjust decisions for identity quality, modeled signals, revenue truth, and fraud.
Send raw events, identity links, decisions, LTV cohorts, and revenue fields.
A Decision Map for Identity, Consent, Fraud, and Revenue
Every claim passes through the same visible gates before it becomes a winner, assist, reject, or finance-ready export.
same conversion no longer claimed by every platform
first-party and modeled links stay labeled
invalid traffic removed before budget moves
raw events, decisions, revenue, and audit lineage
Export the Proof Behind Every Attribution Decision
Raw rows stay readable: what happened, what won credit, why it won, and how fresh the proof is.
Streaming exports keep operational dashboards current, while batch backfills preserve late SKAN, CRM, refund, and offline sales corrections without overwriting prior audit history.
Privacy, Governance, and Auditability Built Into the Measurement Layer
Consent state, export history, retention, and security controls stay attached to each decision.
Turn Reconciled Signals Into Actionable Verified ROAS
Rank duplicate claims, weak identity, delayed revenue, suspicious sources, and safer budget moves.
Meta, Google, and CTV overlap is reducing retargeting confidence. Shift budget toward verified acquisition cohorts with higher first-party revenue match quality.
Protect LTV and Payback From Polluted Platform Signals
Separate clean ROAS from polluted ROAS before LTV, payback, and budget optimization update.
Real Cross-Platform Paths, Not Channel Checklists
Each path shows the source, the conversion handoff, and the decision that keeps credit clean.
Keep the assisted CTV contribution without letting it double-claim final revenue.
Connect anonymous web intent to the known app customer and cohort LTV.
Join purchase and refund truth before ROAS is sent to finance or BI.
Attribute offline and renewal revenue back to the full digital journey.
Separate paid acquisition credit from owned-channel conversion lift.
A Launch Path Teams Can Actually Follow
Implementation moves from capture to governance without hiding the decision layer inside another dashboard.
Turn Journey-Level Measurement Into Finance-Ready Decisions
The page ends with proof points buyers can scan quickly and hand to growth, finance, and data teams.
Build Journey-Level Measurement Truth.
See how DriveMetaData stitches identities, dedupes platform claims, verifies revenue, exports raw decisions, and protects cross-platform ROAS from fraud.