Campaign intelligence platform

Know Which Campaigns Create Real Revenue

DriveMetaData reconciles ad spend, platform attribution, creative performance, audience quality, fraud signals, and first-party revenue so growth teams can move budget with confidence.

Fraud-adjusted ROAS
First-party revenue reconciliation
Creative fatigue detection
Finance-ready campaign reporting
app.drivemetadata.com / campaigns/revenue-truth-command-center
Live command center
Conflict resolved into one approved budget move
$2.8M
spend reviewed
4.1x
verified ROAS
91%
confidence
Diagnosis
Claimed
5.6x
duplicate credit
Verified
3.9x
clean revenue
Finance-ready confidence91%
Spend-risk map
Meta prospecting
$420K exposed
Cap
3.9x
Google brand
$310K exposed
Hold
4.1x
TikTok broad
$180K exposed
Cut
2.7x
Action dock
Shift budget
+14%
High-LTV lookalikes
Suppress
18K
Low-retention users
Refresh
Set B
Creative fatigue
Approve
Ready
Finance packet
The campaign reporting problem

Every Campaign Platform Claims Credit. Finance Needs Revenue Truth.

Campaign intelligence turns platform conflict into one verified decision record: claim, adjustment, confidence, action, and approval.

app.drivemetadata.com / campaigns/before-after-diagnosis
Before
Platform-led view
5.6x

Looks scalable until duplicated credit and weak retention are reconciled.

After
Revenue-truth view
3.9x

Clean ROAS ships with the reason, confidence score, owner, and next action.

Claim
5.6x platform ROAS
Adjustment
Duplicate credit removed
Decision
Scale only verified cohorts
Meta5.6x ROAS
3.9x clean ROASDuplicate conversion credit
Google4.9x ROAS
4.1x clean ROASView-through overlap
TikTok3.8x ROAS
2.7x clean ROASLow-retention cohort
CRM$1.42M revenue
$1.08M bookedRefund and renewal timing

What gets easier

Campaign owners see the risk, source, and next move in seconds.

Budget reviews stall without one trusted ROAS.
Clicks get rewarded before revenue quality is proven.
Creative, audience, and fraud signals arrive too late.
Recommendations need risk, approval, and activation state.
Campaign Truth Model

Campaign Claims Become a Finance-Ready Budget Decision

The claim, verified truth, evidence stamps, and approved action stay on one screen so marketing and finance read the same answer.

app.drivemetadata.com / campaigns/truth-model
Budget decision ticket
Raw ROAS vs verified revenue truth
finance-ready5 evidence stampsaudit attached
Raw claim
5.6x ROAS
Platform says budget is ready
Verified truth
3.9x clean
Revenue, risk, and quality checked
Budget action
Approved move
Action leaves with evidence
Evidence passport
01
Ingest campaign claims
02
Resolve customer truth
03
Adjust signal quality
04
Score Verified ROAS
05
Activate approved action
Claim gap detector
Claimed ROAS is compared with finance-approved revenue.
audit trail
Meta
claim
5.6x
truth
3.9x
verify before spend
Google
claim
4.9x
truth
4.1x
verify before spend
TikTok
claim
3.8x
truth
2.7x
verify before spend
Email
claim
2.8x
truth
3.2x
scale
Proof carried with every budget action
Spend
Claims + creative fatigue
Conversion
First-party + identity quality
Revenue
CRM revenue + refunds
Quality
Fraud + audience retention
Approved decision

Shift budget only when verified revenue beats the claim and quality gates pass.

Move
Scale verified cohorts
Suppress
Block risky sources
Report
Send proof trail
Every approved move leaves with the claim, truth score, evidence, and audit trail attached.
Verified ROAS workflow

Score Every Budget Move Before It Leaves the Dashboard

The confidence view keeps the money question front and center: what is clean, what is risky, and what action is approved.

app.drivemetadata.com / campaigns/roas-confidence-model
Verified ROAS Score
91%
Approved for monitored budget increase
Confidence91%
Spend exposure$420K
Revenue impact+$310K forecast
RiskCAC guardrail met
Raw vs clean ROAS trend
Revenue match96%
Booked revenue, refunds, cancellations, and renewals agree.
Attribution agreement88%
Platform claims match first-party customer paths.
Fraud cleanliness91%
Invalid traffic, click spam, and low-quality sources removed.
Cohort durability84%
Retention, payback, and LTV quality clear the budget gate.
Spend-risk map
Prioritize spend by clean ROAS and action risk.
Meta prospecting
$420K exposed
Cap
3.9x
Refresh creative, hold CAC guardrail
Google brand
$310K exposed
Hold
4.1x
Keep monitored spend
TikTok broad
$180K exposed
Cut
2.7x
Suppress low-retention cohort
Email remarketing
$95K exposed
Shift
3.2x
Move budget into high-LTV journey

Budget move simulator

One approved recommendation, not another report.

Shift 14% into high-LTV lookalikes
Clean revenue impact is forecast at +$310K with CAC guardrail met.
Signal quality intelligence

Show Why a Campaign Deserves More Spend or Less

Creative, audience, and fraud signals become simple priorities growth teams can scan before changing spend.

Raw vs clean ROAS
Platform-reported ROAS5.2x
Fraud-adjusted ROAS4.1x
Durable cohort ROAS3.8x
app.drivemetadata.com / campaigns/signal-quality
D7
Creative fatigue timeline
Set B still earns clicks after retention and payback decline.
84%
Audience quality map
High-LTV lookalikes beat broad prospecting after quality checks.
4.1x
Fraud-adjusted performance
Raw ROAS becomes clean ROAS after invalid traffic is removed.
Priority queue
P1Scale
+$310K
High-LTV lookalikes with clean ROAS lift.
P2Watch
$420K
Prospecting spend stays capped until fatigue clears.
P3Stop
2.7x
Broad cohorts fail durability after fraud adjustment.
app.drivemetadata.com / campaigns/recommendation-to-action
AI recommendation with evidence
Move 14% budget into high-LTV lookalikes, suppress low-retention segments, refresh Creative Set B, and sync the same cohort to lifecycle.
Confidence
91%
Spend exposure
$420K
Revenue impact
+$310K forecast
Risk
CAC guardrail met
Approval
Ready for finance review
Action dock
Shift budget
+14%
High-LTV lookalikes
Suppress
18K
Low-retention users
Refresh
Set B
Creative fatigue
Approve
Ready
Finance packet
1
Detect conflict
Claims diverge from revenue, fraud quality, or cohort durability.
2
Explain the gap
Show duplicate credit, invalid traffic, weak audience, or fatigue.
3
Score confidence
Combine attribution, revenue match, fraud cleanliness, and payback.
4
Recommend action
Rank budget shifts, caps, suppressions, creative refreshes, and syncs.
5
Approve and activate
Sync audiences, update campaigns, export reports, and keep the trail.
Recommendation to action

Detect Conflict, Explain the Gap, Approve the Move, Activate It

Campaign intelligence should finish in the workflow: an owned action, an activation destination, and the audit evidence to defend it.

Enterprise methodology and trust

A Reconciliation Method Finance, Data, and Growth Teams Can Defend

DriveMetaData frames campaign intelligence as an auditable operating model: metric definitions, adjustment reasons, approval trails, governance controls, and exportable evidence.

Reconciliation methodology
1Source normalization across ad platforms, MMPs, CRM, commerce, warehouse, and offline revenue.
2Identity-resolved attribution paths with deterministic and probabilistic confidence fields.
3Fraud, invalid traffic, duplicate credit, refund, churn, and retention adjustments before ROAS is trusted.
4Finance-ready campaign reporting with metric definitions, variance explanations, and exportable evidence.
5Approval history for budget moves, suppressions, audience syncs, journey handoffs, and executive reporting.
Governance included
SSO and RBACAudit logsData residency controlsData processing, security control mapping, and privacy support postureSLA and support modelAPI and warehouse exports
Built for enterprise review

Every recommendation can carry the source data, adjustment logic, confidence score, owner, approval status, and export packet needed for quarterly business reviews and finance reconciliation.

Ad platform reporting
Optimizes inside one auction and over-credits its own conversions.
Reconciles every platform claim against first-party revenue and quality signals.
MMP reports
Attribution is strong, but finance, retention, and activation context can sit elsewhere.
Combines attribution, fraud, identity, cohort quality, and activation-ready recommendations.
BI dashboards
Explains history, but does not turn campaign conflict into an approved next action.
Scores confidence, recommends the budget move, and sends it to campaigns, journeys, or reports.
Engagement platforms
Orchestrates journeys without always proving paid media revenue truth upstream.
Hands verified audiences and suppressions to lifecycle teams with revenue evidence attached.
Integration architecture

Connect the Systems That Create, Measure, and Activate Campaign Revenue

Campaign intelligence sits between ad platforms, attribution tools, CRM, commerce, warehouses, journey tools, BI, and activation destinations so teams can move from evidence to execution.

Campaign sources

Paid, owned, lifecycle, mobile, web, affiliate, influencer, and offline activity.

MetaGoogle AdsTikTokApple Search AdsSnapchatEmailSMSWhatsApp
Revenue systems

First-party events and finance systems that validate campaign claims.

SalesforceHubSpotShopifySubscriptionsOffline salesRefunds
Measurement layer

Attribution, identity, fraud, analytics, and warehouse infrastructure.

AppsFlyerAdjustKochavaBranchClickHouseSegmentTealium
Activation destinations

Approved decisions sync to journeys, audiences, BI, and campaign operations.

BrazeMoEngageWebEngageCDPBI exportsReporting APIs
Connected DriveMetaData products
Campaign intelligence gets stronger when measurement, fraud, analytics, attribution, and activation share the same customer and revenue truth.

Build Campaign Revenue Truth.

Give growth, finance, analytics, and lifecycle teams one campaign intelligence platform for Verified ROAS, budget actions, fraud-adjusted performance, and first-party revenue reconciliation.