Attribution Audit
Our platforms disagree
Start with an audit when GA4, ad platforms, dashboards, and CRM revenue all tell different stories.
View ServiceStop guessing which marketing spend works.
MetricMaven finds and fixes the tracking, attribution, and reporting gaps that make CAC, LTV, pipeline, and channel performance unreliable.
Diagnostic board
Source-of-truth check
Mode
Audit
GA4 Revenue events Mismatch found
Ads Conversion feedback Underreported
CRM Source fields UTM gaps
BI CAC and LTV Needs model
P0
Revenue-critical fixes
P1
Optimization gaps
P2
Reporting cleanup
99.9%
data accuracy restored
80%
manual reporting time reduced
40+
hours saved weekly
10
brands unified in one reporting system
Trusted by analytics teams and agencies
Start here
Start with the problem your team is already feeling.
Choose the path that matches the reporting problem in front of you. If you are not sure where the gap is, start with the audit or a free GTM scan.
Analytics Implementation
Tracking is incomplete
Rebuild the measurement layer when events, UTMs, conversion APIs, and source fields are unreliable.
View ServicePerformance Reporting
Reporting is still manual
Replace screenshots and spreadsheets with one operating view for spend, pipeline, CAC, LTV, and revenue.
View ServiceOngoing Analytics Partner
Analytics work keeps piling up
Add an ongoing delivery lane when requests, QA, client reporting, and tracking changes need senior ownership every month.
View ServiceMarketing Science
Attribution cannot prove incrementality
Use marketing science when budget allocation, MMM, incrementality, LTV, and forecasting need stronger evidence.
View ServiceServices
Choose the fix your data problem needs next.
Every engagement ships a concrete business artifact: an audit, a tracking implementation, a reporting layer, an advanced measurement model, or a recurring analytics delivery lane.
Attribution Audit
Find the revenue your attribution is losing.
2-week sprint - starts at $5,000
A revenue-focused audit that reconciles GA4, GTM, ad platforms, CRM fields, UTMs, and reporting logic.
Get an Attribution Audit →Analytics Implementation
Fix the tracking layer your growth depends on.
5-8 week build - common scope $7,500-$15,000
Done-for-you tracking and measurement infrastructure for teams ready to fix attribution at the source.
Fix My Tracking →Performance Reporting
Replace manual reporting with one operating view.
3-6 week rollout - scoped to data sources
Dashboards and reporting models that connect spend, pipeline, revenue, CAC, LTV, and payback in one operating layer.
Build Better Reporting →Marketing Science
Measure what platform attribution cannot prove.
Custom scope - best for mature spend and strategic budget decisions
Advanced measurement projects for teams that need incrementality, MMM, LTV forecasting, and budget scenario planning beyond platform attribution.
Scope Marketing Science →Ongoing Analytics Partner
Add senior analytics capacity without hiring.
Monthly retainer - scoped by request load
Recurring senior analytics support for QA, reporting requests, tracking issues, roadmap work, and agency client delivery.
Scope Ongoing Support →Decision layer
The point is not another dashboard. It is a decision layer people trust.
Your team should not spend budget meetings reconciling GA4, ad platform, CRM, and spreadsheet numbers. The right analytics layer turns scattered reports into decisions people can defend.
Before / After
From conflicting reports to one operating view.
4
systems reconciled
1
trusted source
Ad spend
Platform-reported CPA
Spend tied to qualified pipeline
GA4
Session and event counts
Validated conversion behavior
CRM
Messy source fields
Revenue by channel and campaign
BI
Static dashboards
Budget decisions the team trusts
Maven operating layer
Ongoing analytics runs through Maven.
Maven is the workspace behind MetricMaven managed analytics. It keeps requests, tracking QA, reporting changes, and source documentation organized so support does not become a loose backlog.
Maven
The repeatable layer behind the partner service.
1
workspace
4
operating lanes
Requests
Reporting asks, source changes, and stakeholder questions move into one queue.
QA
Tracking issues and data drift stay visible after the first implementation ships.
Docs
Definitions, source notes, and handoff context stay attached to the engagement.
Operators
MetricMaven uses Maven to keep weekly analytics delivery moving.
Proof
Proof that the numbers can be fixed.
MetricMaven work connects analytics infrastructure to visible business outcomes: cleaner data, faster reporting, and better budget decisions.
Client Confidential
Enterprise Data Transformation
How MetricMaven replaced a failed migration with a scalable analytics infrastructure—delivering platform-matched attribution and automated data quality monitoring across seven advertising platforms.
Read the proof →HiFi Agency
HIFI Agency: Full-Funnel Banking Attribution for 19 Clients
80% reduction in reporting time and complete visibility from ad click to funded account.
Read the proof →See Spark Go
See Spark Go: Multi-Brand Franchise Attribution Across 10 Service Brands
A scalable, white-labeled dashboard delivering full ad-to-deal visibility across 10 brands.
Read the proof →Low-friction lead path
Not sure if your tracking is broken? We will check the public signals.
Send us your site. We review visible GTM, GA4, consent, and ad platform signals and send back the issues worth investigating.
Free GTM scan
A quick read on what your site is actually sending.
Tag coverage
We flag the public signals that could make reporting, attribution, or campaign optimization unreliable.
Conversion path
We flag the public signals that could make reporting, attribution, or campaign optimization unreliable.
Attribution risk
We flag the public signals that could make reporting, attribution, or campaign optimization unreliable.
Next fix
We flag the public signals that could make reporting, attribution, or campaign optimization unreliable.
Ready to diagnose the gap?
When the numbers disagree, start with the audit.
We will map where attribution breaks, which fixes matter first, and whether the next step is implementation, reporting, or ongoing analytics support.