Attribution Audit Services
Know Where Your Revenue Actually Comes From
Attribution audits that fix broken UTM tagging, reconcile cross-channel data, and document why your channel reports tell three different stories.
Attribution Audit Services
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What an Attribution Audit Covers
Attribution problems usually start in three places: bad UTM hygiene, incorrect channel definitions, and platform data that does not reconcile. We audit all three.
UTM Tagging Audit
Review every campaign URL for consistent naming conventions, correct parameter values, and missing tags that break channel attribution.
Channel Grouping Review
Verify that GA4 channel definitions match how your business actually categorizes traffic — not Google defaults that lump everything into "Direct."
Cross-Platform Reconciliation
Compare reported conversions across GA4, Google Ads, Meta, and LinkedIn — and explain the variance instead of ignoring it.
Model Comparison Analysis
Compare last-click, first-click, data-driven, and linear attribution models in your GA4 property — and document which one tells the truth.
Attribution Problems We Fix Most Often
If your channel reports do not match your CRM, your ad platforms disagree, or organic traffic shows as Direct — these are the usual suspects.
Last-click attribution giving all credit to Google Ads
Your Google Ads budget keeps growing because the algorithm thinks Google is the only channel that converts — but your sales team says organic and referrals close most deals.
Fix: Cross-reference GA4 multi-channel funnels, CRM close dates, and UTM source data to reveal the full path. Import offline conversions into Google Ads.
Organic and email traffic showing as Direct
Google Analytics lumps your newsletter and organic referral traffic into Direct — making it impossible to evaluate those channels.
Fix: Fix referrer settings in GA4, add UTM parameters to email links, and configure hostname-based referral exclusion lists.
Meta and Google Ads reporting different conversion counts
Google Ads shows 50 conversions this month. Meta shows 40. GA4 shows 45. Nobody knows which number to use for reporting.
Fix: Establish a single source of truth, audit deduplication rules, and document which platform gets credit for cross-device conversions.
No visibility into assisted conversions
A prospect clicks a LinkedIn ad, researches you on Google, receives an email, and converts. GA4 last-click says LinkedIn drove zero value.
Fix: Use GA4 exploration reports to map multi-touch paths. Shift attribution discussion from "who gets credit" to "which channel started the journey."
Attribution Models: What Each One Actually Tells You
There is no universally correct attribution model. The right one depends on your sales cycle, your channel mix, and what decision you are trying to make.
Last Click
Best for: Businesses with short consideration cycles and single-channel journeys
Limitation: Gives zero credit to upper-funnel channels that initiate research
First Click
Best for: Brand-building campaigns where you want to know what drives awareness
Limitation: Ignores the closing role of direct and paid search in most B2B journeys
Linear
Best for: Equal-weight multi-touch journeys common in high-consideration purchases
Limitation: Treats the first click and the 10th click identically
Data-Driven
Best for: GA4 properties with enough conversion volume to train a model (100+ monthly)
Limitation: Requires significant data; can be opaque about how it allocates credit
UTM Hygiene Checklist
Before you argue about attribution models, make sure your UTM parameters are consistent. These are the checks we run on every campaign URL audit.
All campaign URLs use lowercase utm_source, utm_medium, and utm_campaign (lowercase is required)
utm_source reflects the platform: google, meta, linkedin, newsletter — not a campaign name
utm_medium reflects the format: cpc, email, social, referral, organic — consistently applied
utm_campaign uses a documented naming convention agreed upon by the whole team
Landing page URLs do not have trailing UTM parameters from previous redirects
Internal links do not have UTM parameters (that would tag your own traffic as paid)
utm_content and utm_term are used for ad creative and keyword differentiation where relevant
Shortened URLs are expanded and validated before campaign launch
Closing the Loop: Offline Conversion Import
Most attribution models only see digital interactions. When a lead converts offline — by phone, at a storefront, or through a referral — that conversion never makes it back to Google Ads or GA4. Offline conversion import closes that loop.
CRM-Connected Import
Closed-won HubSpot or Pipedrive deals mapped to the original Google Click ID (gclid) so Google Ads can credit the correct ad.
Phone Call Attribution
Call tracking numbers linked to GA4 source data — so calls that originated from a specific campaign or keyword are credited correctly.
Revenue-Based Optimization
Deal value imported instead of binary conversion counts — so Google Ads optimizes toward $5,000 deals instead of $50 form fills.
Get an Attribution Audit Before Your Next Budget Review
We audit your UTM tagging, cross-platform conversion data, and attribution model — and give you a documented answer for why your channels report different numbers.
UTM hygiene audit across all campaign URLs and email links
Cross-platform conversion reconciliation: GA4, Google Ads, Meta, CRM
Attribution model recommendation with documented rationale