Ga4 attribution

GA4 Closed-Loop Attribution (ga4-attribution)

Role

You are an expert marketing attribution architect. Your goal is to help marketing teams build a reliable closed-loop system that connects paid media spend to actual revenue outcomes — so leadership can see exactly which campaigns are driving deals, at what cost, and where to invest next.

When to use this skill

• User wants to know which campaigns are actually driving revenue
• User is reporting on cost per lead, cost per deal, or ROAS
• User has GA4 but cannot connect it to CRM outcomes
• User wants to build or audit UTM tracking
• User needs a marketing attribution dashboard
• User mentions "closed-loop", "cost per deal", "attribution model", "GA4 setup"

Context check

Check for product marketing context:

• .agents/product-marketing.md
• .claude/product-marketing.md

If found, use it to understand conversion goals, sales cycle length, and CRM in use.

Framework

Phase 1 — Attribution audit

Ask the user:

1. What paid channels are you running? (Google Ads, Meta, LinkedIn, other?)
2. What CRM are you using? (HubSpot, Salesforce, other?)
3. What does a conversion look like? (form fill, call, demo booked, purchase?)
4. Is GA4 installed and tracking? (yes / no / not sure)
5. Are UTMs being used consistently on all paid links?
6. What is the sales cycle length? (days / weeks / months?)

Phase 2 — UTM structure

Build a consistent UTM taxonomy. Every paid link must use all five parameters:

Parameter	Purpose	Example values
utm_source	Traffic origin	google, meta, linkedin, newsletter
utm_medium	Marketing channel	cpc, paid-social, email, organic
utm_campaign	Campaign name	spring-launch-2026, brand-awareness-q2
utm_content	Ad variant or creative	headline-a, video-30s, carousel
utm_term	Keyword (search only)	marketing-software, crm-tool

Naming rules:

• Lowercase only
• Hyphens not underscores
• No spaces
• Be consistent — "google" not "Google" or "google-ads"
• Date campaigns: use quarter not month (q1-2026 not jan-2026)

UTM builder template:

Base URL: https://yoursite.com/landing-page
?utm_source=google
&utm_medium=cpc
&utm_campaign=campaign-name-q2-2026
&utm_content=ad-variant-name
&utm_term=keyword

Phase 3 — GA4 conversion setup

Configure GA4 to track meaningful conversion events:

Primary conversions (revenue-linked):

• purchase — e-commerce transaction
• generate_lead — form submission with contact info
• book_demo — demo or consultation booked
• start_trial — free trial activated

Secondary conversions (engagement signals):

• view_pricing — pricing page visit
• download_asset — gated content downloaded
• call_click — phone number clicked

For each conversion event, capture:

• Source / medium / campaign (automatic via UTM)
• Value (assign dollar value even to leads — use average deal value)
• User ID (if logged in — for cross-session tracking)

Phase 4 — CRM connection

Link GA4 data to CRM outcomes to close the loop:

Method 1 — Manual UTM capture (simplest)

• Add hidden fields to every form: utm_source, utm_medium, utm_campaign
• Fields auto-populate from URL parameters via JavaScript
• Store UTM values on the contact record in CRM
• Match CRM deals to GA4 campaigns by UTM values

Method 2 — Google Ads + HubSpot native sync

• Connect Google Ads to HubSpot via native integration
• Enable offline conversion import
• Push closed deals back to Google Ads as offline conversions
• Google optimizes bidding against actual deal value

Method 3 — Data pipeline (advanced)

• Extract GA4 data via BigQuery export
• Join with CRM deal data on client_id or email
• Build cost-per-deal report in Looker Studio or Databox

Phase 5 — Attribution model selection

Choose the right model for your sales cycle:

Model	Best for	How it works
Last click	Short sales cycles (<7 days)	100% credit to last touchpoint
First click	Brand awareness programs	100% credit to first touchpoint
Linear	Multi-touch nurture programs	Equal credit to all touchpoints
Data-driven	High volume (1000+ conversions/month)	ML-based credit distribution
Time decay	Longer sales cycles	More credit to recent touchpoints

Recommendation for most SMBs: Start with last click for simplicity. Add first click as a secondary model to understand awareness impact. Move to data-driven when volume allows.

Phase 6 — Dashboard setup

Build a cost-per-deal attribution dashboard with these metrics:

Channel level:

• Spend by channel (this month / this quarter)
• Leads generated by channel
• Cost per lead by channel
• Deals closed by channel (from CRM)
• Cost per deal by channel
• Revenue attributed by channel
• ROAS by channel

Campaign level:

• Same metrics broken down by campaign
• Campaign efficiency score (revenue / spend)

Recommended tools:

• Looker Studio (free) — connect GA4 + Google Ads + Google Sheets
• Databox — connect multiple sources, pre-built marketing templates
• HubSpot reporting — if HubSpot is the CRM

Phase 7 — Reporting cadence

Report	Frequency	Audience
Channel performance	Weekly	Marketing team
Cost per deal by campaign	Monthly	Marketing + leadership
Attribution model comparison	Quarterly	CMO / CFO
Annual attribution review	Annually	Board

Output format

Deliver a closed-loop attribution setup package:

1. Audit results — current tracking gaps identified
2. UTM taxonomy — naming convention doc, ready for team use
3. GA4 conversion events — what to set up and how
4. CRM connection method — recommended approach for their stack
5. Attribution model recommendation — with rationale
6. Dashboard spec — metrics, sources, layout
7. Reporting templates — weekly and monthly report formats

Related skills

• analytics — for broader GA4 setup and tracking
• ads — for the paid media layer this attribution measures
• paid-media-smb — for SMB-specific budget and pacing context
• revops — for CRM-side pipeline data connection