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Demand GenerationintermediatePro

Audit campaign landing-page quality in GA4 with Claude

Compare campaign traffic, landing-page engagement, CTA behavior, form progression, key events, and segment quality to identify pages that attract clicks but fail to create useful demand.

What you will have

A landing-page quality scorecard, evidence-backed issue classification, and prioritized page remediation plan.

Setup time
4-7 hours
Time saved
6-10 hours per campaign review
Estimated cost
$20 to $180 per month
Tools used
2 tools

Why this works

Landing pages are often judged on conversion rate without considering channel mix, device, intent, or event quality. This workflow creates comparable cohorts and checks the entire page-to-form sequence. Claude labels the likely issue and uncertainty while the campaign owner approves the remediation plan.

Step-by-step workflow

Preview the workflow

The first 2 steps are open. Pro unlocks the remaining steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and implementation details.

1

Define the decision, scope, and accountable owners

30-45 min

Write a one-page operating charter for campaign landing-page quality and downstream conversion behavior before exporting any data. State the exact decision this workflow supports: which landing pages need message, UX, targeting, or tracking changes. Define the in-scope business units, pipelines, regions, date window, record types, and exclusions, then name one analysis owner, one Google Analytics 4 data owner, and one final approver. Record the review cadence as weekly during active campaigns and specify where evidence, approvals, and exceptions will be stored. Review the charter with the approver and do not proceed until the scope and decision rights are accepted.

Output

An approved operating charter with scope, owners, cadence, and decision rights.

Google Analytics 4
Pro tip

A narrow decision produces better analysis than a broad request to “find insights”; keep out-of-scope questions in a separate backlog.

2

Translate the policy into testable rules

45-75 min

Convert the operating policy into a rule register that can be checked against GA4 events and dimensions. Create one row per rule with rule_id, rule_name, business_reason, required_fields, calculation_or_test, pass_condition, exception_code, severity, owner, and policy_version. Start with these minimum checks: UTM values are normalized, landing-page cohorts use the same date window, campaign traffic is not mixed with unrelated organic sessions, CTA and form events fire once per intended action, and low-volume pages are not ranked as winners prematurely. Give every rule an example that should pass and an example that should fail so reviewers interpret it consistently. Have the business owner approve the rule register and record any unresolved policy questions before data is scored.

Output

A versioned rule register with pass conditions, examples, severity, and exception codes.

Google Analytics 4
Pro tip

Version the rules independently from the workflow; changing a threshold should not erase which policy produced an earlier decision.

Pro workflow preview

Previewing 2 of 16 steps

Pro membership

Unlock the full workflow

Get the remaining 14 steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and weekly new workflows.

$9/month

Build the required Google Analytics 4 reports and views
Create the data dictionary and evidence-key convention
Export a dated and access-controlled source package
Normalize joins, dates, and controlled values
Run the readiness and data-quality gate
Build the reusable Claude Skill and project workspace
See Pro plan
3Build the required Google Analytics 4 reports and views
Locked
4Create the data dictionary and evidence-key convention
Locked
5Export a dated and access-controlled source package
Locked
6Normalize joins, dates, and controlled values
Locked
7Run the readiness and data-quality gate
Locked
8Build the reusable Claude Skill and project workspace
Locked
9Run the evidence-linked Claude analysis
Locked
10Validate a stratified sample against source records
Locked
11Convert validated findings into a prioritized action backlog
Locked
12Create the decision artifact in Claude
Locked
13Run the human approval and exception gate
Locked
14Apply approved changes safely in Google Analytics 4
Locked
15Add read-only MCP and optional n8n automation after stabilization
Locked
16Measure outcomes, close the run, and update the system
Locked

Expected results

Audit coverage

100% of the approved in-scope population

The workflow begins with a frozen scope and reconciles the analyzed row count to the platform control report, so coverage can be verified rather than estimated.

Evidence traceability

Every approved finding linked to a source evidence key

The data dictionary and evidence-key convention require each factual conclusion to point to a specific record, field, and as-of date.

Controlled execution

No source-system change without recorded approval and rollback data

Recommendations, approvals, and writes are separated into different steps, with pre-change exports and pilot validation before broader application.

Reusable operating cadence

A repeatable weekly during active campaigns review system

The Claude Skill, rule register, acceptance tests, run manifest, and closeout process turn the work into a maintained operating system rather than a one-time analysis.

Related workflows

Continue with workflows that share a similar GTM motion, category, or tool stack.