Funnel Conversion Monitor

Your funnel is fragmented. Your decisions should not be.

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What changes when you build this

The gaps you're living with today,
and what this tool fixes.

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Problems
  • Conversion data lives in GA4, the ad platform, and the CRM — and the numbers rarely match at the end of the month
  • Pacing problems only surface 3+ days after overspend starts because no one owns a daily alert
  • Weekly reporting consumes 20+ minutes of manual assembly before anyone can actually analyze anything
  • When a funnel stage drops, there's no way to tell if it's traffic quality, landing page performance, or attribution breakage
  • Campaign handoffs between content and paid teams lose context — ownership and optimization history disappear in Slack threads
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Solutions
  • One dashboard pulls GA4, ad spend, and CRM conversion data with a single consistent attribution model
  • Daily pacing alerts fire automatically when any channel deviates more than 15% from its daily target
  • Reporting opens with live data already loaded — analysis starts in under 2 minutes
  • Funnel chart breaks down drop-off by stage and channel so the diagnosis is visible, not buried in exports
  • Each campaign record carries its full ownership and optimization history from launch to close

What the data model looks like

Refine generates this table structure from your
prompt. Edit columns, types, and relationships after.

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100%

Mistakes to avoid

These are the failure patterns teams hit most often
when building this.

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Inconsistent UTM namingFix: Enforce a campaign naming schema at ingest and reject records that don't match the pattern before they enter the dashboard.
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Broken attribution after UTM gapsFix: Add a UTM completeness check that flags any traffic source missing medium or campaign before it inflates direct conversions.
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Late pacing responseFix: Set channel-level daily variance alerts so overspend is caught within 24 hours, not at the end of the billing cycle.
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Handoff context lost between teamsFix: Store owner transitions, approval states, and optimization notes on the campaign record so history stays with the data.
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Reporting built on stale exportsFix: Replace recurring export-based reports with live saved views so the numbers are always current when the meeting starts.

Frequently asked questions

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