wiki/knowledge/google-ads/start-stop-continue-campaign-analysis.md · 757 words · 2026-04-05

Start/Stop/Continue Campaign Analysis Framework

Overview

The Start/Stop/Continue framework is a structured way to evaluate live Google Ads campaign performance against a clean-slate AI-generated strategy. By uploading raw campaign data to Claude alongside a freshly generated campaign recommendation, you get data-driven, prioritized actions — without the bias of sunk-cost thinking.

This approach is most powerful when paired with the [1], where the campaign strategy is generated first from a defined CTA, then compared against what's actually running.


When to Use It


The Process

Step 1: Generate a Clean-Slate Campaign Strategy

Before looking at what's currently running, ask Claude to recommend campaigns based solely on the business objective and landing page. This removes anchoring bias from existing campaign structure.

"Given this landing page with this CTA, what Google Ads campaigns should we run to send traffic to it?"

Claude will return a full strategy including campaign types, budget allocation percentages, ad copy, and a negative keyword list. See [2] for the full prompt workflow.

Step 2: Download Live Campaign Data

In Google Ads:
1. Navigate to Campaigns
2. Set the date range (30 days is a reliable baseline)
3. Click Download to export an Excel report

Step 3: Upload and Prompt Claude

Upload the Excel file to the same Claude conversation and prompt:

"Now compare these recommendations to the current campaign data [uploaded Excel file] and tell us what we should Start, Stop, and Continue."

Structuring the request around Start/Stop/Continue prevents Claude from returning a vague wall of suggestions. It forces prioritized, actionable output.

Step 4: Review the Output

Claude will analyze each campaign's performance metrics (CPA, conversions, click volume, conversion rate) and categorize them:

Category Criteria Action
Continue Strong CPA, solid conversion volume Scale budget aggressively
Stop High spend or click volume, zero or near-zero conversions Pause immediately
Start Gaps in coverage identified by the clean-slate strategy Launch new campaigns

Claude will also suggest a revised budget allocation across all campaigns.


Real Example: Crazy Lenny's E-Bikes

In a live demo against Crazy Lenny's 30-day campaign data, Claude returned:

Continue (Scale)
- Local Store Visits Push — CPA: $1.86, 224 conversions. Recommendation: increase budget, this is the volume driver.
- [Branded campaign] — 4.36 CPA, 19% conversion rate. Recommendation: increase budget.

Stop
- Retargeting Display Campaign — 565 clicks, 0 conversions. Recommendation: pause immediately.

Start
- Test Ride Focus — not currently running; directly aligned with the new landing page CTA.
- Competitor Conquesting — 5% budget allocation to target competitor brand searches.

The revised budget recommendation increased total spend from $70/day to $120/day, with a reallocation away from the display campaign toward the high-performing store visits push and new test ride campaign.


Tips for Better Output


Handing Off the Output

Once you have the Start/Stop/Continue analysis:


Sources

  1. Ai Landing Page Workflow|Ai Landing Page Workflow
  2. Ai Campaign Strategy Generation|Ai Campaign Strategy Generation
  3. Ai Landing Page Workflow|Ai Landing Page Workflow (Claude + Html)
  4. Begin With The End|Begin With The End: Defining Cta Before Building Campaigns
  5. Index|Crazy Lenny'S Client Overview
  6. Ben — Ai Workflow For Landing Pages