--- title: ChatGPT Campaign Analysis Workflow type: knowledge created: '2026-04-05' updated: '2026-04-05' source_docs: - raw/2025-10-08-amazon-ad-review-92691401.md tags: - chatgpt - google-ads - ai-analysis - workflow - ads-optimization - pmax layer: 2 client_source: null industry_context: null transferable: true --- # ChatGPT Campaign Analysis Workflow ## Overview ChatGPT Plus can dramatically accelerate Google Ads campaign analysis by ingesting exported reports and returning structured performance breakdowns, optimization recommendations, and actionable next steps — without requiring direct account access. Using the **Projects** feature, you can maintain persistent, client-specific context across multiple analysis sessions. This workflow was developed and demonstrated during an internal review session on 2025-10-08, using [[clients/bluepoint/index|Bluepoint ATM]] and [[clients/citrus-america/index|Citrus America]] as live examples. --- ## Core Workflow ### 1. Export Reports from Google Ads For each client account, download the following reports (CSV or XLSX): - **Campaigns report** — impressions, clicks, CTR, CPC, conversions, cost - **Ad Groups report** — same metrics broken down by ad group - **Keywords report** — search term performance, match types - **Negative Keywords report** — existing exclusions - **Search Terms report** — actual queries triggering ads (found under Insights & Reports → Search Terms) > **Naming convention:** Rename files to include the client name and month before uploading (e.g., `bluepoint-campaigns-oct-2025.xlsx`). This prevents confusion when files accumulate across months. ### 2. Create a Client-Specific ChatGPT Project In ChatGPT Plus, create a **Project** for each client's Google Ads account: 1. Click **New Project** in the left sidebar 2. Name it clearly: e.g., `Bluepoint ATM Google Ads` 3. Upload all exported reports via **Add Files** 4. Add any relevant context notes (e.g., "Page view goal removed from conversions on October 8, 2025 — historical data prior to this date is inflated") **Why Projects?** Unlike a standard chat, a Project retains all uploaded files and prior conversation context. Each new chat within the project can reference previous reports, decisions, and notes. This makes month-over-month analysis coherent without re-explaining the account from scratch. ### 3. Prompt for Analysis Start with a broad analysis prompt, then drill down: **Initial prompt example:** > "Here are the campaign, ad group, and keyword reports for [Client] Google Ads for October 2025. Please analyze performance across all campaigns. Identify strengths, weaknesses, and your top optimization recommendations. Note: page views were removed as a conversion goal on October 8 — data before that date has inflated conversion counts." ChatGPT will typically return: - Per-campaign performance breakdown (CPC, CTR, conversion rate, CPA) - Identification of high-spend / low-conversion campaigns - Bid strategy recommendations (e.g., switch to Maximize Conversions, adjust Target CPA) - Landing page and audience quality flags - Specific action items (pause underperforming ad groups, add negative keywords, etc.) **Follow-up prompts to consider:** - "What additional data would help you give better recommendations?" - "Which campaigns should we pause or restructure first?" - "What negative keywords would you suggest based on the search terms report?" ### 4. Act on Recommendations Common outputs from this workflow and how to handle them: | Recommendation | Action | |---|---| | Conversion tracking includes non-lead actions (page views, scrolls) | Remove from Goals in Google Ads → Conversions → Summary; add as Observations only | | Landing page points to homepage instead of dedicated page | Update destination URL in ad to a relevant, conversion-focused landing page | | PMAX campaigns showing inflated or unclear conversions | Pause or restructure after 1 week of clean conversion data | | High CTR but low conversion rate | Review landing page relevance, add trust signals, call extensions, lead forms | | Very low CPA (suspiciously low) | Audit conversion actions — likely counting micro-conversions as goals | | Negative keyword gaps | Download search terms report, identify irrelevant queries, add as negatives | ### 5. Maintain the Project Over Time - Each month, upload new reports to the same project - Rename files by month so ChatGPT can distinguish time periods - Add notes about any account changes (bid strategy switches, new campaigns, tracking fixes) as plain text messages within the project - The project accumulates institutional knowledge about the account over time --- ## Key Principles **ChatGPT does not need account access.** Exported CSV/XLSX files contain all the data needed. This keeps client credentials secure and the workflow portable. **Speed, not magic.** ChatGPT is performing the same analysis a skilled analyst would — it's just doing it faster. The value is in compressing hours of review into minutes, not in surfacing insights a human couldn't find. **Garbage in, garbage out.** If conversion tracking is broken (e.g., counting page views as conversions), ChatGPT will flag the anomaly but cannot fix it. Always audit conversion goals before trusting performance data. See [[knowledge/google-ads/conversion-tracking-best-practices|Conversion Tracking Best Practices]]. **One project per client per channel.** Don't mix Bluepoint Google Ads data with Bluepoint Amazon data in the same project. Keep contexts clean. --- ## Conversion Tracking Note A recurring issue surfaced during this workflow: **page views, scroll events, and sessions being counted as conversion goals** in Google Ads. This inflates conversion numbers and causes Google's bidding algorithms to optimize toward low-value actions. **Correct setup:** - **Goals (counted as conversions):** Form fills, phone calls, button clicks, email clicks, PDF downloads (if meaningful) - **Observations only (not goals):** Page views, scroll depth, session starts When fixing this mid-campaign, note the date of the change. Historical data will remain inflated; filter reports from the correction date forward for accurate analysis. See the [[meetings/2025-10-08-amazon-ad-review|2025-10-08 meeting notes]] for the live example with Bluepoint ATM (correction date: October 8, 2025). --- ## Related - [[knowledge/google-ads/conversion-tracking-best-practices]] - [[knowledge/google-ads/pmax-campaign-management]] - [[clients/bluepoint/index]] - [[clients/citrus-america/index]] - [[meetings/2025-10-08-amazon-ad-review]]