Table of Contents
Tools Needed
Step 1: Collect and Structure Campaign Data
- Export performance data directly from Google Ads or Meta Ads Manager, including:
- Campaign Objectives (e.g., awareness, lead generation).
- Key Metrics: CTR, CPC, CPM, Conversions, ROI.
- Audience Details: Demographics, interests, behaviors.
- Ad Creatives: Headlines, descriptions, or CTAs.
- If you have video campaigns, use Descript to create transcripts of the video content. Include a brief description of the visuals accompanying the video, such as tone (e.g., energetic, serious), dominant colours, and key scenes, to give ChatGPT context for improving or aligning messaging with visuals.
- Import all data into Google Sheets. Structure the data with clear headings like:
- Campaign Name
- Objectives
- Metrics (CTR, CPC, ROI)
- Audience Insights
- Ad Creative Summaries
This ensures the data is well-organised and easy for ChatGPT to process.
Step 2: Input Data into ChatGPT (GPT-4 Turbo)
- Open ChatGPT and select GPT-4 Turbo for analysis.
- Use the structured data from Google Sheets to craft a prompt:
Sample Prompt:
Create a professional data sheet with the following details:
Title: {Column Title}
Key Highlights: {Column Highlights}
Supporting Data: {Column Data}
Audience: {Column Audience} Include headings, bullet points, and a call-to-action.
"Analyse this marketing campaign:
Objective: Increase conversions for <Product/Service>.
Audience: Women aged 25-40, interested in sustainable fashion.
Ad Creatives: 'Shop sustainable styles today' with visuals of eco-friendly products. Video visuals include a serene outdoor setting with vibrant greens, product close-ups, and happy customers engaging with the product.
Metrics: CTR: 1.2%, CPC: $2.50, ROI: 200%, Conversions: 150.
Provide recommendations for improving:
Audience targeting (segmentation, exclusions, lookalike audiences).
Ad creative and messaging to improve engagement and conversions.
Budget allocation for better ROI.
Bidding strategies to lower CPC while maintaining results.
Use industry best practices and benchmarks for the fashion industry".
ChatGPT will then generate detailed recommendations based on your input.
Step 3: Implement Recommendations
Audience Targeting
Update your audience settings based on ChatGPT’s suggestions. For example:
- Refine demographics to include a smaller, high-conversion audience.
- Add lookalike audiences for better reach.
- Exclude irrelevant segments to reduce wasted spend.
Ad Creative Improvements
Use ChatGPT’s recommendations to revise ad headlines, descriptions, and CTAs directly in Google Ads or Meta Ads Manager. For visuals, update creatives using Canva for fast and professional results.
Budget Reallocation
Reallocate budgets to high-performing campaigns. Shift spend away from underperforming channels or ads as suggested by ChatGPT.
Bidding Strategies
Use automated bidding strategies like Target CPA (Google Ads) or Minimum ROAS (Meta Ads Manager) as recommended by ChatGPT to optimise costs and improve results.
Step 4: Monitor Performance and Refine
- Create a dashboard in Google Data Studio or HubSpot Analytics to track metrics like CTR, CPC, Conversions, and ROI.
- Monitor the impact of the changes implemented.
- Identify trends or anomalies in performance data over time.
Step 5: Iterate with ChatGPT
Export updated performance data from your dashboards and input it into ChatGPT using a similar prompt:
"Here are the updated metrics for the campaign after optimisations: CTR: 2.5%, CPC: $1.80, Conversions: 300, ROI: 350%. What additional adjustments can be made to improve performance further?"
ChatGPT will provide iterative recommendations, helping you fine-tune your campaigns continuously.