Generate Marketing Campaign ROI Reports
Pulls marketing campaign data from Google Sheets, analyzes performance with GPT-4o, and emails a structured ROI recap.
What it does
You get an automated email with a structured ROI recap that analyzes your marketing campaign data from Google Sheets using AI to summarize key performance metrics. This process pulls the raw numbers, interprets them, and delivers clear insights without you needing to manually review rows of data.
Step by step
- Configure the Google Sheets trigger to watch for new rows or updates in the specified spreadsheet ID and sheet name.
- Implement a code node that extracts relevant columns such as spend, clicks, conversions, and revenue from the row data.
- Pass the extracted metrics into an OpenAI Chat Model with a system prompt defining the report structure.
- Use a Structured Output Parser to enforce JSON schema compliance for the final ROI calculation fields.
Where the LLM does the work
- Generate natural language summaries of campaign performance trends and anomalies based on the numerical data.
- Interpret contextual nuances in campaign names or tags that might affect how metrics are grouped or explained.
- Draft actionable recommendations for budget reallocation based on the calculated return on investment figures.
Watch out for
Non-numeric values in metric columns will cause calculation errors, so add validation steps to skip or flag invalid rows before parsing.
Schema mismatches between your parser and the LLM output can crash the pipeline, so validate the JSON structure immediately after generation.
Tools that fit
OpenAI Chat Model LLM Summarize performance data
Code API Process logic within n8n
The agent brief
Everything your agent needs, including the gotchas. Copy it and go.
You are helping me build the following AI agent workflow. ## Goal Generate Marketing Campaign ROI Reports: Pulls marketing campaign data from Google Sheets, analyzes performance with GPT-4o, and emails a structured ROI recap. ## Specification - What it does: You get an automated email with a structured ROI recap that analyzes your marketing campaign data from Google Sheets using AI to summarize key performance metrics. This process pulls the raw numbers, interprets them, and delivers clear insights without you needing to manually review rows of data. - Trigger: Run manually (Manual · on demand) - Autonomy: Fully hands-off - Expected setup effort: about an afternoon - Tools/services involved: - Google Sheets: Pull campaign data - OpenAI Chat Model: Summarize performance data - Code: Process logic within n8n ## Known pitfalls, handle each one explicitly in your implementation 1. Non-numeric values in metric columns will cause calculation errors, so add validation steps to skip or flag invalid rows before parsing. 2. Schema mismatches between your parser and the LLM output can crash the pipeline, so validate the JSON structure immediately after generation. ## Reference implementation https://n8n.io/workflows/7586 (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/generate-marketing-campaign-roi-reports/ via usecasesforagents.com
Frequently asked questions
Can I use a different Spreadsheet than Google Sheets?
Yes. Google Sheets is only the example spreadsheet in this recipe. The same flow works with Airtable, Baserow and Excel. Swap the spreadsheet connection and keep the rest of the setup as written.
Want this running in your business?
This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.
Who it's for
Built for marketers who'd rather brief an agent than start from a blank doc.