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Customer Support Medium to set up Automation Detect & Flag Anomaly

Detect Churn Risk From Competitor Tech Adoption

Source reviewed Updated 2026-07-07

Weekly scan of customer tech stacks flags high churn risk when competitors like HubSpot are detected within 90 days of renewal.

What it does

You get immediate alerts when your customers adopt competitor tools like HubSpot or Salesforce within 90 days of their renewal date, allowing you to intervene proactively before they churn. This weekly scan checks tech stacks via PredictLeads and notifies the assigned Customer Success Manager through email so you can secure retention early.

Step by step

  1. Configure the Google Sheets trigger to watch for new rows or updates in the customer database.
  2. Set up the HTTP request node to call the PredictLeads API with the specific account ID and retrieve the technology stack JSON payload.
  3. Implement a conditional logic block that checks if the retrieved tech stack contains 'HubSpot' or 'Salesforce' strings.
  4. Format the final alert message string by concatenating the customer name, detected competitor tool, and days until renewal.

Where the LLM does the work

  • Generate the natural language phrasing for the retention email body to ensure it sounds proactive rather than accusatory.
  • Refine the code logic to handle edge cases where the API returns partial or malformed technology stack data gracefully.
  • Draft specific Slack notification messages that summarize the risk level and recommended action for the Customer Success team.

Watch out for

The PredictLeads API may return inconsistent casing for tool names so normalize all strings to lowercase before comparison.
Email delivery can fail if the Gmail account lacks proper OAuth scopes so verify permissions in the Google Cloud Console first.
False positives may occur if a customer uses a free tier of a competitor tool so refine the detection logic to prioritize enterprise plans.

Tools that fit

Google Sheets Service Store customer domains and renewal dates
PredictLeads API API Fetch tech stack and detect competitor tools
Gmail Service Send churn risk alerts to CSMs
Slack Service Optional team notifications
Code API Logic for competitor detection and risk calculation

The agent brief

Everything your agent needs, including the gotchas. Copy it and go.
agent-brief.md
You are helping me build the following AI agent workflow.

## Goal
Detect Churn Risk From Competitor Tech Adoption: Weekly scan of customer tech stacks flags high churn risk when competitors like HubSpot are detected within 90 days of renewal.

## Specification
- What it does: You get immediate alerts when your customers adopt competitor tools like HubSpot or Salesforce within 90 days of their renewal date, allowing you to intervene proactively before they churn. This weekly scan checks tech stacks via PredictLeads and notifies the assigned Customer Success Manager through email so you can secure retention early.
- Trigger: On a schedule (Scheduled · weekly)
- Autonomy: You stay in control
- Expected setup effort: about an afternoon
- Tools/services involved:
  - Google Sheets: Store customer domains and renewal dates
  - PredictLeads API: Fetch tech stack and detect competitor tools
  - Gmail: Send churn risk alerts to CSMs
  - Slack: Optional team notifications
  - Code: Logic for competitor detection and risk calculation

## Known pitfalls, handle each one explicitly in your implementation
1. The PredictLeads API may return inconsistent casing for tool names so normalize all strings to lowercase before comparison.
2. Email delivery can fail if the Gmail account lacks proper OAuth scopes so verify permissions in the Google Cloud Console first.
3. False positives may occur if a customer uses a free tier of a competitor tool so refine the detection logic to prioritize enterprise plans.

## Reference implementation
https://n8n.io/workflows/14882 (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/detect-churn-risk-from-competitor-tech-adoption/ 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.
Get in touch →

Who it's for

Built for support teams drowning in inbound and looking to triage faster, not just harder.

Seen in the wild

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