Get alerted when a customer starts using a competitor's tool

The system watches your customers' tech stacks for competitor tools and warns your team before renewal.

How the work actually flows

It branches. Exactly one path is taken; runs once per each customer account.

Pattern: Exclusive Choice (4) · Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(["weekly schedule run"]):::trigtime s0[("load customer list")]:::store s1[["check customer tech stack"]]:::mi s2["calculate renewal risk"]:::task trig --> s0 s0 -->|"one per each customer account"| s1 s1 --> s2 gx{"× is churn risk high"}:::gate s2 --> gx p00["email account manager"]:::task gx -->|"high risk"| p00 p10["no action taken"]:::task gx -->|"low risk"| p10 p00 --> out p10 --> out out[/"at risk accounts flagged weekly"/]:::out pay{{"earlier warning before churn"}}:::pay out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepRuns once per itemA record or sheetOne path onlyResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
CRM & Sales PipelineEmail AutomationMessaging & NotificationsSpreadsheet & Database OpsResearch & Market Intelligence
Connects
Google SheetsGmailSlackPredictLeads
Featured in

The problem it solves

A customer quietly switches to a competitor's software weeks before their renewal, and you don't find out until the cancellation email arrives. Your customer success team can't manually check every account's technology on a regular basis, so early warning signs go unnoticed.

Who it fits

A customer success team or account manager responsible for renewals at a B2B software company.

How it works

  1. Every week, the system loads your customer list from a spreadsheet
  2. It checks each customer's current technology stack
  3. It flags any customer that has adopted a competitor's tool
  4. It calculates how close that customer is to renewal
  5. If the risk is high, it emails the assigned account manager
What you get

Renewal risks you hear about early

You get a heads-up whenever a customer picks up a competitor's tool, sent straight to the account manager before renewal talks start.

What you get

A weekly churn-risk alert email flagging specific at-risk accounts to the right account manager.

What you need

A Google Sheets account, a Gmail account, and a PredictLeads API subscription.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

Related automations

Send a weekly Seed and Series A funding scouting report by email

Watches a list of companies for new funding rounds and emails you a ready-made weekly scouting report.

Standard

Alert your sales team when a CRM account starts hiring fast

Scans your HubSpot companies daily, flags any with a sudden hiring spike, and sends a Slack alert to your team.

Advanced

Alert your sales team when a prospect adopts a competitor's tool

Checks your target accounts daily for competitor tool adoption and emails the right salesperson when it finds a match.

Advanced

Score and route new leads automatically with AI and Slack alerts

Reads new leads from email or web forms, scores them with AI, updates your CRM, and alerts your team on Slack.

Advanced
Back to the AI Playbook