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How to reverse-engineer your customers purchasing decision to discover GTM signals

I can give you the most generic signals that everyone is using like funding, new hire, etc.

By My Auto Ops · Practical field guide · Free, no signup

But it might be better to show you a practical framework so you might discover new signals itself?

For example, what we did for a commercial b2b company is build a bot that reviews looplist.com every 1 hour or so to see which posting got taken down, which could be a “possible opportunity” or assumption that the building was sold or a new tenant was in it, which means “they might” need commercial HVAC, low voltage, roofing or GC expansion services.

Now here is a practical reverse signal framework that is going to help you out.

Reverse signal framework: 1. Understand why customers buy — identify what creates the need for your service. 2. Reverse-engineer the buying event — what happened before the customer needed you? 3. Find observable evidence — what external event could reveal that change? 4. Identify the data source — where can you reliably find those events? 5. Validate the signal — does it actually produce qualified opportunities?

Let’s actually apply it as an example for an insurance broker.

To make it simpler

  1. What business changes create the need for insurance?
  2. Reverse-engineer the buying event
  3. Find observable evidence
  4. Identify the data source
  5. Validate the signal

Want help putting this into practice?

My Auto Ops builds prospect enrichment, data-validation, and outbound workflows for B2B revenue teams. Explore our GTM services or tell us about your current setup.