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Build a Sales Lead Qualification Tool with Technology Detection

Build a Sales Lead Qualification Tool with Technology Detection

via Dev.to PythonDAPDEV

If you sell software, the technology your prospects use matters more than almost any other qualifying signal. A company running Shopify is a categorically different buyer than one running a custom Rails app. A team using HubSpot is further down the sales maturity curve than one using a spreadsheet. This is called technographic data — knowing what technology stack a prospect uses — and it's how companies like Clearbit and ZoomInfo justify their price tags. The insight is simple: technology choices predict buying behavior, budget range, and fit for your product better than company size or industry alone. This post shows you how to build a basic version of this yourself, using the Technology Detection API and about 100 lines of Python. The Use Case: Qualifying Leads by Tech Stack Let's make this concrete. Say you've built a Shopify plugin — maybe it handles subscription billing, or adds a custom reviews widget, or integrates with a specific 3PL. Your ideal customer is any store running Sh

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