Qualify inbound leads against your ICP
Research each inbound lead's company, score its fit against your Ideal Customer Profile, and log the score with a supporting reason.
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When a new lead is submitted through [intake form tool, web form], the agent researches the company using [web search tool] and weighs what it finds against the Ideal Customer Profile and disqualifiers pulled from uploaded knowledge files. It judges fit for each lead in context, then logs an ICP match score and a short evidence based reason to [spreadsheet tool, e.g. Google Sheets, Excel], giving reps a ranked, qualified view of every lead.
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Problem
Sales reps manually research each inbound lead, visiting company websites and searching the web to judge how well the company fits the Ideal Customer Profile. This is slow and subjective, so strong leads sit unqualified while reps spend time on prospects that were never a good match.
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Solution
When a new lead is submitted through the intake form, the agent researches the company using live web search and weighs what it finds against the Ideal Customer Profile and disqualifiers pulled from uploaded knowledge files. It judges fit for each lead in context, then logs an ICP match score and a short evidence based reason to a spreadsheet, giving reps a ranked, qualified view of every lead.
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Impact
Every inbound lead arrives scored and explained against your Ideal Customer Profile, letting reps focus their time on the prospects most likely to convert.
Benefits
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Automated lead research
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ICP based scoring
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Evidence backed reasoning
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Prioritized lead list
Solutions
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
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