An ideal customer profile from sales data with AI uses your existing win and loss records, deal sizes, and customer attributes to define who you should target next. On aidowith.me, the Go-To-Market Baseline route has 11 steps covering ICP development, market sizing, and positioning in about 2 hours. You start by exporting your last 20 to 50 closed deals and pasting key attributes (industry, company size, job title of champion, deal size, sales cycle length) into an AI assistant. The AI finds patterns across your best customers and drafts an ICP with 5 to 7 firmographic and behavioral criteria. You also get a negative ICP showing who to avoid, which is equally valuable for sales efficiency. Reps who work from a data-backed ICP typically close 2 to 3x more deals per quarter than those working from intuition alone.
Last updated: April 2026
The Problem and the Fix
Without a route
- Your ICP is based on gut feel and a 2-year-old workshop, not your actual recent win data
- Sales reps chase deals that look similar to your best customers but keep losing for the same avoidable reasons
- You know your best customer type but can't articulate it in a way that aligns your marketing and sales teams
With aidowith.me
- AI analyzes your win and loss data to surface the 5 to 7 attributes that predict your best customers
- You get both a positive ICP and a negative ICP to help reps qualify faster and disqualify early
- The output is a shareable doc that aligns marketing, sales, and CS around the same customer definition
Who Uses This Tool
Founders
Move fast on pitches, pages, research. AI as your first hire.
Managers & Leads
Reports, presentations, and team comms handled faster.
Sales & BizDev
Prep calls, draft outreach, research prospects in minutes.
How It Works
Export and Structure Your Sales Data
Pull the last 20 to 50 closed deals from your CRM. For each deal, note: industry, company size, champion job title, deal size, sales cycle, and win or loss outcome. Paste this into the AI as a structured list.
Identify Winning Patterns
Ask the AI to find commonalities across won deals and differences from lost deals. Get a ranked list of 5 to 7 ICP attributes with the data behind each one, patterns from your actual deals, not just assertions.
Write and Distribute the ICP Doc
Use the AI to format findings into a 1-page ICP document: firmographics, behavioral triggers, common objections, and buying process. Add the negative ICP and share with your sales and marketing teams.
Build Your Data-Backed ICP in Under 2 Hours
Follow the 11-step Go-To-Market Baseline route on aidowith.me and ship an ICP your whole sales team will use.
Start This Route →What You Walk Away With
Export and Structure Your Sales Data
Identify Winning Patterns
Write and Distribute the ICP Doc
The output is a shareable doc that aligns marketing, sales, and CS around the same customer definition
"We had an ICP from 3 years ago that our team ignored because it didn't match reality. We ran this route with our last 30 deals and had a new ICP everyone agreed with in 90 minutes."- Head of Sales at a B2B SaaS startup
Questions
Start with what you have. Even 10 to 15 deals with basic attributes, like company size, industry, and deal size, are enough for the AI to find initial patterns. Ask the AI to flag missing fields and prioritize which data to clean first. You don't need perfect CRM hygiene to get a useful ICP. You need consistent data on your key attributes. The Go-To-Market Baseline route on aidowith.me includes a data-prep step for exactly this situation.
An ICP describes the company you target: industry, size, revenue, tech stack, and growth stage. A buyer persona describes the person inside that company: job title, goals, objections, and decision authority. You need both. Start with the ICP to qualify companies, then use the persona to write messaging that resonates with the specific buyer. AI builds both from your sales data in the same session.
Every 6 to 12 months, or after any major product change, market shift, or 20 or more new closed deals. Markets move fast and your best customers in year 1 may not be your best customers in year 3. Running the ICP analysis on aidowith.me takes under 2 hours, so quarterly reviews are realistic for most sales teams without it becoming a major project.