AI Tool for Competitor Analysis
An AI tool for competitor analysis reads your win/loss data, competitive pricing spreadsheets, and market positioning files and lets you ask plain-English questions about where you win, where you lose, and what competitors are doing differently.
Upload your win/loss report or competitive data and ask which competitors you beat most often, where you lose and why, and how your pricing compares — in plain English, without a competitive intelligence platform.
Drop your file in and ask a question — no account needed.
Upload your spreadsheet.xlsx .xls .csv — free to try, no accountWhat this export contains
| Opportunity ID |
| Competitor |
| Win Loss |
| Loss Reason |
| Deal Size |
| Industry |
| Region |
| Product |
| Our Price |
| Competitor Price |
| Sales Rep |
| Close Date |
What usually goes wrong with it
Win/loss rate by competitor requires counting and dividing across hundreds of rows
Win rate against Competitor A = Wins vs A / Total deals where A was involved. This requires filtering by competitor, counting wins and losses separately, and dividing — a multi-step operation.
DataMimi Datamimi calculates win rate by competitor when you ask, filtering by competitor name and dividing wins by total deals.
Loss reason analysis requires grouping text values that aren't standardized
'Too expensive', 'Price too high', and 'Pricing' all mean the same thing but appear as different values in the Loss Reason column, fragmenting the analysis of why deals are lost on price.
DataMimi It normalizes loss reason variants — 'too expensive', 'price too high', 'pricing' — when you ask for the top reasons deals are lost.
Deal size influences win rate but isn't visible in aggregate win/loss figures
A 40% overall win rate against Competitor A masks a 70% win rate on deals under $50K and a 20% win rate on deals over $100K — a segmentation that matters for positioning.
DataMimi It segments win rate by deal size bracket when you specify the ranges in your question.
Competitive pricing data and win/loss data are in separate files
Win/loss records are in the CRM; competitor pricing is in a manually maintained spreadsheet. Correlating price differential with win rate requires joining two files by competitor name.
DataMimi Upload win/loss and pricing files together and ask how price differential correlates with win rate.
Industry and regional win rate patterns are invisible in flat aggregate reports
A competitor that dominates in healthcare but loses in retail appears average in the overall win rate, making the industry-specific competitive threat invisible.
DataMimi It answers win rate questions filtered by industry or region to surface competitor-specific threats.
Common questions
What does an AI tool for competitor analysis do?
It reads your win/loss data and competitive information and answers questions about win rates, loss reasons, and where competitors are beating you — by segment, region, deal size, and industry.
Can it calculate win rate against each competitor?
Yes. Ask 'what's our win rate against each competitor?' and Datamimi calculates the percentage from your win/loss export.
Can it analyze loss reasons from CRM exports?
Yes. It reads Loss Reason or Competitor columns from your CRM export and answers questions about the most common reasons for losing deals.
What does Datamimi cost?
Free: $0/month, 40 credits. Lite: $9/month, 400 credits. Starter: $24/month, 1,500 credits, up to 3 simultaneous files. Pro: $59/month, 5,000 credits with rollover. Team: $199/month, 20,000 credits, 5 users. No credit card required for the free plan.
Can it work with both win/loss data and competitive pricing data together?
Yes. Upload both files in the same session and ask questions that correlate price positioning with win rate by competitor.
Try it with your own file
DataMimi reads the file you actually have — merged cells, headers below row one, totals pasted at the bottom — and shows which rows and columns every number came from.
Ask about your fileWhat DataMimi costs
Every plan does everything — slides, written reports, cleaned exports, dashboards. They differ in how much work they cover.
Free
Free
40 credits a month
Starter
$24 /month
1,500 credits a month
Pro
$59 /month
5,000 credits a month