Financial analysis · adoption-ready estimate

Win Analysis - Understand Why You Win and Lose Deals

If an entrepreneur "adopted" this product today, here's the realistic math.

Fermi summary

If you land 100 customers at $80/month that's $96k ARR - but Gong already owns the buyers who care most, HubSpot is shipping this for free, and there's a 13% shot you get there.

Market size (TAM)

$48.0M

~40,000 US B2B companies with 10-50 person sales teams needing standalone win/loss analytics (too big for CRM-native reports, too small for Gong) × $1,200/year avg

Year-1 ARR range

$18k - $380k

midpoint $96k

Gross margin

82%

Investment to production

$38k

Dev: $18k for Salesforce + HubSpot CRM integrations, auth, billing, and analytics dashboards. Marketing: $12k for LinkedIn outbound sequence

Probability of success

13%

P(reaching mid case in 12 months)

Expected take-home Y1

$-28000

probability-weighted, after investment

Go-to-market motion

LinkedIn outbound targeting VP Sales and RevOps at 50-500 person B2B SaaS companies → 20 demos/month → 3 closes/month at $80/month average, layering HubSpot and Salesforce marketplace listings by month 4.

Key risks

Gong and Chorus already bundle win/loss analytics into their $15k+/year conversation intelligence suites - a majority of realistic buyers already have the feature and won't pay twice
Win/loss data quality depends entirely on sales reps logging loss reasons honestly in CRM, which most don't - the core value proposition breaks when input data is 'lost - no decision' on 60% of deals
HubSpot and Salesforce are shipping AI-native deal analytics in their core product, making the standalone tool redundant for the exact tier of company most likely to adopt it

Generated by the Wishdeal Factory financial-analysis agent. Numbers are honest Fermi estimates, not guarantees. Real outcomes depend on the operator. The studio is bullish on the engineering quality, agnostic on the business outcome.