Financial analysis · adoption-ready estimate

Buyer Readiness Scorer - Real Intent From Real Signals

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

Fermi summary

If you land 60 SMB customers at $250/mo that's $180k ARR - but with ~14% odds of getting there in year 1 and $28k upfront, the expected take-home is negative; this is a year-2 or year-3 payoff story if you survive the crowded field.

Market size (TAM)

$150.0M

~50,000 US SMB B2B companies with active outbound sales teams that would pay for a standalone intent/scoring tool × ~$3,000/yr avg spend

Year-1 ARR range

$34k - $520k

midpoint $175k

Gross margin

72%

Investment to production

$28k

Dev: $12k for HubSpot/Salesforce CRM integrations, auth, billing, and webhook delivery. AI infra: $3k for API credits and a caching layer to

Probability of success

14%

P(reaching mid case in 12 months)

Expected take-home Y1

$-10244

probability-weighted, after investment

Go-to-market motion

Cold outbound email + LinkedIn to VP Sales and RevOps leaders at 10-200 person B2B SaaS companies → 20 demos/month → 3-4 closes/month at $250/mo avg.

Key risks

HubSpot and Salesforce are actively shipping native AI lead scoring in 2025-2026 - the standalone value prop erodes before you reach defensible scale
Scoring accuracy is immediately testable: if customers don't see measurable pipeline improvement within 60 days, churn is near-certain and RevOps communities will notice publicly
Without licensed third-party intent data (Bombora, G2 buyer intent), scores are limited to first-party signals, making the product structurally weaker than 6sense and MadKudu at comparable price points

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.