PinStats
What this SaaS is
Analyzes Pinterest pin statistics and lets users sort their pins.
- Pinterest pin analytics
- Pin sorting
- Affiliate and partner program
Numbers that matter
Tech stack
Score breakdown
How the composite score above splits across seven independent signals. Each axis is graded 0-100. Hover for details.
Payback at the stated margin, asking multiple vs the category median, and profit margin. The heaviest axis: what you pay for what it earns.
Revenue trend over the last ~90 days from our daily snapshots (30-day figure when history is short), capped so one spike can't dominate, minus a penalty for erratic revenue.
Paying customers, revenue scale and traffic (log scales), plus live-site health (reachable pricing page, core pages, maintained site).
AI-disruption risk, organic search presence, recurring B2B revenue; penalties for thin AI wrappers and no-code lock-in.
How turnkey the takeover is: diversity of marketing channels, Merchant-of-Record status, team.
Higher = safer. Business age, breadth of the customer base (concentration risk), recurring vs one-off revenue, known payment provider.
Structured market read across TAM, saturation, 3-year trend, and hype cycle, blended with our category momentum signal.
Market read
- TAMmid
The market for Pinterest analytics tools is moderately sized with a specific focus on B2C.
- Saturationmature
Many similar tools exist, indicating a mature market with established competitors.
- 3y trendgrowing
Interest in social media analytics has been increasing, suggesting a growing trend.
- AI disruptionwrapper killable
The product can be easily replicated by solo developers, posing a high risk of disruption.
- Hype cyclemainstream
Analytics tools for social media are widely used and accepted, placing them in the mainstream phase.
Run the numbers
Before you make an offer
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