Privacy-first analytics is rising as businesses and users become more concerned about data privacy. Unlike free tools like Google Analytics, which tracks data for ads, privacy-first solutions respect user data, building trust without tracking unnecessary details. This post will cover multiple niches in this area, market analysis, current players, and cost breakdowns for scaling your product to 100 users.
β€ Current Privacy-First Analytics Players
- Plausible.io: Open-source with $10K MRR.
- Fathom Analytics: $10K MRR.
- Simple Analytics: $7.8K MRR.
- Friendly Analytics: $6.2K MRR.
β€ New Entrants:
β€ Advantages:
- No cookies πͺ
- No ads π
- GDPR/CCPA compliant
- Lightweight, privacy-focused, and ethical π
β€ Key Features for Success:
- Shareable stats page to align with "Build in public" trends.
- Completely cookie-free and compliant with privacy laws.
- Lightweight script capturing analytics without IP storage.
β€ Niche Ideas for Privacy-First SaaS:
- Open-Source Model: Build and offer a commercial version of open-source analytics.
- Installed Version: Package privacy-first solutions for non-tech users.
- Privacy Analytics + Open Startups: Combine visitor data and sales stats on a public page.
- Data Anonymization: Use tools like AWS Macie to remove PII from data.
- Other Ideas: Privacy-first browsers, ad blockers, forms, and email trackers.
β€ Tech Implementation: Start small with a lightweight JavaScript script, API, and a database. Be mindful of user location data using IP geolocation APIs without storing IPs. As you scale, introduce queues like AWS SQS for better traffic handling.
β€ Marketing Strategy:
- Blog about your project and post on forums like Hackernews, Indiehackers, and Devto.
- Cold email agencies or use LinkedIn to pitch your solution.
- Target SEO keywords like "Google Analytics alternative" and build content around it.
β€ Cost Analysis π°: For 100 customers, handling 10K visits each, you can expect:
- Front-end JavaScript costs: ~$1.
- Backend API calls and DB updates: ~$2.
Total: Less than $5 per month.
β€ Conclusion:
Start lean, build user trust, and scale your Privacy-first analytics product. Optimize later as traffic grows and technical needs change. Privacy-first SaaS has a promising future as more users demand control over their data.