For low-traffic sites (<10,000 visitors/month): Use ExperimentHQ or GrowthBook with Bayesian statistics. Test bigger changes (not button colors), run tests longer (4-8 weeks), and focus on your highest-traffic pages. Don't expect statistical significance on small tweaks—it's mathematically impossible without massive sample sizes.
Who this is for
- Websites with 1,000-10,000 monthly visitors
- Early-stage startups and small businesses
- Niche B2B companies with limited traffic
Who this is NOT for
- Sites with under 500 monthly visitors (focus on growth first)
- High-traffic sites (see our general best practices)
The Hard Truth About Low-Traffic Testing
Let's be honest: A/B testing with low traffic is hard. Here's why:
- •To detect a 10% improvement with 95% confidence, you need ~30,000 visitors per variant
- •At 5,000 visitors/month, that's 12+ months for one test
- •Most "winners" on low traffic are false positives
This doesn't mean you can't test—it means you need different strategies.
Tool Comparison
| Tool | Price | Bayesian Stats | Min Traffic | Verdict |
|---|---|---|---|---|
| ExperimentHQ | Free - $29/mo | 500/mo | Best Overall | |
| VWO | $10,000+/yr | 1,000/mo | Overkill | |
| Convert | $699/mo | 1,000/mo | Good but expensive | |
| GrowthBook | Free (self-hosted) | 500/mo | Best open source |
5 Strategies for Low-Traffic A/B Testing
1. Test bigger changes
Small tweaks need huge sample sizes. Test dramatic differences (completely different headlines, layouts, or value props).
2. Use Bayesian statistics
Bayesian methods give you probability of winning, not just pass/fail. More useful for low-traffic decisions.
3. Focus on high-impact pages
Test your homepage or pricing page, not blog posts. Concentrate traffic where it matters.
4. Run longer tests
Accept that tests will take 4-8 weeks instead of 2. Patience beats false conclusions.
5. Combine with qualitative data
Use heatmaps, session recordings, and user interviews alongside A/B tests.
Our Recommendation
For most low-traffic sites: Use ExperimentHQ. Free tier, Bayesian statistics, and designed for sites that can't wait months for results.
For technical teams: GrowthBook is excellent and free if you self-host.