TL;DR
For low-traffic Shopify stores (<5,000 visitors/month): Use ExperimentHQ with Shopify revenue tracking and Bayesian statistics. Test bigger changes (product page layout, not button colors), run tests 4-6 weeks minimum, and focus on high-traffic product pages. Track revenue per visitor, not just conversion rate.
The Low-Traffic Reality
With 2,000 monthly visitors and 2% conversion rate:
- • 40 conversions/month — not enough for statistical significance
- • Need 6-8 weeks minimum to detect 20% improvement
- • Can't test small tweaks — only dramatic changes are detectable
- • Revenue tracking matters more — AOV variance is high
Tool Comparison
| Tool | Price | Revenue Tracking | Bayesian | Verdict |
|---|---|---|---|---|
| ExperimentHQ | $29/mo | Best Overall | ||
| Nelio A/B Testing | $29/mo | — | Good alternative | |
| VWO | $10,000+/yr | Overkill |
High-Impact Tests for Low-Traffic Stores
| Test | Duration | Expected Uplift |
|---|---|---|
| Test product page layout | 4-6 weeks | 10-20% |
| Test checkout trust badges | 3-4 weeks | 5-15% |
| Test product image count | 4-6 weeks | 5-10% |
| Test shipping threshold messaging | 3-4 weeks | 10-25% |
Our Recommendation
For low-traffic Shopify: ExperimentHQ with automatic Shopify revenue tracking. $29/month, Bayesian statistics, designed for stores that can't wait 6 months for results.