⚙️
Process
A/B/n Experimentation
Compare multiple price points simultaneously with real traffic data.
You can’t improve what you don’t measure. Run A/B/n price tests for 5–10 variations, track conversion rate and profit/visitor, and let the data pick your winner—no more guessing, no more gut decisions.
🧠 The Myth of the “Perfect Price”
Most founders believe there’s a “right” price that works forever—but every product, audience, and season shifts perception. A price that worked last quarter might underperform this week.
That’s why testing beats guessing: it adapts with your market and replaces opinion with evidence.
⚙️ The A/B/n Testing Framework for Shopify
- Select 1 Product, 5–10 Price Variations
Start with your hero SKU. Include charm endings like .00, .95, and .99.
- Split Traffic Evenly
Tools like Pricision automatically divide traffic among price versions while maintaining analytics integrity.
- Monitor for 5–10 Days
Focus on conversion rate, revenue/visitor, and profit/visitor until one price clearly outperforms.
📈 Real-World Result: $39.99 vs $45.00
A fashion store tested $39.99 vs $45.00 over 7 days. The higher price maintained the same conversion rate but generated 11% more total profit—proving that data, not discounts, drive success.
🚀 Benefits of Price Testing
Predictable Profitability
You’ll always know which prices perform best—before major sale events.
Faster Decisions
Stop endless debates about pricing. Let the data decide and scale quickly.
⚠️ Avoid These Testing Mistakes
- ❌ Testing too many products at once—start with one SKU.
- ❌ Ending tests early—wait until traffic stabilizes for reliable data.
- ❌ Focusing only on revenue—profit per visitor is the true metric.
Take the guesswork out of pricing. Let real data reveal your sweet spot and scale confidently into BFCM and beyond.
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