Method
A/B/n Testing
Test 3–10 pricing variations instead of just two.
Goal
Find Your Profit Sweet Spot
Identify the perfect balance of conversion, AOV, and margin.
Outcome
Fast, Accurate Insights
Get statistically reliable results in days — not months.
A/B/n testing lets Shopify founders test multiple price points simultaneously, revealing the exact number that gives the highest profit per visitor. PricisionApp makes this fully automated — no manual tracking or theme editing required.
🤔 Why A/B/n Testing Is Better Than A/B Testing
Traditional A/B testing compares two prices — good, but slow.
A/B/n testing lets you compare multiple price points at once, such as $19, $22, $25, $27, and $29.
This means you get answers faster, avoid guesswork, and find your true profit-maximizing price with fewer tests.
🧠 The Three Metrics That Matter Most
1. Conversion Rate
Shows how effectively each price turns visitors into buyers.
2. Average Order Value (AOV)
Higher prices boost AOV — but only if conversion stays stable.
3. Profit per Visitor
Your ultimate metric — combines margin + AOV + conversion into one powerful KPI.
🧩 How to Run an A/B/n Price Test on Shopify (The Easy Way)
- Install PricisionApp and add the Pricision Price Block to your product page.
- In the dashboard, click Create New Experiment.
- Select your product and add your price variations (5–10 options recommended).
- Enter COGS to calculate profit per visitor (optional but powerful).
- Set experiment duration — typically 7–14 days.
- Start the experiment and let PricisionApp automatically rotate prices.
No spreadsheets. No manual edits. No theme headaches.
Pricision handles everything behind the scenes.
📈 Real Example: Testing 6 Prices at Once
A home décor brand tested prices from $19.99 to $34.99 across 6 variations.
- Conversions stayed stable across all prices
- AOV grew significantly at higher price points
- $29.99 delivered 22% more profit per visitor than the original $19.99
Without A/B/n testing, they would’ve never discovered this hidden opportunity.
⚠️ Mistakes to Avoid When A/B/n Testing Prices
- ❌ Testing too few variations — you miss the real sweet spot.
- ❌ Changing product pages during a test — ruins data integrity.
- ❌ Ending tests early — you need 7+ days for reliable insights.
- ❌ Judging solely by revenue — focus on profit per visitor.
A/B/n testing is the fastest, simplest, and most accurate way to discover the price customers actually prefer—and the one that grows your profit the most.
PricisionApp makes it effortless.
Start Free Trial →
