Method
Multi-Price A/B/n Testing
Compare 5–7 price points at the same time — not just two.
Goal
Reveal the True Winner
Identify the price with the highest profit per visitor.
Outcome
Faster, Clearer Insights
Get answers in days — with fewer experiments and higher accuracy.
Traditional A/B testing only compares two prices — slow, risky, and often inaccurate.
Modern Shopify brands use A/B/n price testing to compare 5–7 variations simultaneously, revealing the most profitable price point faster and with far more reliability.
🤔 Why A/B Testing Isn’t Enough Anymore
A/B testing forces you to choose between just two price points.
But what if the winning price is between them?
Or slightly above both?
Or several variations away from what you assumed?
A/B/n testing eliminates guesswork by showing you how multiple prices perform at the same time — giving you the full landscape of customer behavior.
🧠 The 3 Reasons Testing 5–7 Prices Wins Every Time
- You Discover the Sweet Spot You Didn’t Expect
Many winning prices sit between obvious choices.
A/B testing would miss them — A/B/n reveals them instantly.
- You Learn Faster With More Data
More variations mean more data points, which means faster statistical confidence — especially with higher traffic.
- You Stop Running Endless Experiments
Instead of testing 2 prices every 2 weeks, you test 7 prices in one go — far more efficient and far more profitable.
🧩 How to Run a 5–7 Price A/B/n Test (The Easy Way)
- Select a product with enough daily traffic.
- List 5–7 price options you believe might work.
- Add these variations inside Pricision.
- Run the experiment for 7–14 days.
- Compare profit per visitor — not just conversion rates.
Pricision rotates all price points evenly and tracks the real-time impact on CVR, AOV, and margin.
📈 Case Study: 7 Prices, 1 Clear Winner
A beauty brand tested 7 price points between $19 and $29.
- Conversions stayed stable across multiple options.
- AOV increased steadily as prices rose.
- $27.99 generated 21% more profit per visitor than the original price.
Without testing multiple variations, this sweet spot would’ve never been discovered.
⚠️ Mistakes to Avoid When Testing 5–7 Prices
- ❌ Running only 2–3 variations — not enough range.
- ❌ Changing product pages during the experiment.
- ❌ Ending tests early before confidence builds.
- ❌ Focusing on revenue instead of profit per visitor.
The brands that grow fastest don’t stop at A/B tests — they test entire price landscapes.
Pricision makes multi-price testing automated, accurate, and effortless.
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