If you run an online store, you’ve probably had this thought: “Should I raise my prices… or will I scare people away?” Many store owners guess, copy competitors, or pick a number that just “feels right.” That guesswork often means leaving profit on the table.

You don’t need to be a data nerd to fix this. With a simple A/B test, you can let your customers quietly “vote” with their wallets on which price works best. In this guide, we’ll walk through a safe, no-jargon way to test prices on a few products at a time, avoid upsetting loyal buyers, and read the results with confidence.

What A/B price testing actually is (in plain English)

A/B testing sounds technical, but the idea is simple: you compare two versions of something to see which performs better. For pricing, that usually means:

• Price A: your current price
• Price B: a new price you want to test

You then show one price to some shoppers and the other price to a different, similar group of shoppers. After a set period, you compare the results. Did the higher price hurt sales? Did the lower price bring in more buyers but less profit per sale? The winner is the price that gives you the most overall profit with acceptable sales volume.

A/B testing doesn’t ask people what they’d pay. It watches what they actually do with real buying decisions.

Step 1: Choose the right products to test first

Not every product is a good candidate for your first price test. Start with items where a small change could have a big impact, but the risk is low if you get it slightly wrong.

• Good candidates: bestsellers with steady traffic, mid-priced items, products where your costs recently changed.
• Skip for now: very low-traffic items (you won’t get enough data), ultra-premium products where brand image is delicate, or items with complex discounts attached.

Product type	Is it good for early testing?
Bestseller T-shirt that sells daily	Yes – you’ll get fast results and learn quickly
Slow-moving seasonal decor	No – testing will take too long to be useful
Flagship high-end item	Maybe later – protect your brand while you learn the basics
New product with no history	No – get a baseline price first, test later

Pick 1–3 products to start. That’s enough to learn the process without overwhelming yourself.

Step 2: Pick your two prices (A and B)

Next, you’ll choose the two prices to compare. Your current price is usually Price A. For Price B, you can go a little higher or a little lower, depending on your goal.

How big of a change should you test?

Avoid tiny changes like $19.99 vs $20.09—customers won’t notice, and you’ll collect useless data. At the same time, giant jumps (like $20 to $40) can be too risky.

• For mild tests, try a 5–10% change (for example, $20 → $22).
• For bolder tests, try up to 20% if you’re unsure your prices cover your costs.

Keep the rest of the offer the same: same product photos, descriptions, shipping rules, and discounts. The only difference between A and B should be the price, so you know what caused any change in behavior.

Step 3: Decide how you’ll run the test

This is the part that worries people: “Won’t customers see different prices and get mad?” The key is to test in a way that’s controlled and fair.

Option 1: Built-in A/B tools or apps (recommended)

Some ecommerce platforms have built-in testing or apps that handle price experiments automatically. They randomly show different versions to visitors and track the results.

• On platforms like Shopify, you can use testing apps from their app store that let you set Price A and Price B and choose how long to run the test.
• Some WordPress + WooCommerce setups can use A/B plugins that handle price variations as part of product experiments.

These tools are ideal because they split traffic fairly and log data for you. Check your platform’s documentation or app marketplace and search for “A/B testing” or “product price testing.”

Option 2: Simple time-based test (manual but easy)

If you don’t have a testing tool, you can still learn a lot with a simple time-based test:

1. Run Price A (your current price) for a set period, such as 2 weeks.
2. Record how many visitors saw the product and how many bought it.
3. Then switch to Price B for the same length of time with no other major changes.
4. Record the same data.
5. Compare the results.

This approach is less perfect because traffic can naturally be higher or lower from week to week. But it’s still far better than guessing.

Step 4: Protect your loyal customers

You don’t want regulars to feel like they’re being played. Here are ways to keep things fair and avoid frustration.

• Avoid changing prices for logged-in subscribers or VIPs. Keep consistent pricing or add extra value for them.
• Don’t test prices on orders that used a personal coupon code. They already got a special deal.
• Be consistent within a session. If someone adds a product at one price, don’t raise that price in their cart later during the same visit.
• Limit how often you change prices. Constant switching can feel unreliable and hurt trust.

Most built-in A/B tools will keep a visitor on the same version during a session. If you’re doing manual tests, keep each price stable for your chosen test period instead of flipping back and forth every day.

Step 5: Track the right numbers (without getting lost)

To know which price wins, you need to track a few simple metrics. Your ecommerce platform should provide most of this in its dashboard or reports.

Metric	What it means
Visitors	How many people viewed the product in the test period
Orders	How many purchases of that product were made
Conversion rate	Orders ÷ Visitors (the percentage of visitors who bought)
Revenue	Total money collected from that product in the period
Profit (if possible)	Revenue minus your product and shipping costs

At minimum, compare conversion rate and revenue for each price. If you know your exact costs, profit is even better.

How do I see visitors and orders for one product?

In many platforms, you can open a specific product and view its analytics or performance tab. Look for numbers like “Sessions”, “Product views”, or “Unique visitors”, and “Units sold” or “Orders”. If your platform doesn’t show this clearly, you can use your overall analytics (like Google Analytics) and filter by product page URL, then compare that to orders in your order history for the same dates.

Step 6: Read the results like a pro (without being one)

Once your test period ends, it’s time to compare Price A and Price B. Here’s a simple way to make a smart call.

1. Compare conversion rate: Which price turned more visitors into buyers?
2. Compare total revenue: Which price brought in more dollars overall?
3. If you know your costs, compare profit: Which left more money in your pocket?

Sometimes, the higher price will lower your conversion rate but still increase your total profit. Other times, a small price drop can raise conversion so much that you make more money overall.

Don’t chase the highest conversion rate or the highest price by itself. Aim for the best balance of sales and profit for your business.

Pricing coach advice

How long should you run a test?

Avoid ending tests too early just because one price looks better after a day or two. As a rule of thumb:

• Run the test for at least 1–2 full weeks so you cover weekdays and weekends.
• Aim for at least 100–200 visitors per price if your traffic allows it. More is better.

If your store has very low traffic, focus on your highest-traffic products and be patient. You can still learn useful lessons over time.

Step 7: Roll out the winner and repeat

Once you trust your results, make the winning price your new regular price. Then, give it some time to settle and make sure sales look healthy in your normal reports.

• Note what you changed and when in a simple document or spreadsheet.
• Record your results so you can see patterns over time.
• Move on to another product and repeat the same process.

Over the course of a few months, this slow and steady approach can quietly raise your overall profit without any big, risky moves. Think of it as tuning your store, one product at a time.

Can I test more than two prices at once?

Technically yes, with more advanced tools you can test multiple prices (A/B/C tests). But each extra version needs more visitors and makes your results harder to read. For most small online stores, sticking to two prices at a time is simpler and gets you clear, confident answers faster.

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A simple example: putting it all together

Imagine you sell a popular coffee mug that’s currently $18. You suspect you might be able to charge more without hurting sales.

1. You choose the mug as a test product.
2. You set Price A as $18 and Price B as $20 (about an 11% increase).
3. You run an A/B test for 2 weeks using an app that splits traffic 50/50.
4. After 2 weeks, you check the numbers.

Here’s what you might see:

Price A ($18)	Price B ($20)
Visitors: 300	Visitors: 310
Orders: 45	Orders: 40
Conversion: 15%	Conversion: 12.9%
Revenue: $810	Revenue: $800

Even though the $20 price had a slightly lower conversion rate, the $18 version actually made a bit more revenue in this example. Unless your costs favor one price strongly, you might decide to keep $18—or run another test at $19 as a middle ground.

Make pricing improvements part of your routine

You don’t have to overhaul your whole catalog. Start with a handful of products, run simple tests, and build your confidence. Over time, you’ll stop guessing and start treating prices as something you improve on purpose.

If your store runs on reliable hosting, like a solid Webasen plan or another trusted provider, your site analytics will be more accurate and tests will run smoothly—no surprise slowdowns during experiments.

Pick one product, choose a second price, and plan a two-week test. In a couple of weeks, you’ll have something far more powerful than a gut feeling: real customer behavior guiding your pricing decisions.