Use Cases

A price test lets you show different prices to different visitors and measure the impact on revenue. Instead of guessing what your customers will pay, you get real data from real shopping behavior.

This guide covers the most common scenarios where price testing can help, along with practical guidance for each.

Raise prices with confidence

Most merchants know they could probably charge more for some products, but the fear of losing conversions holds them back. Price testing removes that fear by giving you hard data.

The problem: You haven't changed prices in months (or longer), costs have gone up, and you suspect you're leaving margin on the table. But raising prices feels risky because you don't know how customers will react.

How price testing helps: Test a price increase on a portion of your traffic. If conversion holds, you know customers will absorb the increase and you can keep the higher price. If conversion drops, you've found the ceiling and can price just below it.

Example: Your hero product has been $39.99 since launch. Your COGS have increased 15% in the last year. Test $42.99 or $44.99 on a portion of traffic. If conversion doesn't drop significantly, you've just recovered your margin pressure without guessing.

Price increases often compound. A brand that runs three consecutive tests (+8%, +6%, +5%) and sees no conversion impact at any step has found a meaningfully better price without ever hitting resistance. Each month you're underpriced is profit you'll never recover.

Respond to cost pressures

Tariffs, supplier hikes, shipping cost increases, and raw material fluctuations can squeeze your margins overnight. Price testing turns reactive panic into a measured response.

The problem: Your costs just went up and you need to pass some of that increase to customers. But you don't know how much of a price increase your customers will tolerate before they stop buying.

How price testing helps: Instead of guessing where the breaking point is, test the new price on a portion of your traffic first. You'll see exactly how your customers respond before committing to the change storewide.

Example: A new tariff adds $4 to your cost per unit on a $34.99 product. You need to raise the price, but by how much? Test $37.99 and $39.99 simultaneously. The data tells you whether customers absorb the full increase or whether you need to split the hit between margin and price.

Launch new products at the right price

The price you launch at sets customer expectations and anchors the perceived value of the product for its entire lifecycle. Getting it wrong can mean months of suboptimal margins before you have enough data to course-correct.

The problem: You're launching a new product and need to set a price, but you have no sales data to guide you. Competitor pricing, gut feel, and cost-plus calculations can only get you so far.

How price testing helps: Test two or three price points during the launch window. Within a few weeks, you'll know which price maximizes revenue per visitor, and you can lock it in before customer price expectations solidify.

Example: You're launching a premium version of your bestselling product. You think the right price is somewhere between $59 and $79. Test $59.99, $69.99, and $74.99 during the first few weeks of launch. The data tells you which price point captures the most revenue without suppressing demand.

Find out if you're priced correctly

Many merchants set prices once and rarely revisit them. But your market, your costs, and your customers' willingness to pay all change over time. Price testing lets you audit your existing pricing without risk.

The problem: You set your prices based on competitor research, a cost-plus formula, or instinct when you launched. You've never validated whether those prices are actually optimal. You could be overpriced (losing conversions you'd otherwise capture) or underpriced (giving away margin for no reason).

How price testing helps: Pick your top-selling products and test small price adjustments (5-10% up or down). The results tell you whether your current prices are already optimal or whether there's room to improve.

Example: Your top 5 products haven't had a price change in over a year. Test each one with a modest 8% increase. If three of the five show no conversion impact, you've just found free margin on your highest-volume products.

Test psychological price points

Small price differences can have outsized effects on conversion. The difference between $49.99 and $50.00 is one cent, but it can meaningfully change how customers perceive the price.

The problem: You're not sure whether your pricing is hitting the right psychological anchors. Should it end in .99? Is a round number better for your brand? Does crossing a threshold like $50 or $100 actually hurt conversion?

How price testing helps: Test prices on either side of a psychological threshold and measure the impact. The data shows you whether the threshold matters for your specific customers and products.

Example: Your product is currently $48.99. Test $50.00, $49.99, and $47.00 to understand whether crossing the $50 threshold changes behavior, or whether your customers don't care about a dollar or two.

Test compare-at pricing strategies

Shoplift can update both the sale price and the compare-at price (the "was" price shown with a strikethrough), letting you test discount framing and perceived value.

The problem: You're running a promotion and want to know whether a bigger perceived discount drives more purchases, even if the actual sale price is the same.

How price testing helps: Test different compare-at prices to see how the perceived discount influences buying behavior.

Example: Your product sells at $29.99. Test two framings: one with a $39.99 compare-at price (25% off) and one with a $49.99 compare-at price (40% off). The sale price stays the same in both variants, but the perceived deal is different.