A/B testing
Ecommerce Conversion Optimisation: RPU as Your Profit Driver. System, Not Gut Feeling
It means replacing “gut feeling” with measurable facts so you grow faster, step by step.
A/B testing
How dynamic pricing affects conversion rates in ecommerce A/B tests: learn how dynamic prices can drive growth and revenue.

Dynamic pricing is the taboo topic of ecommerce. Everyone talks about it, nobody admits to it. Amazon does it. Airlines do it. Hotels do it. But the small shop owner? They are afraid of putting customers off.
Dynamic pricing strategies produce mixed results. Done right, they raise revenue and margin. Done wrong, they damage brand image and customer trust. This article shows what works, and what does not.
Dynamic pricing means the price changes based on factors such as demand, stock, customer behaviour, time of day and competition.
Examples:
The technology is simple. The ethics and the strategy are complex.
Prices change by time of day or day of the week. “Happy hour” in the evening. “Monday deals”.
A fashion shop offered 15% off selected categories on Mondays. Monday revenue rose by 40%, with no loss on other days.
Prices rise as stock falls. Or drop when overstock looms.
An electronics shop cut prices by 10% on products with high stock levels. Sales velocity doubled. Stock turnover improved from 4 to 8 times a year.
Different prices for different customer groups. Not discriminatory, differentiated.
Examples:
A supplement shop gave regular customers a permanent 10% discount. The retention rate rose by 25%. Lifetime value rose by 40%.
Prices change based on what is in the cart. “Buy 3, pay for 2.” “10% off orders over 100 euros.”
A beauty shop introduced “Free shipping + 5% off orders over 75 euros”. Average order value rose from 58 to 82 euros.
A customer sees 79 euros. Their friend sees 89 euros. Same page, same time. That creates distrust and anger.
The customer adds a product for 79 euros to the cart. In checkout it suddenly says 89 euros. Abandoned. For good.
A product costs 79 today, 99 tomorrow, 69 the day after. Customers wait for the “right” moment. Revenue falls.
“You see this price because you are browsing on a Mac.” That is not just unethical. In many countries it is illegal.
Germany and the EU have clear rules:
If you use dynamic pricing: document everything. Be transparent. And consult a lawyer.
A fashion shop with 500 products tested dynamic pricing in one category: accessories.
10% more expensive in the morning, 10% cheaper in the evening. Result: revenue moved from morning to evening. Total revenue: unchanged. Test dropped.
Above 50 units: normal price. 20–50 units: +5%. Below 20 units: +10%. Result: products with low stock sold more slowly. Customers waited for restocks. Test dropped.
“Accessory at half price if you already have 2 items in your cart.” Result: accessories per order rose by 65%. Total revenue rose by 12%. Test won and rolled out.
Lesson: not every dynamic pricing strategy works. Test small. Measure precisely. Scale only what wins.
The technology has become simpler:
Shopify: Apps such as “Bold Custom Pricing” or “Wholesale Pricing Now” enable customer-based prices. “Automatic Discounts” handle cart-based discounts.
WooCommerce: Plugins such as “Dynamic Pricing” or “Prices by User Role” for segment-based prices.
Magento: Native support for customer group prices and promotions.
Custom: For complex strategies you need a developer who adjusts prices dynamically via APIs.
Important: always test in a staging environment. Misconfigured dynamic prices can cause chaos fast.
Static prices are simple: a product always costs the same. Dynamic prices are complex: the price changes. But complexity brings potential.
Static prices:
Dynamic prices:
The decision depends on your industry and your resources. A fashion shop with fast turnover benefits more from dynamic pricing than a furniture shop with stable prices.
Dynamic pricing is not right for every shop. It makes sense if:
High turnover: Your products change quickly (fashion, electronics). For furniture or supplements with a stable range, the benefit is smaller.
Price sensitivity: Your customers react to price changes. With luxury goods, where price signals quality, dynamic pricing can backfire.
Technical resources: You have a development team or an agency that can implement and monitor dynamic pricing.
Data: You have enough data to build sensible pricing rules. Without data, dynamic pricing is just guessing.
Yes, within certain limits. Transparent discounts for regular customers or quantities are legal. Discriminatory prices are illegal.
No. Start with one category. Test for 3 months. Measure precisely.
Be transparent. “As a regular customer, you get 10% off.” Transparency builds trust.
Yes. If customers feel cheated, it damages the brand in the long run. Dynamic pricing must never look as if you are trying to trick customers.
For more on this, see the Academy track A/B Testing Mastery ↗.
A/B testing
It means replacing “gut feeling” with measurable facts so you grow faster, step by step.
A/B testing
Ecommerce personalisation means tailoring content, product suggestions and offers to an individual visitor’s behaviour. Not to assumptions, not to demographic pigeonholes.
A/B testing
Google Analytics shows you what happens. Heatmaps show you how it happens.
In the Dropoff Analysis you see where your shop loses buyers. Afterwards you know where the first step pays off.