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CZC.cz: How Cross Sell in the Checkout Brings Better Turnover

CZC.cz is a strong player in the Czech e‑commerce electronics market, especially in the geek community.

CZC.cz: How Cross Sell in the Checkout Brings Better Turnover

+5.3 %

Revenue boost

+7 %

Conversion rate

+10 %

Number of transactions

Every geek in the Czech Republic knows CZC.cz. As a strong player in the market, we implemented Persoo into CZC.cz to get one level higher.

Where was the problem?

CZC.cz wanted to strengthen its position in e‑commerce, improve UX, and increase turnover.

How did it end up?

Website personalization has helped a lot. The homepage box now has a 95 % higher click‑through rate. Boxes with recommendations on product detail pages increase turnover by 5.1 %. The average order increased by 8.2 %. Cross-selling in the checkout improves turnover by 5.6 %, mainly due to the 6 % increase in the number of transactions. In total, turnover increased by 5.3 %.

Homepage solution

Persoo OFF

On the home page were best‑sellers set manually by e‑commerce maintainers. That’s fine, but what about visitors for whom this offer is irrelevant?

Persoo ON

Right after our analytics discovered the customer’s interest, we switched the best‑sellers box on the home page with a personalized recommendation. CTR increased to nearly double its previous state by 95 %.

Product detail page

Persoo OFF

Manually filled‑in recommendations were set to be displayed on the product details pages by e‑commerce maintainers.

Persoo ON

We placed two product feeds below product details: one for “others are also browsing,” which contains alternative products, and the other for “you might be interested,” which contains other types of products that are often purchased with the currently viewed product.

  • CTR of “others are also browsing” is 13.8 %
  • CTR of “you might be interested” is 4.5 %

Pre‑checkout

Persoo OFF

Only the manually set recommendation was placed in the pre‑checkout.

Persoo ON

We placed a feed of upsell products to the pre-checkout, which relates to what the customer added to the shopping cart. The relation between these products was set according to complementary and associated products.

  • CTR of recommendations increased to 3.5 %

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