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Personalized Product Recommendations

Name: REES46 Personalized Product Recommendations
Availability: InStock
Rating: 5 (417 reviews)

Your store automatically adapts to each client, offering products that precisely suit his or her requirements. It boosts conversion into sales by at least 18%.

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Ready templates

Choose recommendation algorithms you need, place it on any pages. Control the efficiency of blocks in the dashboard.

It is easy to create your own algorithm

It is not necessary to use only prebuilt scenarios. Choose which products should be shown to each segment, manually select corresponding filters and publish your recommendations on any pages of the site.

Create logic

Set working principles for the block in the visual editor, which is not harder than drawing block diagrams on a white board.

Adjust output

Choose how many products will be displayed in the block, enable filters — by brand, by category, by product type and scores of other conditions.

Enable sorting

Decide on the order of display of personal recommendations within the block.

Performance approach

You will be able to test various scenarios and get comprehensive and transparent reports on the tool performance.

Monitor block KPIs

You will see comprehensive statistics: number of views, clicks, purchases per block, as well as average check and returns from sales.

Launch A/B tests

It can be easily done without developers: you just click on the button, set conditions, monitor KPIs.

Keep the best version

You’ll see comprehensive test results and find out which scenario works better.

Count income

Evaluate total returns brought by the tool in any given period.

Niche-specific customization

Owner of 40 cats does not need dog food. Show your guests what they are ready to buy: sector-specific personalization will take care of that by automatically filtering out unsuitable items.

Gender

Age

Shoe size

Clothing size

Skin type

Hair type

Allergy

Loved brands

Pets

Kids

Car model

Average income

Three levels of personalization

Use personalization levels to take into account all peculiarities of your business and to make even more sales.

Machine

Basing on Big Data analysis a software algorithm selects suitable products for each buyer, automatically increasing his or her cart value and the average check.

Niche-specific

Recommendation blocks are adapted to specific features of each economic niche: peculiarities of products and buyers are taken into account. The store recommends products of suitable size, color, and model.

Individual

You set recommendation display conditions, test various assumptions, keep the most efficient scenarios. No programmers or extensive development are needed for the tests — their launch takes just a minute.