Website personalisation

The site automatically adjusts to client interests

Smart widgets for growing conversions and your client database
Increases website revenue by 5% per month on account of recommendations
Personalizes on-site deals based on client segments using dynamic in-built blocks
Increases website conversions by 20% on account of recommendations in categories, products, searches, and 404 page
Increase on-site revenue by 40% on account of related recommendations in the product card
Increases on-site revenue by 12% thanks to pop-ups
Uses Mindbox recommendation widgets
Increases on-site conversion thanks to personal machine learning recommendations on the main page
3 steps to launch
Integration
Integration with client data platform for constructing client profiles
On-site code
The on-site code allows to bring up personalized content based on a clients profile
150 templates
150 templates will help to quickly launch on-site mechanics
Personalized product recommendations
With the use of machine learning
  • Real-time personal recommendations
  • Related items in cart
  • Popular products
  • Related products in the product card
  • Similar goods in the product card “Not in stock”
Real-time personal recommendations
Related items in cart
Popular products
Related products in the product card
Similar goods in the product card “Not in stock”
View recommendation list
Popular products based on orders
Most ordered products. Can be filtered by any attribute
Popular products based on views
Most viewed products on the site. Can be filtered by any product attribute
Popular categories
The most popular or most viewed product categories. Can be filtered by any attribute
New and popular
The most ordered and viewed products amongst new ones on the site
Similar products
Most closely related products based on different attributes
Bought together with this item
Products that are frequently purchased in one check
Manually category matching
Visual recommendation editor based on category and product attribute relevance
Personal recommendations
Personal recommendations, calculated based on consumer behaviour and similar consumers, including anonymous ones
Similar products in stock (analogues)
In stock products that are most closely related to one another based on different attributes
Frequently bought with this product in stock
Products that are most frequently purchased in one check, in stock Products of the same brand (or other attributes)
Products of the same brand (or another factor)
Similar products of the same brand / category / material / color and any customized attribute
Related products in stock
Products that suit the main one best (as a rule, these items are cheaper than the main one, which are frequently bought together). All products in stock

On-site Pop-ups

Required mechanics for achieving goals
Increase conversions and revenue
Data collection
Timers
Social proof
Delivery terms
  • Data collection
  • Timers
  • Social proof
  • Delivery terms
Database collection: email / телефон
Data collection
Reactivation
Abandoned cart
Subscription to price decrease
Subscription to product availability
  • Data collection
  • Reactivation
  • Abandoned cart
  • Subscription to price decrease
  • Subscription to product availability
Question and answer collection
NPS-опросы
Website convenience rating
Order review collection
Product review collection
Questionnaire
  • NPS-polls
  • Website convenience rating
  • Order review collection
  • Product review collection
  • Questionnaire
Communication gamification
Product selection consultation
Gift selection
Wheel of fortune
Slot machine
  • Product selection consultation
  • Gift selection
  • Wheel of fortune
  • Slot machine

Dynamic on-site content

Website personalization with advanced conditions
By RFM segments, by product preferences, by visitor activity.
What else is there in the product?
Instructions on how to set everything up and launch mechanics
AB-tests, control groups, AB-test reports
The ability to combine machine learning and expert recommendations from the client.
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