Create recommendations, edit and personalize them.

Recommendation campaigns consist essentially of the following components;

  1. Widget Type :  it points that campaign module type selection.
  2. Widget Page : it points that positioned recommendation widget’s page type information.
  3. Widget Style : it allows that customizable widget style type selection.
  4. Widget Title :  it is directly placed in recommendation widget. it is able to customize.
  5. Recommendation Algorithms, Criteria and Excludes :
    • Recommendation Algorithms
      • Intelligent :  Campaign algorithms are listed via Intelligent More information
      • Category :  if campaign aims to working with spesific categories , category info must be placed with Algorithm Type and Time Frame via Category.
      • Product : Provides product add via product code or name.
      • Brand : Provides product add via brand.
    • Criteria:   Criteria is allows to collecting products through product attributes.
    • Excludes: Exclude is allows to filtering recommended products through product attributes.
  6. Shuffle Items : it allows to randomize product order.
  7. Algorithm Frequency :Specify the algorithm frequency of the algorithm.
  8. Number of products per algorithm : Campaigns can be fed with multiple algorithms.
  9. Criteria : Criteria is allows to collecting products through product attributes. Criteria options are listed as below:
    • Price Range :Determine from which price range the product list will come from.
    • Category :Determine from which categories are served in recommended products
    • Brand :Determine from which brands are served in recommended products
    • Label :Determine from which labels are served in recommended products.
    • Gender :Determine from which gender is served in recommended products.
    • Size :Determine from which sizes are served in recommend products.
    • Custom :Provide a product according to a desired custom parameter.
  10. Exclude : Exclude is allows to filtering recommended products through product attributes.
    • Price Range : Exclude some products within custom price range filter definition from recommended product list.
    • Category : Exclude some products within custom category filter definition from recommended product list.
    • Product : Exclude single or multiple products within custom product definition from recommended products.
    • Brand : Exclude products within custom brand filter definition from recommended products.
    • Label : Exclude products within custom label filter definition from recommended products.
    • Gender : Exclude products within custom gender filter definition from recommended products.
    • Size : Exclude products within custom size filter definition from recommended products.
    • Custom :Exclude products within custom “custom” filter definition from recommended products.
  11. Campaign Subject : This campaign subject is “Home Page – Smart Widget”. Visitor can’t see this value. It is only used to point campaign name.
  12. Timing : it provides that campaign working period.
  13. Device Types :
    • Desktop : it provides that campign can only be working just for Desktop device.
    • Mobile Web : it provides that campign can only be working just for Desktop device.
    • Android : it provides that campign can only be working just for Desktop device.
    • iOS : it provides that campign can only be working just for Desktop device.
  14. Publish Recommendation Widget :
    • Target Div Selector :Position your widget’s location with css tags on the page.
    • Go Test : it provides to convert campaign status from live to test. (You could activate it via this plugin)
    • Go Live : it provides to convert campaign status from live to test.

Intelligent algorithms

Segmentify recommendation engine is working with Item-based recommendation perspective in realtime , it means when new visitor trig standart ecommerce event(view to product , add to basket , purchase to product(s)) , recommendation contents are calculated simultaneously by recommendation engine in realtime. Segmentify recommendation engine also provide content , relational and time based working algorithms.

Segmentify algorithms are listed as belows :

ALGORITHM NAMEALGORITHM DESCRIPTIONSUGGESTED PAGE
All ProductsAdds the topviews , topsellers or New Arrivals products with some selectable time periodCategory , Search , 404  , Home
All Child Category ProductsRecommendation products are served with child level for all categoriesCategory
All Parent Category ProductsRecommendation products are served with parent level for all categoriesCategory
Alternative ProductsAdds the viewed together and similar products to the campaign.Product
Brand ProductsRecommend brands top-selling products.Brand , Product
Bundle ProductsAdds the combine products to the campaign.Product
Discounted ProductsAdds the discounted products to the campaign.Home , 404 , Search
Last Visited (Product)Easily navigate your customers to last products they visit and don’t lose potential customers because they can’t find back the products they checked.Home , 404 , Search
Purchased Together (Product)Products purchased together are automatically calculated by Segmentify engine and you can offer best products at cart and checkout success pages to capture your customers’ attention.Product , Basket
Rockstar ProductsThe top-selling product based on view rate.Home , 404 , Search
Shining StarsProducts from a weekly rising trend.Home , 404 , Search,
Smart OffersSegmentify Engine automatically matches best products for every visitor by using products and product categories visitors are interested in with state-of-art Artificial Intelligence algorithms.Home , 404 , Search
Trending ProductsProducts with the greatest increase in revenue compared to the previous week.Home , 404 , Search
Purchased Together (Basket)Adds the other products viewed with the current basket.Product , Basket
Viewed Together (Basket)Adds the other products purchased with the current basket.Basket