Push Recommendation Edit Page Overview

 Create, edit and personalize push recommendations. 

Recommendation campaigns consist essentially of the following components;

  1. Campaign Subject: You can write a subject to the campaign which visitors can’t see. It is Only used to point the campaign name, it is mostly similar to the algorithm of the campaign.
  2. Push Title: The title you choose for your visitors to see.
  3. Recommendation Algorithms, Criteria and Excludes

Recommendation Algorithms

  • Intelligent: You can add Segmentify intelligent campaign algorithms to your recommendation.
  • Category: Enables you to add categorical product to your recommendation.
  • Product: Enables you to add a product to your recommendation with its code or name.
  • Brand: Enables you to add a product with its brand.

Criteria: Applies the criteria filter to the product group.

Excludes: Excludes products of the specified type.

  1. Algorithm Frequency: Specifies the frequency of the algorithm.
  2. Criteria: Applies the criteria filter to the product group.
    • Price Range: Determine from which price range the recommended products will come from.
    • Category: Determine from which categories the recommended products will come from.
    • Brand: Determine from which brands the recommended products will come from.
    • Label: Determine from which labels the recommended products will come from.
    • Gender: Determine from which gender the recommended products will come from.
    • Size: Determine from which sizes the recommended products will come from.
    • Stock: You can include products to recommended product list based on their stock counts. Ex: include product if its stock count is 5 or more.
    • Custom: You can provide a product according to a desired custom parameter.
  3. Exclude: Excludes products of the specified type.
    • Price Range: You can exclude products from recommended product list based on custom price range.
    • Category: You can exclude products from recommended product list based on category.
    • Product: You can exclude single or multiple products from recommended product list by filtering.
    • Brand: You can exclude products from recommended product list based on brand.
    • Label: You can exclude products from recommended product list based on label.
    • Gender: You can exclude products from recommended product list based on gender.
    • Size: You can exclude products from recommended product list based on size.
    • Stock: You can exclude products from recommended product list based on their stock counts. Ex: exclude product if its stock count is 1 or less
    • Custom: You can exclude products from recommended product list based on custom filtering.
  4. Scheduling: The field where the campaign’s working hours are arranged. More information
  5. Target Audience: The field where the target audience of the campaign is identified. More information

Scheduling

The field where the campaign’s working hours are arranged.

  1. Once: Runs the campaign at the appointed time. For example, it can be set to work on February 14, at 13 o’clock.
  2. Periodic: Runs the campaign at specific intervals. For example, each Monday at 16 o’clock.

Target Audience

The field where the target audience of the campaign is identified.

  1. Visitor Segment: The field where you can select your target segment. Algorithm can run for the specified segment or for users outside that segment based on your preferences.
  2. Visitor Type: Determine type of your target visitor. You can select from 3 different types; New, Registered or Also you can select to exclude the type of visitor of your choice.

Intelligent algorithms

Segmentify recommendation engine is working with Item-based recommendation perspective in real time. It means when a new visitor triggers standard ecommerce event (view a product, add to basket, purchase product(s)), recommendation contents are calculated simultaneously by recommendation engine in real time. Segmentify recommendation engine also provides content, relation and time based working algorithms.

Segmentify algorithms are listed as below :

ALGORITHM NAMEALGORITHM DESCRIPTIONSUGGESTED PAGE
All ProductsAdds the “Top-viewed”, “Top-sellers” or “New Arrivals” products with selectable frequency and number of products per algorithm.Category, Search, 404, Home
All Child Category ProductsA child category is the sub-category under the broader category. Recommendation products are coming from the child levels of all categories.Category
All Parent Category ProductsRecommendation products are coming from the parent levels of all categories.Category
Alternative ProductsRecommends the “Viewed Together” and “Similar Products” to the campaign.Product
Brand ProductsRecommends the brand’s top-selling products.Brand, Product
Bundle ProductsRecommends the combined products of the product customer is visiting.Product
Discounted ProductsRecommends the discounted products in the campaign.Home, 404, Search
Last Visited (Product)Recommends the last products your customers visited within a session.Home, 404, Search
Purchased Together (Product)Recommends other products that were purchased with the product your customer is visiting.Product
Rockstar ProductsRecommends the top-selling products based on their view rate.Home, 404, Search
Shining StarsRecommends the products that are in a rising trend based on their sales amount from the previous week.Home, 404, Search,
Smart OffersTo a first time visiting customer Smart Offers recommends the most viewed products of that month, to a returning customer it recommends the most viewed products of the categories the customer is interested in.Home, 404, Search
Trending ProductsRecommends the products with the greatest increase in revenue compared to the previous week.Home, 404, Search
Purchased Together (Basket)Recommends other products that were purchased with the products in your customer’s basket.Basket
Viewed Together (Basket)Recommends other products that were viewed along with the products in your basket.Basket