On the basis of behavior and patterns in behavior Spotler Activate automatically compiles the most popular product sets for profiles. It is also possible to create a New Product Set and edit selection methodes.
You can see if a Product set is automatically created by the magic wand. The following product sets are automatically composed for profiles:
A product set is based on a selection method and (possible) fallback sets. For more information about the composition of the sets click on the selection method.
| Name | Selection method | Fallback set |
|---|---|---|
|
Most in stock |
Most in stock | Product set can be supplemented with products from another product set |
|
Items you may like |
Items you may like | Most sold for profiles without events |
|
Recommended for you |
Recommended for you | Most sold profiles without events |
|
Purchased (no fallback) |
User behavoir | No |
|
Last viewed (no fallback) |
Last viewed | No |
|
Purchased |
User behavior | No |
|
Added to cart |
User behavior | Most sold |
|
Last viewed |
Last viewed | Most sold |
|
Top 20 most sold products |
Most sold | Most sold |
|
20 random products |
None, random selection of all available products | 20 random products with merchants without purchases |
Items you may like
The Items you may like product sets contains recommended products based on profile behavior. Based on the behaviour of a profile, products are recommended that other profiles also viewed, added to their basket or purchased. The events used to compose the product set are:
- ViewContent
- AddToCart
- Purchase
The following is a simplified example of how the product set for profile A is composed. To simplify the example, only the ViewContent event is used. The process below happens on a large scale with all profiles, events and products in Spotler Activate. In this process, factors such as time and weighting also play a role in the final result.
Input profile A in Spotler Activate
- Profile A has viewed product 1
Input all profiles in Spotler Activate
- Profile B has viewed products 1, 2 and 3
- Profile C has viewed the products 1 and 3
- Profile D has viewed products 1, 2, 3 and 4
Output
For profile A, the following Items you may like set is constructed (in order):
- Product 3 → because the three profiles that viewed product 1 also viewed product 3
- Product 2 → because of the three profiles that viewed product 1, two profiles also viewed product 2
- Product 4 → because of the three profiles that viewed product 1, one profile viewed product 4
Options
The following extra options can be applied to the composition:
- Max # of products: the maximum number of products in the set (when the maximum number is reached, the product that was first in the set goes first)
- Exclude product set: products from another product set can be excluded for this product set
- Exclude # last recommended: the number of recently recommended products is excluded for this product set, so that the same products are not shown constantly
- Recency weight: the extent to which more value is attached to recently viewed products
-
Recommend based on products: the recommendations are compiled based on the product id that is sent along in the event instead of the profile's behavior
Example recommend based on products
When you select this option, it is obligatory to send a product id in the event when composing the product set. The set will be composed based on the product id which is sent. So the relations of the product with other products is specifically looked at, instead of the total behaviour of the profile towards products. -
Fallback set: if insufficient products meet the criteria to reach the maximum number of products, the product set can be supplemented with products from another product set.
The set can be specifically or dynamically composed with: Product Set Filters
Recommended for you
The Recommended for you product set contains recommended products that are often bought in combination. Based on the behaviour of a profile, products are recommended that other profiles also bought in combination with the product that they interacted with. To compose the set, product ids that occur in the following event are used:
- Purchase
The following is a simplified example of how the product set for profile A is composed. The process below happens on a large scale with all profiles and products in Squeezely, factors such as time and weighting also play a role in the final result.
Input profile A in Squeezely
- Profile A has added product 1 to the shopping cart
Input all profiles in Squeezely
- Profile B has done an order with products 1, 2 and 3
- Profile C has done an order with products 1 and 3
- Profile D has done an order with products 1, 2, 3 and 4
Output
For profile A, the following Recommended for you set is assembled (in order):
- Product 3 → because the three profiles that have purchased product 1 have also purchased product 3 in the same order
- Product 2 → because of the three profiles who purchased product 1, two of them also purchased product 2 in the same order
- Product 4 → because, of the three profiles that purchased product 1, one profile also purchased product 4 on the same order
Options
The following additional options can be applied to the composition:
- Max # of products: the maximum number of products in the set (when the maximum number is reached, the product that came first in the set goes first)
- Exclude product set: products from another product set can be excluded for this product set
- Exclude # last recommended: the number of recently recommended products is excluded for this product set, so that the same products are not shown constantly
- Recency weight: the extent to which more value is attached to recently viewed products
-
Recommend based on products: the recommendations are compiled based on the product id that is sent along in the event instead of the profile's behavior.
Example recommended based on products:
When you select this option, it is obligatory to send a product id in the event when composing the product set. The set will be composed based on the product id which is sent. So the relations of the product with other products is specifically looked at, instead of the total behaviour of the profile towards products. - Fallback set: if insufficient products meet the criteria to reach the maximum number of products, the product set can be supplemented with products from another product set.
The set can be specifically or dynamically composed with: Product Set Filters.
User behavior
For the user behavior set, you can configure which interaction with products is used to compose the set. For the composition of the set you can use any event in which a product id is sent, custom events are also possible.
Options
The following additional options can be applied to the composition:
- Retention: the number of days the products remain in the set after the interaction with the product
- Max # of products: the maximum number of products in the set (when the maximum number is reached, the product that came first in the set goes first out)
- Fallback set: if there are not enough products that meet the criteria to reach the maximum number of products, the product set can be supplemented with products from another product set.
Last viewed
The last viewed set contains the last viewed products of the profile. Based on the viewing of products by a profile, this set is composed. The following event is used for this purpose:
- ViewContent
Options
The following additional options can be applied to the composition:
- Retention: the number of days the products remain in the set after viewing the products.
- Max # of products: the maximum number of products in the set (when the maximum number is reached, the product that came first in the set is removed first).
- Fallback set: if there are not enough products that meet the criteria to reach the maximum number of products, the product set can be supplemented with products from another product set.
Most sold
The most sold set contains the most sold products in the past 7 days. This set is composed based on the purchases of all profiles in the last 7 days. The following event is used for this:
- Purchase
Options
The following additional options can be applied to the composition:
- Max # of products: the maximum number of products in the set
- Fallback set: if not enough products are sold to reach the maximum number of products, the product set can be supplemented with products from another product set
Most in stock
The most in stock set contains the products with the highest inventory. Based on the inventory, this set is composed. The following product field is used for this purpose:
- Inventory
Options
The following additional options can be applied to the composition:
- Max # of products: the maximum number of products in the set
- Fallback set: if insufficient products are in stock to reach the maximum number, the product set can be supplemented with products from another product set
New Product Set
Custom product sets can be created based on selection methods and filters. You can create these product sets by clicking on New Product Set. You create a product set on the basis of selection methods:
-
Recommenders: Spotler Activate analyses patterns in the events of profiles and uses these for the recommenders:
- Recommended for you
-
Items you may like
Note: Creating or editing the recommenders can take a few minutes, since the set for each profile needs to be calculated.
-
Events: based on events, sets can be compiled such as:
- Last viewed
-
User behavior
Note: If an existing set is changed on the basis of events, this set is emptied for all profiles.
- Other: the following sets are available based on purchase and inventory: