In the article Filters – Glossary we made a brief presentation of the 4 macro categories of filters.

In this article we delve into the macro category of Behavioral Filters, i.e. the actions and activities carried out by users.

You can create and add a filter when creating a segment by clicking on the Add Filter button and then selecting New Filter. By choosing, from the drop-down menu the type of filter “Behavioral Filter” it will then be possible to add the condition.
If you want to add more conditions, just repeat the operation.

Time range

The behavioral filters are divided into three categories, the time frame in which the conditions are analyzed is by default 30 days and it is possible to change it, once the condition is selected, from the gear wheel that appears to its right.

From this menu it is also possible to select the catalog on which we want to search, in case we have more than one.

Browsing history

This category collects the metrics related to the history of user visits to the website, let’s see what conditions can be selected and their characteristics.

• Days since the last page viewed (days elapsed since the last page view log made by the user)
• Page views (number of page views in the time frame set in the time range)
• Total products viewed (number of total products viewed during the time frame)
• Favorite brand (brand with the most items seen in the time frame)
• Favorite product category (category with the most views in the time range)
• Search performed (search string made by the user in the selected time period)
• Name of the product seen (name of the product seen by the user in the time range, it is possible to select it within the products on the database thanks to a drop-down menu, the products that are inactive will appear with a lighter color and a no-access symbol next to it)
• Brand of a product seen (name of the brand of a product seen by the user in the time range, it is possible to select it within the brands on the database thanks to a drop-down menu, those that are deactivated will appear with a lighter color and a no-access symbol next to it)
• Viewed Product Category Name (name of the category of a product seen by the user in the time range, it is possible to select it within the categories on the database thanks to a drop-down menu, those that are deactivated will appear with a lighter color and a no access symbol next to it. Unlike the Category Name view, this condition is checked during the product’s page view)
• Id of the product seen (id of the product seen by the user in the time range, it is possible to select it within the list of products on the database thanks to a drop-down menu, those that are deactivated will appear with a lighter color and a no-access symbol next to it)
• Seen product tag (tag assigned to a product seen by the user in the time range, it is possible to select it within the tags on the database thanks to a drop-down menu, those that are deactivated will appear with a lighter color and a no-access symbol next to it)
• View Category Name (name of the category seen by the user in the time range, it is possible to select it within the categories on the database thanks to a drop-down menu, those that are inactive will appear with a lighter color and a no access symbol next to it. Unlike the Product Category Name Seen condition, this is checked when the user views a category page)
• View page url (verify whether or not the text set as the condition value is contained within the view page url)
• Time spent on page (time spent by the user in the page view in seconds)
• Days since the last email opened (days since the user opened the last email in the selected time range)
• Days that have passed since the last email opened and clicked (days that have passed since the last email was opened by the user, on which he clicked, in the selected time range)
• Product Sku viewed (SKU of the product displayed during the page view by the user in the selected time range)
• Custom action (checks the value passed through the custom action in the selected time range)
• Referrer page url (verify whether or not the text set as the value of the condition is contained within the url of the user’s referring page)
• Recommendation click ()
• Behavioural message click ()
• Active Push Notifications (checks whether or not the user has accepted the receipt of Push Notifications in the specified time range)
• Navigated from the province (abbreviation) (verifies that the abbreviation of the province from which the user connected is equal to or different from the value entered, within the established time range)
• Navigated from the province (name) (check that the name of the province from which the user connected is the same or different from the value entered, within the established time range)
• Navigated from the city (check that the name of the city from which the user connected is the same or different from the value entered, within the established time range)
• Viewed product category id (similarly to the name of the category of a viewed product, allowing you to select the category by id instead of by name. This condition is checked during the page view of the product, going to the corresponding product category)

Order History

This category collects metrics related to the users’ purchase history on the website:

• Days since last purchase (conditions on the days since the user’s last purchase in the selected time range)
• Number of purchases (conditions on the quantity of purchases made by the user in the selected time range)
• Coupon purchases (conditions on the quantity of purchases made by the user with the use of a coupon entered at the time of ordering)
• Order amount (conditions on the amount spent on orders placed by the user in the selected time range)
• Average order amount (conditions on the average of the amounts spent on orders placed by the user in the selected time range)
• Number of products purchased (conditions on the quantity of products purchased by the user in the selected time range)
• Date of first purchase (conditions on the date on which the user’s first order was placed, in this case the time range is the entire lifespan of the user’s activity from the time it was first tracked)
• Name of the product purchased (name of the product purchased by the user in the time range, it is possible to select it within the products on the database thanks to a drop-down menu, the products that are inactive will appear with a lighter color and a no-access symbol next to it)
• Purchased product brand (brand of the product purchased by the user in the time range, it is possible to select it within the products on the database thanks to a drop-down menu, brands that are inactive will appear with a lighter color and a no-access symbol next to it)
• Category of the product purchased by the user in the time range, it is possible to select it within the list of categories on the database thanks to a drop-down menu, those that are deactivated will appear with a lighter color and a no-access symbol next to it)
• Id of a purchased product (id of the product purchased by the user in the time range, it is possible to select it within the products on the database thanks to a drop-down menu, products that are inactive will appear with a lighter color and a no-access symbol next to it)
• Tags of a purchased product (conditions on the tag assigned to the product purchased by the user in the established time range, it is possible to select it within the tags on the database thanks to a drop-down menu)
• Coupon code used (conditions on the text contained within the coupon code used by the customer at the time of purchase, in the selected time range)
• Purchase date (conditions on the date on which the customer made a purchase, in this case the time range used is precisely the one specified in the condition and for the entire duration of the user’s life)
• Days since a purchase (conditions on the number of days since a purchase in the selected time range)
• Days to expiration of a product (conditions on the number of days remaining until the expiration of a product purchased by the user, the time range is the entire life span of the user)
• Expiration date of a product (conditions on the expiration date of the product purchased by the user, the time range is the entire life span of the user)
• SKU of a purchased product (SKU of the product purchased by the user in the selected time range)
• RFM- Recency (conditions on the value of the assumed by the R – Recency parameter of the RFM matrix, the assumed value is between 1 and 5 inclusive)
• RFM- Frequency (conditions on the value of the assumed by the parameter F – Frequency of the RFM matrix, the assumed value is between 1 and 5 inclusive)
• RFM – Monetary( conditions on the value of the assumed by the M – Monetary parameter of the RFM matrix, the assumed value is between 1 and 5 inclusive)
• RFM (conditions on the value of assumed by the RFM matrix, this value ranges from 111 to 555, where the digits take value from 1 to 5)
• Average days elapsed between one purchase and another (conditions on the number of days elapsed between one purchase and another, in the selected time range, with the possibility of excluding the last N days from the data analysis)
• Category ID of a purchased product (similarly to the category name of a purchased product, allowing you to select the category by id instead of by name. This condition is checked during the page view of the product, by going to get the id of the corresponding product category)

N.B.: during the import of product feeds, categories it is possible that in the drop-down menu the values are temporarily disabled to allow the system to synchronize. In this case, you will need to try again later, after the import is complete.

Newsletter History

This category collects the metrics related to the history of user interaction with newsletters, for more information on the term “bounce” the user is referred to reading this guide :

• Newsletters received
• Open Newsletters
• Newsletter click
• Newsletter Bounce

Filters by Newsletter Sending Status

• Open
• Receipt
• Clicked
• Bounce

It is worth dwelling on the definition of bounced emails, i.e. all those e-mail messages that are returned to the sender whenever there is an error in the reception, such as an error in the specified address or the mail management server is unable to receive. To learn more about bounce error codes, we refer you to this article. An email address that then returned a bounce for a particular email send, did not receive that email due to technical issues due to its mailbox or email provider

To proceed with the configuration of the filters, read the article at the following link “Configure the filters”.

Please note:

Demographic filters have a set time for recalculation, which is about 8 hours.

So you need to take this detail into account for any actions related to the segment.