Customer filters – In detail

Use this filter to select customers with a specific ID from your audience or multiple customers where at least part of their ID matches the substring you selected.

The filter works with the CUSTOMER_ID parameter in the customer feed.

Use this filter to select customers with a specific first name from your audience or multiple customers where at least part of their first name matches the substring you selected.

Unlike the "Full Name" filter, here we work only with the FIRST_NAME parameter.

Select customers with a specific email address from your audience, or multiple customers where at least part of their email address matches the substring you selected.

The filter works with the EMAIL parameter in the customer feed.

With this filter, you can select your audience based on their phone number. Samba gets this information through the PHONE parameter in the customer feed.

You can either select a specific phone number or, alternatively, multiple results where at least part of the results corresponds to the substring you selected.

Filter your audience based on when the customer registered on your store. The value for this filter is given by the REGISTRATION parameter in the customer feed.

When filtering, you can choose whether the registration date for your resulting audience should be Less than (and equal to), More than (and equal to), Equal to or Between the date you select.

Use this filter to select an audience based on how many days have passed since the customer registered on your store.

When filtering, you can choose whether your resulting audience should be Less than (and equal to), More than (and equal to), Equal to or Between the number you select.

This filter allows you to select your audience based on their postcode. Samba gets this information through the ZIP_CODE parameter in the customer and order feed.

You can select either a specific zip code or, alternatively, multiple results where at least part of the zip code matches the substring you selected.

This filter allows you to select your audience based on what district they are from. The district is determined based on the most frequent ZIP_CODE values in the order or customer feed.

You can select either a specific district or, alternatively, multiple results where at least part of the district name matches the substring you selected.

Filter the audience based on whether they are female or male. Gender is automatically determined by parsing the full name as well as the customers email address. This filter is working for the following countries: AT, CH, CZ, DE, HU, PL, RO, SK.

In the case of this filter, you can select those customers who do or do not have a name day on a given day.

Thanks to the FIRST_NAME parameter from the customer feed, Samba is able to determine whether a given customer has a name day on a given day (this filter currently works for countries CZ, HU, PL, RO, SK).

The filter can only take 2 values:

• Yes
• No

When filtering, you select the exact filter value.

Select an audience based on how many days are left until the customers name day (this filter currently works for countries CZ, HU, PL, RO, SK).

When filtering, you can choose whether your resulting audience should have the number of days to name day Less than (and equal to), More than (and equal to), Equal to or Between the number you select.

Determine the customers price category according to the PRICE_CATEGORY attribute in the customer feed. This is the customer group to determine the special price - see Customer groups with different prices.

You can define different selling prices and original prices before discounts for different customers using the PRICES attribute. This can be useful, for example, if you use different discount programs or work with "VIP" and "guest" customers, etc.

When filtering, you select a specific parameter, inserted in your customer feed, and which corresponds to your desired customer price category.

Filter customers by whether they have consented to purchase behaviour processing.

Samba works with the information in the DATA_PERMISSION parameter in the customer feed and distinguishes only 2 values:

• Full - the customer has given full consent to the processing of purchase behaviour tracking information.
• Do not personalize - the customer has not given consent to the behavioural processing and therefore does not wish to receive personalized advertising and newsletters.

When filtering, you select the exact filter value.

In case you insert a custom parameter into your product feed in the PARAMETER field with the name NAME and value VALUE, you can then use it when filtering your products.

To use this filter it is necessary to set the parameter in the configuration of custom parameters to the "datetime" data type.
We have written a detailed description with all the information about these custom parameters in a separate article here.

If you set the custom parameter in the custom parameter configuration to the date type "datetime", you can use this filter to find the number of days until the next anniversary with respect to the value in the custom parameter.
Find out how to use the filter for your birthday card in our article.

If you set the custom parameter in the custom parameter configuration to the date type "datetime", you can use this filter to find the number of days since the last anniversary with respect to the value in the custom parameter.
Find out how to use the filter for your birthday card in our article.

If you set the custom parameter to the "datetime" date type in the custom parameter configuration, you can use this filter to find the number of years since the date specified in the custom parameter.
Find out how to use the filter for your birthday card in our article.

With this filter, you can select an audience based on how many total purchases a customer has made in your e-shop.

When filtering, you can choose whether your resulting audience should have a total number of purchases Less than (and equal to), More than (and equal to), Equal to or Between the number you select.

Use this filter to select an audience based on how many purchases a customer has made in your e-shop in the last 365 days.

When filtering, you can select whether your resulting audience should have the number of purchases in the last year Less than (and equal to), More than (and equal to), Equal to or Between the number you select.

Use this filter to select an audience based on the average order value for a given customer in your e-shop.

When filtering, you can choose whether your resulting audience average order size should be Less than (and equal to), More than (and equal to), Equal or Between the number you select.

With this filter, you can select an audience based on what the average order value was for that customer in your e-shop over the last 365 days.

When filtering, you can choose whether your resulting audience should have an average order size of Less than (and equal to), More than (and equal to), Equal to or Between the number you select.

In the case of this filter, you can define the audience of customers who have purchased the total number of products you specify.

When filtering, you can choose whether the total number of products purchased for your resulting audience should be Less than (and equal to), More than (and equal to), Equal to or Between the number you select.

With this filter, you can define an audience of customers who have purchased the number of products you specify in the last 365 days.

When filtering, you can choose whether the annual number of products purchased for your resulting audience should be Less than (and equal to), More than (and equal to), Equal to or Between the number you select.

Use this filter to select an audience based on how much the customer spent in total on your store.

When filtering, you can choose whether your resulting audience total spending should be Less than (and equal to), More than (and equal to), Equal or Between the number you select.

Use this filter to select an audience based on how much a customer has spent in your e-shop in total over the last 365 days.

When filtering, you can choose whether your resulting audience total annual spending should be Less than (and equal to), More than (and equal to), Equal or Between the number you select.

Filter the audience by when the customer last made a purchase in your e-shop.

For this filter, Samba takes the most recent value for the FINISHED_ON parameter in the order feed.

When filtering, you can choose whether the date of the last order on your e-shop should be Less than (and equal to), More than (and equal to), Equal to or Between the date you select for your resulting audience.

Use this filter to select an audience based on how many days have passed since the customer last order in your e-shop.

When filtering, you can select whether the number of days since the last order should be Less than (and equal to), More than (and equal to), Equal to or Between the number you select.

Filters the audience by when the customer first made a purchase on your store.

Unlike the previous filter, for this filter Samba takes the oldest value for the FINISHED_ON parameter in the order feed.

When filtering, you can choose whether the date of the first order on your e-shop should be Less than (and equal to), More than (and equal to), Equal to or Between the date you select for your resulting audience.

With this filter, you can select an audience based on how many days after which a customer repeated their last order in your e-shop.

When filtering, you can choose whether your resulting audience should have the number of days between the last two orders Less than (and equal to), More than (and equal to), Equal to or Between the number you select.

Use this filter to select customers from your audience who have purchased a product with a specific ID, or multiple products where at least part of their ID matches the substring you selected.

Samba gets the value for this filter from the product feed from the PRODUCT_ID parameter.

You can also filter customers from your database based on whether they purchased a product with a specific name you selected. Alternatively, you can select multiple products where at least part of their name matches the substring you selected.

In the case of this filter, the value of the TITLE parameter is retrieved from the product feed.

Within this filter, you can select how many total visits to your site (in the last 30 days) you want the resulting audience to have.

When filtering, you can select whether the resulting audience should have a number of visits Less than (and equal to), More than (and equal to), Equal to or Between the value you select.

With this filter, you can select an audience based on how many days it has been since a given customer returned to your store since their last visit.

When filtering, you can select whether your resulting audience should have the number of days between two visits as Less than (and equal to), More than (and equal to), Equal to or Between the number you select.

Use this filter to select an audience based on how many days have passed since the customer last visited your store.

When filtering, you can choose whether your resulting audience should have the number of days since the last visit as Less than (and equal to), More than (and equal to), Equal to or Between the number you select.

Filters the audience based on when your email was last delivered to the customer.

When filtering, you can select whether the last email delivery date for your resulting audience should be Less than (and equal to), More than (and equal to), Equal to, or Between the date you select.

Filters the audience based on when the customer last opened your email.

When filtering, you can choose whether the last email open date for your resulting audience should be Less than (and equal to), More than (and equal to), Equal to, or Between the date you select.

Filter the audience by when the customer last clicked through your email.

When filtering, you can choose whether the last email click date for your resulting audience should be Less than (and equal to), More than (and equal to), Equal to, or Between the date you select.

Filter the audience by how many days have passed since your email was last delivered to the customer.

When filtering, you can choose whether the number of days since the last email delivery for your resulting audience should be Less than (and equal to), More than (and equal to), Equal to or Between the number you select.

Filter the audience by how many days have passed since a customer last opened your email.

When filtering, you can choose whether the number of days since the last email was opened for your resulting audience should be Less than (and equal to), More than (and equal to), Equal or Between the number you select.

Filters the audience by how many days have passed since your customer last clicked through your email.

When filtering, you can choose whether the number of days since the last email click should be Less than (and equal to), More than (and equal to), Equal to or Between the number you select for your resulting audience.

Filters the audience based on when your SMS was last sent to the customer. When filtering, you can choose whether the last SMS send date for your resulting audience should be Less than (and equal to), More than (and equal to), Equal to or Between the date you select.

Filter the audience by how many days have passed since the last time your customer sent an SMS. When filtering, you can choose whether the number of days since the last SMS sent to your resulting audience should be Less than (and equal to), More than (and equal to), Equal to or Between the number you select.

With this filter you can select customers from your audience for whom the most purchased subcategory is the category you selected. Alternatively, you can increase the number of selected customers by selecting more subcategories, where at least part of their name corresponds to the substring you selected.

With this filter you can select customers from your audience for whom the most purchased product line is the product line you selected. Alternatively, you can increase the number of selected customers by selecting multiple product lines, where at least part of their name corresponds to the substring you selected.

With this filter you can select customers from your audience for whom the favourite product brand is the product brand you selected. Alternatively, you can increase the number of selected customers by selecting multiple brands where at least part of their name matches the substring you selected.

Based on the Predicted CLV (365 days), Samba classifies the customer into one of the following categories:

• Low
  • Customers make up the bottom 20% based on the Predicted CLV of all customers.
• Mid
  • Customers in the middle 60% based on Predicted CLV of all customers.
• High
  • Customers make up the top 20% based on the Predicted CLV of all customers.

Using purchase behaviour, Samba can predict how much a customer will spend with you in the next year (365 days into the future). So you can filter your audience by predicted spending in the coming year. In doing so, the model takes into account not only the expected order size but also the likelihood of purchase based on Customer Activity.

When filtering, you can choose whether your resulting audience predicted spending should be Less than (and equal to), More than (and equal to), Equal to or Between the number you select.

Using information about customer buying behaviour, Samba can predict how many orders the customer will place in the future (the prediction covers 365 days into the future).

Using this filter, you can therefore select an audience based on how many future orders a customer will place in your e-shop.

When filtering, you can choose whether your resulting audience should have the number of future orders Less than (and equal to), More than (and equal to), Equal to or Between the number you select.

As with the previous filter, Samba can also predict how long it will take for a customer to purchase from your store again. Thus, with this filter, you can select your audience based on how many days are left until the next predicted order.

When filtering, you can select whether your resulting audience should have the number of days until the next predicted order Less than (and equal to), More than (and equal to), Equal to or Between the number you select.

This filter gives customers a score of 1-5 based on the time since their last purchase.

When filtering, you can choose whether your resulting audience recency score should be Less than (and equal to), More than (and equal to), Equal to or Between a number you select.

This filter gives customers a score of 1-5 based on the total number of their purchases.

When filtering, you can choose whether your resulting audience should have a frequency score of Less than (and equal to), More than (and equal to), Equal to or Between the number you select.

This filter gives customers a score of 1-5 based on the average value of their order.

When filtering, you can choose whether your resulting audience monetary score should be Less than (and equal to), More than (and equal to), Equal to or Between the number you select.

When filtering, you can select whether the resulting audience should have a bonity score of Less than (and equal to), More than (and equal to), Equal or Between the value you select.

As with Audience Lists, you can filter your resulting Audience List by whether it is in the segment you have previously saved.

We have written a detailed, standalone article on the explanation, operation, and audience splitting A/B test, which can be found here.