Segment Templates let you predefine complex scenarios for segmentation from SQL queries, and then describe them in natural language sentences so that your less tech-savvy colleagues can easily use them to build segments.

In the example below, we have created a segment template that can target everyone who:

• Departs in x days (this can be in the past, in which case the number will be negative)
• Traveling in x class (Premium, Economy, etc.)

To create a segment template, check the following:

1. Segment template status - The label displays the current status: New, Draft, or Ready.
2. Set up the DB connection - Select the database to connect to from the drop-down menu.
3. Save Draft button - You can save unfinished templates, marked as drafts. The Draft status indicates that these are work in progress templates. Draft templates are not validated and can not be used for segmentation yet.
4. Segment template definition - This is the statement you will use for segment creation. It contains the parameters you have created for the definition, and should be written as a natural language statement.
5. Create parameter - Create a parameter of the appropriate type for each of the variable criteria in your segment. Give it a name that will make sense in the segment template definition. The available types are:
      - Text input - Creates a free text field that accepts alphanumeric and special characters.  
      - Numeric input - Creates a numeric field that only accepts integers (including negative values).

- Date input - Creates a date field with the format dd-mmm-yyyy. It also offers a calendar function.
- Custom drop-down - Creates a single-choice list. The name will appear in the segment (i.e. what marketer sees) and the list item values are what you use in the SQL query. You can choose different types of option for the drop-down; as well as text and numeric input you can also define the filter operators here.

The parameters let you create multiple segments from the same template with different criteria values. On the right-hand side, you can see the created parameters (green tags), which you can drag and drop into the SQL query. Parameters are reusable - there is no need to create another one if you need, for example, two destination parameters.

6. Underlying SQL query - This is probably the most important element, as this contains the actual query used to extract the data from the databases. It will run in the background whenever you are using this segment template. It is possible to create segment templates solely with this SQL query, without adding parameters, but it would be less handy, as you would not be able to add different types of input later. We recommend that you test the query on your database first, then copy and paste it in here.
7. Test Query - This function button lets you check if the SQL query is executable and syntactically correct by running the query in an EXPLAIN statement. In this statement, the variables are replaced with the correspondent dummy data (e.g. string -> "" [empty string]). The results may be different for each database engine types. In case of an MS SQL database, the query will return with an Execution Plan in XML format, which you can open with SQL Server Management Studio. If the configured database user doesn't have the sufficient privileges to run your query in an EXPLAIN statement, the query will be executed with LIMIT 1.
8. Contact reference field and Reference field - Here you map a pair of field that will identify your contacts in both databases. Typically this is the email address, but it can be anything you want as long as it is a unique identifier in all the databases.
   - Contact reference field - The unique identifier key in your Emarsys contact database (you can choose it from a drop-down menu).
   - Reference field - The same unique identifier key in your own database, which you are using to create relational segments and segment templates. You can use an alias too (e.g. id instead of customer_id), but in this case you should begin the SQL query like this: SELECT customer_id as id, then have id in the reference field.
9. Preview and test - Here you can preview what your colleagues will see when they create a segment, and can test it with real data.

10. Click Run when you selected the values for the parameters. The segment should return the corresponding number of contacts from your database.
11. Click Save to finalize it when you finished editing the template and satisfied with the preview and the test results. In the saving process, we validate the query and set it as Ready, if it is correct.
    Ready templates are available for segmentation.

Once you have created your segment templates, you can use them to create actual segments.

To create a relational segment, proceed as follows:

1. Select Contacts > Segments, then click Create Segment.

2. Click Standard Segment, then choose Relational segment in the pop-up.

3. Give your segment a Name and add a Description to it.

4. Select the Template that you previously created.

5. Click the fields highlighted in blue and select or enter the values for the parameter. In the example above the segment targets those contacts who will travel with Business (custom drop-down) class to Singapore (custom drop-down) in 7 (number input) days.

6. To create (and save) the segment and to display the results, click Save & Apply. The segment will now appear on the Relational Segments list.