Configuring data retention

By default, the data for all data source activities and their attributes are only retained in Ortto for 90 days. This ultimately affects your ability to:

  • see these activities in feeds under your customer data platform (CDP) people profiles, data sources etc.,

  • filter data based on these activities and attributes, and

  • create new reports based on these activities.

The effects of activities such as aggregated fields, daily reports, etc. however, continue on beyond this period.

Nevertheless, this default 90 day limit means that Ortto does not have to retain this data that in many or most cases passes its period of usefulness, which would otherwise impair the performance of filters, journeys, audiences and other areas of Ortto over time.

In some cases, however, it may be necessary to store an activity and its attribute data for longer. Therefore, Ortto provides a mechanism for customers on Business and Enterprise plans to opt-in to selectively store their activity data for longer.

Configure while establishing data source connection

While configuring most new data sources in Ortto, you are presented with a step that allows you to choose which activities from that data source to retain beyond the default 90 day period.

data source view retention
Example data retention configuration for Gorgias integration

Configure when viewing a data source

After configuring a data source, you can still choose which activities to retain beyond the default 90 day period from the data source’s view.

  1. In the left-hand panel of a data source’s view, under Data retention, click Edit.

  2. Select the Store activity data for more than 90 days on selected activities radio button then the time and activities you wish to store data for.

  3. Click Save.

When conducting a re-sync, all people with activity data for the period specified will be imported into Ortto. Therefore, people who were previously deleted from Ortto will be re-imported if there is relevant activity data for them conducted in the data source.