Autopilot is a visually-focused marketing software that provides tools for automating a customer’s journey. These include custom triggers that can be mapped out and automated ahead of time so that you can send the right kind of follow-up communications to the right customers. Autopilot can also automatically capture visitors, segment contacts using pre-established filters, and track the progress that a company is making towards a marketing goal. This allows users to make modifications that increase efficiency in real time.
AppsFlyer provides users with centralized and accurate ROI tracking for each of their marketing campaigns and advertising sources. This includes both traditional advertising sources - like TV and social media - as well as harder-to-measure sources like in-app advertisements. It then sends all of this data to one consolidated dashboard to be viewed and analyzed.
Bring all your Autopilot data to Amazon Redshift
Load your Autopilot data to Google BigQuery
ETL all your Autopilot data to Snowflake
Move your Autopilot data to MySQL
Bring all your AppsFlyer data to Amazon Redshift
Load your AppsFlyer data to Google BigQuery
ETL all your AppsFlyer data to Snowflake
Move your AppsFlyer data to MySQL
Manage your contacts by updating, deleting, or retrieving contact data, including names, emails, phone numbers, the source of the lead and their affiliated company. With this information, you can more easily segment each contact into appropriate groupings that will make your marketing more targeted and effective.
Retrieve a list of existing smart segments, including the names and IDs for those segments. Then, gather data from a single smart segment to see relevant contact information, including how many contacts are grouped into that segment and who the first 100 contacts are. You will also get a bookmark link to the next batch of contacts, should there be more.
Get a list of Autopilot journeys that have API triggers, which includes their names and trigger IDs. Then, use that trigger to automatically add a contact to a journey via the contact’s ID or email address.
Configure a large, daily export of raw data - including organic installs, impressions, uninstalls and in-app events - which is sent to a dedicated AWS bucket. Then, access that exported data whenever you need to and integrate it with other data sources for an even broader variety of insights and metrics.
Appsflyer reports fall into four categories: performance, re-targeting, fraud prevention, and raw data reports. You can export any of these reports to get an array of useful data, including the number of installations in a date range, the number of lost leads that were successfully retargeted, and the number of in-app events that occurred in a set period. This allows you to gauge your true ROI as accurately as possible.