Integrate AppsFlyer with Wootric
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.
Wootric is a service that can create customers surveys and turn their responses into a measurable metric of customer happiness called a Net Promoter Score (NPS). Wootric’s surveys are designed to get the most responses possible by being both simpler and less aggressive than traditional surveys. The data gathered from these surveys can be used to rate and segment customers as well as offer analytics about your customer base at large.
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AppsFlyer's End Points
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.
Wootric's End Points
Track the data associated with your survey responses. This allows Wootric to both provide you with analytic data about your NPS and integrate that data with your CRM.
Interact with data about your end users - including their contact information, their relationship with your company (such as what plan or product they use) and the date they were last surveyed - to gauge how out-of-date your data about each user may be. Then, use this information to decide if/when they should be surveyed again.
Monitor which surveys were declined and by whom. This data includes the ID of the respondent, the survey ID and the time at which it was declined. You can then identify which surveys were unsuccessful and which customers are unlikely to respond to surveys. This can help to accurately segment your customers and better gauge where they are in their lifecycle with your company.