Documentation Pages Tagged “experiments”
Experiment Query
Compares two sets of users to find out which of them is reaching a given success function more often in the TelemetryDeck Query Language.
Introduction
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Anonymization of user data Why is Apple's app privacy report important to you as an app developer? How app tracking transparency affects app developers Apple's app privacy details Custom dashboards with insight groups TelemetryDeck's Grand Rename Funnels - How they work Quick set-up of insight for the number of monthly users in your app What are insights and how do they work? How to invite members to your organization Making an account Navigation Signals Setting Up the 'Errors' Preset to Reduce Churn Setting Up the 'Purchases' Preset to Get Live Purchase Data Filters - How to use the Filter Editor How to name your signal types TelemetryDeck Swift Client Reference Getting started with Test Mode Track the number of daily users in your app How to update a Swift package Find out which operating system your users are using Picking your minimum iOS or Android version Detect if users update to the latest app version How to write this Documentation Integrations
Using TelemetryDeck with RevenueCat Using TelemetryDeck with Superwall iOS Using Google Tag Manager to include TelemetryDeck in your website TelemetryDeck Query Language Reference
TQL Query Reference Query Type Timeseries Query Top N Query Group By Query Scan Query Funnel Query Experiment Query Data Source Granularity Time intervals and relative time intervals Descending Base Filters Filters Aggregators Post Aggregators Dimension Spec Extraction Function TopNMetricSpec (Deprecated) Funnels TelemetryDeck Query Language Examples
Calculating Averages, Sums, Minimums and Maximums Calculating the average number of views per purchase API
Get the query for an Insight Run Query Default Parameters Insights Reference Signals Reference Get an API Token Get the query for an Insight Ingest API
Ingest API v2 (Deprecated) Ingest API v1