Get Started with Flurry Explorer¶
Flurry Explorer is designed and implemented as a powerful, yet easy-to-use analytics tool for running general and custom queries based on the dataset of your app.
You can build and execute queries more flexibly and with greater ease, returning answers in graphical and numeric form to those queries almost immediately.
Launch Explorer & Start Building Queries¶
To get started, you’ll need to be a registered Flurry developer who has downloaded and integrated the Flurry SDK into your app.
There are no coding or programming prerequisites to work successfully with Explorer. No separate Explorer SDK for iOS or Android is required. The Flurry Analytics SDK will continue to capture all of your app data, and then a portion of that data is ingested into Explorer for use in this new tool.
Follow these steps to get started:
- Log in to Flurry Analytics.
- Click the green bar at the top of the page in order to open the all new Flurry site.
- Click the Explorer item in the header to navigate to the Explorer section of the site.
- Select the app you want to Explore from the Dataset dropdown menu.
- You will notice three items in the left-navigation, each of which represents a different type of analysis you can perform with Explorer, as described in the next section:
Flurry Explorer provides you with three specific options for querying your dataset:
- Segments. These are subsets of your Flurry analytics data. One segment, for example, can be from a region or country, while another segment can be defined by gender.
As a use case, if your dataset is derived from your app called Krazy Kommunicator and you wish to run a segments query based on DAU (Daily Active Users) Overall, your query will return a report similar to the graphical chart shown below.
- Funnels. These track users as they execute a defined set of steps, enabling you to determine how many users started, then completed a given step.
If your dataset is derived from your Krazy Kommunicator app and you wish to run a funnels query based on First Session By Gender, your query will return a report similar to the conversion rate chart shown below.
- Cohorts. These can be a group of users that share some common characteristics you can identify when building and running an analytics query with Explorer.
If your dataset is derived from your Krazy Kommunicator app and you wish to run a cohorts query based on Return Rate by Region, your query will return a report similar to the chart shown below.
In each case, Explorer provides you with a powerful set of building blocks for your query.
For segmentation queries, you can specify Metrics, Dimensions and Filters. For funnels, you can define funnel Types, Steps, Dimensions and Filters. And in the case of cohorts, you can show users who first performed an app install, and then the steps they followed to complete the install, in addition to specifying dimensions, like User Region, and filters, like Session Date/Time.
These building blocks for each type of query are discussed in the following sections:
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