Analyze Social Behaviour on GetSocial Dashboard¶
GetSocial’s analytics dashboard provides valuable insights into your app’s acquisition(organic), retention and engagement. Below you can find detailed explanations of all data exposed via Dashboard.
Analytics events can take up to 90 mins to appear on the Dashboard.
The Overview tab shows high level overview of the following key events for the selected period, along with a comparison to the period before:
- Average DAU: shows the average of daily active users.
- Installs: shows the total number of installs generated via GetSocial invites for your app
- Activities: shows the total number of activities posted by your users
- Savings: savings denote the total CPI value (CPI index based on country and platform) of users acquired organically through GetSocial
- Installs by channel (Smart Invites): shows the breakdown of installs generated by each invite channel (FB, WhatsApp, Twitter, etc.)
- Installs by channel (Smart Links): shows the breakdown of installs generated by each invite channel (FB, WhatsApp, Twitter, etc.) through our smart links.
- Invites sent by channel: shows the breakdown of invites sent through each invite channels.
- Savings by channel: shows the breakdown of savings generated by each marketing channel (FB, WhatsApp, Twitter, etc.)
- Savings by platform: shows the breakdown of savings generated per platform (Android and iOS)
- Savings by country: shows the breakdown of savings generated per country
- Clicking on legend items hides/unhides the series from the chart.
- Click and drag over the chart to zoom.
- Right-click on the chart for the context menu.
Smart Invites tab¶
The Smart Invites tab provides comprehensive insights into GetSocial’s Smart Invites feature. You can analyze the performance of invites, invite channels and the impact they have on your app’s growth.
Following events are shown in the overview block of the Smart Invites tab displaying values for the chosen time period:
- Installs: shows the total number of installs generated via GetSocial invites for your app
- Cycle time: Day 0: shows the percentage of users whose cycle time is less than a day. Cycle time is defined as the time it takes (in days) for your users to send their first invite since their first session.
- Average invites sent per inviting user: shows the average number of invites sent per inviting the user. An inviting user is any user who sends an invite in the chosen time period.
- Invites sent per mille: shows the number of invites sent per thousand users (active users for the chose time period).
Invite funnel is a powerful analysis to determine the drop-off points in the invite process. The invite funnel consists of all the invite steps tracked by us (Initiated, Cancelled, Sent, Clicked, Install, and App open). You can select the time period and granularity (Day, Month or Year) for this chart and switch between line and bar chart type.
The most important factor to increasing organic growth for your app is not the viral coefficient, but the cycle time. Cycle time is the amount of time it takes (in days) for your users to send their first invite since their first session.
To increase your app’s growth, your aim should be to minimize the amount of time it takes for your users to send their first invite by reducing the steps required for them to reach the point where they invite a friend or colleague.
Selecting the time period in this chart takes the cohort of all users whose first session was within the chosen period to calculate their cycle time.
Re-engagement via invite links¶
Every time a user clicks on our invite link to open the app (directly via deep-linking or indirectly via the app store) we track that as an app open. We analyze this event against user’s last session to understand the percentage of lapsed users that re-engaged because of the invite links.
As we can see in the chart below, 9.79% of users were inactive for over 4 days and re-engaged with the app by clicking on an invite (referral) link.
K-factor, also known as the viral coefficient is the most commonly used indicator to measure an app’s viral growth. It tells you how many new users each of your existing users acquire on average, while the cycle time (see above) tells you how quickly that happens. K-factor greater than 1 combined with a shorter cycle time leads explosive exponential growth.
Recommended reading on K-factor and Cycle time.
Installs by country¶
This chart shows the breakdown of installs by the country which can be further filtered by invite channels and platforms. This allows you to analyze the invite channels and countries that drive the most installs for your app.
Conversion by channel¶
With conversion analysis, you can determine the impact of the invite channels on your acquisition funnel. This chart allows you to analyze the conversion between any of invite events as an aggregate or a comparison between the invite channels.
Events by channel¶
Events by the channel is a time series analysis on the performance of every invite events by invite channels. This allows you to analyze which invite channels are preferred by your users for each acquisition event.
Events by platform¶
This chart is similar to the above, with the exception that the breakdown of events is by platform (Android, iOS, etc.) instead of channels.
Events by user type¶
This chart displays acquisition events breakdown by new and retained users.
Smart Links tab¶
The Smart Links tab provides comprehensive insights into GetSocial’s Smart Links feature. You can get insights into the performance of your marketing campaigns (by marketing channel and medium), compare the performance of individual links in a campaign and the impact they have on your app’s growth.
Following events are shown in the overview block of the Smart Links tab displaying values for the chosen period and aggregated across all your (active and archived) marketing campaigns:
- Link clicks: shows the total number of clicks
- Installs: shows the total number of installs generated for your app through the Smart Links
- App opens: shows the total number of app opens. Every time a user clicks on our Smart Link to open the app (directly via deep-linking or indirectly via the app store) we track that as an app open.
Link funnel is a powerful analysis to determine the drop-off points in your marketing promotion. The link funnel shows the flow from Link clicks to Installs and App open. You can select the period and granularity (Day, Month or Year) for this chart and also filter the chart by channel, medium, and campaigns that you have set during the link creation process.
Click event by channel, campaign, and medium¶
Click event shows a time series analysis of the performance of your marketing channel, campaign or medium based on the number of clicks they generated. Narrow the scope of your analysis by filtering on campaign, channel, and medium. For example, you can analyze and compare if your promotion on Facebook drives more clicks than your promotion on Twitter or if your Summer campaign performed better than your Spring campaign.
Install event by channel, campaign, and medium¶
Similar to the click event above, you can analyze the performance of your marketing channel, campaign or medium based on the number of installs generated for your app.
Open event by channel, campaign, and medium¶
Similarly, you can analyze the performance of your marketing channel, campaign or medium based on the number of the number of app opens (directly via deep-linking or indirectly via the app store).
Conversion by channel, campaign, and medium¶
Conversion chart allows you to compare the performance of marketing channel, campaign, and medium at converting your marketing promotion to an app install and open.
Growth is the defining metric for many mobile teams, but without a solid retention strategy, those precious marketing dollars are wasted. Therefore it is imperative to analyze your app retention rates and understand which acquisition source is bringing those high LTV users.
The Retention tab, therefore, provides insights into your app’s retention rates (using classic retention) showing comparisons between referred (installed app via GetSocial’s invites) and non-referred users.
You can further compare the retention rates of users acquired through different invite channels to analyze which invite channel is bringing high LTV users.
The overview block on retention tab shows the average Day 1, 7 and 30 retention comparison between referred and non-referred user for the selected period.
User retention by channel¶
User retention by channel shows a comparison of day 1 to 30 retention rates of users acquired through different invite channels. This is further compared to all the users that were not acquired through GetSocial’s invite feature (outside GetSocial).
By combining channels, you can analyze the difference in retention rates between users acquired through GetSocial’s invites vs. others.
Retention table by daily cohort¶
This retention table helps you analyze and compare the retention rates of users acquired through GetSocial’s invites vs. others. Users are grouped by daily cohorts (i.e. users are cohort based on their first session date).
The Engagement tab provides comprehensive insights into GetSocial’s Activity Feeds and Notifications features. You can get insights into the performance of your user engagement efforts and interaction with community.
New and retained users¶
This chart shows the breakdown of active users by new users and returning users.
Content session is an indication of the usage of GetSocial’s features. This event is tracked every time a GetSocial UI is presented to the user and shows the number of impressions for each UI.
This chart shows time series analysis on the number of activities posted by your users on our activity feeds (per platform).
This chart shows time series analysis on the number of comments posted by your users on other users’ activities (per platform).
Events by user type¶
This chart shows a time series breakdown of activities and comments posted by new and retained users.
Push notifications if enabled are triggered as a result of users commenting or liking other user’s activity. This chart is used to analyze the drop-off points in the push notification process.
Please note that push notification received event is only tracked for Android.
Push notifications conversion¶
This chart allows you to analyze the conversion between any of Social Notification types as an aggregate or a comparison between them.
Average sessions by user¶
This metric calculates the average number of sessions per user. This shows you how often a user uses your app in a given time frame. Do they use your app once a day or several times a day?
The Revenue tab provides comprehensive insights into automatic in-app purchase tracking provided by GetSocial.
In addition to gaining insights into standard revenue metrics like total revenues, the number of transactions, time to first purchase, ARPPU (Average revenue per paying user) and ARPDAU (Average revenue per DAU) you will be able to compare the purchase behavior of referred vs non-referred users.
Average revenue per transaction¶
This chart provides a comparison of average spend per transaction between referred and non-referred users. This gives you insights on whether referred users on average generate more revenue per transaction than non-referred users or not.
This chart provides insight into what percentage of referred vs non-referred users covert to paying user.
Revenue by Acquisition Channel, Campaign and Medium¶
This chart helps you identify the ROI on your marketing campaigns. Identify which campaign, channel or medium is driving higher revenues to your app.
Transaction by product type¶
GetSocial in-app purchase tracking automatically captures product type. This chart shows the number of transactions per product type to help identify which products are more popular.
Time to first purchase¶
This chart groups paying users based on the time it takes for them to make their first purchase since their first session.
Popular pairs of IAP¶
This chart gives you an indication of which item is more likely to be purchased if a user has purchased another item before.
Time to first purchase (bubble chart)¶
For each purchased item in your app, we calculate on average how long it takes from the user’s first session to purchase that item.
This gives you an indication on which items are popular at which stages of the user’s lifecycle and use this information to promote such products at the right time.
All charts (except tables) could be exported as CSV, PDF or Image. These and some additional options are available upon a right click on the chart.