See which features go with conversion
Track the handful of features you care about. Respectlytics compares sessions that used each one with sessions that did not, and shows how deep sessions go and at what hour.
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The events
Send each one at the moment on its right. The names are a suggestion; keep whatever pattern you already use.
search_performed
A search returns results
content_shared
The system share sheet completes
video_completed
A video plays to the end
deep_link_opened
The app opens from a link
referral_redeemed
A referral code is accepted
level_completed
A level or lesson is finished
settings_opened
A screen you care about opens; name each one
The calls, per platform
One line per event. Configure the SDK once at launch, as each install guide shows.
Respectlytics.track("search_performed")
Respectlytics.track("content_shared")
Respectlytics.track("video_completed")
Respectlytics.track("deep_link_opened")
Respectlytics.track("referral_redeemed")
Respectlytics.track("level_completed")
Respectlytics.track("settings_opened")
Respectlytics.track("search_performed")
Respectlytics.track("content_shared")
Respectlytics.track("video_completed")
Respectlytics.track("deep_link_opened")
Respectlytics.track("referral_redeemed")
Respectlytics.track("level_completed")
Respectlytics.track("settings_opened")
await Respectlytics.track('search_performed');
await Respectlytics.track('content_shared');
await Respectlytics.track('video_completed');
await Respectlytics.track('deep_link_opened');
await Respectlytics.track('referral_redeemed');
await Respectlytics.track('level_completed');
await Respectlytics.track('settings_opened');
Respectlytics.track('search_performed');
Respectlytics.track('content_shared');
Respectlytics.track('video_completed');
Respectlytics.track('deep_link_opened');
Respectlytics.track('referral_redeemed');
Respectlytics.track('level_completed');
Respectlytics.track('settings_opened');
The questions these events answer
Choose your conversion events first, such as a purchase or a signup. These are measured against them.
- Which features go with converting
- Each event's lift: how much more often sessions that used it converted than sessions that did not.
- How deep sessions go
- Sessions grouped by how many events they contain, and how each group converts.
- When people use the app
- Sessions and conversion by hour of day, on each platform and in each country.
- What links bring
- How sessions with deep_link_opened convert compared with the rest.
How to read lift
A strong hint about where to look, not proof of cause.
If sessions with search_performed convert twice as often, search may help people buy, or people who already mean to buy may search more. Use lift to choose what to test next, then compare before and after a change.
Questions buyers ask
Straight answers, including the ones that might send you elsewhere.
Does a feature with high lift cause conversion?
Not necessarily. Lift shows that sessions with the feature converted more often. It is a strong hint about where to look, not proof of cause.
Should screen views be one event or many?
Name the screens that matter, such as settings_opened or search_opened. A single screen_view event with no name cannot tell screens apart, because Respectlytics stores no properties.
Other event plans
The same approach for other parts of your app.
Try it on your own app
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