Analytics + Marketing

1. Kedi Analytics
App Marketing and Analytics
Wednesday, 6 January 16

2. Challenges
• App downloads tracking
• App usage tracking - which pages are used most?
• App Flow tracking
• What stage the App customers are in?
• Why the customers are dropping out?
• How to segment App customers?
• How to Automate Push Notifications?
Wednesday, 6 January 16

3. Solution - Kedi Analytics
• Profiles
• Audiences
• Event Filters
Wednesday, 6 January 16

4. Profiles
• Create Profiles - Auto create
• Default profiles based on last app version, os
version, total sessions, first session date, last
session date, user type, last city, last country,
device_time_zone, language
• Profiles are for customers
• Assign to an organization or particular App
Wednesday, 6 January 16

5. Behavior
• Track and filter customers based on behavior
• Example:
• Clicked this page vs that page
• Based on transaction status
• Based on customer attributes that are sent as
part of the Kedi App
Wednesday, 6 January 16

6. Audiences
• Create Audiences based on Behaviour and User
profile
• Audience example would be to create
• Users in this region with this behavior
attribute
• Users with OS version clicking this page etc.
• Customer behavior with customer profiles
Wednesday, 6 January 16

7. Why Kedi
• Track your customer app usage
• Send push notifications based on profile, behavior
and default profile attributes
• Beyond App installs
• App usage discovery
• Drive customer acquisition by creating campaigns
• Reduce the cost of customer acqusition
Wednesday, 6 January 16