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Kedi Analytics App Marketing and Analytics Wednesday, 6 January 16

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Kedi AnalyticsApp Marketing and Analytics

Wednesday, 6 January 16

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

Solution - Kedi Analytics

• Profiles

• Audiences

• Event Filters

Wednesday, 6 January 16

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

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

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

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