UserHabit is one of the most advanced Mobile App Analytics for Behavioral Insights of your apps. Please have a look and contact us!

1. UserHabit
Service Introduction
Mobile Analytics for Behavioral Insight of UX
2016.02
AndbuT
© 2016. AndbuT All rights reserved.

2. 01 Service Introduction
What is UserHabit?
Enhanceuserexperience
Throughtheoptimizingmobileappbasedondata.
Fast Iteration for Optimization
Seize an improvement point
Understanding the value of elements
Mobile Analytics for Behavioral Insight of UX.
“ Not only measurement of performance,
but also Behavioral Insight”

3. Light–weighted SDK
Less influence in app performance
Minimize users’ data usage
Low SDK file size
01
We make complicated process of data analysis into
An Easy, accurate Analysis Solution
Easy integration
No Event definition
Less code
Real-time Data Collection
Service Introduction
Universal data collection
Collecting all user flow
Classify the action type
Recognition unresponsive action
Replay / Heatmaps / UserFlow map / Crash
Intuitive analysis report
Quantification of qualitative data
Automated user pattern analysis
Various chart and numbers
All screenshots and objects images

4. 2-1 Dashboard02
Dashboard provide the selected index, real-time
report and visualized chart and information.
Having the best index and data optimized for
user’s behavioral analysis, you can check the
overall status of app usage at a glance.
Contents
1-1 Main Index
1-2 App Activity Chart
1-3 Behavior Activity Chart
1-4 User Flow
1-5 Crash Report
1-6 Technical Information
1-7 Location

5. 2-2 Screen Analysis02
Screen Analysis provides the visualized
information where users touched on the screen
with what types of gestures, as well as the
sequence of the interactions to analyze the value
of each screen.
features: Screen Ranking, Heatmaps, Object
Tracking, Interactive Action, Scroll Analysis
Contents
2-1 Screen Ranking
2-2 All Screens
2-3 Screen Details
2-4 Screen Navigation

6. 2-3 User Flow Analysis02
User Flow Analysis shows the flow of screens that
all users have used from start to end. The users'
total movement path between screens and traffic
sizes moving between screens are indicated in
interactive charts.
Contents
3-1 All Flow Analysis
3-2 Section Flow Analysis
3-3 Detail Path Analysis

7. 2-4 Replay02
Replay shows the list of entire user data. You can
filter users’ sessions by session length, number of
users, devices in use, included screens and
crashed sessions, etc. In addition, a single user’s
all sessions can be listed at once, allowing for in-
depth analysis of the single user.
Contents
4-1 Session Replay
4-2 Filtering
4-3 Crash Analysis

8. 2-5 Others02
Powerful Filters
Group user data using various filters
• Global Filter: Location, App Version, Period
• Optimized Filters in Screen Analysis, User Flow
Analysis, Replay
Test Mode
UserHabit provide the Test Mode to help you test
the SDK is successfully integrated in the app
before you release your app in production. This
helps to filter out the test data from real users’
data.
Setting & Management
Providing various options and settings to help
developers optimize the console with the app.

9. Thank you
CEO
Hyun-jong Jung
TEL. +82 (0)10 2620 4450
MAIL. andbut2013@gmail.com
For further information, please contact us.
© 2016. AndbuT All rights reserved.
CONTACT INFO.