AppICE is a new App Marketing Lifecycle Management tool which helps marketers and product engineering managers understand the efficacy of their app marketing throughout the customer journey: Acquisition, Engagement, Retention, Monetization. AppICE uses patented machine-learning algorithms to decipher the real time context (WHO, WHAT, WHERE, WHEN) and behavior patterns to enable high personalized & in-the-moment experiences to be able to drive much higher engagement and transactions. Sign-up at http://appice.io.

2. Challenges for the Appreneur – Data Silo’s
Acquisition
Campaign source & cost data of
acquired users in different systems
Engagement
Combine Behavior with Context to
drive In-the-moment Engagement
Retention
Know Who is un-installing and
decide if you should re-engage
Analytics
Getting a singular view of the
above across platforms
Integrationchallenges

3. Launching AppICE
• Get the whole picture of
your App business
• Cross-platform
• Better Visualizations
• Single Well to drink from

Analytics
• Track across channels and
platforms
• Determine CPI & CAC
• Know which channels
deliver
• Understand context
Acquisition
(Installs)
• Measure who is churning
• WHY analysis
• Know Users at Risk
• Link to install sources to
optimize CPI spends
• Understand context
Retention
(Un-installs)
• Build Customer Profile
• Target based on what
interests your users
• Behavior
• App usage v/s competing
apps
Audience
• Track Events to map your
customers journey
• Create Funnels to track
performance of each
transaction path
• Understand areas of
improvements
Event &
Funnels
• Understand context of
users behavior & actions
• Who
• What
• Where
• When
Context from
Sensors
• 7 Tools (Push
Notifications, In-App
Notifications, Feedback,
Surveys, Polls, Ratings,
SMS)
• Leverage Context for In-
the-moment engagement
Engagement
• Track Revenues
• Increase LTV
• Who are the ANTs, DEERs,
ELEPHANTs and WHALEs
• Link In-App purchases
Conversion
• Know which segments to
engage and when
• Proactively identify users
who will churn and
engage to retain
• System recommendations
Predictive
Engagement
• Mobile App
• Mobile web
• Desktop Web
• Wearables
• TV
• Retail Stores
Omni-
Channel
-- One SDK --
Ready Ready Ready
Beta
Stage
Beta
Stage
Beta
Stage
Beta
Stage
Oct Dec 2016

4. Features (in-beta) coming in mid-August
• Install Attribution
• Create your campaign measurement / postback URL’s
• Audience Segmentation
• Context (See next slide of what you can do )
• Places, Time, Interests
• Campaign Creation (using Audience & Context)
• Push/In-App Notifications, Surveys/Poll/Ratings
• Targeting based on
• WHO is doing WHAT at WHERE and WHEN

5. Power of Personalization using Context
Who What Where When
24 7 5X
Is doing
X
at
X
and
Machine learning Activity / Events Place Time

6. Sign-up on //appice.io
Send Feedback/Suggestions to ravi@appice.io
Want to know more?
Call : Ravi Datanwala (+91 9820272227)