UBER being a well known Utility App, solving the daily commute problem, wanted to drive & acquire more New/First time users.
Tailor Made, Data Driven, model was created consisting of several targeting parameters including User Appography info, location, timelines etc. to help UBER identify more New Potential Users.
Within One year, core customer model was built , which drove 85% signups that converted into 40% New User taking their first rides with UBER.
A Tailor Made Data Model consisting of several of targeting criteria, was created for UBER to help drive new/1st time users who will use UBER to solve their daily commute problem.
The Model, included parameters User Insight Analysis, User Segment, Geographic Detection, and also includes Day Time or Week wise Time spend Analysis.
Targeting Techniques used to Grow Success with Conversions
The Targeting techniques coupled with the Tailor Made Data Model conceptualised along with the campaign ensured conversion to increase the ''New Users''/1st time users for UBER
User Attribution in terms of App Detection of what all apps he/she has, how many times does he/she uses the app, what kinds of ads he/she clicks & through online transaction records was created to ensure effective targeting.
MoMAGIC helped UBER ensure location wise targeting going up to effective city/town as well as targeting based on peak hour travelling of the Digital Audience to ensure more conversions.
Campaign was paced up during rush hours to increase new potential/first time users for UBER. Retargeting with Various Dynamic creatives ensured to get higher conversions.
The targeting was coupled with User segments obtained in terms of Business Professionals, Small Business Owners and Millennials/Student Audience as they are the tech savvy audience & are early adopters.
With Appography, Targeted users who have food delivery, News, Shopping & other travel apps for better results. This ensured a better audience who are prospects of using these kind of Utility Applications.
Built Target Audience Model
MoMAGIC Data Driven Intelligence to create a look alike for UBER
Sample of Optimization Done to Increase Campaign Effectiveness
Time Line vs Conversions Rate Vs Week
Maximum First Rides %
First Rides % -Weekday Wise
Creatives Optimization -Ran A/B testing to maximize the usage of the most effective creative to encourage call-to-actions
CVR – 6.33%
CVR – 5.78%
Partnering with MoMAGIC, Led to Bookings,Conversions and a Lot More Traffic for UBER
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