Marketing analytics implementation
Improvisation in matrices:
– Conversion rate
– Return on ad-spend
– Cost per click
– Cost per acquisition
Audience and user persona building.
POC on dynamic logic engine (client-side server) for ad-bidding
Ad personalization for mobile interstitial ads, audience mapping (DMP, DSP)
USE CASES
Marketing Ad spend optimization, CX analytics
TECHNOLOGIES
Hadoop, Hive, Kafka, Google Cloud, R, Flume, Google Ad-Exchange, SAS
CLIENT
A global leader in mobile gaming.