We at RevX strive for enabling a good ROI for our advertising partners. Most of our customers measure ROI in terms of eCPA (Cost per Acquisition). RevX technology intelligently buys media on programmatic exchanges and prediction models are central to achieving the twin goals of delivering good ROI for customers and ensuring the business runs on healthy margins.
RevX processes terabytes of data on a daily basis. This imposes unique challenges in terms of volume and speed at which data can be processed. At RevX, we experimented with two data processing patterns. In this blog, we will talk about pros and cons of both patterns based on our experience of dealing with large volume of real-time data.
I have been involved with digital ad technology for the past six years and have had the privilege of both witnessing and participating in the fastest-growing and one of the most demanding technology landscape today.
Today, I give you a glimpse of this journey – about the humble beginnings of RevX technology stack and how it has evolved into a programmatic beast, with several parts working in tandem to make cross-channel performance marketing efficient and effective for our advertisers.
At RevX, we are solving complex problems in data-driven, programmatic mobile advertising domain. Building a great technology company requires building a culture of innovation and encouraging its employees to take risk, and Hackathons are great way to do that.
We launched performance advertising platform for mobile app about six months ago in India and South East Asia, and have made significant progress in helping app developers grow post-install engagement through our data-powered, programmatic platform. RevX helps app developer engage with their app users on 15000 other distinct apps with highly-targeted, personalized ads, and automatically optimizes media buy to deliver on marketers ROI goals.
Allow me to introduce you to Nick. Nick works as a Campaign Manager for an E-commerce giant. In his free time, he enjoys tap dancing. He has had a successful career so far and is recently made responsible for running the company's remarketing efforts in a new geography. In the absence of information about geography specific parameters that would fetch him desired results, Nick, smart guy that he is, uses lessons from the existing market.