Providing companies with intelligence to scale their businesses efficiently
Rockerbox wasn’t founded to be an attribution company. Our first ~3 years were spent building technology to enable performant prospecting campaigns for Fortune 1000 brands. Throughout that process, we were exposed to various attribution vendors as they were often technologies evaluating our campaigns. The more we were forced to work with these vendors, the more we realized we didn’t love any of them.
What problems did we encounter? Onboardings took up to a year and reporting was always weeks if not months delayed. Customers were forced into the same statistical models regardless of the unique elements of their business. Offline and online were never combined and reporting was extremely broad — completely impractical for a marketer.
Even worse, with the market moving towards in-house and direct-to-consumer brands, we knew that none of the overpriced legacy enterprise grade solutions would suffice. All of this led us to launch Rockerbox Attribution Platform just over a year ago. It’s the attribution platform that modern in-house marketers want and need: fast, simple, enterprise-grade attribution that doesn’t come in the way of their existing media budget.
Rick is the Co-Founder and CTO of Rockerbox. He directs the company's product and technology vision. Most recently, he led integrations at AppNexus for companies such as Facebook and Yahoo. He also was a founding data science engineer in AppNexus’ Marketplace-Analytics group. Rick holds a B.S. in Mathematics and Economics from Harvey Mudd College.
Emaad is an Optimization Analyst at Rockerbox. He previously worked as a Research Associate at the Memorial Sloan Kettering Cancer Center. Emaad recently graduated from the Macaulay Honors College at Hunter College with a double major in Biochemistry and Mathematics.
Ana is an Optimization Analyst for Rockerbox. She is a recent graduate of the University of Pennsylvania where she studied Physics and English. Ana uses her math and science background to inform her approach to business challenges. She also loves reading about or looking at art, as well as cooking (and eating) food.
Nitya is a Data Scientist with a passion for problem solving and using data for effective decision-making. She holds a PhD in Astronomy and aims to apply her training in scientific research and machine learning to understand, build and tune marketing attribution models. She also organizes for the NYC PyLadies where she actively champions open source software and inclusivity in tech.
2018 & 2019
Best Marketing Attribution Software
Adtech Startup of the Year