Before DataMilk became the fastest approach to enterprise ecommerce user experience (UX) solutions, the VC-funded startup had to start somewhere. Today, the company provides clients with artificial intelligence (AI) UX optimization that rivals that of Big Tech to help them grow their respective brands and provide the best experience possible for its customers and users.
Founded by Peter Szalontay, the high-performing and high-growth company is composed of UX experts from companies like Google, Facebook and Mozilla.
“My goal was to surround myself with people so smart that they make me uncomfortable, while taking us on a joyful journey and creating financial prosperity for everyone involved — our customers, team, and investors,” Szalontay stated.
Prior to founding DataMilk, however, Szalontay put in the work, having led a 1,000-member team as a leader of the product management search team at Google. In fact, his team founded the model in which the tech giant still operates today as part of its responsive search ads, which centers on automated copywriting. Additionally, he also played a major role in the team producing a line of $100 million in just a mere six months!
Here’s how he turned an idea into a seven-figure business.
DataMilk, a Recollection
Szalontay recognized that both the UX and data science were a great pair in generating revenue. He learned this while still at Google, as the UX optimization was the top revenue increase generator for the better part of the last decade.
Having created a responsive search ads initiative at Google that reimagined the ad creative optimization process, a campaign that was literally built from the ground up, he came up with the idea of creating a harmonious blend of both machine learning and human creativity. Szalontay believed humans could provide ad copy ideas and machines could generate the final copy.
“Outside of Google, I’ve experienced how much effort it is to do UX optimization the traditional way and it just doesn’t scale,” he stated. “I started to wonder whether humans could load UX ideas into software and then have machine learning present the right idea to each end-user.”
Having realized this at Google, he wanted to set out on a path to make the idea a reality.
He linked up with former Google employees and took a deep dive into ecommerce. If the approach worked, then it could easily be demonstrated to potential clients, the profitability and possible increased revenue and profits. Plus, it all makes for a great foundation for business.
“We had no idea whether it would actually work, especially since my methods were tailored to Google and that isn’t really an ecommerce site,” he said. “We needed to build up our expertise. We first found partner sites and offered free work and, via our systems that enabled us to run many experiments simultaneously and measure results, began to provide results.”
The budding team began performing A/B tests, backed by numerous and exciting ecommerce UX hypotheses that would potentially increase revenue over the span of 120 experiments until they found one that worked. The one that shined was surprisingly profitable and, after testing on their partner sites and coming up green, the team knew they had something revolutionary.
“That was the moment we felt that we had the chance to make DataMilk a reality,” he said.
The team began to build each component to test from scratch and perform numerous multivariate mathematical tests in what was a difficult manual process. Initial experiments paved the way for the team to develop DataMilk, which features an enabled no-code smart component that was strung together with data and a central brain that ultimately decides what and when to show.
“These components are based on the UX that’s proven to convert for ecommerce,” Szalontay mused. “They’re powered by AI, so humans don’t have to do any of the work of traditional optimization. With just a few of these smart components installed on a site, the path to self-optimizing UX is clear. Since there’s no-code, anyone can build without the need of seeking services from product teams, designers and developers and engineers.”
It has been an exciting and, at times, crazy journey for Szalontay and his team, but the dream was realized and DataMilk has proven that self-optimization via automated UX is more attainable than ever.
With staggering revenue possibilities, backed by revolutionary processes and a team of experts, DataMilk is proving the future of ecommerce is now and they are leading the charge.
About DataMilk
DataMilk is an end-to-end solution for e-commerce UX optimization, from AI and data infrastructure to ready-to-implement optimizations. DataMilk is built on attention data: signals showing every user interaction on your store like click, scroll, view, and more and know exactly where customers are focused in real time delivering the most relevant experiences for the customers — and increasing sales for e-commerce retailers. For more information on how to join and build the next generation of UX, please visit https://www.datamilk.ai/
