Think Broad, Mine Deep, Explain Simply. This philosophy guides everyone at our organization. In real terms, it means we’re producing the key customer lifetime value metrics before you have to ask, and delivering strategy recommendations through simple, beautiful reporting.
Our Approach
We take a customized approach to research and data, using whatever information you already have, whatever is publicly available, and generating whatever else is needed through a mix of qualitative and quantitative design, economic modeling, and advanced data science. We guarantee that we produce the most accurate customer lifetime value information available to your organization.
About Our Name
Emperitas is a hybridization of two Ancient Latin words: Auctoritas, which means to have influence or respect based on results, and Imperium, which is the right to direct and guide. Together these words form the core of who we are as a tech company, striving to win your business because we’ve earned your trust and respect through proven expertise.
Our History
It’s only fitting that a startup founded by Economists would be born during the Great Recession.
At the time, Emperitas was being incubated at the University of Utah as part of an applied research & analytics program created by Emperitas CEO, Luciano Pesci. While this experiential-learning was a huge success that continues today at multiple universities, Emperitas launched separately with the singular goal of providing faster market research and deeper data science to the market.
Initially, our clients asked us to find actionable segments through clustering methods, but soon we were helping marketing teams sort out attribution and sales teams score leads with machine learning. We helped other clients find product-market fit using a proprietary process of qualitative and quantitative research, and modeled customer preference using discrete choice analysis and our unique economic expertise.
Virtually all the problems our clients wanted help solving bridged the divide between their internal departments, so by necessity we mastered the art of breaking down data silos and creating a centralized environment with clear data governance. As our clients progressed in their data maturity it allowed us to focus their disparate efforts into an important economic KPI that was being overlooked: Customer Lifetime Value (CLV).
It wasn’t for a lack of enthusiasm that CLV had gone unaccounted, it was because calculating this single metric required connecting data from all touchpoints in the customer journey. Customer Lifetime Value also required dealing with the Pareto Principle (aka 80/20 rule) that 1 in 5 customers drive virtually all value, a problem cluster-based personas and customer journey maps built on data are perfect for solving.
Today, we’ve productized our economic data science expertise into a monthly Services as a Subscription for customer lifetime value insights and analytics. Through agile methods, bi-weekly reporting, and a human project executive, Emperitas turns your data into a clear picture of your customer value, personas, and journey – empowering you to make data-driven decisions about customer acquisition, customer retention and customer growth all based on individual lifetime value.