Our Story

Bringing Collaborative Analytics to Everyday Retail Operations

There’s always a better way. It just takes someone to take the first step. In the case of Market6®, it was a group of senior retail industry experts and technology pioneers with decades of experience developing demand forecasting and analytic solutions for companies like IRI, AC Nielsen, Efficient Market Services, Procter & Gamble and General Mills. In 2006 they founded Market6®.

Their vision was to provide retailers and their suppliers with collaboration tools and analytics that truly helped to move the needle by making how retailers and suppliers work together smarter and more effectively. They knew things could work better—so they analyzed collaboration and analytics themselves and realized that there were some key things missing. Accessibility. Ease. And some other important traits — six in all — that could make all the data being captured out there more useful. The result was Market6 — a suite of analytic solutions that embody the six key traits that are essential for analytics to deliver business impact.

Over the years, hundreds of leading companies have trusted Market6 for predictive analytics, including Kroger and more than 1,200 consumer goods companies. Our formula has proven successful by some of the largest retailers and CPG companies in the world that have used our solutions to improve their operations every day. In August of 2016, 84.51°, a powerhouse in pioneering customer engagement, merged with Market6. 84.51° now leverages Market6's technology, IP and people to expand its work with the Kroger Company, as well as Kroger's regional grocery retailers and the CPG business. 

 

The Six Traits Collaborative Retail Analytics Need to Deliver Business Impact.

 

Unified

Unified

Effective collaboration requires that all parties be on the same page. Retailers and suppliers need to have a single, shared view of the business – a single version of the truth -- and be using the same standardized reports, metrics and process tools based on a single shared set of comprehensive data. Using the same facts and insights allows retailers and suppliers to avoid debating underlying facts, improves shared understanding and expands their ability to focus on strategic issues.

Predictive

Predictive

Today’s hyper dynamic retail environment demands that retailers analyze and derive insights out of massive volumes of information, not only with respect to what’s just happened but also relative to what’s about to happen. Analytics must be delivered in real time, take advantage of the most recent information and be forward looking so you can stay ahead of your competition, anticipate customers’ needs and take proactive action to shape future outcomes. 

Accessible

Accessible

To be actionable, analytics should be delivered to business users in a way that is easy to absorb and react to in the course of daily business workflow and decision making. You should not need deep analytics expertise or support from an IT team to access or use the information. People across all departments should have instant, easy access to the same up-to-date information so everyone is on the same page and in sync. 

Effortless

Effortless

Analytics should save you work—not create more. They should be seamlessly integrated into everyday retail business processes and metrics to simply guide users to smarter decisions in their daily job activities. The complexities of data management and analysis should be invisible to users so they can get what they really need—new analytic insights—without having to be experts at data crunching or analytic modeling.

Transparent

Transparent

Analytics should provide understanding and confidence in decision making through the ability to see both the big picture and how it is derived. People should always have the option to drill down deeper into the underlying data at any level, no matter how granular. When users can see for themselves where a number came from, they can more confidently interpret what it means and decide on the right course of action.

Agile

Agile

Change is just about the only constant in retail. Even the most advanced retail analytics solutions must be nimble and agile enough to keep pace with changing data needs. The best analytics feature a flexible architecture that permits organizations to evolve efficiently without requiring excessive time and resources to adapt to change.