In this 30 minute webinar, analytics expert and author Mark Ryski will discuss the findings from a traffic and conversion study that included data from over 600 stores across four categories. The focus of the study was to measure the impact that simplified reporting and data-driven coaching for store managers could have on in-store conversion rates and sales productivity.
The results were impressive – the study showed net sales productivity lift of 537 basis points and an average sales productivity increase of $.67 per traffic count.
In addition to the study findings, Mark will discuss how store traffic and conversion data can be used to help measure virtually any in-store experiment. He will share important lessons learned about the challenges of using the A/B test methodology.
Why simplifying your data and improving how you present it is so critical
How coaching helped store managers activate insights and what the barriers to action were
Challenges of measuring and interpreting A/B test results and how to work around them
Why store traffic and conversion data are the only truly valid measures for accurately testing virtually any in-store experiment