Occupancy Management for Colleges: Case-Study
Challenge A top rated private liberal arts college was looking to safely reopen to students. Real-time occupancy monitoring was a critical need for Covid re-opening, particularly in the main din...
Real-time People Counting
Most people-counting software on the market lives firmly in the batch world. And that’s okay. For many analytics purposes, you need to know what’s happened over days, weeks or months. Knowing wha...
Realtime Occupancy Management
Google Analytics might be the single best behavioral analytics tool ever built. It’s streamlined, elegant, very capable and incredibly user-friendly. It also happens to be free. So it’s no surpri...
Applied Display Analytics : Operationalizing Test & Measure for Display
One question I often get when people first start thinking about display analytics boils down to "why should we care – especially if we sell other people’s stuff?" It’s a fair quest...
Display and Merchandising Analytics in the Store
You have a new display. A feature table. A shoe wall. An endcap. And you want to know if it’s working. You can and should measure product sales. But that tells you nothing about opportunity or conv...
Case Study in Merchandising Analytics
If you’re thinking about the possibility of bringing Test & Measure methodologies to improving in-store marketing, you’ll find this article from Applied Marketing Analytics (Vol. 6) both inte...
Technology Choices for Measuring People-Based Processes
The Measurement Minute by Gary Angel If store-side operational measurement is a huge miss - making it impossible to improve processes around things like curbside pickup - how do you get ...
Store-side Op Measurement is a HUGE Miss
The Measurement Minute by Gary Angel A lot of the worst aspects of the curbside pickup experience are driven by bad customer communications. But even with perfect communications, a thirt...
Breaking down a bad curbside pickup experience
The Measurement Minute by Gary Angel A lot of bad curbside pickup experiences are caused by 2 basic mistakes: not having a busy-time/overflow strategy and misusing core technologies like...