Multi-unit operators

We just studied 164 retail stores. The average store doesn’t exist

Author: Chris Hogan, CEO Key takeaways We measured 164 stores. Conversion averaged 21%, with top performers at nearly 47%. Customer-only traffic varied by >25x across different stores Each of these stores has a wildly different story that would’ve gotten buried in the average. We highlighted five of them Comparing your stores against each other, instead of against the average,...

Retail monitoring on a store floor: a manager with a tablet, a counted customer and a sale credited to the rep

Less Work, Not More: How Smart Monitoring Should Save Managers Time

Key takeaways The problem with most retail monitoring reports is information a manager can't act on. A number with no store and no next step becomes a research project Done well, monitoring gives a district manager time back in five core areas Asking three essential questions before testing any tool will determine whether you’re saving time for your...

What Causes Performance Variance Across Store Locations?

Key takeaways Lost profit is typically concentrated in a handful of stores, shifts, and reps Your reports don't often reveal the source of your problems because averages blend away the store-level and rep-level detail Fixing your worst stores usually beats opening new ones Uncovering rep-level conversion and store-level operational issues is the key to recovering that lost profit When you...

How the Best Retailers Use Idle Time to Their Advantage

Key Takeaways Idle time is normal, and there's usually more of it than operators think. Cutting hours to zero backfires, because the staff who lean in the quiet stretches are the ones who carry your peak. The win is directing those empty hours on purpose instead of letting them slide. Walk into one of your stores at 11 a.m....