Episode#26

Making more sales out of existing locations is vital in maximising opportunity, and most importantly, keeping franchise owners as profitable as possible.

In Episode#26 - Jeff Vassel, Global BDM for geotech, talks about gathering and analysing the data from a single franchise location and interpreting it for the best possible impact on that location. 

Key factors in this process such as combining data sources, data variables, data overwhelm, product category analysis, and the key levers used across business, in particular in the QSR space are covered.

A focus on the key variables and examples of what that looks like puts some practical, real-world context on how this looks when undertaking the analysis of a locations or locations.

The concept of focusing on the characteristics of, and understanding why certain stores 'over perform' plays a vital role in maximising location performance to apply those learnings across a network as best as possible.

0:51 What geotech does in data analysis and planning for franchise companies

1:24 Where to start in the process of analysing a franchise location to help it generate more sales.

2:21 The concept of understanding more about the stores that 'over perform' in a franchise network, why that's important and how it is done.

3:40 How is the analysis physically done today with generating the data needed.

4:30 Combining data and what that looks like from a client, and how much data is available.

5:25 The problem with the large volume of data brands have.

6:10 Interpreting data to make it practical and useful for improving sales and having an impact in the business.

7:05 The most important variables in data that are most often useful in analysis with brands.

8:18 Can the fixes to trading problems be as simple as trading hours, signage location, menu range and similar, and how is that articulated to clients?

9:39 The key levers used across businesses like quick service restaurants (QSR). 

11:15 Helping brands adapt their offer to drive thru when they haven't been built for it.

11:49 Product category analysis for product ranges that would perform better in certain locations and how they go about optimising it.

13:26 Light bulb moments with brands on information uncovered in analysis.

14:40 Recommendations for where to start to maximise a location off the data they have or can get.

Podcast Produced by: magnetic business media

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