The applications of Menu Analytics
I feel like one of my favorite restaurants could be doing better financially. I think it’s a great application for menu analytics.
Three direct competitors have opened over the past two years. There are of course other indirect competitors that have roared into the area: a Tim Hortons on the corner of Spadina and Adelaide and the ‘take lunch to work’ alternative. The biggest competitor, as I see it, is the “take lunch to work” alternative, which has really reared its head in the area. And understandibly too.
I estimate that two years ago there were around 10,000 daily workers in the area. The area is filled with advertising agency folks, a few fashion houses and design agencies, a couple of software firms, and quite a few architecture firms. This service and knowledge industry wasn’t hit as hard by the high Canadian dollar as the manufacturing industry was, but $150 oil had an impact. Then the bubble really did burst and the area has undergone a lot of contraction. Entire floors of buildings that once housed architects are empty. I estimate that even though the Canadian economy has really undergone at 10% fall in GDP taken altogether, the impact on the advanced service sector has been cuts in employment as high as 30%. One architecture firm I know collapsed from a headcount of 40 down to 5 over the course of 2 months.
The area does have some population density to it. It’s generally an area that attracts many younger tourists from abroad, but it suffers from a relative lack of cheap public parking. Tourist numbers seem to be down. Lunch is a major money maker for the restaurant and a market that it can’t afford to ignore.
The menu there hasn’t changed in two years, except for a few stickers written over a few of the items. Stickers are absolutely horrible practice because it alerts the reader that a price has really changed and gone up. The menu also suffers from too much selection, and I know the 80/20 rule is strongly in effect (80% of the people order from the same 20% area of the menu) just from seeing what people order. And I’m there very often. In fact, my behavior isn’t all that uncommon either – a patron will commonly select one restaurant to patronize more than 50% of the time.
For them, I would:
- Enter their menu, and their competitors menus, entered into a database.
- Enter volume of each item sold and the food costs for each item for their restaurant.
- Identify which menu items are sleepers, primes, standards and problems based on the statistics.
- Recommend which items should be deleted, at least from the lunch menu, to ensure efficient food service.
- Run the competitive analysis, and based on the facts, the owner could decide what sort of a price point would be appropriate: while not competing on price alone.
- Look for keywords and ranks that should be used to draw attention to the items with the highest dollar margin.
- Look for and suggest keywords that communicate value and comfort.
There are opportunities for that restaurant to get an edge on the competition. And it’s a case that I’ll get to make more directly – soon.