Solution: Checkout / Menu Optimization
Deciding whether or not to drop an item from a menu is like deciding to take a player out of the lineup. Morale may suffer and fans might get angry, sometimes expressing their rage on social media. It’s a decision that can’t be taken lightly.
What We Found
It turns out the menu item in question was one of our client’s least popular items, with only 5 percent of customers purchasing the item at least once—as shown by Checkout’s Menu Optimization analysis. Only 2 percent were incremental buyers of the product, spending more than half of their wallet on that item. In short, a vast majority of our client’s customers would be unaffected if the menu item vanished.
A vast majority of our client’s customers would be unaffected if Item X vanished. Item X was the primary sales driver for only 2 percent of their customers.
We presented these findings to our client’s senior leadership team and the Checkout data helped them decide to remove the product from its menu in all geographic areas except those where Item X was especially popular.
Checkout helped this operator make the call to remove a menu item that wouldn’t be missed by many customers.
Related Case Studies