Grocery Store Checkout Case Study
MishiPay Case Studies
MishiPay Case Studies
In 2020 we launched our technology with one of the leading grocery retailers in Spain. We deployed across four of their stores in multiple formats including inner city convenience stores, larger supermarkets and big box hypermarkets. We activated the MishiPay iOS and Android native apps alongside our web app that can be used straight from the user’s browser, without the need to download the app. We also integrated with the retailer’s backend systems. This included their Product Catalog, containing over 5 million items, and 720 promotion combinations.
Grocery stores are visited regularly and retaining a shopper’s custom is vital. Whether it’s a large shop once a week or a smaller “top-up” visit, the visit frequency of supermarkets means that solutions that save shoppers time and improve their experience when in-store have huge value. Therefore, user retention is a vital metric when measuring the effectiveness of new technology.
During our deployment, we have seen market-leading retention figures with 83% of our users retained over a 30-day period. When combined with the user feedback and ratings we have achieved, this demonstrates the value that our self-scanning technology delivers for shoppers. Request the full case study to read more about the technology that powers this kind of user retention.
Retailers have had access to lakes of data about their online shoppers for over two decades, but exactly what is happening in their brick and mortar stores is much more of an unknown. Our technology generates priceless data insights for retailers to fill this void and to create opportunities for onward marketing and future conversion. Click above to request the full case study to find out more.
A key metric that our technology helped our client understand was the average length of a user’s shopping session, and how this varied across their different store formats. In their supermarket and hypermarket stores this averaged at 16 minutes, but was markedly lower in their smaller stores.
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In order to measure the impact of MishiPay, the following analysis was conducted.
The analysis consisted of 3 cohorts of users:
User groups A,B,C “store visits” and “total spend” were compared between Q4 209 and Q4 2020, based on the shopper’s loyalty card number.
The analysis concluded that: