Raiffeisenbank & Geojet: Case Study

GeoJet Team -

Geojet works with a number of different multi-location companies and enterprises and we would like to share with you some of our cases, so you can take a look at how we’re solving real-life problems. The first case will be with Raiffeisenbank Russia.

Intro

In 2020 Raiffeisenbank Russia started paying significant attention to its presence on online maps and review services. Most of their profiles had incomplete data, contact details were missing or were incorrect. Moreover, there wasn’t any unified branding, most of the profiles were unclaimed and lots of already existing ATMs and banks didn’t have the appropriate digital presence.

It was understandable for Raiffeisenbank Russia that they need to have a partner with certain expertise and an automotive solution that would help them to apply this expertise for their multi-location business. That’s why Raiffeisenbank Russia chose Geojet as a vendor.

The Problem

Raiffeisenbank & Geojet set up certain goals:

  • Establish the process of automotive data updates for 150 branches and 1600 ATMs
  • The accuracy of information across all locations should be 90%. Prior to the start of work  it was only 55%
  • The completeness of the data in the profile should be 90%. Before the start of our cooperation it was 73%
  • Set up a continuous competitive analysis. That was especially interesting, as an ATM, in comparison to a bank branch, could be placed to the location with the biggest amount of walking traffic

The Solution

With Geojet the accuracy of information was elevated to 99% and the completeness of information went to 98%. What’s especially interesting this has been done on 20+ online maps and review services: Google Maps, Apple Maps, Yandex Maps and 2GIS (used mostly in CIS), and a few others. Moreover, industry-related review services were connected as well and Raiffeisenbank Russia started actively working with customer feedback in these channels.

Furthermore, a competitive analysis based on distance, ratings, and reviews has been done. Speaking of reviews, a detailed semantic analysis, including sentiments of reviews, has been done, which allowed Raiffeisenbank to get additional customer experience insights.

All of that led to:

  • Views have increased by 29%
  • Discovery visits have increased by 45%, meaning that ATMs and branches became discoverable not only via their names/addresses but also via their categories
  • The number of created routes has increased by 44%
  • The number of site visits has increased by 24%
  • Conversions from online maps and review services have been increased by 98%

Would you like to get the same results for your business? Contact our team to find out how we could help you.