Sephora & Geojet: Case Study

Zach Pokudov -

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. Our next case will be with Sephora.

Intro

In 2022 Sephora began to integrate online maps and review services into their marketing strategy. Having more than 70 locations they didn’t have the platform to manage all of them in multiple online services. That led to the following problems: a lot of company locations were missing crucial information, such as a telephone number or a website, some profiles were having not only incomplete, but also incorrect data, and other profiles were unclaimed or even claimed by different people. In addition to that, some of the existing brick-and-mortar locations were not present in the digital world.

Sephora pays serious attention to digital marketing and customer experience and therefore they started looking for a partner, who could help them to navigate a tricky world of local search, online maps, and review services. That’s how our cooperation began.

The Problem

Sephora & Geojet set up certain goals:

  • The data accuracy across all locations should be 90%. Before the start of work, it was only 75% and contained heaps of irrelevant photos
  • Completeness of the business profile should be adjusted accordingly
  • Establish a platform to work with reviews
  • More than 90% of brick-and-mortar locations should be present online

The Solution

With Geojet the data accuracy was set to 98,6% and missing or incorrect information has been fixed accordingly. That has been done on various online maps and review services with special attention to Google Maps, Yandex Maps, and 2GIS (used mostly in CIS). The digitalization of brick-and-mortar locations has been also successfully implemented and more than 98,6% of Sephora’s locations can be easily found on online maps.

Moreover, a comprehensive competitive analysis has been conducted where 8691 business competitors have been analyzed. The semantic analysis allowed Sephora to understand what’s being said about them and their competitors in customers’ reviews. In addition to that, the process of making posts and posting stories to online maps and reviews services also have been automated.

All of that led to:

  • 100% response rate
  • x2 increase in discovery searches
  • 50% decrease in spent time working with reviews
  • x2 increase in time efficiency on posting content such as photos and local posts

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