RozaMira gas stations increased fuel realization up to 26% by clients who have falling demand

A personal price for fuel was formed for clients with falling demand. The result was achieved after 2 weeks of using the service.

Business scale and background

The company RozaMira has 15 gas stations. Due to the limited local market, the tasks of retaining the existing clients base come to the fore.


Ensuring the return of lost customers at the expense of personal fuel prices, as well as increasing their average check through individual offers for related products.


Integration to the Mega Insight platform and the launch of a new mobile application that allows to form individual price proposals for fuel and goods for clients with advanced analytics by them.


Monitoring of the condition of clients allowed us to give a low price only to customers focused on it and, as a result, to keep sufficiently high prices for the stele. This approach maintains overall margins without falling sales volumes.
Key benefits
According to the internal report of customer and the data of Megainsight. For the analysis, we took the indicators for May-June 2021. As a result, the RozaMira gas station network was fully pay off the funds invested in the platform only on the basis of the growth in coffee sales. The rest of the sales growth is a plus!
in 2 times
increased fuel realization by clients who have falling demand
increased weekly gain of new clients
increase in sales of coffee drinks in the summer
ROI increase with Megainsight Platfotm
Net profit increased
Konstantin Goncharov
Board member
Service Megainsight began to give a stable result within 2 weeks after the start of use, which is confirmed by smiles and positive feedback from our clients at the gas station cash desks.
As practice shows, the times of loyalty bonus programs are gradually passing, so our main task was to "hook" new drivers of our city, and this solution was found.
Until the introduction of the Megainsight service, we did not work with our existing, relatively large, customer base and now we have a fully digitalized base, we build various consumption hypotheses and, as a result, each of our client receives an individual price for fuel and coffee. Thus, we constantly warm up our visitors and stand out against the background of other gas station chains, which was the main task of the company.

Key cases of platform application in customer

Return of frequent clients with falling demand

A detailed analysis of the consumption model of each client made it possible to form a number of parameters, on the basis of which it became possible to create target groups for clients whose demand is falling at the moment. In addition, the most demanded customers were determined among them by the monthly number of visited thr gas stations, the average bill and other parameters. This allowed us to single out a narrow group, influencing which the Company can get the maximum effect. Then, for the formed group, a coupon was sent to the application with a personal price for gasoline. Conversion for such coupons averaged 20%, and instead of falling demand for these customers, growth began.

Increase in sales of coffee drinks

As in case № 1, the first step was to form target groups by consumption parameters. However, this time the target groups of clients were determined by those who had never bought coffee drinks. It was hypothesized that a price-driven customer does not buy coffee at a gas station. For such customers, a coupon was created for coffee drinks with a special personal price reduced by 20-30%. As a result, in 30 days such clients managed to sell about 600 cups of coffee. At the same time, for those who previously bought coffee, the price has not changed. Those. RosaMira sold 600 more in a month, and this is in the summer. In autumn and winter, it is assumed that the sales volume will be 2-3 times higher than usual.

Who likes to buy goods

In this case, the functionality of automatic calculation of recommendations for each client of the gas station was used. A list of coupons for the most popular items of goods with prices reduced by 10-15% was created in advance. Machine learning algorithms made it possible for each client to form its own unique list of coupons, based on the purchase history of both the client himself and others similar to him in terms of the consumption model. Thus, each client automatically receives a truly personalized set of offers, which allows them to increase conversions by up to 40%.

Explore the product that has produced the result

AI will tell you about the dependence of buyers on the price and what kind of
783% ROI
3.5 M USD
ROI increase with personalized and automated promo marketing
Increase in related goods average check
Net profit increased (25 filling stations)
Customer return rate
ROI increase with Megainsight Platfotm
Net profit increased

What's become available due to Megainsight

Data collection and customer segmentation

Conversion control

Hierarchical pricing

Improve customer service quality

Target offers and prices

Branded mobile app for clients

Creation of a single place for storing and processing all client data, followed by deduplication and normalization. Convenient interface for forming target customer groups by consumption parameters for a task or hypothesis, depending on the needs of the company.
The ability to track key business metrics and their dynamics of changes for each target group of customers formed in the platform.
Transparent ROI analysis for each price coupon, which allows you to form a client group among those who used it / did not use it for further impact and increase the conversion to sale.
Providing gas station operators with recommendations on the goods that need to be offered to the client during his identification made it possible to standardize the client service within the entire network.
Flexible functionality for creating holding shares in the form of coupons that can be linked both to a specific group of clients and individually to each client, depending on recommendations from machine intelligence.
A completely updated mobile application that allows to conduct personal communication with the client and increase his brand loyalty through gamification and personal discounts.

Case Studies

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Increase in average bill
Increase in marches per ton of fuel
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RozaMira gas stations increased fuel realization up to 26% by clients who have falling demand
Increased fuel realization*
Ensuring customer return
Increase in average bill
Increased weekly gain of new clients due to the ability to share coupons to friends
in 2 times
Resource-Oil fuel chain showed explosive growth of the loyalty program participants
Average week new customers growth
Average cross-sell growth
Active customers growth among digitized
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