5 minutes to read
5 minutes to read
Stardogs is a legendary company with 30 years of history, the first Russian fast food chain that pioneered the new format and became the progenitor of the fast food industry.
As of the moment, their signature retail chain includes both branded and franchise sales points, along with hot dog stands at gas stations.
Despite their long experience at the Russian market, the company had no effective tools to collect and analyze their latest client data. PremiumBonus offered them a detailed polling of their audience as an effective solution.
The new (for the company) high quality audience research mechanism using the CRM and a mobile app was tested and fine-tuned successfully
Up-to-date feedback was collected from both loyal guests and those who have not come back in a while
The hypothesis related to the client consumption scenarios was verified
Replenishing strategic data pertaining to the company’s TA to serve as a basis for key decisions like choosing sales points locations and adjusting their business hours
The company lacked convenient and effective audience research tools to develop the best marketing strategies.
Stardogs set a global objective: to find an effective solution for an all-encompassing update of their database with information about their target audience and collect client feedback concerning their attitudes toward the brand. They contracted PremiumBonus to do that.
The company needed detailed, expansive and in-depth information that would give them an idea of what drives people to become Stardogs clients, and which factors make them loose their interest for the brand.
PremiumBonus experts ran a comprehensive analysis of the client’s objectives, choosing online polling as the best solution to achieve their goals.
The company lacked convenient and effective audience research tools to develop the best marketing strategies.
Stardogs set a global objective: to find an effective solution for an all-encompassing update of their database with information about their target audience and collect client feedback concerning their attitudes toward the brand. They contracted PremiumBonus to do that.
“We can get the numbers from our records systems, independent of the clients. But they only tell us ‘when’ and ‘how much’, without giving us a full understanding of the ‘why’. Polling is the most suitable tool for an objective like that. Our concepts of consumers and their behaviors that exist inside the company do not necessarily match what happens in reality. We wanted the poll to solve two issues. The first was to understand why loyal clients choose Stardogs. The second was to know the reasons why they could leave us.”
Tatyana Kornienko,
Marketing and Franchising Director, Stardogs
Client base segmentation
The first and the most basic stage for any successful online research is to single out client groups the research would be focused on. For Stardogs, these included two groups of clients:
loyal clients who make purchases regularly
inactive clients who have not made any purchases in a while.
PremiumBonus experts developed specialized questionnaires for each group, offering them to choose from multiple options formulated beforehand. The questions were designed to give the company the best understanding of clients’ attitudes toward the brand and their consumer behaviors.
Newsletter setup
The poll newsletter implementation used two mechanics:
Push messages
The method was used for clients who have already downloaded the Stardogs mobile app and linked their loyalty card to the Wallet.
SMS messages
Clients who have not downloaded the app received their messages via SMS. To avoid widespread mistrust for messages from unknown senders, we branded our communications.
Introduction of a motivation program
We also introduced a motivation program in order to stimulate client activity. We offered a free hot dog as an incentive to participate in the poll.
The results of our online research confirmed some of the hypotheses formulated by Stardogs experts earlier. That pertained mostly to the issues of how, where and when clients’ interest in the product takes shape, what times of day are the best and which reasons should serve as a basis for new sales points locations.
Client base segmentation
The first and the most basic stage for any successful online research is to single out client groups the research would be focused on. For Stardogs, these included two groups of clients:
loyal clients who make purchases regularly
inactive clients who have not made any purchases in a while.
The company lacked convenient and effective audience research tools to develop the best marketing strategies.
PremiumBonus experts developed specialized questionnaires for each group, offering them to choose from multiple options formulated beforehand. The questions were designed to give the company the best understanding of clients’ attitudes toward the brand and their consumer behaviors.
Newsletter setup
The poll newsletter implementation used two mechanics:
Push messages
The method was used for clients who have already downloaded the Stardogs mobile app and linked their loyalty card to the Wallet.
SMS messages
Clients who have not downloaded the app received their messages via SMS. To avoid widespread mistrust for messages from unknown senders, we branded our communications.
Introduction of a motivation program
We also introduced a motivation program in order to stimulate client activity. We offered a free hot dog as an incentive to participate in the poll.
The results of our online research confirmed some of the hypotheses formulated by Stardogs experts earlier. That pertained mostly to the issues of how, where and when clients’ interest in the product takes shape, what times of day are the best and which reasons should serve as a basis for new sales points locations.
The company plans to develop a strategy for regular targeted polls. PremiumBonus software makes it possible to automate regular feedback collection and eliminate any manual input in that process. That would help market researchers not waste their time sending polls and collecting feedback, allowing them to concentrate on data analysis instead.
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