Believing in ideas and bringing them to life
By analyzing client consumption patterns, the company formed parameters for creating target groups of lost or declining-demand clients. The most valuable lost clients were identified based on factors like monthly gas station visits and average bill. For this narrow group, the company sent personalized gasoline offers with coupon conversion rates ranging from 5 to 15% depending on the month.
Creating a trusting relationship with your customers
The company formed target groups based on consumption parameters to identify clients who didn't purchase certain goods. Hypothesizing that price-oriented clients bought lower quality products from competitors, the company created coupons with personal prices reduced by 20-30% for those goods. This resulted in up to 30% conversion for certain products and a 25% increase in daily bills, without changing prices for those who already purchased the goods.
Making business more sustainable
The gas station used the automatic calculation of personalized recommendations for clients, creating a list of popular items with reduced prices. Using machine learning algorithms, each client received a unique list of coupons based on their purchase history and consumption patterns. This resulted in personalized offers for each client, leading to up to 40% increase in conversions.
Be data driven
We believe that data and feedback are key elements that enable us to continuously improve our products and services. Our goal is to provide our customers with quality, reliable information so they can make informed decisions based on data, not assumptions.
