Marketing analytics
We help to understand your customers, make them more loyal and come up with the best personal offers.
We predict which marketing initiatives will bring the best results.
Loyalty programs
  • Improving the effectiveness of loyalty programs and interaction with consumers
  • Revealing insights in consumer behavior and finding complex patterns in the use of goods or services
  • Creation of advanced customer segmentations based on their consumption, behavior and other characteristics
  • Customer journey building and analysis
  • Making smart and unobtrusive contact policies with program participants
  • Predicting results and building a pipeline of the best offers for the consumer
  • Implementation of statistically significant methods for evaluating the effectiveness of offers and conducting regular post hoc analysis of campaigns
Personalization of omnichannel offers
  • Answers to the questions of target marketing: to whom, what, when, how and at what price to offer?
  • We help create targeted and scalable campaigns, going beyond the usual segmentation
  • Based on consumer portraits, look-alike models, we make individual scoring on the relevance of products, promotions and communications for each loyalty card
  • The optimal audience selection of consumers for special and seasonal offers, as well as new products
  • Determining the appropriate price segment of the product, the type of marketing tool (discount, bonus, coupon, cashback, gift) and the depth of the discount, taking into account the price sensitivity of the consumer
  • We predict the results and conduct a regular comprehensive plan/fact analysis of campaigns
  • Finding attractive micro-segments in the loyal consumers base
Churn prevention and customers return
  • Identifying churn-prone customers
  • Opportunities identification for cross-selling between brands and different categories
  • Segmentation of retention offers based on LTV
  • Determining the profile of disappointed customers with a high return rate
Cross-selling,
up-selling and new sales channels
  • Using machine learning, we reveal affinity, complementarity and cannibalization of products or services within the purchasing behavior of similar consumer groups
  • Opportunities identification for cross-selling between brands and different categories
  • Identification of substitute products, complementary products, purchase drivers within the mission of the visit, favorite non-essential goods, bestsellers in the segment, and others
  • Create bundled offers and special promotions to maximize retail KPIs
  • Finding profitable combinations of products and services and the conditions under which customers are willing to purchase them
  • Analysis of the client's reaction to the created offers, and modification of the offer matrix
Omnichannel communications, analysis of marketing investments and ROI models
  • Analysis and development of optimal communications for each consumer
  • We help improve conversion rates, LTV, and revenue per consumer
  • Effectiveness analysis of the touch points with the consumer
  • Construction of predictive multifactorial MMM (marketing mix) models. Assistance in optimizing budget costs in accordance with the effectiveness of various promotion channels.
  • Customer funnel modeling for each channel and customer segment
  • We determine which marketing initiatives will be the key drivers and help find new opportunities for growth
  • Building optimal strategies for attracting new customers
Reg No HE 377797
7, Pentageias, Dali Industrial Area, 2540
Larnaka, Cyprus