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Key sales meterics
Analysis of products sales and product categories in the context of consumer groups or sales outlets groups. The metrics include traditional econometric indicators, such as the average check, the number of checks, sales in positions, pieces, money, as well as prices and shares, including in dynamics.
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Sales category analysis
Analysis of product categories: brand composition, top brands and SKUs, shares and changes in econometric indicators of the category as a whole and its components.
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Product category dynamics
Analysis of the sales dynamics of products and product categories in the context of consumer groups and SKU groups in dynamics, analysis of changes in the brand composition in dynamics, econometric indicators of sales outlets with a category.
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Consumer preferences: products and brands
Product behavior by gender, age, professional composition, geolocation, etc. Differences in consumer groups by brand composition of a category or SKU.
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Changes in sales: analysis of causes
Reasons for changes in sales volume in monetary and quantitative terms, comparative analysis of periods by SKU and brand.
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Consumer behavior: brand switching
Consumers switching between brands, gender and age composition and indicators of the switched audience. Quantitative and monetary indicators of switching.
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Brand targeting
Analysis of picture of average brand/SKU’s consumer. Gender and age composition, consumer preferences in household/media/Internet/communicative behavior. Formation of brand’s target audience.
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Customer segmentation
Сustomers segmentation by consumption and purchasing behavior, as well as identifying a stable picture of customer clusters using ML methods and based on data of media/internet/communicative behavior and vice versa. Formation of marketing influence groups.
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Building predictive models
Consumer behavior predictive and uplift models based on retrospective data and marketing contact data.
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Data processing and visualization systems
Data processing includes operations such as aggregation, obtaining summary characteristics for a certain period, determining the data set characteristics depending on the requirements. These allow dynamic tracking metrics of interest.
We develop and implement methodologies for systematization processing and databases organization. We develop information flows logistics.
We visualize the data in a user-friendly form:
- immersive BI dashboards,
- heat maps,
- interactive sites and applications.
We can integrate the application into the client's CRM/ERP system or set up email notifications about significant market events
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R&D
We have vast experience and a growing knowledge base in building a large number of ad-hoc research and products for final customer. Thanks to this, we can choose the most effective solution for any client's tasks.
