We work at the interface of Data-driven Marketing and Data Science.
Our specialization is data analysis to address business challenges (market analysis, insights for work with clients, customer behavior trends, etc.) In our methodology we use both classical statistical methods of data analysis and modern analytical methods that allow us to understand who your customers are and how they live, where the market is heading and what will be in demand tomorrow.
How can we help?
Consulting, Data Aggregation, Business Intelligence, Predictive Analytics, Training
Machine learning, predictive modeling, simulation modeling, advisory systems
Full analysis of the external and internal processes of the organization. Correct positioning and interaction with TA. We select tools. We help to introduce. We conduct the project together with the client.
Used methods of data analysis
Trees of classification
Principal component analysis and classification
Time series analysis
Product association model
Product chains analysis
Own methods of data analysis
Why Tess Technology
We conduct the project from the beginning of its discussion to the full implementation in the client's business.
We do not ask for an additional fee for each refinement of the data, if this does not entail overhead expenses.
100+ SUCCESSFUL CASES from small projects to companies of international level. From FMCG and cosmetics to substance manufacturers in pharmacology.
Stable international team - 20+ people
More than 10 years on the market.
Pharmaceuticals / Medicine
Financial services / insurance
Education / Science
Below are some cases that we can share with you and tell you about the stages of implementation.
A task Analysis of the consumer audience. Creation of psychographics for the target audience in selected cities of the project. Calculation of the Purchasing Power index (PPI). Development of a marketing campaign based on PPI and psychographics.
Decision Segmentation was carried out and the most cash-intensive segments of the target audience (TA) were identified. Psychographics for key segments (TA) have been developed. PPI Index numbers for drugs for each segment of the TA were calculated. A communication campaign targeted at key segments has been developed.
Result The level of knowledge of the pharmaceutical producer company and specific brands has been raised by 5-9%
A task Calculate the market capacity and identify market trends of 37 mobile device markets for medium and large businesses Decision We used disparate databases from the markets of the main industries for constructing forecast models. The Bayesian market model was used in calculations
Result The most promising markets were identified in the following categories: "The top five markets that will develop in the next 3 years, i.e. investments in future profits". "The top five markets where the market is already formed, i.e. the competition is growing." Company invested in the development of the 6 markets of devices out of 10 proposed by Tess Technology.
A task Calculate the capacity and market potential of USB modems in the Central Federal District and the Southern Federal District of Russia, broken down by telecoms operators. Calculate the NPS index for telecom operators.
Decision A model of consumption and market development was drawn up, using the Big Data of the company for consumer activity, economic development of regions, the level of Internet penetration in cities, the behavior of people on the Web, etc., An additional source of data was online polls of USB modem owners.
Result Level of customer satisfaction was increased by 27% the due to work with disgruntled clients. CPA of attracting USB modems customers was reduced by 35%.
A task Compose psychographics for the segment "I am my own doctor" Determine the algorithms of dealing with information about the problems for this segment and identify key factors for making a purchase decision of cure for heartburn and other gastrointestinal diseases Calculate the ROMI indices for online communication channels for the sub-segment "I am my own doctor"
Decision The psychographics of the segments of TA, which are related to the model "I am my own doctor", have been compiled. The most cash-intensive consumer segments were chosen (based on the segment development trend for 5 years).
Result In consumer segment "I am my own doctor", the most economically advantageous sub-segments of the TA were identified The ROMI was calculated for these sub-segments, broken down by online communication channels (Social networks, targeted advertising on the Web, native advertising in Instagram) Triggers for setting up ad campaigns for each subsegment were compiled
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