Quantitative Techniques
Welcome to the agency where numbers come to life. We gather, analyze, and transform data into insights that can drive real business change. Fancy to know how it works? Spoiler: it’s a blend of proven methodologies and a touch of magic.
since 2007
We’ve been at it
1,500 studies
Сompleted over
Our constant source of interest—and of data—is the consumer. We love data and know how to turn it into clear and actionable insights. Every project is a new chance for us to bring creativity into the mix.
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High-level serviceWe’re easier to work with than solving a Rubik’s Cube. -
Flexible pricingWe adapt—adapt ourselves to your specific needs! -
On-time deliveryDeadlines? We respect them.
A bit about the projects we do
Diligently and carefully
Identifying the best in testing
- Products
- Packaging
- Concepts
- Outdoor ad designs
- Commercials
Contributing to service improvement
Satisfaction and loyalty assessment (NPS). How does the customer feel about the company/brand? It’s simple: it depends on how they evaluate each interaction with them. Each interaction is a collection of small details. If we work a little on the most important ones, we can significantly enhance the overall perception of the company/brand.
Mapping the Purchase Journey (CJM)
We create maps that reflect the motivations and behaviors of customers from the main triggers to the purchase (and even beyond). We study how and where the customer interacts with your product or service, what emotions they experience, and what motivates them. This is a story about what they like and what can be improved at each stage of the journey. In the end, we get a clear picture of how to make this journey even more pleasant and effective for your business.
Forecasting choice
Do you want to know how demand for your brand will change if you alter the price, design, or packaging size (or any other characteristics if we talk about services)? Or if you add a new option to your brand lineup? We can answer these questions! Additionally, we’ll forecast what will happen with your competitors and how their market shares will change.
Providing a Comprehensive Market View
An accurate market snapshot enables you to navigate and make the right strategic decisions. This is where U&A research comes in, helping to understand how people use your product and what they think about it. We find out who buys it, when, and how often, what they like and dislike, and which other brands they know and consider. Essentially, it’s like having a conversation with your customers: “So, what do you think of our product?” — and based on their answers, we help make it still better and more popular!
Keeping a finger on the pulse (BHT)
BHT is like a regular check-up for your brand. We monitor how it’s “feeling” in the market: what customers think about it, how popular it is, and how you compare to competitors. Essentially, it’s a monitoring process that helps identify what is working well and where your brand might need a little “treatment” to remain strong and healthy.
We don’t compromise on quality
Adhere to the industry standards
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Sample survey verificationWe check up to 30% of surveys from each interviewer in the case of face-to-face or CATI interviews. If significant violations are identified, the interviews are redone in accordance with the guidelines. -
Logic checkIdentifying logical inconsistencies in respondents' answers (e.g., low income and expensive travel). -
Validation questionsSpecific questions to assess the attentiveness in answering large tabular questions. -
Response controlMonitoring for consistency and “template-like” responses in blocks of questions. -
«Difficult to answer»Selection and verification of surveys with a high proportion of "Don't know" responses. -
Open-ended questionsMonitoring the adequacy of responses to open-ended questions.
A bit about the projects we've completed
Diligently and carefully
TELE 2
- Assessment of potential for financial instruments in telecom
- Barriers and drivers to switch operators while keeping the same number
- Modeling of optimal product attributes and demand forecasting
- Evaluation of communication campaigns
- Concept testing
- Testing of outdoor ad designs
- Assessment of the potential for a new tariff plans and additional services
IKEA
- Assessment of demand and quality of additional services in IKEA stores
- Value orientations and cultural attitudes among residents of various regions in Russia
- Evaluation of in-store advertising effectiveness
- Assessment of in-store navigation
- Evaluation of expositions across different store departments
- 'Lost customer' research / analysis of reasons for store visit falls
- Evaluation of advertising communication effectiveness for IKEA in MEGA stores
BEELINE
- NPS Tracking
- Brand health tracking in Georgia and Uzbekistan
- Evaluation of subscriber behavior changes with the introduction of paid services
- Modeling of optimal product characteristics and demand forecasting
- Segmentation of mobile internet users
- Pricing research
- Concept testing
DIXY
- Assessment of how store format impacts brand image
- Impact of advertising on brand perception
- Slogan testing
- Packaging tests
- Concept tests
- Product tests
- Testing of promotional brochures
- Promotional price monitoring
McKinsey
- Patterns in banking products choice, barriers and drivers, segmentation
- Segmentation of new subscribers (who switched operators within the last 3 months), identification of needs and price expectations for new product development
Rostelecom
- Research of switching patterns to internet providers
- Evaluation of current provider usage
- Awareness and usage of interactive TV
- Defining reasons for using or not using video content
Some interesting cases
We’d still like to share a few projects that were especially interesting for us.
Big data. Telecom
Utilizing an internal database to forecast subscriber churn and classify reasons for switching to another provider.
This enabled the operator to engage with subscribers on a more individual level, offering an optimal set of services to retain customers.
This enabled the operator to engage with subscribers on a more individual level, offering an optimal set of services to retain customers.
Classifying models. Auto
A classification model was developed to predict the likelihood of customer switch to an unofficial service after the warranty period expires.
The model categorizes each customer into one of three groups—'loyal,' 'uncertain,' or 'disloyal'—with explanations for switching behavior and recommendations for engagement strategies.
The model categorizes each customer into one of three groups—'loyal,' 'uncertain,' or 'disloyal'—with explanations for switching behavior and recommendations for engagement strategies.
Big data. Industry
A model for adjusting the input chemical composition in the production of a specific grade of steel.
This adjustment helps minimize deviations from steel quality requirements and significantly reduces costs by lowering defect rates.
This adjustment helps minimize deviations from steel quality requirements and significantly reduces costs by lowering defect rates.
Classifying models. Travel
Based on the results of a sample study, customer segmentation and a classifier were developed. Using the classifier, a model was created that predicts the market segment of a customer based on internal data.
The result is a comprehensive classification of the customer database and additional descriptions of segments using internal data.
The result is a comprehensive classification of the customer database and additional descriptions of segments using internal data.
And of course, we can't overlook the important role of qualitative research
For over 15 years, we've closely collaborated with our partner agency, QuQuest, whenever a project involves qualitative components (ethnography, focus groups, interviews, semiotics, cultural aspects). The entire process is managed together from the very start of the project.
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