Market insights built from experience

We translate raw data into competitive advantages through segmentation analysis that identifies who your customers are and what drives their decisions.

Market research professionals analyzing segmentation data

How we approach market complexity

Oltar Kresud emerged in 2016 from a straightforward need: businesses were struggling to turn market data into actionable customer segments. Traditional research methods delivered spreadsheets without strategy.

We built our platform around behavioral patterns rather than demographic assumptions. Every quiz and assignment in our system is designed to reveal how different customer groups make purchasing decisions.

Our methodology combines quantitative analysis with interactive learning. Participants work through real segmentation scenarios while we track which approaches yield the clearest insights. The result is a training experience that mirrors actual market research challenges.

Based in Daugavpils, Latvia, we serve clients who need more than theory. Our assignments use actual market data from regional and international campaigns, showing how segmentation strategies perform across different contexts.

4,200+
Segmentation scenarios analyzed
89
Interactive modules developed
16
Industry sectors covered

The people behind the research

Līga Bērziņa leading segmentation workshop

Līga Bērziņa

Research Director

Designs segmentation frameworks that balance statistical rigor with practical application across consumer and B2B markets.

Raimonds Kalniņš developing analytics tools

Raimonds Kalniņš

Data Analytics Lead

Transforms raw survey data into visual segment profiles that reveal behavioral patterns and opportunity gaps.

Elīna Ozoliņa reviewing learning content

Elīna Ozoliņa

Learning Experience Designer

Structures quiz sequences and assignments that progressively build segmentation skills through realistic scenarios.

Real segmentation results

Our participants have used these methods to identify new customer segments, refine targeting strategies, and increase campaign response rates by understanding who responds to which messages.

View outcome examples
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Ad tracking
Measurement
Personalization