top of page

Quantitative Research

Measure demand, test ideas, and size opportunities with statistically reliable data. Quantitative research turns customer and market behavior into numbers you can test, compare, and model, so decisions aren’t based on gut feel. More than surveys—use data to predict outcomes, optimize decisions, and reduce uncertainty.

Image by Deng Xiang

What it's best for

​Quantitative data is structured information you can count and compare—like survey responses, ratings, purchase frequency, and price acceptance. It helps you answer “how many, how much, and which option wins.”​​

​

  • Estimating market size and demand potential

  • Identifying high-value segments and purchase drivers

  • Testing ads, messages, packaging, and offers before spending big

  • Measuring brand health (awareness → consideration → preference)

  • Understanding pricing sensitivity and willingness to pay

 

 

Typical outputs

 

  • Clear charts + dashboards

  • Statistical significance and confidence guidance (where relevant)

  • Segment profiles + decision-ready recommendations

 

 

When you should choose quantitative research? 

Choose quantitative research when you need to measure “how many/how much/how often” and make decisions with confidence.

What Ascendancy does differently

At Ascendancy, we don’t stop at charts. We apply data science to turn research into decisions—building segmentations, testing what truly drives choice, and modeling outcomes like conversion likelihood and price response. If your problem is complex (multiple audiences, channels, or products), we’ll structure the data so you can act with confidence.

​

  • We combine survey research + analytics (segmentation, predictive modeling, choice modeling)

  • We go beyond averages to show who drives results and why

  • We translate complex findings into simple actions (pricing, targeting, distribution, messaging)

 

 

Great fit for

 

  • Products with multiple segments and price points

  • Competitive categories (FMCG, retail, services, telecoms, energy)

  • Businesses expanding across islands / diaspora markets

Image by Campaign Creators
Lead presentations during meetings

Top 10 types of quantitative research marketers use

  1. Usage & Attitude (U&A) Surveys – who buys, how they use, what they value

  2. Brand Tracking / Brand Health Studies – awareness, consideration, preference, NPS, etc.

  3. Customer Satisfaction (CSAT) & NPS Studies – experience measurement and drivers

  4. Market Segmentation (Needs/Value-Based) – grouping customers using statistical methods

  5. Concept Testing – testing new product/service ideas and purchase intent

  6. Ad / Message Testing (Pre-testing) – which creative and claims perform best

  7. Pricing Research (e.g., Van Westendorp, Gabor-Granger) – price sensitivity and optimal ranges

  8. Shopper / Path-to-Purchase Surveys – how buyers discover, compare, and choose

  9. Product Testing (Quant) – structured scoring of product performance and preference

  10. Conjoint / Choice Modeling – trade-offs across features, bundles, and price (high impact)

bottom of page
View Ascendancy Solutions and Trading Limited profile on Ariba Discovery