OUR EXPERTISE
Quantitative market research for clear strategic direction
Bixa designs custom quantitative market research studies that turn customer and market data into clear strategic direction. From surveys that deliver big-picture insight to conjoint analysis that pinpoints the ideal pricing and features, we unveil the realities impacting your business success—and deliver a blueprint for how to navigate them.
We go beyond presenting statistics and charts. Our senior researchers explain what the findings mean, why they matter, and what your team should do next. With Bixa, you get:
• An understanding of not just what the numbers are, but what they mean
• Actionable insights that map back to business impact
• Evidence-based recommendations for marketing, positioning, messaging, and product strategy
• A sharper understanding of your customers, competitors, and market position
• Compelling findings and talking points you can use in your marketing, messaging, and sales
Schedule a research strategy call
We talk through your goals and recommend an approach. No sales pitch. Just a smart, honest conversation with a senior researcher.
Bixa’s core quantitative capabilities
Bixa selects each quantitative research method based on the decision you need to make. Whether you are validating a market opportunity, prioritizing product features, identifying customer segments, or refining your pricing, we design the study to produce reliable evidence and practical next steps.
Expert-designed surveys
We design surveys around the decisions your team actually needs to make—not a generic list of questions that happen to be interesting. That means defining clear research objectives, choosing the right audience and sample, and carefully crafting questions to minimize bias while generating data you can confidently use.
Our custom surveys can measure everything from brand awareness, customer attitudes, and purchase intent to satisfaction, concept appeal, product demand, behavioral patterns, and other market indicators.
Best for: market validation, concept testing, brand research, customer satisfaction, message testing, and understanding patterns across larger audiences.
Audience segmentation & personas through cluster analysis
Your market is rarely one audience with one set of priorities. We use cluster analysis to identify meaningful groups of customers based on behaviors, motivations, attitudes, preferences, and other differentiators.
And we don’t stop at the clusters. Bixa often combines segmentation with qualitative research to bring those groups to life—helping your team understand not only who your highest-opportunity audiences are, but how to reach them.
Best for: audience strategy, personas, differentiated messaging, targeting, product strategy, and go-to-market planning.
Understand tradeoffs customers are willing to make with conjoint
Real purchase decisions involve tradeoffs: customers rarely evaluate a product based on one feature alone. Conjoint analysis recreates those choices by asking people to evaluate different combinations of features, benefits, prices, or packages.
The results show which attributes matter most, what customers are willing to trade for them, and how different offers may perform in the market. We determine the relative influence each attribute has on a customer’s purchase decision.
Every Bixa conjoint study includes an interactive market simulator. Your team can test different product, pricing, and packaging scenarios to see how each one may affect customer preference based on the survey results.
Best for: product design, packaging and tiering, feature tradeoffs, pricing strategy, and optimizing product-market fit.
Feature or messaging prioritization using MaxDiff
When you ask customers to rate a long list of features or ideas, everything has a tendency to become “important.” An advanced survey question type called MaxDiff forces meaningful tradeoffs, revealing what your audience values most—and what they can live without.
We use this quantitative technique to understand the most and least valued choices from a randomized test set. We can prioritize features, benefits, messages, claims, or any other competing priorities—giving your team a clear hierarchy rather than a page full of nearly identical ratings.
Best for: feature prioritization, message testing, product roadmaps, benefit prioritization, and narrowing a crowded list of options.
Pricing & willingness-to-pay research
Pricing is too important to base on intuition alone. We use quantitative methods including Van Westendorp, Gabor-Granger, and Conjoint analysis to understand price sensitivity, perceived value, willingness to pay, and the tradeoffs customers make between price and product attributes.
The right methodology depends on the question you’re trying to answer—and our team of senior researchers can help you determine which approach makes the most sense before we ever write the survey.
Best for: setting or changing prices, launching new products, creating tiers or packages, and understanding how customers perceive value.
Where quantitative research has the greatest impact
Quantitative research helps organizations move from assumptions to evidence. It is especially valuable when you need to measure customer preferences, compare options, validate an idea, set priorities, or track changes over time.
At Bixa, we use quantitative research to answer important business questions across areas including:
• Product development: Which concepts and features generate the strongest demand, and what should you prioritize?
• Positioning and messaging: Which claims, benefits, and value propositions stand out and drive interest?
• Pricing and bundling: What are customers willing to pay, and which combinations or packages of price, features, and benefits offer the most value?
• Audience segmentation: Which meaningful customer groups exist within your market, and how do their needs, priorities, behaviors differ?
• Brand health and tracking: How is your brand’s awareness, consideration, perception, loyalty, and competitive position changing over time?
• Market and concept validation: Does an idea that sounds promising internally within your company realistically hold up when you test it with the consumers you actually need to reach?
When to use qualitative vs. quantitative research
Quantitative research tells us a lot, but not everything. At Bixa, we often pair quantitative research with qualitative techniques—including interviews, diary studies, or focus groups—to reveal the “why” and the “so what” behind the trend. Together, the quant + qual techniques form a complete and actionable foundation for our clients.
Qualitative Research
Deeper insights
Explores motivations, barriers and perceptions
Small sample sizes
Open-ended discussions
Generates hypotheses that you can test at scale
Ensures you’re asking the right questions in your survey
Quantitative Research
Measures patterns at scale
Large sample sizes give you the ability to a larger population with a certain degree of statistical significance
Structured surveys test hypotheses uncovered in the qualitative research
Statistical confidence
How our quantitative process works
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Step 1: Define the questions + design the study
We begin by clarifying what your team needs to learn, which decisions the research will support, and how the results will be used.
Then we select the right methodology based on your research objectives, and design the study thoughtfully and intentionally.
Depending on your goals, that could mean a straightforward survey, or an advanced quantitative approach using MaxDiff, conjoint analysis, cluster analysis, Van Westendorp, Gabor-Granger, or a combination of techniques.
Every question has a job to do. We carefully structure your survey so the resulting data gives you clear answers, rather than simply more information.
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Step 2: Identify + recruit the right participants
Reliable research depends on hearing from the right people. We work closely with your team to define the target audience, sample size, and screening criteria based on your specific research objectives.
Recruiting specialized audiences is one of Bixa’s strengths. Our proprietary panel and extensive network of trusted recruiting partners help us reach participants who can be difficult to find through standard research panels—including B2B decision-makers, industry professionals, technical specialists, senior leaders, and narrowly defined customer groups.
We carefully screen participants to confirm that they have the right roles, experience, behaviors, or purchasing authority for the study. Whether you need a broad consumer sample or a highly specific professional audience, we build a recruiting approach designed to reach qualified respondents and produce data you can trust.
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Step 3: Field the survey + analyze the data
Once the survey launches, we monitor participation and data quality throughout the fieldwork period. This helps us identify low-quality responses and confirm that the final sample meets the study requirements.
Then we analyze the data—not simply looking for interesting percentages, but identifying the differences, relationships, patterns, and tradeoffs that matter.
Depending on the study, this can include sub-group comparisons, statistical testing, MaxDiff modeling, conjoint analysis, cluster analysis, pricing analysis, or longitudinal comparisons across multiple waves of research.
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Step 4: Turn findings into clear, actionable recommendations
A statistically significant finding isn’t useful if no one knows what to do with it.
We synthesize complex quantitative data into a clear story, highlighting what’s meaningful, what has changed, which differences matter, and what the findings mean for your business.
You receive clear recommendations to guide areas such as product development, pricing, audience strategy, positioning, messaging, and future investment.
Your deliverable is never a massive data dump. It’s typically a curated, executive-ready report designed to help your team process the findings, align, and make a decision.
Why organizations choose Bixa
Bixa specializes in quantitative research designed to produce clear, decision-ready insights. We approach quantitative market research as a decision-making tool—not simply a way to collect data. Every study is custom-designed around the business questions your organization needs to answer, and the strategic moves you’ll want to take next.
Our team conducts quantitative research for organizations across industries including technology, consumer products, financial services, healthcare, B2B professional services, media & entertainment (e.g., gaming), and associations & nonprofits.
Research & strategic analysis thoughtfully designed around your goals
Senior-level research expertise from design through analysis and recommendations
Access to specialized audiences: niche customers, B2B professionals, industry decision-makers, and more
Clear, actionable recommendations based on the data
You’ll get more than charts—you’ll get clear, executive-ready insights and direction for smarter product, pricing, marketing, positioning, and growth decisions.
Quantitative research FAQs
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Quantitative market research is a research method that uses numerical data to measure patterns, preferences, attitudes, behaviors, and trade-offs across a defined audience.
The data is most commonly collected through structured surveys and analyzed to determine how common a behavior or opinion is, compare groups, test hypotheses, and validate findings at scale.
At Bixa, quantitative studies range from custom surveys to advanced methods for feature prioritization, tradeoff analysis, audience segmentation, pricing research, and brand tracking.
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The number of survey respondents you need depends on your target audience, research method, planned analysis, and required level of statistical confidence.
A study involving a highly specialized B2B audience may require a very different sample from a national consumer survey. Sample size also depends on how many audience groups you want to compare and how precisely you need to measure differences between them.
Bixa determines the appropriate sample size during study design so you can answer your research questions reliably without paying for respondents you do not need.
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A typical full-service quantitative research project takes 8 to 12 weeks on average, although a focused survey with an accessible audience may be completed more quickly.
A realistic timeline usually includes:
Study planning and survey design: Approximately two to three weeks to define the objectives, select the methodology, write the survey, and incorporate stakeholder feedback.
Survey programming and testing: Usually one to three days for programming, quality assurance, internal testing, and a soft launch.
Participant recruitment / data collection: Approximately one to three weeks, depending on the sample size, audience availability, and response rate.
Data cleaning, analysis and reporting: Approximately one to three weeks that includes cleaning the data, conducting the analysis, interpret the findings, and develop recommendations.
Some of these phases can overlap. Timelines tend to increase when a study includes a niche audience, rounds of stakeholder reviews or approvals, advanced methods such as conjoint or segmentation, multiple research phases, or international markets.
If you are working toward a board meeting, product launch, or other fixed deadline, it’s possible that Bixa can prioritize the most important research questions first and provide early findings before the full report is complete.
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Quantitative research is used to measure patterns, compare groups, test hypotheses, or validate findings across a larger audience. Qualitative research is helpful to explore deeper into how your customers think, feel, or behave in certain ways.
We often talk about this as quant figuring out the “what” and qual figuring out the “why” behind the numbers. In fact, many studies benefit from combining both approaches (we call this a mixed-methods approach). Quantitative methods such as surveys produce numerical evidence about customer preferences, behaviors, and market trends. Qualitative methods such as interviews and focus groups provide deeper context about the motivations and experiences behind those results.
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Quantitative research can help organizations validate ideas, prioritize features, segment audiences, optimize pricing, refine messaging, and track changes in customer attitudes and behavior.
The right methodology depends on the decision you need to make:
Prioritize features, messages, or benefits: MaxDiff analysis reveals what customers value most by requiring them to choose between competing options.
Identify distinct customer groups: Cluster analysis groups people according to shared behaviors, needs, attitudes, or preferences to support audience segmentation.
Understand price sensitivity: Van Westendorp and Gabor-Granger research measures how customers respond to different prices and helps identify an acceptable or effective price range.
Evaluate product and pricing trade-offs: Conjoint analysis measures how customers choose between combinations of features, benefits, prices, or packages.
Validate products, concepts, or market demand: Custom surveys measure interest, purchase intent, concept appeal, and demand across a defined audience.
Improve positioning and messaging: Message testing compares claims, value propositions, and benefits to determine which are most compelling.
Track brand or customer health: Brand tracking and customer surveys measure changes in awareness, consideration, perception, satisfaction, loyalty, and NPS over time.
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A quantitative research report explains the most important findings, patterns, statistical differences, and business implications within the data.
Depending on the study, the report may include audience comparisons, prioritization scores, personas representing distinct audience segments, pricing models, market simulations, or trends across multiple waves of research.
Bixa’s reports go far beyond percentages and charts. We explain what the findings mean and translate them into clear recommendations for your product, pricing, marketing, positioning, or broader business strategy. For each question, we also give you a breakdown of how different personas or sub-groups answered the question, pointing out any statistically significant differences.
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Bixa approaches quantitative research as a decision-making tool—not a data-generation exercise. We design quantitative research around the business decision you need to make.
Senior researchers guide the entire process, from defining the research question and selecting the methodology to analyzing the results and developing recommendations. We also specialize in recruiting niche consumers, B2B decision-makers, industry professionals, and other difficult-to-reach audiences.
Instead of handing you a large deck of charts, we identify what matters, explain why it matters, and show your team how to act on it—as simply as possible, while still giving you all the relevant data.
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A professionally designed, full-service market research project typically costs between $30,000 and $150,000, with multi-phase, specialized, or international studies requiring a larger investment.
For quantitative research, the budget commonly includes:
Study planning and survey design: Defining the objectives and decisions you’re trying to reach based on the research, selecting the methodology, and writing and refining the survey.
Participant recruitment: Survey participants may cost approximately $5 to $50 per completed response, depending on how accessible the audience is. For example, niche consumers, senior B2B decision-makers, or specialized professionals may cost more than someone like a marketing manager exploring software options.
Survey programming and fieldwork: Programming, testing, launching, monitoring data quality, and managing quotas can range anywhere from $5,000 to $20,000, excluding participant recruitment.
Analysis and reporting: Data cleaning, statistical analysis, advanced modeling, interpretation, visualization, and strategic reporting can range from approximately $15,000 to $75,000.
The largest cost drivers are sample size, audience specificity, survey length, number of markets, and analytical complexity. Analysis techniques such as conjoint, MaxDiff, cluster analysis, and pricing modeling require specialized tools and expertise, so they generally cost more than a straightforward survey.
Bixa develops each proposal around the decision you need to make, helping you invest in the appropriate level of rigor without adding unnecessary scope.
Contact our team for a customized quote -
The first step is a short strategy call with a senior Bixa researcher to discuss your goals, audience, timeline, and the decisions the research needs to support.
After the call, if it’s a good fit, we will send you a proposal recommending a quantitative research approach tailored to your specific needs.
Book a complimentary strategy session to get started
Ready to plan your quantitative research study?
Book a complimentary 30-minute strategy session with a senior Bixa researcher to discuss your goals, methodology, audience, timeline, and budget.
