Market Research for Technology, Software and SaaS Companies

Product teams build powerful capabilities, but buyers don’t always evaluate those capabilities in the same way internal teams do. Companies often hire Bixa to help them understand which product benefits matter most to customers and how those priorities influence purchasing decisions.

How Bixa Helps: Bixa conducts qualitative research and quantitative surveys with target buyers to identify the features, benefits, and outcomes that drive perceived value in SaaS products. MaxDiff in particular is a powerful advanced survey technique that Bixa regularly performs for tech and product companies as a statistically grounded way to turn customer feedback into clear, prioritized features. Conjoint analysis is also a quantitative survey technique Bixa’s research teams use to understand the tradeoffs buyers are willing to make between features—and to create a market simulator you can play with to recommend ideal bundling of these features and/or tiered pricing/bundling.

Many technology companies start with an ideal customer avatar based on sales experience or historical assumptions, but over time it becomes helpful to validate and refine those personas with research. Companies often bring Bixa in when they want to better understand the different types of buyers evaluating their product, how their priorities differ, and which audiences represent the best growth opportunity today and in the future.

How Bixa Helps: Bixa conducts persona research and customer segmentation studies using a mix of qualitative interviews and quantitative surveys. Our research teams frequently apply a quantitative model called cluster analysis to survey data to identify statistically distinct buyer segments based not only on demographics, but also on motivations, product needs, decision criteria, and willingness to pay.

The result is a set of data-backed buyer personas grounded in real customer behavior—not assumptions—along with guidance on how each persona evaluates technology vendors, what messaging resonates with them, and where product strategy or marketing should focus. Many SaaS companies use these insights to guide product roadmaps, marketing campaigns, sales enablement materials, and ICP prioritization.

As SaaS products evolve, product teams often face a growing list of feature requests—from customers, internal stakeholders, sales teams, and leadership. Many technology companies partner with Bixa to help answer a practical question:

Which features will actually move the needle for customers?

How Bixa Helps: Bixa conducts feature prioritization research using both qualitative discovery interviews and quantitative surveys. One method we frequently use with technology companies is MaxDiff (Maximum Difference Scaling), which allows buyers to make tradeoffs between potential product capabilities in a structured way.

MaxDiff forces respondents to choose what matters most and least, producing clear feature rankings based on statistical modeling rather than simple rating scales.

For more complex product decisions, Bixa also uses conjoint analysis to understand how buyers evaluate combinations of features together. Conjoint studies allow our research team to build market simulators that product leaders can use to explore how different feature combinations might influence adoption, pricing tolerance, and perceived product value.

This approach helps SaaS companies move from internal debates about the roadmap to data-driven prioritization grounded in customer demand.

Pricing a SaaS product involves more than setting a number. Companies often want to understand how buyers evaluate price relative to features, support models, implementation complexity, or AI capabilities.

Technology companies frequently bring Bixa in when they are evaluating new pricing tiers, bundled packages, usage-based pricing models, or major pricing changes.

How Bixa Helps: Bixa conducts SaaS pricing research using a combination of qualitative discovery and quantitative pricing methods.

For early exploration, we often use Van Westendorp’s Price Sensitivity Meter to understand acceptable price ranges and identify points where pricing begins to feel too expensive or too cheap to buyers.

For deeper pricing decisions, Bixa conducts Gabor-Granger pricing studies and conjoint analysis, which allow technology companies to test price alongside product features, service levels, and packaging structures.

Conjoint-based market simulators allow SaaS leadership teams to test potential pricing scenarios—such as new tiers, bundled features, or AI add-ons—and estimate how those changes might influence buyer adoption and revenue potential.

B2B technology purchases often involve multiple stakeholders—technical evaluators, business decision makers, procurement teams, and executives. Companies often partner with Bixa to better understand how these buying decisions actually unfold.

How Bixa Helps: Bixa conducts buyer journey research and decision-making studies with SaaS buyers. Through in-depth interviews and sometimes video diary research, we capture how buyers discover vendors, shortlist options, evaluate competitors, and ultimately make final selections.

This research often reveals key insights such as:

• Which signals build trust early in the buying process

• What information buyers need to move forward internally

• How technical and non-technical stakeholders influence decisions

• Which objections slow deals down

These insights help SaaS marketing and sales teams refine content strategy, website messaging, product demos, and sales enablement materials to better support the real decision-making process buyers go through.

Technology marketing teams regularly test messaging to understand which value propositions resonate most with potential buyers. Internal teams often have multiple possible narratives around innovation, performance, cost savings, AI capabilities, security, or technical differentiation—and those messages may land very differently depending on who the buyer is. A CIO evaluating enterprise risk may care about very different signals than a Product Leader focused on speed, or a Procurement Team focused on cost.

How Bixa helps: Bixa conducts message testing research for SaaS companies, combining qualitative interviews with quantitative surveys to measure how different messages resonate with target audiences. We often look not just at which messages perform best overall, but how messaging preferences vary across different buyer segments, roles, and industries.

One advanced method we frequently use is MaxDiff messaging testing, which forces respondents to choose between competing value propositions to determine which statements are most compelling. This produces statistically grounded rankings of which product benefits and claims stand out most strongly to buyers.

We then analyze the results by audience segment—for example comparing how messaging resonates with technical evaluators vs. executive buyers, enterprise companies vs. mid-market firms, or different industry verticals.

This allows technology companies to understand:

• Which core value propositions should anchor the overall brand narrative

• Which supporting messages resonate with specific buyer personas

• Where messaging should be adapted for different audiences, industries, or stages of the buying journey

The result is messaging that reflects how real buyers frame the problem and evaluate solutions, helping SaaS marketing and product teams communicate more clearly across multiple target audiences.

Many SaaS companies want deeper visibility into why deals are won—or lost—beyond what sales teams capture in CRM notes. Companies often bring Bixa in to conduct structured win-loss research that captures honest feedback directly from buyers.

How Bixa Helps: Bixa conducts win-loss interviews with recent buyers and prospects to understand what influenced their final decision. These conversations often reveal insights that aren’t visible internally, including:

• How buyers compared competing vendors

• What ultimately tipped the decision toward one provider

• Whether pricing, features, trust, or perceived expertise mattered most

• What concerns or risks buyers saw during evaluation

We synthesize these findings into clear competitive positioning insights and actionable recommendations that sales and marketing teams can implement immediately.

Before launching a new SaaS product, feature set, or major platform expansion, companies often want to understand how potential customers might respond.

How Bixa Helps: Bixa conducts concept testing research that evaluates early-stage product ideas with potential buyers. This often includes qualitative interviews to explore reactions to product concepts, followed by quantitative surveys that measure interest, perceived value, and adoption likelihood.

Concept testing can also incorporate feature prioritization, pricing sensitivity, and competitive comparisons so product teams understand not just whether buyers like an idea—but how it might perform in the real market.

This approach helps technology companies refine concepts early and launch products with greater confidence in market demand.

In competitive SaaS markets, brand perception influences everything from inbound demand to enterprise procurement decisions. Companies often want to understand how their brand is perceived relative to competitors and whether marketing investments are shifting those perceptions.

How Bixa Helps: Bixa conducts brand perception research and ongoing brand tracking programs for technology companies. These studies measure metrics such as:

• Brand awareness

• Brand familiarity

• Perceived innovation and expertise

• Trust and credibility

• Consideration among buyers

Because brand perception evolves over time, many SaaS companies run these studies quarterly or annually to track movement in the market.

Bixa translates the findings into clear strategic guidance—what messaging to emphasize, where perception gaps exist, and how marketing campaigns are influencing brand momentum over time.

Even well-designed features sometimes see lower adoption than expected. Companies often want to understand how users interact with their product and where friction might occur.

How Bixa Helps: Bixa conducts usability testing and user experience research with real customers or target users. Participants walk through product workflows while our researchers observe where confusion, hesitation, or workarounds appear.

These studies often reveal unexpected friction points in onboarding, feature discovery, or workflow design.

The result is actionable insight into how the product experience can be improved to increase feature adoption, engagement, and long-term retention.

Many SaaS products solve sophisticated technical problems, which can make it challenging to communicate their value clearly to buyers who may not share the same technical background.

How Bixa Helps: Through buyer interviews and messaging research, Bixa uncovers the language and vocabulary buyers naturally use to describe their challenges, priorities, and evaluation criteria.

These insights help technology companies translate complex capabilities—such as AI models, data infrastructure, security architecture, or automation tools—into messaging that buyers immediately understand.

The result is clearer positioning that aligns with how buyers actually frame the problem they are trying to solve.

Many SaaS companies publish research reports, benchmark studies, or industry surveys to build credibility and generate inbound demand.

How Bixa Helps: Bixa conducts proprietary market research and national surveys that technology companies can turn into whitepapers, industry reports, and thought leadership content.

These studies often combine large-scale quantitative surveys with qualitative research such as interviews or video diaries, creating a blend of credible data and human insight.

The resulting research can support content marketing, PR campaigns, conference presentations, investor storytelling, and lead generation initiatives.