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Introduction Text analytics for open-ended responses helps brands understand why customers think, feel, and behave the way they do. These responses capture unmet needs, hidden objections, and the language customers naturally use. That makes them valuable for product, CX, and marketing teams that need more than rating scores alone. But verbatims don’t scale by default. […]

Introduction A living competitor map helps brands replace static competitor analysis with primary research that tracks switching, positioning, pricing tolerance, and unmet needs in real time. A better approach is a living competitor map—updated continuously using primary research (B2C, B2B, or healthcare audiences) so you can see shifts in positioning, switching, pricing tolerance, and unmet […]

Introduction In B2B insights, the real bottleneck is rarely getting data. GenAI in B2B research is helping teams close the gap between question, study design, clean data, usable story, and decision, while researchers remain responsible for methodology, interpretation, and commercial judgment. The adoption curve is real: 50% of U.S. employees now use AI at work […]

Introduction Multi-country research is no longer a “nice to have”—it’s how brands de-risk launches, validate pricing, and spot demand pockets before competitors do. But global scale often comes with a trade-off: studies become comparable, yet local meaning gets diluted. The result is a report that looks clean—but drives weak decisions. The good news: you can […]

Introduction B2B pricing research is changing fast in 2025–2026 as CFOs demand faster ROI proof, procurement teams push harder on cost, and sales teams need pricing guardrails that do not hurt close rates. That pressure is shifting the market away from large, slow pricing studies and toward leaner, decision-ready research that still holds up in […]

Introduction Real-time feasibility is becoming the new standard for speed in market research. In 2025–2026, the biggest reason timelines slip is not programming or reporting. It is fieldwork unpredictability. Teams launch studies with confident targets, only to find that incidence drops, quotas stall, or key audience segments fail to convert. That’s why real-time feasibility is […]

Introduction Privacy in healthcare research now directly influences who participates, how honestly people respond, and how representative study findings become. Across 2024 to 2026, healthcare audiences have become more selective about what data they share, who collects it, and how it will be used. When respondents feel uncertain, dropouts and “safe answers” rise. When they […]

Introduction Data quality in market research is the new competitive advantage in 2025–2026. More data is no longer the advantage—more trustworthy data is. As online sampling scales, brands face growing exposure to speeders, bots, duplicate identities, and inconsistent respondent profiles that can quietly distort findings. Data quality is now a business lever: it can reduce […]

Introduction Research data quality is now a competitive advantage in market research. Market research has never been faster—or riskier. As online panels scale and AI accelerates fieldwork, the biggest differentiator is no longer who can collect data quickest, but who can prove it is real, consistent, and decision-ready. In 2025–2026, many teams are realizing that […]

Introduction Mobile survey drop-off is still one of the biggest reasons mobile-first research underperforms in 2026. Many studies are technically mobile compatible, but still create poor respondent experiences that lead to abandonment, rushed answers, and weaker open-ended feedback. For brands that depend on fast, reliable insights, this directly affects data quality and decision confidence. The […]

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