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Total: 6577

  1. article

    Software Review: Microtab - Data editing and cleaning workhorse gets an update

    This article reviews the latest update to Microtab, one of the earliest self-drive tabulation products.

  2. article

    Integrating marketing tools facilitates location of new construction

    FountainPlace is a mixed-use development that will occupy one million square feet of retail, hotel and office space. Integrating all of these different aspects into a single development required vast market research by JMB/Federated Market Research Co. Complicated statistical models were used to analyze emerging and changing demographics within market areas to pinpoint future opportunities.

  3. article

    Surveys in the hands of salesmen

    I recently purchased a 2011 Ford Fusion Hybrid (one of the best-built cars I have owned – but that is for another blog). With the recent spike in gas prices, the supply for Fusion Hybrids has been low in the ...

  4. glossary

    Correlation Analysis

    Analysis of the degree to which changes in one variable are associated with changes in another. Correlation analysis measures the strength and direction of the relationship among two or more variables. This statistical technique helps to determine whether changes in one variable are associated with changes in another. In other words, it analyzes the degree to which changes in one variable is connected with changes in another, thus providing insights into potential connections between marketing factors. The process helps unveil relationships among marketing efforts and outcomes. That said, however, correlation doesn't necessarily imply causation. Correlations do suggest associations, but more research is necessary to establish cause-and-effect relationships. Who relies on correlation analysis? Marketing professionals, analysts and researchers use correlation analysis to identify correlations among various marketing metrics. Those insights can be used to make strategies, campaigns and resource decisions. Why should I care about correlation analysis? Marketing professionals and or decision-makers within a business rely on correlation analysis to gather valuable insights on correlations between various marketing variables This information can guide data-driven choices and improvements in marketing campaigns.

  5. glossary

    Cross-Elasticity

    The extent to which products are substitutes for one another. Marketers use differentiation and quality to seek to minimize cross-elasticity and thus it could be seen as part of brand equity or marketing effectiveness. See also elasticity. Cross-elasticity measures the responsiveness of demand for one product to changes in the price of another related product. It quantifies how that price change impacts the quantity demanded of another product to the extent that one is substituted for another. It helps assess whether products are substitutes or complements in consumer preferences. Marketing professionals use differentiation and quality to minimize cross-elasticity, so cross-elasticity could be seen as brand equity or marketing effectiveness. Cross-elasticity offers several insights for marketing research, including substitutability, in whether products are substitutes or complements; pricing strategy, in setting optimal prices to maximize revenue and market share; competitive analysis, in assessing the competitive landscape by understanding how changes in competitor prices might influence demand; market segmentation, in segmenting the market based on consumer preferences and price sensitivity; and forecasting, in predicting how changes in prices will affect overall sales. Who relies on cross-elasticity? Businesses, marketing professionals and economists involved in strategic pricing and market analysis use insights from cross-elasticity to make decisions about pricing strategies, product positioning and market segmentation. Why should I care about cross-elasticity? Cross-elasticity provides insights into how price changes of related products can impact sales and revenue. Understanding how cross-elasticity works and impacts the marketplace allows businesses to adjust pricing strategies, predict changes in demand and identify potential competitive threats.

  6. glossary

    Sequential Testing

    A testing procedure in which a respondent tries one product, evaluates it, then tries and evaluates a second product. Sequential testing is a method used to analyze data in stages, allowing for interim evaluations and decisions before the completion of data collection. In market research, it involves analyzing data as it's collected to make informed decisions about stopping a study early or continuing it based on predefined criteria. Who relies on sequential testing in market research? Market researchers, statisticians and professionals involved in clinical trials and research studies rely on sequential testing. This approach is useful when time, resources or ethical considerations warrant making decisions before a study's planned conclusion. Why should I care about sequential testing in market research? Understanding sequential testing is valuable for ensuring efficient use of resources and timely decision-making. If you're involved in research or data analysis, this approach enables you to adapt your study's course based on early observations, saving time and resources while maintaining statistical rigor. Why is sequential testing important in market research? Sequential testing provides flexibility to adapt research strategies in response to emerging data patterns. It balances the need for timely decisions with the integrity of statistical analysis. This approach is crucial when making real-time adjustments to research protocols or interventions which can impact study outcomes.

  7. sourcebook

    FUEL CYCLE

    Fuel Cycle brings quant, qual, and UX together in one AI-native platform—helping enterprise teams unlock deeper insights, faster, without sacrificing research rigor.

  8. article

    Why the fundamentals of research matter more in an AI-driven world

    While AI continues to transform the market research landscape, one thing must remain: the core purpose of research. Actively representing people and their experiences comes first to any technological advancement.

  9. article

    Simple tips for increasing your survey e-mail open rates

    The first step to receiving survey feedback can be one of the most difficult: getting your customer to open your e-mail. The authors share six tips for writing engaging e-mail survey subject lines.

  10. article

    Influencing shopper choice when the product is just an image

    The COVID-19 crisis has accelerated consumers’ adoption of e-commerce. One of the fundamental challenges brands in this omnichannel reality face is: context matters.

  11. article

    Understanding the buying power of LGBTQIA consumers: Separating fact from fiction

    While the gay market has long been seen as one with massive buying power, this article argues that gauging the market’s size is difficult and that buying power is sometimes difficult to quantify.

  12. glossary

    Market Research Apps

    A software program (application – abbreviated "app"), especially a small one, designed for a mobile device with the purpose of conducting market research. Market research apps are software applications designed to facilitate data collection, analysis and reporting for market research purposes. These apps allow researchers to gather insights from participants via mobile devices or online, streamlining survey administration, data management and real-time analytics. Who relies on market research apps in the market research industry? Market researchers, data analysts, research agencies and business decision makers rely on market research apps to gather consumer insights quickly and efficiently. They are also used by product managers, marketing teams and customer insights teams looking for accessible, flexible research solutions. What are key aspects of market research apps as they pertain to market research? Key aspects of market research apps include: Mobile accessibility: Allows respondents to participate via smartphones and tablets. Real-time data collection: Provides immediate access to responses as they come in. Automation: Automates survey distribution, reminders and data processing. Flexibility: Supports various question types, multimedia and interactive features. Data security: Ensures participant data is protected and handled securely. Why are market research apps important in market research? Market research apps are important because they enhance the speed, efficiency and reach of data collection. They allow researchers to access diverse populations, gather feedback in real time and analyze results promptly. This immediacy and convenience support quicker decision-making and help businesses stay agile in responding to market trends. How do market researchers use market research apps? Market researchers use market research apps to design and distribute surveys, conduct qualitative studies and collect insights from participants in various locations. They leverage these apps for remote data gathering, analyze responses in real time and generate reports that inform product development, marketing strategies and customer experience improvements.