{"id":663,"date":"2020-06-08T19:46:34","date_gmt":"2020-06-08T19:46:34","guid":{"rendered":"http:\/\/mittest.local\/?page_id=663"},"modified":"2026-07-09T14:22:27","modified_gmt":"2026-07-09T18:22:27","slug":"making-a-difference","status":"publish","type":"page","link":"https:\/\/mgtinsight.com\/?page_id=663","title":{"rendered":"Making a Difference"},"content":{"rendered":"\t\t
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\n Services\n <\/p>\n\n

\n Research built around the decision you need to make.\n <\/h1>\n\n <\/div>\n\n\n \n

\n From brand tracking and segmentation to pricing, concept testing, and customer benchmarking, Management Insight Technologies helps clients turn complex questions into actionable insight.\n <\/p>\n\n\n <\/div>\n\n <\/div>\n\n <\/section>\n\n\n\n \n

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\n 01\n <\/div>\n\n

\n Core Metrics\n <\/h3>\n\n

\n Measure the effectiveness of your business strategy with studies that track market share, awareness, consideration, preference, perceptual analysis, deployment metrics, and product planning.\n <\/p>\n\n \n View Case Study\n <\/a>\n\n <\/article>\n\n\n\n \n

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\n 02\n <\/div>\n\n

\n Segmentation\n <\/h3>\n\n

\n Define the segments that exist in your market, understand which actions are most likely to have strategic impact, and classify future customers or respondents into meaningful groups.\n <\/p>\n\n \n View Case Study\n <\/a>\n\n <\/article>\n\n\n\n \n

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\n 03\n <\/div>\n\n

\n Pricing and Packaging\n <\/h3>\n\n

\n Evaluate pricing structures, packaging options, licensing models, SKU optimization, volume arrangements, component elasticity, and market share simulations.\n <\/p>\n\n \n View Case Study\n <\/a>\n\n <\/article>\n\n\n\n \n

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\n 04\n <\/div>\n\n

\n Concept Testing\n <\/h3>\n\n

\n Test concepts before or after launch to understand market reception, potential uptake, stage of readiness, and how new ideas perform against comparative benchmarks.\n <\/p>\n\n \n View Case Study\n <\/a>\n\n <\/article>\n\n\n\n \n

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\n 05\n <\/div>\n\n

\n Customer Benchmarking and Tracking\n <\/h3>\n\n

\n Track customer engagement, benefits, barriers, usage, habits, competitive perceptions, satisfaction, and loyalty over time.\n <\/p>\n\n <\/article>\n\n\n\n \n

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\n 06\n <\/div>\n\n

\n Operational Alignment Assessment\n <\/h3>\n\n

\n Compare internal company perceptions to market perceptions and build models that help identify the best return on potential investments.\n <\/p>\n\n <\/article>\n\n\n <\/div>\n\n <\/div>\n\n <\/section>\n\n\n\n \n

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\n Research Areas\n <\/p>\n\n

\n Our research team will work with you.\n <\/h2>\n\n

\n Other areas of research include:\n <\/p>\n\n <\/div>\n\n\n\n \n

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\n\n \n \n\n <\/path>\n\n <\/path>\n\n <\/path>\n\n <\/path>\n\n <\/svg>\n <\/span>\n\n \n Product \/ Market Studies\n <\/span>\n\n <\/div>\n\n\n\n \n
\n\n \n \n\n <\/circle>\n\n <\/path>\n\n <\/path>\n\n <\/path>\n\n <\/svg>\n <\/span>\n\n \n Customer Experience \/ Satisfaction Studies\n <\/span>\n\n <\/div>\n\n\n\n \n
\n\n \n \n\n <\/path>\n\n <\/path>\n\n <\/path>\n\n <\/svg>\n <\/span>\n\n \n Message Development and Testing\n <\/span>\n\n <\/div>\n\n\n\n \n
\n\n \n \n\n <\/circle>\n\n <\/circle>\n\n <\/path>\n\n <\/path>\n\n <\/path>\n\n <\/path>\n\n <\/svg>\n <\/span>\n\n \n Brand and Product Positioning Studies\n <\/span>\n\n <\/div>\n\n\n\n \n
\n\n \n \n\n <\/circle>\n\n <\/circle>\n\n <\/circle>\n\n <\/path>\n\n <\/path>\n\n <\/path>\n\n <\/svg>\n <\/span>\n\n \n Channel Studies\n <\/span>\n\n <\/div>\n\n\n\n \n
\n\n \n \n\n <\/path>\n\n <\/path>\n\n <\/path>\n\n <\/svg>\n <\/span>\n\n \n Go-To-Market and Market Trial Evaluation\n <\/span>\n\n <\/div>\n\n\n\n \n
\n\n \n \n\n <\/path>\n\n <\/path>\n\n <\/path>\n\n <\/svg>\n <\/span>\n\n \n Ad and Brand Tracking Studies\n <\/span>\n\n <\/div>\n\n\n\n \n
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\n Methodologies\n <\/p>\n\n

\n Advanced methods for clearer answers.\n <\/h2>\n\n

\n We use the right methodology for the business question, audience, timeline, and decision the research needs to support.\n <\/p>\n\n <\/div>\n\n\n\n \n

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\n Predictive Modeling\n <\/h3>\n\n
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  • \n Regression analysis, including linear and logistic regression\n <\/li>\n\n
  • \n Multiple discriminant analysis\n <\/li>\n\n
  • \n Path analysis\n <\/li>\n\n
  • \n Structural Equation Modeling\n <\/li>\n\n <\/ul>\n\n <\/article>\n\n\n\n \n
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    \n Perceptual Mapping\n <\/h3>\n\n
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    • \n Factor analysis to identify constructs underlying brand attributes\n <\/li>\n\n
    • \n Mapping brands among audiences with different preferences\n <\/li>\n\n
    • \n Correspondence analysis\n <\/li>\n\n
    • \n Competitive positioning interpretation\n <\/li>\n\n <\/ul>\n\n <\/article>\n\n\n\n \n
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      \n Tracking Methodologies\n <\/h3>\n\n
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      • \n Track metrics over time to identify trends in data\n <\/li>\n\n
      • \n Identify statistically meaningful differences\n <\/li>\n\n
      • \n Use effect sizing when statistical significance is not appropriate\n <\/li>\n\n
      • \n Monitor performance across markets, brands, or audiences\n <\/li>\n\n <\/ul>\n\n <\/article>\n\n\n <\/div>\n\n <\/div>\n\n <\/section>\n\n\n\n \n
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        \n\n \n\n\n \n \n \n\n <\/path>\n\n <\/path>\n\n <\/svg>\n <\/span>\n\n\n \n \n\n \n Have a research question you need to answer?\n <\/strong>\n\n \n Tell us what you\u2019re trying to learn.\n <\/span>\n\n <\/span>\n\n\n \n \n \u2192\n <\/span>\n\n\n <\/a>\n\n <\/div>\n\n <\/section>\n\n\n<\/section>\n\n\n\n