Management Insight's quantitative research services provide the reliable and valid data and informed insights needed to make fact-based decisions about strategy, product lines, specific products, marketing programs and channels.    Management Insight offers a full line of quantitative research, ranging from global tracking studies to bounded concept tests.    To provide the flexibility needed by our clients, our quantitative team is fluent in a wide range of quantitative methods, including choice/conjoint models, perceptual mapping, segmentation/clustering methods and many more.   Most of our quantitative research is conducted on the web or by computer-assisted telephone interview (CATI). 

Global Tracking Studies
These studies provide reliable and valid quantitative data needed to refine strategy and market plans, track efficacy, and hold the organization accountable.    Examples include: Awareness, Consideration, and Preference Tracking; Awareness, Attitude, and Usage Tracking; Global Brand Tracking; and Channel Deployment Share, Preference, and Program Effectiveness Tracking.   Our clients have also implemented choice modeling and market simulation studies in a repeatable manner.

Customer and Market Studies

Customer Studies provide the depth of insight needed to increase installed base satisfaction, loyalty, and future purchases.    These studies illuminate equipment and organizational profiles, satisfaction and loyalty, beliefs about product advantage, efficacy of the customer relationship, the impact of strategic initiatives, customer top-level priorities and tradeoffs, detailed product requirements, demographics and psychographics.    Installed base segmentation models are also developed.   These studies are often accompanied by a parallel market study to gain similar insights around competitor customers.  

Segmentation and Strategy Studies

Segmentation and strategy studies develop a top-level corporate segmentation to guide strategy development, marketing programs, and sales tactics.    These studies typically develop multiple segmentation models, including á-priori segmentations (based on known facts such as industry or size of company), post-hoc segmentations (based on behavioral data uncovered in the research, such as benefits sought, preferences, or conjoint utilities), or hybrid models combining the other two (e.g., men between 25 and 34 who prefer red sports cars).  The key to success in these studies is to tie the segmentation model to the major tradeoff decisions facing our customers.   

Product and Market Studies

These studies are typically bounded studies that focus on specific products or market segments.   Examples of recent product studies include:   next-generation office software collaboration, self-managing RAID arrays, blade server packaging and software, ESM efficacy, Linux-UNIX differentiation and price elasticity, SRM buying model, disaster recovery services, 64-bit processor market receptivity, mid-market financial software, and many others.   Examples of our recent market studies include:   ERP software in the pulp and paper industry (published by Accenture), fault-tolerant computing in four vertical industries,  ESM software in the upper-middle market, advertising effectiveness in four USA cities, and many others.