We use advanced analytics to drive insight

We select the appropriate technique, from an array of advanced analytics, to uncover and convey practical insights. Thus by choosing the right technique we are able to support your strategic decision making.

Many of the analytical methods can be complex and technical. However, we promise to be transparent and informative, and we won’t weigh you down with “jargon”. Therefore we ensure you can focus on what’s important, by applying what we discover to drive your business forwards.

And use the appropriate analysis technique to meet your objective...

Key Driver Analysis

To help business prioritise improvements, action planning and set financial incentive schemes by identifying drivers of satisfaction/ dissatisfaction, or loyalty

Usage example

Trade-off Analysis

To optimise brand, product or service features and their importance (e.g. Conjoint Analysis, Discreet Choice Modelling (DCM), Max Diff, and TURF Analysis)

Usage example

Price sensitivity analysis

To help business maximise market share and arrive at the optimal price to charge for products and services (e.g. Van Westendorp, Gabor-Granger)

Usage example

Segmentation & personas

To help understand who your customers are, their typical personas, and which segments are more important to your brand and the relative size of them

Usage example

Perceptual mapping

To demonstrate how brands, products or services are perceived, and how they differentiate from the competition (e.g. Correspondence mapping)

Usage example

Free e-book

For more information, download our FREE guide on advanced analytical techniques

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