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Techniques
The AIM team has in-depth qualitative and quantitative research, reporting and analysis experience in:
  • Best practice benchmarking
  • Brand awareness and value
  • Business barometers
  • Call centre solutions
  • Gap analysis
  • Market potential and opportunity
  • Market segmentation
  • Mystery shopping
  • New launch risk analysis
  • Product lifecycle & development
  • Satisfaction survey

In association with the applied statistics departments at leading Universities AIM provides expert analysis and recommendations in the following applications:

  • Agglomeration
  • Multiple Regression Analysis
  • Questionnaire Design
  • Statistical Relevance

For the non boffin readers, we have prepared a simple explanation of what some of the trickier words above mean:

Agglomeration is a method used to cluster groups of results by their similarity. For example when looking at customer responses to a study, you might want to know what type of customers you have and if there are groups of people with the same opinions.

Multiple regression analysis is used to establish what the main drivers of a result are, for example, what had the most effect on customer satisfaction.

Statistical relevance is used as a way to prove if the volume of customer enquiry responses as a percentage of the target audience is enough to answer the overall research question.

In a nutshell: ask AIM what you need and we will advise you which method is most appropriate and cost effective.

Trust us: leave the nerdy stuff to our statistics specialists who love dealing with these things. They find it fun, our typical senior manager clients………… do not .
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