Quantitative Research Services

What is quantitative research?

Quantitative research answers questions such as ‘how many?’ or ‘how much?’ while qualitative research answers ‘what?’, ‘why?’ and ‘how to?’ questions.

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Quantitative research methods

We provide top quality and value-for-money quantitative solutions, and simply recommend what is best for you. Options include online, face-to-face or telephone, mobile and postal research methods and we have no vested interest in promoting one over the other. To read about the pros and cons of different quantitative survey methods simply follow the link. To help you, we work with top UK and global firms, to source lists, conduct fieldwork and also process data. We also get the survey right because we know how consumers think and feel and also what marketers need to know to make better decisions.

Benefits of quantitative research

Providing hard numbers to make a decision
To determine market sizes and shares, customer segments, brand usage, purchasing and also attitudes.
To assess demand at various price points or price and demand trade-offs.

What is statistical analysis and modelling?

Statistical analysis and modelling involves the application of mathematical and statistical methods to understand and model economic or quantitative research data. This is also called econometrics. This includes ‘big data’ gathered from your in-house systems or quantitative research. In-house data typically includes sales, price, and promotion or media impacts or expenditure. Research data typically includes information on customer attitudes, behaviour, purchasing or purchase intent. The application of mathematical and statistical methods to understand or model data is also called econometrics.

Statistical analysis and modelling methods

Using statistical and other research methods we analyse ‘big data’ to understand causes and effects. This involves creating algorithms (mathematical formulae) to explain the relationship between data, for example, by customer segment or type. This then enables us to create ‘what-if’ models to predict other variables such as sales, optimum pricing and profitability.

Benefits of statistical analysis and modelling

To understand ‘true’ sales drivers and effects, for example the effect of different products, prices, promotions including media impressions on demand.
To optimise products or services (using trade-off analysis)
In order to predict the effect of marketing plans on sales or profitability.
To make more informed investment decisions.