BDRC Continental specialises in a number of advanced analytical techniques including:
Pricing
We enable organisations to make highly informed decisions about their pricing strategies. We use a full range of research techniques to help companies understand their optimum price points and use modelling techniques to show the likely impact of changes to price. Techniques include pricing analysis, correspondence mapping, TURF analysis, CHAID, factor analysis, SIMALTO, Van-Westendorp price sensitivity meter and the Gabor-Granger pricing technique.
Conjoint analysis and trade-off techniques
Understanding the factors that make up customers’ decisions to purchase a product or service is a complex process, especially as consumers are often unable to evaluate or their purchase decisions effectively. We help companies understand the decision making process by using trade-off techniques to simulate the evaluation process. A series of hypothetical situations (using variables such as price, product placement and features) are created and then analysed to reveal how customers would respond to each of the different scenarios. This technique enables organisations to identify how customers value each aspect of the product and test potential new products and services to understand how customers would react to product developments. We offer a full range of techniques including conjoint analysis, discreet choice modelling, maximum difference scaling (MaxDiff), paired comparisons and brand price trade-off (BPTO).
Segmentation
Segmenting markets into different customer types enables companies to understand patterns within their market and how they can target their products, services and marketing to meet their customers’ specific needs more effectively. Our techniques, which include k-means segmentation, hierarchical segmentation, CHAID as well as integrated ensemble tools that combine information from multiple standalone methods to give superior reliability and information, can be used to identify which customer groups are most valuable to your organisation and how to maximise the profitability of these groups.
Key driver analysis
Understanding what motivates consumers is vital to ensuring that your business meets their needs, maintains satisfaction and continues to build loyalty. BDRC’s key driver analysis allows organisations to understand which factors driver customer satisfaction by using underlying relationships within the data to highlight the factors that have the greatest impact upon satisfaction. Using techniques such as regression models, correlations analysis and structured equation models (SEM), BDRC identifies areas of weak performance and recommends effective allocation of resources in order to maximise customer satisfaction. Where required, we can build models to show how what degree of change is required in the identified areas to achieve the levels of satisfaction required to stimulate business growth.
Return on Investment Modelling
By linking survey data to financial measures such as customer profitability or value, BDRC’s Return on Investment modelling enables organisations to tie customer perceptions to the bottom line and identify areas for improvement into order to increase customer value. This tool quantifies the link between customer insight and financial performance in order to drive bottom line growth.
Econometric Modelling
Using trend data, our Advanced Analytics team use econometric modelling to give clients a fuller market understanding and predict the impact that changes in marketing and investment spend will have. This technique is invaluable for quantifying the impact of additional investment and analysing what increases in spend will lead to increased profitability.
To find out what else we can do to help your organisation grow, please contact one of our team.
