| |
|
|
|
|
| |
Econometric Modelling: When you want to know how much you need to spend to get the right level of return on investment, we make use of econometric modelling to identify key drivers of sales, footfall or other consumer responses, evaluate the payback from your adspend, pricing policy, promotions, sponsorship activities etc. as well as deliver results useful for forecasting and scenario planning. |
|
Structural Equation Modelling: Why do your customers buy your products? SEM can help to tease out some finer points about customer behaviour that may not be immediately apparent. The results may surprise you. |
|
| |
|
|
|
|
| |
Risk Assessment: We can take some of the uncertainty out of “what if” scenarios by conducting risk assessment analyses that reveal the range of returns a marketing budget could deliver and also identify the variables or underlying assumptions that make the biggest difference to that potential return. |
|
Audience Modelling: With the help of audience modelling, we can quantify the key drivers of audience ratings, mainly with regard to radio and TV commercials, and use the results to predict future consumer viewing/listening behaviour. |
|
| |
|
|
|
|
| |
Segmentation: If you need to know who you should be targeting with your products, we can employ segmentation techniques to cluster consumers according to specific attributes (e.g. behavioural, demographic, psychographic, geographic, etc.). Our findings can make a positive difference to optimising your company’s activities to suit the specific target group. |
|
Pricing and Promotion Planning: Is pricing and promotion planning something of a headache for you? Using the outputs from econometric modelling, we can look at ways of improving promotional strategies to grow sales while at the same time limiting cannibalisation of your remaining product portfolio. |
|
| |
|
|
|
|
| |
Tracking Measures: Research helps you to understand your customers – what they see hear and think about your brand. But which opinions really count? We can sift through your wealth of tracking data and let you know which measures reflect sales and hence should be seen as your KPIs. We can also reveal which measures can be used to predict future sales movements and which just move in response to sales leaving you with a clearer picture of the ones that really matter. |
|
Reach and Frequency: If you’d like to make more informed choices with regard to developing reach and frequency strategies for your advertising activities, we can perform various analyses to find out how often you should advertise and how many people you need to reach with your communications, all in the interest of maximising advertising-based sales uplift. |
|
| |
|
|
|
|
| |
The modelling and analysis techniques briefly explained above are just a small part of what we can do at Data2Decisions.
Beyond these modelling approaches, we can also use a wide range of other research techniques to help you to understand both what your business metrics say about your company and, perhaps even more importantly, why. Integrated use of research and other key data can shed light on various issues, such as target setting, determining the most useful key performance indicators or predicting the sales uplift from a new campaign. |
|
In addition to those presented above, our research techniques include the following:
 |
Cluster analysis |
|
Factor analysis |
|
Conjoint |
|
Drivers analysis |
|
Latent class modelling |
|
Awareness modellingResearch-based sales forecasting |
|
|
 |
|
|
|
 |
