The new digital entertainment world offers almost unlimited consumer choice. Our Preference System aims to understand elusive consumer preferences, enabling us to help our clients develop and refine content and marketing strategies.
The Preference System uses advanced data mining and statistical techniques to turn raw data into useful information. Traditional platforms face a rapidly changing media environment. We are currently focussed on understanding their future after digital convergence, using evidence-based forecasting techniques.
A recent development has been an advanced forecasting model that allows users to predict changes in the performance of UK channels as we move towards digital switchover in 2012. The model:
 |
Generates annual audience and share-of-viewing forecasts for nine demographic groups for every channel on the UK audience measurement system through to 2012. |
|
Provides an accurate basis for predicting the impact of changes to the UK television market, ranging from new channel launches to significant variations in the programming strategy of existing channels. |
We believe that our model provides the most accurate basis available for testing the impact of potential market developments as the UK moves towards a fully digital broadcasting environment in the next six years.
In conjunction with other Attentional proprietary services, such as Microgenres®, these forecasts also provide a powerful tool for tracking consumer demand for content.
For more information, contact Dr. Farid El-Husseini on +44 (0)1823 320 507 or
email farid.el-husseini@attentional.com. |
Farid joined Attentional in 2002 after completing his PhD in Economics at the University of Bristol, prior to which he received MSc and MA (Hons) degrees in Economics from the Universities of Bristol and Edinburgh respectively. Farid's PhD Thesis won the Joseph Dorfman Prize, awarded annually by the US based History of Economics Society, for the best dissertation on the History of Economics.
Farid is in charge of economic and statistical modelling and forecasting at Attentional. Recent work has included: the development of a channel performance forecasting model, which has been used to predict the impact of a number of potential scenarios for children's television as part of Ofcom's review The Future of Children's Programming; and a multivariate analysis to compare programme origination costs across a group of terrestrial broadcasters.
Other work has included the design, implementation and quality-control monitoring of customised sampling algorithms as part of a pan-European channel survey for the European Commission; a regional survey of the UK's screen industries as part of a regional multiplier study for the UK Film Council; and a multiple regression analysis to determine the variables affecting pay-TV and pay-per-view movie audiences.
|
|
