CONSULTANCY


Broadband Consultancy

Quantum-Web works closely with clients to recognise the forces transforming their markets, define business models suited to their competitive situations, and implement these models in ways that deliver impact rapidly and effectively.

Our services include:

• Potential demand
• Penetration forecast, e.g. product/customer life cycle modelling
• Price elasticity of demand & monthly bill forecasts, e.g. using price elasticity of demand
• Take-up of new services
• Tariff forecasts
• Traffic forecasts
• Incremental revenue from new services
• Cost/ROI modelling
• Customer segmentation
• Corporate seminars, briefings and training
• Customized industry updates
• Analyst access hours

 

Quantum-Web adopts an independent, benefits-driven approach founded on our strength in our analytical approach, our responsiveness to our client’s needs and our unyielding focus on delivery.

Quantum-Web clients are stratified in Service Providers and Vendors. Based on this classification we provide an in-deep research and analysis by providing accurate information in order to drive new revenue streams or generating even more business out of the current ones.

 

 

Our expertise rely heavily in Broadband Pricing Analysis

 


 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 




 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Broadband Price Elasticity

 

 

 

 

Price elasticity, the extent to which demand varies with price (or cost) is a crucial factor in broadband market. The lower a service provider’s price or cost elasticity, the less likely price changes or variations will affect the subscription decisions of potential clients. To think of it another way, Deutsche Telekom has perhaps the lowest price elasticity of any broadband service provider in Europe, which explains why its customer base has a steady growing rate compare to many other service provider without lowering its tariffs for a long period.


Measuring the price elasticity of the choices made by subscribers is a critical component of our work in broadband optimizations pricing. Using various research methodologies using econometrics modeling, we measure statistically how considerations of price change and how price interacts with market offerings and other factors and how price and cost changes (changes in both the recurring and the value added services of individual packages) affect subscriber interest and choice.


The price-elasticity models we create enable us to develop reliable predictions of the broadband tariffs and net revenue effects of various offers such as triple play and monthly subscription fee price points and discounting (promotions) strategies.


 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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