Entertainment

 

 

Entertainment 

 

 

 

While theaters and opera houses have a strong cultural mission, they increasingly focus on improving their profitability. We help our customers to drive admissions and revenue with analytics and pricing software solutions.

Client Goals

How can our services help you achieve your goals?

  • Analysis of demand and price structure
  • Simulation of prices and revenues
  • Scoping of interfaces with ticketing system and website provider

  • Calibrate pricing tool based on historic data
  • Develop and test interfaces to ensure ease of use for online and box-office customers
  • Share best practices for online and offline price communication

  • Automatic price updates 
  • Access to customized web-tool to change price settings and real-time reporting (if desired)

Typical results for our clients

+5% - 10%

Attendance at off-peak times

+5% - 15%

Revenue uplift

+5% - 10%

Online share

Our customers

                                                                                               

''SP developed a model that allows us to determine the willingness to pay for individual customer segments. By tailoring our prices accordingly, we increased our revenue by more than 20%.''

- Robert Koch, General Manager, Classictic

Download our white papers

In this white paper we review the development of attendance, ticket revenue and ticket prices over the last years. We examine the pricing models of the top German chains and look at the pricing innovations that may shape the next years.

Smart Pricer German Cinema Pricing White Paper

In this case study we explain the demand forecasting and price optimization at one of European multiplex. We show different dynamic pricing implementation models tailored for specific cinema with insides into the Smart Pricer tool.

Application of Dynamic Pricing at European Multiplex

In this case study we explain the approach used by Smart Pricer to determine Classictic customer's willingness to pay by using A/B testing. Case study shows the used approach in details and presents the final recommendations for Classictic based on A/B testing results.

Using A/B testing to determine the willingness to pay