Iris, a data analysis and strategy development firm, executed a multi-phase project to address the client's needs. The first phase involved web scraping and data analysis. Iris partnered with a firm specializing in web scraping to gather pricing and sales information for a two-week period covering every screening time across major chains. They also identified factors likely to predict price differences, such as local income, population density, and nearest competitor. The second phase involved developing a Customer Relationship Management (CRM) strategy. Iris used digital intelligence, including social listening and website traffic analysis, to map social, search, and website behavior with events and pricing data, assess consumer sentiment through social channels, and analyze promotion trends versus competitors. The final phase was strategy development. Using their experience with loyalty and subscription-based pricing, Iris developed recommendations and a roadmap for the client. They developed strategy-driven loyalty offerings, including subscription-based pricing and identified gaps in existing loyalty offers. They also identified trends in the existing market for ticket pricing and opportunities to target 'Pay-As-You-Go' ticket prices for quick wins and longer-term considerations for an unlimited subscription model.
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