Competitive Ticket Pricing Analysis- Competitor Analysis Case Study

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Competitive Ticket Pricing Analysis

Competitor Intelligence Case Study

Problem Statement

A US-based ticket sales and distribution company aimed to refine its pricing strategy by analyzing competitors’ pricing. However, challenges included frequent updates on competitor websites and instances of site blocking, hindering the data extraction process. Additionally, manual section name mapping posed accuracy concerns.

Our solution

Mobius developed a comprehensive solution:

Automated Event Data Extraction: Leveraging advanced web scraping techniques, Mobius automated data extraction to gather event listings with price from competitor websites on a daily and weekly basis, overcoming challenges posed by site updates and blocking.
Custom Section Name Mapping Tool: A custom mapping tool automated matching shared input section names with the crawled output, reducing manual effort and ensuring accurate section mapping.
Dynamic Site Monitoring: Mobius implemented dynamic site monitoring techniques to adapt to changes in competitor websites’ security measures and ensure uninterrupted data extraction.
Quality Assurance Checks: Rigorous quality assurance checks verified the accuracy and completeness of the extracted event data, with a 98% success rate.

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Benefits

Enhanced Pricing Strategy: Insights into competitors’ pricing trends enabled the company to set competitive pricing and maintain market position.
Time Efficiency: Automation reduced data aggregation time by 40%, providing prompt access to pricing information.
Improved Decision-Making: Comprehensive and accurate data empowered informed decisions on pricing adjustments and promotions, enhancing market competitiveness.

Mobius’ solution addressed challenges in analyzing competitors’ pricing. By leveraging automation and dynamic monitoring, the company made data-driven pricing decisions, enhancing market competitiveness. With a 98% success rate, the solution ensured high accuracy and reliability in extracted data, bolstering confidence in pricing strategy.