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Travel & Hospitality

Travel and aviation industry has seen drastic changes in the last few years especially with the rising costs and intense competition. They continuously strive to maximize revenue and increase profits (or reduce losses) in an ecosystem which is constrained by short-term capacity, perishable inventory, low variable costs and high fixed costs.

Further the internet has transformed sales, marketing and distribution and further with the maturity of online travel aggregator websites, brand loyalty and customer retention has been a challenge in the industry. Customers have direct access to take advantage of ongoing price wars in the travel industry, and thus imparting them unparalleled power and choice in how they spend their discretionary travel dollars.

Although Hotels, Airlines and Travel are very disparate business, their focus has always been to increase customer repeat, improve retentions and identify opportunities to cross sell. We find that these businesses have a heightened awareness of customer centric delivery, it is part of their DNA, but they often lag in their use of analytics to convert the enormous amount of customer and transactional data that they collect into actionable insights. For most companies data remains an underused and underappreciated asset, they capture loyalty information, but few go beyond the loyalty tier in how they consistently view and take action with their guests based on insights derived from data.

With DecisionTree Analytics, you can gain a better understanding of your customers, predict future behaviors and deliver the services they need when they need them. Our analytics framework can help you Gain a 360-degree view of the customer, drive cross sell and upsell, create highly effective and targeted campaigns, optimize operations and better manage performance of routes, properties and assets.

Marketing
Analytics
  • Market Segmentation & Profiling
  • Marketing Mix Modeling
  • Campaign Analytics
  • Price & Promotion Effectiveness
  • Response Modeling
Customer
Analytics
  • Customer acquisition
  • Profiling & Segmentation
  • Up-sell / Cross-sell
  • Retention & Churn Modeling
  • Profitability Analysis
  • Customer Lifetime Value
Revenue
Analytics
  • Demand & Sales forecasting
  • Inventory Management
  • Price Optimization
  • Revenue Leakage
  • Seasonal Fluctuations Analytics and Planning




Web & Social
Analytics
  • Web site Traffic analysis.
  • Conversion Analysis across digital channel.
  • Visitor Profiling
  • Multi-channel Campaign Optimization



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