Travel & Hospitality
Data and digital technologies are redefining travel and hospitality as we know it. In the airline industry, predictive analytics can be used to maximize revenues, reduce operational costs such as fuel and baggage management, plan more efficient and cost effective routes for cargo, and enhance customer experience. Many hotels are still grappling with under-used and under-appreciated data. Big data analytics can be used to revolutionize customer segmentation, investment management, and improve occupancy rates & yields. For aggregators, superior analytics can lead to increased profitability, repeat revenue and customer loyalty.
By leveraging AI-enabled advanced analytics, DecisionTree helps travel and hotel companies gain a 360-degree view of the customer and improve retention, predict future behaviors and deliver services when they need them. DecisionTree's analytics framework can help drive cross-sell and up-sell opportunities, create highly effective and targeted campaigns, optimize operations, maximize revenue and better manage performance of routes, properties and assets.
Prescriptive Guest Analytics
To create a mutually beneficial relationship with the customer, it is necessary to have a 360-degree view of the customer across all platforms such as website, mobile, travel and hotel agents etc. By providing a single source of clean, integrated customer data, we will help you provide an accurate view of the customer’s buying patterns and product service bundles, segment customers based on behaviors, measure guest profitability etc. For example, the front desk can recommend certain local tours to suit a guest’s preference based on his past behavior. Or the airline can recommend an earlier flight to a high-value client based on his past travel patterns, giving them more time to monetize the more valuable ticket.
Cross-Sell and Up-Sell Modeling
With increasing complexity in CPG and retail, companies require in-depth insights to effectively manage and forecast future demand and performance; advanced pricing analytics tools can do that. The use of advanced pricing analytics will improve retail margins 2%–4% and grow sales 1%–2%. DecisionTree uses algorithm models to estimate the impact of pricing on sales volume, optimize the pricing of products/services based on revenue and profitability, price simulation to identify optimal pricing, estimate price-change triggers based on customer behavior and position products properly against the competition.
Personalized Campaigns and Response Modeling
Personalization is becoming more of an expectation for customers in the travel and hospitality space and they can range from targeted banners, interactive content to customized itineraries. We help you by identifying and retargeting those customers who have abandoned carts mid-way, reward and engage your most loyal customers and sending contextual and personalized emails. Through customer response modeling, we help you find out which customers will respond favorably to promotional offers, identify and profile priority customers, find out the lifetime value of a customer and predict his future behavior.
Loyalty Program Analytics
Companies have access to a wide range of data about customers—from purchase history to buyer journey to social media engagement. By applying the right data analytics, brands can better understand customer behavior, identify brand ambassadors and incorporate those insights into loyalty programs. Many travel consumers are increasingly seeking customizability in their loyalty programs. With companies looking for a more customer-centric approach, a strong analytic model can help analyze large volumes of customer preferences and provide insights that can become the marketing foundation.
Social Listening and Digital Insights
Monitoring social networks has become a strategic task rather than a routine one. Millions of travelers worldwide today share photos, experiences and reviews on social media every day. We enable you to find out how your brand is positioned in the market and the conversations surrounding it through sentiment analysis. By leveraging predictive analytics, our experts will help you better know your customers, their interests and needs and use those insights to tweak the marketing strategies. For hotels, social listening is critical as customers provide feedback through a multitude of ways such as social media, feedback forms, mystery audits etc.
Using retail analytics on loyalty card data, a leading pharmacy retail company increased transactions by 15% and clocked 30% rise in average ticket size for loyalty card holders.
Sales at a leading US-based marketplace seller soared 1.5 times, while operating margins registered a 50% increase after changes were made to its pricing algorithm.
Retail giant registered 18% revenue growth by using analytics-driven targeted marketing.