Data acquisition

Source

Get a holistic view of each customer

Enrichment

Use AI to enrich customer profiles

Segmentation

Creation of hyper-granular customer segments

Prediction

Identifying market trends and predicting demand

Why acquire data

Collecting and enhancing customer data

WE SOURCE

Collecting and enhancing customer data

Multiple data sources: Integrate data from PMS, CRM, website, mobile applications, social media, loyalty programmes and customer surveys to get a holistic view of each customer.

Data enrichment with AI: Use AI to enrich customer profiles with contextual information, such as travel preferences, booking history, spending patterns and social media sentiment.

Advanced customer segmentation: Apply AI to create hyper-granular customer segments based on demographic, behavioural and psychographic criteria for precise personalisation.

Personalising and optimising customer interactions

Predictive recommendations: Leverage AI to recommend personalised rooms, services, restaurants and activities based on each guest’s preferences and profile.

Intelligent chatbots and virtual assistants: Provide 24/7 customer support using chatbots and virtual assistants with machine learning capabilities to answer questions, resolve issues and manage requests.

Dynamic pricing and personalised promotions: Use AI to optimise prices in real time based on demand, customer segment and market conditions, and offer personalised promotions that maximise revenue and customer satisfaction.

Personalising and optimising customer interactions

WE PREDICT

Improving the customer experience and customer service

WE ANSWER

Improving the customer experience and customer service

Chatbots and virtual assistants: AI-based chatbots and virtual assistants can provide 24/7 customer service, answer guest questions, resolve issues and manage French-language bookings.

Sentiment and feedback analysis: AI can analyse online guest reviews and social media comments to identify trends, strengths and weaknesses of the hotel.

Personalised welcome and services: Customer data can be used to personalise the welcome of guests, offer them tailored services and provide them with a memorable experience.

Using data to make strategic decisions

Marketing intelligence and predictive analytics: Leverage AI to identify market trends, predict demand and optimise marketing campaigns to maximise ROI.

Revenue management and profitability analysis: Use AI to analyse booking and pricing data to optimise revenue strategy, maximise profits and improve profitability.

New product and service development: Analyse customer data and market trends to identify opportunities to develop new products and services that meet customer needs and expectations.

Using data to make strategic decisions

WE MANAGE

Your competitive advantages in France

Using AI tools and data acquisition in the marketing of your lodges, in conjunction with an omnichannel digital strategy, allows you to personalise the customer experience, optimise marketing campaigns, improve the customer experience across all channels and make informed strategic decisions based on data. The choice of AI tools and data acquisition strategies must be tailored to the specific needs of your lodge and its customer base. It’s important to put in place a robust data infrastructure to collect, store and analyse data effectively and we have the tools to do this. The culture of your lodge collection needs to be data-driven, and all our staff are trained in the use and interpretation of data generated by AI tools.

Data analysis and strategy optimisation must be an ongoing process to adapt to changes in the French-speaking market and customer expectations. By integrating AI and data acquisition into an omnichannel digital strategy, your lodges can stand out from the competition, offer an exceptional customer experience and maximise their profitability in a high-contribution French market.