Case Study

42% increase in bookings at a 28% higher revenue per guest for a boutique hotel chain

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42%

increase in bookings

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28%

improvement in revenue per guest

Background

A chain of boutique hotels was looking to increase profits and improve the customer experience. The business had already invested in traditional marketing methods but was not seeing the desired results.

Goals

The primary goal was to increase profitability by driving more bookings and increasing revenue per guest. The secondary goal was to improve the customer experience by providing personalized recommendations and offers.

We developed a comprehensive digital marketing strategy that included the use of AI and data-driven marketing. The strategy included the following components:

Data Analytics

Personalization

Dynamic Pricing

1

Increased Profitability & Booking Rate

The campaign was successful in achieving the primary goal of increasing profitability. The hospitality business saw a 28% increase in revenue per guest, and a 42% increase in bookings within the first six months of the campaign. The use of AI and data-driven marketing played a significant role in achieving these results.

2

Improved Reputation & Brand Association

The secondary goal of improving the customer experience was also achieved. Customers reported a higher satisfaction rate due to the personalized recommendations and offers they received. The chatbot also received positive feedback, with customers appreciating the quick and helpful responses.

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