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Category
Data & IT
Problem
I want to track profile creation to know if integrations fail in the early stage.
Example: 42,000 profiles were created in a single day, while the average is 114
Problem
I have difficulties identifying and resolving issues due to inefficient monitoring of API calls.
I have difficulties identifying and resolving issues due to inefficient monitoring of API calls.
Management & HQ
Problem
I am not able to understand the characteristics of guests for strategic targeting.
Example: bringing all demographic reports from different systems in one format.
Problem
I need a comprehensive overview of the room types’ performance, but I need help to gather this information.
Example: Room type performance data is scattered across multiple PMS'.
Problem
I struggle to measure the effectiveness of my email campaigns in driving reservations and conversions.
Example: The % of conversion within 14 days across the chain.
Problem
I want to know which marketing channels perform best, but need help gathering this information effectively.
Example: Channel with highest room revenue, number of rooms sold, number of reservations, and ADR.
Marketing & Loyalty
Problem
I want to boost engagement and conversions through tailored marketing with customer behavior insights.
Example: Activate campaign after a repeat guest visits the website.
Problem
I spend too much time navigating between the CRM and external communication tools when creating marketing campaigns.
Example: Exporting reservation data from the PMS to CRM system.
Problem
I struggle to measure the effectiveness of my email campaigns in driving reservations and conversions.
Example: The % of conversion within 14 days across the chain.
Problem
I can’t effectively use guest loyalty data for personalized marketing because standard loyalty models don’t fit our needs.
Example: The calcuation of our loyalty system is not rewarding the right guests.
Problem
I want to truly understand the hotel’s main guest segments that bring most value to deliver personalized content.
Example: Segmentation is too broad to uncover clusters of high value guest.
Problem
I experience lost upsell opportunities and low conversion rates based on untargeted selling.
Example: Offering cheap wine to guests that have spent over 200 euros on wine before.
Problem
I want to market to those who are likely to book again at the right time.
Example: Showcasing refurbished rooms to couples that are thinking of booking again.
Solution
Leverage a mathmatical model which predicts the likelihood that a guest will come back.
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