Hospitality Data Analytics

Customer experience managed in one place

Centralise, automate and measure your customer care and communications in a single powerful platform.

The power of Data Analytics for Hotels

Manage and reply to conversations

Centralise ticketing system

Analyse results and metrics

How would it look like for you?

Let us show you.

Console Features

Unified omnichannel inbox

A one-stop solution for streamlining messages from the website chat and different social media and messaging apps, such as WhatsApp, Facebook Messenger, Instagram, Telegram, WeChat, Google My Business, as well as SMS and email.

Performance reports

Find opportunities for optimisation by easily accessing and browsing data, including conversion rate, number of conversations, automation rate, number of direct bookings, and CSAT score.

Assigning agents

Manage and distribute tasks across your team with one click.

User profile customisation

Add tags and notes to user profiles for segmentation and personalisation purposes.

Clear inbox tabs navigation

Jump directly to messages that need your attention thanks to intuitive tabs in the inbox.

Canned responses

Save time answering personalised questions by using pre-filled responses.

Integrated centralised ticketing system

Track the progress of any inquiry from start to close.

Individual agent metrics

Manage and support your team better thanks to insights into individual agents’ performance.

Sentiment analysis

Get an emoji representing the sentiment in each conversation to prioritise them accordingly.

Inbox messages prioritisation

Set a priority for individual conversations to communicate urgency to the rest of your team.

Automated translations

Automatic translation into 130+ languages to remove language barriers.

Conversation filters

Filter conversations per channel, type of request, and more.

Set a schedule by property

Define individual schedules for each property to adjust automation accordingly.

Prompts for FAQ answers improvement

The Console will identify and bring to your attention FAQs answers that require new or further development.

Hospitality Data Analytics : FAQ

A huge amount of data flows through every hotel. By collecting and analyzing this data, a range of insights can be generated. Sometimes, data can have a value beyond the original reason for which it was collected. Hospitality data analytics software is used to analyze a variety of different data sources to bring out the most useful insights for hotel managers.

For example, the data of a single guest could perhaps help your business in the future as you may record their preferences: favorite room type, usual early arrival, and services they tend to book. You can create a special personalized offer for the guest and boost their satisfaction while increasing upselling opportunities. 

What is more, this data may also be added to a wider-reaching data pool that presents you with a projection of the hotel’s busiest times. Some of these may be due to situations you are unaware of such as a local event or conference in the area. This will enable you to prepare for busy times by stocking up supplies and ensuring you have extra staff on hand, and also market special offers for those dates you can predict the hotel will have more vacancies. 

It is not simply about the guests and bookings though. Analysis of maintenance issues could highlight repeated problems that need looking into. For instance, if the light bulb in room 27 has been replaced three times in the last week, it is likely there is an underlying electrical fault that needs repairing. In a large hotel, these small issues can often be overlooked, but with good hospitality data analytics, such insights can be automatically brought to your attention.

By analyzing hotel data, managers can benefit in many ways. It will help them to accurately target marketing campaigns and give feedback on the effectiveness of advertising initiatives. Data analysis can also be used to compare your hotel rates with those at other establishments, to ensure you remain competitive, yet not under-priced. Customer data can be gathered to discover how well you are serving your guests, which services are requested and used most often, and what makes your guests happy. For instance, you may find that your gym is never more than 50% full, but reception often gets asked if you have a sauna. With this information you know that a plan to convert some of the gym space into a sauna would likely be beneficial.

There are many reasons why hotel managers fail to engage with data analytics. It can be due to a perceived lack of necessary technical skills or a lack of time. Initial training in the use of the hospitality data analysis software is important to empower staff with confidence to make the most of it and get value for the time invested in this activity.

It is important to choose a good hotel data analytics system from the start. Ensure it integrates with all your other systems. By putting forward some real-world examples to your team, and highlighting the advantages for the future, you can ensure that everyone is on board and will more readily invest the time it takes to become familiar with the system. 

Discover how +1,600 hotels are using HiJiffy’s guest communication hub to boost revenue