messaging
Everything Hotels Should Know About Messaging Through WhatsApp
Ever since WhatsApp hit the market for individual users, people all around the world just can’t seem to get enough of it!
7 Tips for Your Advertising Creative During COVID-19 Recovery
With the right creatives, you can be flexible how you show cancellation policies, advertising promotions and special offers to your audience
Conversational Copywriting: How Hotels can Increase Direct Bookings
Conversational copywriting is a great tool for hoteliers to use to provide the right information at the right time to your potential guests
Hyper Personalized Hotel Website Content for Mobile?
If you’re looking to increase website mobile conversions, focusing on personalization and hyper-targeted messages is key for direct channel growth strategy
Customer Behaviour is Changing. Your Website Messages Must Adapt
We’ve looked at customer interactions with messages to analyze and pinpoint which types of content, targeting and message delivery are proving effective
Chatbot Messaging or Just Messaging – What’s the Difference?
Over the last decade, messaging has become an intrinsic part of our communication – we are not only messaging friends and family anymore, but also brands
Google Reviews are Back: How Does This Affect my Hotel?
During insecure times, information is key. Whether Google, TripAdvisor, or any other reviews site, communication is vital to reassure and set expectations
Hotel Reopening Strategies to Engage with Guests Online
When promoting long staycations, take advantage of geo-targeting options to personalize offers and messages for domestic guests but exclude local residents
Best Practices for Messaging Your Hotel’s Reopening During Crisis
How can your hotel instill trust in loyal guests and new guests in a post-COVID-19 world? The answer is consistent communication and thoughtful messaging
Four W’s of Data Analysis for Hotel Recovery Marketing Strategy
We’ll walk you through simple ways to use data to inform your hotel recovery strategy, starting with four W’s of data analysis: who, where, why, and when