As of this week we're rolling out redesigned sub-category pages. These pages will serve as hubs for relevant content about each sub-category with new filters to help users move beyond a single top solution recommendation and instead help users identify the solution that is right for them.
Key changes:
- 🎯 Segment based recommendations & buyer personas
- ⚙️ New data filters to give users the power to find the right fit
- 📖 Unified content hub of helpful resources
🎯 Segment Based Recommendations & Buyer Personas
There is no best overall vendor in any given category nor has there ever been just as there is no single best hotel asset. But to make comparisons amongst hotels asset managers and buyers use metrics like REVPAR and similarly HTR uses the HT Score.
The reason for this is that popularity is not a strong indicator of fit (or it would just be a bigger is better competition). Having said that, popularity does tend to be a strong indicator of fit when applying segmentation (ie. most popular for resorts, most popular in Europe, etc). For example, an mobile ordering solution that is recommended by lots of resorts is more likely to be a good fit for a resort looking for mobile ordering than a vendor who is not recommended by other resorts.
For this reason we have created the new buyer personas that outline hotel types that tend to have unique attributes which lead them to make similar tech purchasing decisions.
At a glance users can now quickly see that there is no one size fits all solution but rather there are different tools that serve different types of properties with unique need.
⚙️ New data filters to give users the power to find the right fit
The new data filters enable HTR to move beyond a single overall ranking and instead allow users to quickly refine the rankings based on their own criteria including hotel size, city, region, hotel type or even PMS.
📖 Unified Content Hub of Helpful Resources
The new category pages are jam packed with helpful resources for buyers giving them tons of free tools, resources and content all related to the category they are researching including:
- Recommended articles
- Free report downloads
- Category buyers guide
- In-depth deep dive (overview, benefits, features, pricing, implementation and FAQs)
- Related categories