HotelTechReport's membership pricing will be increasing on January 1, 2025 with the rollout of new membership plans.  Please read the below notice for more info about the price increase.

This is the first membership price increase in more than four and a half years since HTR rolled out the current Premium 3.0 Membership plans back in April 2020 which are still available today.

Since rolling out Premium 3.0 in 2020, HTR's Membership pricing has remained flat despite making substantial investments to grow the value of membership by: (1) growing traffic from 39k monthly users to 200k+ (2) redesigning the entire platform from the ground up and (3) adding tons of new features for members (more detail below) all without a single price increase.  During these same four and a half years without a price increase, costs of doing business also increased dramatically (22.34% inflation since March 2020).

To account for increased cost of doing business and substantial ongoing investments made into the platform, HTR will be rolling out its first price increase.

1️⃣ Will existing members be impacted?

Existing members on annual membership plans will be grandfathered into current pricing for up to 2-years.

2️⃣ How can I get grandfathered into current pricing?

Legacy pricing plans will be available via the membership portal in the vendor dashboard through December 31, 2024.  All companies who upgrade prior to December 31, 2024 on an annual plan will be grandfathered into legacy pricing plans for up to 2-years.

3️⃣ What benefits do Premium Members get?

• Overview of Silver Membership Benefits
• Compare Plan Benefits, Details and Pricing via the Membership Portal
  
• Premium Member References & Testimonials

4️⃣ What new benefits have been added for members since the current Premium Membership 3.0 plans launched in April 2020?

In addition to growing traffic by more than 5x (39k monthly users > 200k+ monthly users) since rolling out Premium v3 back in April 2020, HTR has also rolled out tons of new features and benefits for members (without a single price increase).  Some of these include: 

1. Visibility and Leads 👉 Premium Members now generate more than 3x more profile views and leads

• Redesigned Lead Inbox with Lead Targeting and native CRM integrations to bolster lead engagement
• Lead booster to drive more visibility throughout thousands of pages and UI elements site-wide 
• New ways to generate visibility and leads via: redesigned department hubs, redesigned sub-category pages, PMS App Finders, Partner Integration Pages and the AI Tech Stack Advisor

2. Cost Savings 👉 Premium Members on average save more than $4,300/year on leads and ad campaigns

• Premium Members now get 50% off leads to save thousands of dollars every year (for most members this new benefit alone covers the entire cost of membership)
• Premium Members now save thousands of dollars on HTR Agency ad campaigns with members only discounted pricing

3. Branding 👉 Premium Members benefit from enhanced branding and AI powered features

• Enhanced branding and customization through Redesigned Premium Profiles with new functionality including: Product Level Branding, Feature Groups, Review Search, Native translations into 10 languages and more
• AI powered buyer analysis tools including: AI Enhanced Company Descriptions and AI Review and Expert Recommendation Summaries
• New ways to syndicate content to generate visibility including: Case Study Builder, Redesigned Report Pages and newsletter content syndication to 60k+ monthly hoteliers

4. Reputation and Rankings  👉 Premium Members have dozens of new features to save time by automating time consuming processes

• Features to automate time consuming review collection processes including: Review Campaign Automations, Bulk Review Updating
• Features to boost conversion on review campaigns to optimize reputation including: Gmail and Outlook Integrations, Team and Language Specific Templates and Branded Footer
• Features to more effectively monitor and optimize rankings including: Redesigned Reputation Report Card and Partner recommendations inbox
• Features to showcase reviews and boost conversion including: Native Review Social Sharing and Customizable website widgets library

5. Misc 👉 

• Enhanced dashboard experience via: Dashboard Redesign, Ledger system to track transactions and Membership Portal
• More ways to get promoted via newsletter, Outbound Campaigns and HotelTechInsider podcast promotion
• Premium Member Support Bot & Coaching Checklists to maximize membership ROI
• App Store API to infuse HTR's data into your own product

One of the most common requests that we've received from clients since launching the live PPC Auction is the ability to get a forecast of potential clicks and coaching tips to maximize click volumes so we've been hard at working building just that and are excited to roll out the new missed clicks forecast.  Click here to learn how to use the missed clicks forecast to optimize your ppc campaigns

Next month we're going to be rolling out several new features to the Review Manager and since we're in the middle of the HotelTechAwards we wanted to make sure to announce these a few weeks in advance so companies can plan accordingly if you'd like to utilize any of these new features in your awards campaign.

1. 💌 Send from your Gmail to boost conversion rates on campaigns
2. 📝 Shared team templates to save time and simplify collaboration
3. 🇪🇸 Language specific review links
4. 🎨 Customizable branded footer to boost conversion
5. 🏷️ Tag updates to simplify list organization

1. Send from your Gmail to boost conversion rates on campaigns

• Before: All campaigns and review requests were sent from an alias email address that wasn't recognizable to recipient
• After: Ability to run review campaigns that are sent from your own email address to boost conversion on campaigns

Please note that this will be a Premium feature will be available to Gold and Platinum Members

2. Shared team templates to save time and simplify collaboration

• Before: Each team member had their own templates that only they could utilize and if you wanted to run campaigns with different templates (ex. running campaigns in different languages) you'd have to keep updating them constantly for each campaign.
• After: Now teams will have a library of shared templates

3. Language specific review links

• Before: The dynamic {{review_link}} inserted into all campaigns defaulted to english and relied on user's browser to switch the language upon arrival for all other languages
• After: Now in the new template library you'll be able to set the language for your template and it will insert the respective language native review link

4. Customizable branded footer to boost conversion

• Before: Users would have to manually create a branded email footer in design software like Canva
• After: Now in the new custom footer tab you can easily customize a professional branded footer to boost conversion on campaigns.

Also...you can use the custom footer to send campaigns on behalf of another team member.

5. Tag updates to simplify list organization

• Before: When a user imported a list of customers a tag would be automatically generated with the date of the import and importers first name.  As companies began to run more campaigns this became overwhelming in the UI and made it extremely difficult to filter by tag in the review manager (especially since all tags were sorted by least recent first).
• After: All auto-generated tags will be removed to de-clutter the work space and simplify filtering and organization so only intentionally created tags will remain.  Additionally, the list of tags will be sorted by most recent first making it quick and easy to find your most recent and relevant tags.

Feb 2025 Update: Citations & Sources for AI Generated Product Descriptions

In an effort to create consistency add depth to product descriptions for users (as well as save time for vendors having to write them), we've infused AI into product descriptions to automatically generate an in-depth description based on the following data sources:

• AI Generated Review Summaries (view example)
• AI Generated Partner Recommendation Summaries (view example)
• Product description field in the profile editor (view example)

More Context About This Update

After surveying our audience of hotel tech buyers we found that most company descriptions generally had two major problems:

1. Too vague: They didn't tell users exactly what companies products do
2. Too much hyperbole: Most company descriptions were filled with filler words and hyperbole (i.e. words like revolutionary, etc.) that reduced user's trust in them

Given that feedback from users, we decided to build this feature leveraging AI to ingest information from your company's self-written description as well as other profile information like reviews and output a clear, consistent and to the point description using a series of LLM prompts.

We're excited to announce a new way to generate even more visibility and leads via HotelTechReport through the all new, live PPC Auction 🚀.  The live PPC Auction will be available in select categories at launch and will open up a scalable new ad format to drive clicks to your website in autopilot.

Learn more

Today we rolled out an update to HTR's hotels database and hotel lookup on the site where we migrated from Google Places as the core search to Tripadvisor.

TL;DR

• At the core of HTR is our hotels database
• Since inception, we have used Google Places as our hotel lookup to find hotels
• PROBLEM #1. The issue with Google Places as our core lookup is that its not specialized for hotels which meant that the database was able to have hotels that weren't even hotels (ie. users could select their city or any other type of location in Google) and Google often doesn't have the best hotel specific content
• PROBLEM #2. In order to launch HTR's upcoming AI Tech Stack Advisor tool we needed a stronger foundation of a hotel lookup that could accurately on-the-fly build a model of a hotel with key attributes like location, size, ADR, chain scale, amenities and hotel type while ensuring that the only results in the hotel lookup field were real and valid hotels
• New Hotel Lookup Component. As such, we rebuilt our entire hotels db and hotel lookup throughout the site with a new component built on a foundation of Tripadvisor's API with custom logic and mappings for things like keywords, attributes and guest type to further enrich and segment the database and ensure accurate hotel lookup and model building in real time on-the-fly
• Historical Data Migration. A major undertaking in this project was to run the old hotels database of 100k+ hotels through the new hotel lookup component to verify, validate, enrich and de-dupe hotels which impacts historical data in the database 

How will this impact my company?

Migrating historical data is a massive undertaking and will be rolled out over the next several weeks gradually updating ~5,000-10,000 hotels per day.  During this time you will likely notice some changes to the flags on reviews on your profile as existing/legacy hotels in the database get mapped to Tripadvisor hotels and then enriched via the new hotel lookup.  If you have any concerns or see any data that you believe to be inaccurate please let us know.

As we all know, there is no one best overall solution for all hotels in any category but rather there are better solutions (and worse solutions) for each individual hotel based on key attributes and buyer preferences.  

For this reason, HTR has been taking steps to continuously serve personalized results to users beginning with segment based rankings and Site Personalization is the next step in the evolution of providing a personalized buyer experience to each user as they browse the site based on attributes like their hotel size, location, PMS and more.

TL;DR

• HTR automatically identifies each hotelier's location based on IP address and stores this info via the new personalization settings which can be found on each category page (see below)
• Hoteliers can then add to their personalization settings additional info like their property size and PMS to further personalize their results
• Each hotelier's personalization attributes get saved and not only do the recommendations on the page they're on get personalized--but these settings get stored globally site wide so anywhere the user goes on the site they will automatically have results personalized to them
• Vendors can generate more (and better fit) leads by (a) improving segment based rankings and (b) configuring Lead Targeting settings (aka. Tell the HTR App what types of leads are best fit for you that you want to connect with)

Issues We Heard From Hoteliers

1. "It's tedious to continue applying the same filters on each new page"
2. "The default recommendations show vendors that sometimes don't even service my region"
3. "I reached out to a vendor that for a price quote or demo but they told me they don't service my region"

Issues We Heard From Vendors

1. "We're getting leads from regions that we don't service.  We don't want to ignore these requests but we also don't want to accept them because we don't service the region"

How This Feature Solves These Problems

The default sort is now set to personalization so that results show more relevant matches for users which not only takes segment based reputation into account but it also prioritizes vendors who are actively connecting with similar hotels  to improve the hotelier experience by reducing no response rates by increasing the probability that hoteliers reach out to vendors who are actively connecting with hotels in their region.

Tip to Generate More Leads from Your Target Segments

When you are logged into your vendor account you can now see your Lead Targeting Settings on category pages, make sure your Lead Targeting Settings match the types of leads that you want to connect with to generate more (and better fit) leads.

Users can now easily search reviews to quickly find specific content or data points that they are most interested in.

Earlier this week HTR officially rolled out AI Review Summaries.  We will be staging the rollout of this feature over the coming weeks with new products being analyzed by AI each day so keep an eye out for the new 'AI Summaries' badge on your profile.  

This feature will help hoteliers extract key topics, keywords and insights from thousands of reviews in a matter of seconds helping them make better decisions faster.

• Want to check out some examples of products that have already run? Check out: Duve, Oaky and Mews. 
• Want your product to be analyzed sooner? Reach out via the live chat to request to fast track your profile

Things to Keep in Mind

• Eligibility: Only products with a trustworthy profile (25-reviews) will have access to this feature.
• Content Control & Curation: HTR does not control the content generated from the AI Summaries feature.  We use OpenAI's API to analyze reviews and this is automated and executed programmatically based on the content of your product's reviews and partner recommendations.
  
• Updating for Freshness: Content is updated for summaries automatically for both hotelier reviews and partner recommendations when a given product generates an incremental 25-reviews (ex. if you have 50 reviews today and AI runs, then it will re-run when you reach 75-reviews, etc)

On average HTR buyers guides generate between 100-400 organic downloads/year in each category.  As such, when clients want to generate leads via downloads HTR invests to drive additional visibility and downloads by running multi-channel promotional campaigns driving traffic to the landing page to generate more downloads, faster and be able to service client demand in a given category. 

As such, HTR is subject to changes in demand and pricing in the digital marketing ecosystem which is why these campaigns fluctuate in pricing.  The below change reflects the change in advertising and acquisition costs and goes into effect for campaigns purchased individually or requested as part of a membership plan after June 1, 2024.