Customer Story

Hoteliers achieve an increase of 10% RevPar

Industry
Hospitality, Software

Introduction

HQ plus is a software platform that provides real-time market data on rates and demand of online booking channels to hotels and hostels.

Launched in 2012, the Berlin-based company helps hoteliers and revenue managers stay competitive in a dynamic market by providing accurate marketing intelligence so they can optimize their strategies around pricing and distribution. This requires a lot of high-quality data.

The platform aggregates a variety of different data points—including room rates, hotel reviews, weather, and events. They use this to populate different software modules that guide their customers how to yield their inventory for maximum revenue. Their goal is to provide hotels around the world with the best real-time data to make the best revenue decisions. Adding PredictHQ into their data sources has improved their speed of global expansion and helped them achieve an average increase of 10% revenue per available room (RevPar) for their customers.


Problem

HQ plus were struggling to quickly collect high-quality, global data, slowing the ambitious expansion plans outside of Germany down. Reliable, high-quality data is at the heart of the product, and it was simply unrealistic to serve other markets based on how they were collecting data — which was all manual. Event data was a particularly time-consuming and frustrating challenge — think sporting matches, conferences, and festivals. But it was a key data set for their customers, so they had to find a way.

The process of collecting event data is laborious and frustrating. The team was pulling data manually, scraping events from different sources, and cross-checking everything. "We were building a product that we knew was needed in the market but was going to fail if we didn't spend time on the quality of the data." HQ plus’s Head of Product, Sven Blaurock, says.

"We were building a product that we knew was needed in the market but was going to fail if we didn't spend time on the quality of the data."

“Initially this was fine, as we were just focused on Germany and were signing around 5-10 customers per month, but as we saw traction in the market and looked to expand, there was no way we were going to continue with the status quo.”

In working with their customers, PredictHQ has found that it takes a minimum of 15 minutes to capture one event, and in Germany alone, we see 14,000 plus events per month.

In order for HQ plus to grow their business and knock on the doors of the big hotel chains, most of which have properties outside of Germany, it was taking significantly more time for the team to find event data in other countries. They were less familiar with the events in other countries. It took even more manual steps to research the key venues, the venue size, and the events that were going to be held in those venues. Ultimately, the Berlin team had no real insight into key event activity outside of Germany.

Event data plays a significant role as events can have a massive impact on the number of people who come into town and need a place to stay. They knew that if they were going to succeed beyond Germany, they needed a more scalable, less-manual way to collect it.


Solution

Blaurock and the team spent months looking for an answer before they found PredictHQ. PredictHQ’s easy-to-use API gave HQ plus direct access to real-world event data, verified from billions of data points every day. Every event is cleansed, filtered, enriched, verified, and then ranked with proprietary technology. PredictHQ enabled the HQ plus team to save significant time by eliminating all manual work so they can focus on the bread and butter of their business—rate shopping.

What HQ plus found particularly unique about PredictHQ was the enrichment of the event data. Elements such as geodata are crucial. Geodata enables the team to ingest location-based data that is accurate and crucial for their customers. They can plot location from latitude and longitude, venue name, and venue address. The city population is also crucial to the HQ plus team as the expected demand changes are dramatic depending on the size of the city that the event is being held in.

Finally, PredictHQ’s intelligent rankings of events based on predicted impact were something the team had never seen before with event data but has now become critical in what they surface to customers. The HQ plus team is particularly excited to integrate one of PHQs newest ranks, Aviation Rank™ into their platform. They plan to use the demand intelligence tool to reliably identify the volume of additional flight bookings an event will cause — which in turn correlates to the volume of people from out of town who will need accommodations.

Enriched and intelligent data equals less time required researching, scraping and adding insights on their end.

Getting the most value out of their subscription

Blue Nimarom is the Lead Account Manager at HQ plus and is responsible for ensuring customers are happy with the platform. She uses PredictHQ’s event data regularly to enable customers to prepare and make strategic decisions around pricing for spikes in demand.

The most valuable data enrichment for Nimarom is recurring events — which is when PredictHQ surfaces up information around high impact events that occur each year. Many recurring events change location each time they take place – so there may be a huge demand spike for a hotel in one city, but next time it will be in a different city, impacting different hotels. This is where the real value is realized by hotels. This means one team might be updating the pricing for additional demand that never materializes, while the team in the new location of the event will likely miss the demand spike. Nimarom shares, “Hotels have a product with an expiration date. When you make the wrong decisions around a big event, that can cause thousands of dollars in missed revenue.”

“Hotels have a product with an expiration date. When you make the wrong decisions around a big event, that can cause thousands of dollars in missed revenue.”

Nimarom, Blaurock, and the entire HQ plus team have been able to accelerate their expansion to countries around the world and improve their software from PredictHQ’s event data over the last two years. Their goal is to provide hotels around the world with the best real-time data to make the best revenue decisions is now a reality.


Results

  • HQ plus customers experience a time savings of up to 90% by eliminating manual searching and analyzing
  • Customers increased their revenue per available room (RevPar) by 10% on average when using their software, which includes PHQ event data
  • Can set up a customer account with personalized data in minutes compared to days
  • Speed to international expansion increased, and they now serve customers globally

PredictHQ is a demand intelligence API used by customers such as Uber and Booking.com to predict and adapt to the impact real-world events have on customer demand.