Dynamic Pricing with Events

Predict demand spikes and adjust prices earlier to maximize revenue. Update dynamic pricing models with PredictHQ.

Powered by PredictHQ

  • Booking.com
  • Domino's
  • Wyndham
  • goPuff
  • Accenture
  • Amadeus
  • Sonder
  • Qantas
  • First Data

Enhance dynamic pricing. Drive business results.

You can create better dynamic pricing strategies with demand intelligence. Uncover which events drive demand and factor them into your pricing strategy to make the most of an incoming demand spike. HQPlus, a hotel software platform, saw a 10% increase in RevPar (revenue per available room) when using intelligent event data in their pricing models.


Demand intelligence improves pricing models

Price ratcheting doesn’t happen until 30-50% availability has been achieved, making it too late to profit from initial bookings. Demand intelligence helps data science teams identify historical demand catalysts based on dynamic event data so you can focus on a proactive, automated pricing approach.


Updating your pricing strategy starts with high quality data

Real-world event data is always changing, difficult to standardize, and often messy with duplicate events and spam. PredictHQ starts by making event data accessible - HQPlus customers experience a time savings up to 90% by eliminating manual event search and analysis efforts. The core of demand intelligence is high quality data that is aggregated, cleansed, enriched, and ranked. Data science teams can access intelligent event data through our API.

How to implement dynamic pricing strategies with events

Accessing intelligent event data is just the beginning. Integrate demand intelligence into your automated pricing models with these steps.

Determine pricing factors

Establish correlation between historical demand anomalies and intelligent event data with PredictHQ. Once correlation is established, you can identify the event categories that impact your business the most.


Predict future demand

Identify which future events will impact your business. With our API of intelligent event data, you get a single source of high quality data to easily integrate events as features into your pricing models and adjust your pricing strategy.


Dynamically adjust pricing

Events are a dynamic data set. If you don’t track events, or have static events that were manually pulled, then your pricing prediction models aren’t robust. Using demand intelligence, you’re able to adjust pricing in a more dynamic way.

download-store-analyze-enrich-adjust pricing

Create powerful dynamic pricing strategies

Segmented pricing

Customers are charged based on their willingness to pay for a product or solution

Peak user pricing

Customers are charged during rush or peak hours - i.e. when demand is the highest

Time of purchase

Customers are charged based on when they purchase

Service time

Customers are charged for a more efficient service - i.e. same-day service

Why dynamic pricing matters

Data teams rely on high quality data to understand market conditions across all industries. Demand intelligence is designed to seamlessly plug into current data models and make your pricing strategies more dynamic.


Adjusting online prices gives retailers the flexibility to stay competitive with other online deals without compromising the brand.



Real-time price trends across thousands of flights allow airlines to quickly adjust and better predict upcoming air travel.



Anticipating booking curves with event data can increase RevPar and have profit boosts of 25% for hotels.



Adjusting prices based on real-time demand to increase profits and maximize the usage of driver supply.


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  • Accenture
  • Wyndham
  • Booking.com
  • Amadeus
  • Qantas
  • Domino's

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Legion relies on PredictHQ to help retailers
eliminate labor inefficiencies

“Don't underestimate how much effort it takes to work with event data...Being able to rely on a company whose sole purpose is to remove the ambiguity of event data has been game-changing for us."

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Thomas Joseph Head of Data Science at Legion Technologies

Hoteliers achieve an increase of 10% RevPar

“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."

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Sven Blaurock Head of Product at HQ plus

Aviation Rank™ empowers airline analysts

“Airline analysts have traditionally been swamped with data around events with little guidance on what to do with it. PredictHQ's Aviation Rank changes this, vastly empowering analysts to make simpler, quicker and smarter sense of the impact events have on demand – in turn enabling airlines to optimize inventory and boost revenue."

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Benjamin Cany Head of Offer Optimization of Airlines at Amadeus

5x increase in revenue with PredictHQ

“With PredictHQ, we can now use their data and predicted impact to analyze and recommend prices for major events much more easily and accurately."

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Andrew Kitchell CEO and Founder of Wheelhouse

25% increase in customer sentiment

“PredictHQ has been a fantastic resource. They were able to help us uncover the impact of events, from sporting games, concerts and conferences to the effects of weather and political activity."

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Mirko Lalli Travel Appeal CEO and Founder

35% increase in conversions

“PredictHQ demonstrated that they could reveal insights better than we could guess with our manual alerts. They were instrumental in driving up conversion rates further than we could imagine.”

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Mark von Nagy CIO at Online Republic
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