Don’t miss the next Taylor Swift-level demand surge

Taylor Swift’s Eras Tour is predicted to drive $80B in consumer spending worldwide

Since Taylor Swift announced “The Eras Tour” in 2022, Swifties have driven millions in local spending for each sold-out tour stop. Resale tickets have sold for $40,000 a piece, and hotel rates have jumped from $169 to $1,000 per night, ruining already-booked wedding plans. 

A major payment card company saw a shocking $23.8 million spending boost in one day from Taylor Swift’s concert at Metlife Stadium. They didn’t predict this surge, so they missed out on the chance to capitalize on the increased demand. This story isn't unique, it happens millions of times a year, across all industries.

This is why leading companies turn to PredictHQ’s predictive demand intelligence, which tracks 19 categories of events worldwide. Businesses use this data to make actionable predictions and align operations with local demand patterns at scale. Predict the unpredictable and stay ahead of demand, so you can:

• Identify demand catalysts to improve supply chain efforts and inventory levels

• Unlock better targeting and timing for your ad campaigns with privacy-safe event data

• Be aware of impactful events in advance and adjust prices sooner

• Reduce labor costs and improve profitability by scheduling around events

• Use event data to enable your AI models with contextual real-world data

Tap into local event impact to capture revenue streams at scale

When major headliners come to town, local businesses see increases in demand that are difficult to meet without adequate preparation. Concerts like Taylor Swift’s The Eras Tour, typically attract hordes of excited people, increasing local demand for transportation, accommodation, restaurants, parking, and more.

It’s essential for businesses across industries to be prepared for concerts and other major demand drivers. By using predictive demand intelligence, businesses can take advantage of the opportunity presented by impactful events.

Master predictability across all of your business locations

Taylor Swift has a massive impact, but so does the combined impact of smaller events. These events may not always make headlines, but their collective impact should not be underestimated. When you consider the cumulative effect of these smaller events over time, their influence can be just as significant, if not greater, than that of a single major event.

By offering a comprehensive view of the entire event landscape, PredictHQ empowers businesses to make informed decisions and strategically plan for the future. Whether it's a Taylor Swift concert, a local music festival, or a community event, every event has a role to play in shaping demand and driving consumer behavior.

For example, Instacart uses PredictHQ to avoid event-driven disruptions and optimize grocery transactions for millions, global travel booking company Launchtrip uses PredictHQ to identify valuable events for their users, and ParkMobile uses the data to boost parking reservations.

Join the ranks of leading companies using predictive demand intelligence

PredictHQ's customers, from Uber to Domino’s Pizza to Accor Hotels, use our web application and APIs to identify which of the hundreds of thousands events each week will impact their demand — so they can create dynamic and accurate plans for staffing, inventory, pricing and other core functions across locations.