Introducing Show Forecasts
We are excited to announce the launch of Show Forecasts, the latest feature of Ticket Counts Pro that algorithmically predicts sales for upcoming shows. Show Forecasts enables agents to make better-informed decisions about where to allocate both current and future promotional efforts for their clients’ shows.
Our algorithm analyzes the sales histories of thousands of shows to predict where sales will ultimately end up for each show. The algorithm takes into consideration multiple data points, including but not limited to the venue’s capacity and both the artist’s and the venue’s previous sales history. Ticket Counts Pro makes this all possible by collecting and storing ticket counts in a best-in-class cloud database, freeing your sales data from the limitations of a spreadsheet. With Show Forecasts, agents can more effectively highlight successes to their clients and focus marketing attention on shows that are lagging.
We visualize these predictions on our Artist Dashboard via a three-tiered star system:
Full star: A show will likely come close to selling out.
Half star: A show will likely sell between 50% and 80% of the house.
No star: A show will likely sell less than half the house.
Below is a screenshot of what Show Forecasts look like on the Dashboard for a particular artist:
This three-tiered system can inform both the short-term and long-term booking and marketing decisions that agents make on a daily basis. For shows with a full star, agents can feel more confident about booking their client(s) at that particular venue in the future, while shows with half or no stars serve as a signal to agents to check in on their promotional campaigns in those corresponding markets.
Since launch, our Show Forecasts have predicted sales performance with nearly 90% accuracy. We have collected over 116,000 ticket counts to date and continue to expand our client base every week with new booking agencies. We look forward to seeing Show Forecasts become an integral component of Jamplify’s toolkit for evaluating ticket sales performance and making smarter booking decisions.
