Forecasting Success: How Predictive Modeling Helped AEM Shape Exhibitor Outcomes

How can data predict success before it happens?

For the Association of Equipment Manufacturers (AEM), understanding what drives exhibitor performance at major tradeshows like CONEXPO-CON/AGG is key to delivering value for members and optimizing show strategy.

To help answer those questions, HAI applied predictive modeling—using exhibitor data across multiple years to identify what really influences lead generation, booth performance, and ROI.

The result? A model that didn’t just reflect the past—it forecasted future exhibitor outcomes with clarity and confidence.

In this case study, you’ll see how HAI:

• Synthesized data from two major events to identify statistical trends

• Built a live model that accurately forecasted exhibitor leads

• Translated insights into pricing, booth placement, and marketing strategy decisions

For AEM, these insights turned data points into strategic clarity—helping their exhibitions team make decisions rooted in evidence, not assumptions.

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Explore the full story: Download the Predictive Modeling for Exhibitions Case Study (PDF)

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