Grip’s data on 150,000+ anonymized exhibitors across 500+ show cycles shows what drives exhibitor retention, and how to predict which exhibitors will rebook when the show closes.

About the data. This analysis uses anonymized, aggregated activity data from the Grip platform. Results are reported only as totals, percentages and rates pooled across many shows. No organizer, event or exhibitor name was used in the data analyses.
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FAQ
Six answers, taken straight from the report.
The study shows a correlation. Engagement partly reflects stand size, team seniority and how well the show went. Its value is timing: it is visible on the last day of the show, so organizers can act before rebooking.
Two facts, both known on the last day of the show: how many editions the exhibitor has attended, and how much attention it attracted at the show. Together they place each exhibitor in one of nine bands, with return rates from 27% to 81%.
Yes. First-timers in the least engaged tenth of their show return at 29%, and those in the most engaged tenth at 45%. For repeat exhibitors the range is 63% to 78%. On shows where exhibitors use Grip heavily, first-timers range from 20% to 50%.
Attention an exhibitor receives. Badge scans received add 13 points to the return rate for repeat exhibitors. Interested swipes received and profile views received add 11, and meetings held add 10. With every metric in the model, outbound activity such as meeting requests sent carries zero weight.
On the last day of the show, months before rebooking closes. The lowest-scoring 30% of exhibitors contain 45% of those who go on to churn, which gives a retention team its call list the week the show ends.
Exhibiting history is the strongest single predictor. A first-timer in the top third for engagement returns at 43%. An exhibitor with one previous edition returns at 54% to 67%. The second edition is the hurdle, and first-timers with more engagement clear it more often.
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