Hospitality customer data case study | EBIT up 22%

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Philosophy

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Trades & field services

[ VENTURE ]

Hospitality training & customer data

Booking and venue data put to work so the highest-spending customers are looked after, driving repeat business and share of wallet.

+22%

EBIT

+12%

Repeat business

+14%

More spend per visit

The problem

Venues sat on booking and spend data but did not use it, so their best customers were treated the same as everyone else. The highest-value guests were not being looked after, and repeat business leaked.

The approach — the N+1 sequence, before it had a name

We put booking and venue data to work, identifying the customers most likely to spend and making sure they were looked after every visit.

UNDERSTAND

Inside the work

Mapped booking and spend data to find the highest-value customers.

WORKFLOW + DATA

Codify & capture

Captured staff know-how and customer data once and reused it across every shift.

EXECUTION

Run it at scale

Looked after top customers to lift repeat spend and EBIT 22 percent.

The result

EBIT rose 22 percent as the best customers were retained and their share of wallet grew. Captured data turned hospitality instinct into a repeatable system.

Every venue knows its best customers by feel. We made it data.

Tony Simmons · Founder, N+1

The same pattern works in your industry.

Will you own the category — or be owned?