07 — Intelligence hub

The data behind Australian hospitality and beauty.

Not opinion. Not trend pieces. The specific numbers that explain what’s happening to venues — and what to do about it.

All research

01

Empirical research

The case for Rydra in Australian hospitality

Australian hospitality businesses face a historically brutal convergence of margin-destroying forces — and the tools designed to help are compounding the problem. The full empirical brief: platform costs, wage pressures, insolvency rates, and the data behind why predictive retention is the only category of tool that addresses the actual problem.

Coming soon

02

Churn & retention

The data behind the customer lifecycle in hospitality

70% of first-time guests never return. Returning guests generate 60% of total revenue. The lifetime value of a one-time visitor: $26. Of a regular: $685. The 26× multiplier is the entire business case for retention intelligence — and the data behind it comes from Olo’s analysis of 100 million+ guest records.

Coming soon

03

Predictive analytics

How predictive analytics can tell you which customers are about to leave — before they do

There is a customer in your database right now who is 60 days away from never coming back. Traditional analytics won’t show you that. It’s designed to tell you what happened, not what’s about to. This piece explains what a forward-looking individual-level churn model actually does — and why the distinction between segment-level and individual-level prediction is the entire ballgame.

Coming soon

04

Personal care

The Alkami Blueprint: how Australian personal care businesses can reclaim $50,000+ per year

The average Australian barbershop or salon pays $14,000–$23,000 annually to a scheduling platform that gives nothing back analytically. Add no-shows at 10–15% of bookings and a rebooking rate half the industry target, and the recoverable margin is substantial. The full breakdown — what’s leaking, where it goes, and what a predictive model does about it.

Coming soon

05

Platform analysis

The real cost of QR ordering platforms — what Australian venues should know

Australia’s dominant QR ordering platform processes $2 billion in annual dining transactions across 6,000+ venues and holds 25 million unique consumer profiles. Those profiles belong to the platform, not the venues. The cost structure — 5% commission plus subscription and setup fees — can consume 100% of a venue’s net profit on affected orders. The full breakdown.

Coming soon

06

Industry benchmarks

Australian café industry benchmarks for hospitality strategy

A medium Australian café (50–80 seats) generates $2,500/day, operates on 5–10% net margin, and derives 65–80% of revenue from repeat customers. A loyal regular’s lifetime value exceeds a one-time visitor’s by 26×. The full ATO, IBISWorld, and Square Australia benchmark data — the numbers a venue owner should actually be measuring against.

Coming soon

07

Platform strategy

Why Rydra’s CRM and predictive intelligence model changes the game

Businesses using integrated CRM are 86% more likely to exceed sales targets. Personalised CTAs convert 202% better than generic equivalents. Rydra combines first-party data ownership, individual-level churn prediction, and automated recovery in one system — with no commissions and no data surrendered to a third party. The research behind the architecture.

Coming soon