Insights from the revenue desk.
Notes from 500+ listings across 16 markets. Practical, data-grounded, no fluff.
Why most Greek STRs are leaving significant revenue on the table
Most Greek operators still run Airbnb Smart Pricing or manual updates. Here's the pattern we see across the Greek portfolios we manage. Dynamic pricing engines are not new, but adoption in Greece lags badly. Across the Greek portfolios we take over, the same two errors show up almost every time: weekends priced too low because the rate never moves far from a flat base, and shoulder-season weekdays priced too high because nobody adjusts once summer logic is set. The first leaves money on peak nights. The second kills pace in May and late September, which is exactly where Greek seasonality now lives.
The 2026 Greek STR regulatory landscape: how the 28-night minimum is reshaping pricing strategy
Recent regulatory shifts in Greek STR compliance have changed the calculus for short-stay versus long-stay pricing. Operators who used to flex between markets are now forced into longer minimum stays in many submarkets. Here's how we are adjusting pricing across the portfolios we manage to capture the new demand patterns.
Booking pace in Greek seasonal markets: what the data actually shows
What the pacing curves actually look like across Santorini, Mykonos, Crete and Athens, from the portfolios we price weekly. Most Greek operators run on intuition for seasonal pace. We watch pacing curves weekly across Greek portfolios, and two windows come up repeatedly: the May-into-June lead curve, where bookings arrive earlier than most operators price for, and the late-September drop-off, which usually hits before anyone reacts to it.
Why most Greek hoteliers use OTA extranets like a sales tool, not a revenue tool
There is a real difference between distribution work and revenue management. Most Greek hotel sales firms operate at the distribution layer: rates loaded, parity managed, contracts negotiated. That's necessary but not sufficient. Real revenue management uses market data, demand signals, and pacing curves to drive rate decisions. Here's the operating model difference.
How we identified the FIFA World Cup window as a high-value pricing signal six months out
A walkthrough of the signals we used in the Miami portfolio, and how the same method applies to any major event. Working across a Miami aparthotel portfolio, we combined pacing data, channel signals, and market intelligence to flag the FIFA World Cup window as a high-value pricing event months before it was priced in. The same method applies to any major event in any market we operate.
Set and forget pricing tools are not revenue management
PriceLabs, Wheelhouse, Beyond, AirDNA Smart Rates: all powerful tools. But they don't manage themselves. We see operators who installed a pricing engine 18 months ago and never touched it. Here's what active management actually looks like, and why the gap between installed and operated is where most of the revenue lift lives.