InslyStayMost guest houses use one flat rate all year. It's simple, but it's expensive. In peak season you undersell; in off-peak you sit empty. Dynamic pricing doesn't need a data science team — it needs a few rules, applied consistently.
Start with three seasons
Group your year into three bands: peak, shoulder, off-peak. For KwaZulu-Natal that's often Dec-Jan peak, Feb-Apr + Sep-Nov shoulder, May-Aug off-peak. The Western Cape flips: Nov-Mar peak, rest shoulder, Jun-Aug off-peak. Set a base rate and then a +20% peak modifier and a −15% off-peak modifier.
Layer weekend and demand
On top of seasons, add a weekend uplift (+10% Fri-Sat). During known events — marathons, conferences, long weekends — push another +15%. When occupancy for a date is already above 70%, push another +5-10%. These are not magic numbers — they're starting points you adjust based on your own booking data.
Use occupancy floors
Set an "if occupancy is below 40% one week out, drop 10%" rule. This protects you from empty nights without slashing prices to everyone. Pair it with a minimum rate — you never go below the lowest number that still covers your costs with a margin.
Test and review
Every month, compare this month's RevPAR (revenue per available room) to the same month last year. If it's up, keep going. If it's down, check whether a specific segment dropped — weekends? corporate midweek? — and adjust. Pricing is a loop, not a set-and-forget.
Where InslyStay fits
You can run this playbook manually, or let InslyStay's Dynamic Pricing apply your rules automatically across all channels. Either way, the discipline of having rules is worth more than any software — the software just stops the rules being ignored.
Written by InslyStay Team