Pricinger turns live market and competitor data into optimized nightly rates for short-term rentals, syncs them across booking channels, and helps hosts make better pricing decisions.
Pricinger is an AI-powered dynamic pricing and market intelligence platform for short-term rental owners and property managers. It collects rates, availability and demand signals from major OTAs every day. Market Insights and Competitor Sets reveal market trends and each property’s true competitors.
Using the same data, Pricinger’s pricing algorithm calculates an optimized rate for every night, with flexible rules that adapt by season and day of the week. Through a PMS connection, rates update automatically across all booking channels. Pricinger saves users time and helps them increase revenue while keeping control of their pricing strategy.
Most short-term rental owners end up doing one of two things. Some set their prices at the beginning of the season and barely touch them again. When demand rises, they charge less than they could; during quieter periods, they risk missing bookings because their rates remain too high. Others revisit their prices whenever they find the time: they open applications/platforms for short-term rentals, compare nearby properties, and manually update their channels.
Meanwhile, market conditions change every day. A booking nearby, a sudden increase in demand, or a weekend that starts filling up can change the picture within hours. Once a competing property is booked, the rate listed for that night disappears, taking with it a valuable signal of what guests were willing to pay.
Whether hosts leave prices unchanged or make occasional manual adjustments, they remain at a disadvantage against professional operators using specialized pricing software.
Pricinger helps short-term rental owners and managers achieve two things: automate pricing and increase revenue. Every day, it collects rates, availability and demand signals from major OTAs.
Through Market Insights and Competitor Sets, users can see how their market is moving, understand shifts in demand and identify each property’s true competitors. The dynamic pricing algorithm uses the same data to calculate an optimized rate for every night. As conditions change, rates adjust and, through the PMS connection, update automatically across all booking channels.
Users remain in control through flexible pricing rules that can vary by season and day of the week. This removes the need to repeatedly compare listings, maintain spreadsheets or make manual updates, while helping hosts avoid both missed revenue opportunities and vacant nights.
