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Pricinger

Pricinger provides a dynamic pricing and market intelligence platform for short-term rental hosts, automatically updating nightly rates based on local market demand, competitor activity, and booking data. The platform tracks competitor listings across major booking channels, detects competitor bookings, and offers transparent pricing recommendations with configurable guardrails, while its market insights feature is free to use.

Traction –/10
Athens, Greece · HQ
210+ followers
  • Hospitality & Travel Technology
  • Property Technology
  • Data & Analytics
  • Software Only
Updated 3 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Short-term rental hosts often price their listings by hand, relying on guesswork from scattered browser tabs and spreadsheets. This leads to stale rates that miss demand shifts, leaving money on the table when neighbors book out or local events spike demand.

Solution

Pricinger watches local rental markets and turns them into clear, data-backed nightly price suggestions. The platform connects to a host's listings, maps the local competitive set, and refreshes it daily with current rates, demand signals, and booking data. Prices are updated automatically each day based on market movements, while every suggestion is accompanied by the underlying data. Hosts stay in control with configurable guardrails, manual overrides, and transparent reasoning for each recommendation.

Target Audience

Primary customers are short-term rental hosts and property managers on platforms like Airbnb and Booking.com who want data-driven pricing and market intelligence without manual spreadsheet work.

Features

  • Dynamic pricing that updates nightly rates daily based on local market bookings and demand trends
  • Market insights with a market score, revenue, occupancy, ADR, and RevPAN trends for any market worldwide
  • Competitor sets tracking nightly rates across Booking.com, Airbnb, Vrbo, Expedia, and Agoda, including member-only and logged-in prices
  • Booking and earnings data for competitor listings, showing when they get booked and the revenue behind each night
  • Pricing guardrails with base, minimum, and maximum price limits, dynamic minimum-stay rules, and check-in/out day restrictions
  • Date-specific overrides and seasonal/day-of-week tuning for granular control
  • Daily sync pushing updated prices back to connected channels automatically
  • No black-box pricing: every suggestion includes the comp set, demand signals, and nearby bookings behind it
  • Free-to-use market insights with no setup or listing connection required
  • A recommended base and minimum price proposed from the host's own rates plus similar listings, recomputed weekly
  • Configurable pricing stance against the market (follow, below, or above) by percentage, adjustable for last-minute and far-out dates
  • Gap-night discounts and reduced minimum stays to fill stranded nights between bookings
  • Portfolio-wide calendar view showing prices, minimum stays, and reservations one year ahead for all listings
This profile is AI-generated and may contain inaccuracies.