How OTA promotions work with Pricepoint?

Understanding which OTA promotions align with Pricepoint’s dynamic pricing strategy.

Pricepoint’s AI-powered pricing system optimizes room rates in real time based on demand, booking trends, and market conditions. While some OTA promotions can complement Pricepoint’s recommendations, others—specifically rule-based promotions—can interfere with its ability to maximize revenue.

Below, we outline which promotions should be disabled and which can remain active.


Why Rule-Based Promotions Must Be Disabled

Rule-based promotions, like last-minute discounts or conditional percentage reductions, rely on static rules that conflict with Pricepoint’s dynamic pricing.

  • Conflicts with AI Recommendations: These discounts can lower prices even when Pricepoint recommends an increase, leading to missed revenue opportunities.
  • Stacking Discounts: When rule-based promotions overlap with Pricepoint’s adjustments (e.g., both applying a 10% discount), they can result in excessive price drops.
  • Inefficient Pricing: Unlike Pricepoint’s data-driven approach, rule-based promotions don’t adapt to real-time market conditions.

To ensure Pricepoint operates effectively, all rule-based promotions on OTAs must be disabled before enabling Pricepoint.


Discounts That Can Be Kept in Place

Some promotions complement Pricepoint’s pricing strategy and can remain active:

  • Genius-Like Discounts: Programs like Booking.com’s Genius or mobile-only discounts operate independently and align with a property’s visibility strategy without interfering with Pricepoint.
  • Flat Ongoing Discounts: Fixed-value discounts (e.g., 10%) used to create strike-through prices on OTAs improve visibility and do not conflict with Pricepoint’s recommendations.

These discounts enhance visibility without compromising Pricepoint’s ability to optimize pricing dynamically.


By disabling rule-based promotions and keeping only complementary ones, you ensure that Pricepoint delivers the best results, maximizing revenue and optimizing pricing efficiency.