Track hotel rates and OTA price parity across Booking.com, Expedia, Agoda, and other travel platforms. Monitor pricing, availability, discounts, and rate inconsistencies to optimize revenue and maintain distribution parity.
Who they are: A hotel chain, revenue-management team, or OTA that needs an accurate, continuous view of room rates and availability across booking channels.
What success looks like: A daily, comprehensive view of where their rates appear, at what price, across every channel — with alerts the moment parity is broken.
The client operates multiple properties and sells across several OTAs plus its own site. Identifying details are withheld; figures are illustrative.
Rate parity — the same room priced consistently across channels — is central to protecting direct-booking margin. But OTAs and third parties were undercutting the client's direct rate on certain dates, and the revenue team only found out sporadically, through manual spot-checks. Across many properties, room types, and future dates, manual rate-shopping simply couldn't scale.
Actowiz built a rate-and-parity monitoring pipeline:
Illustrative sample data — not real properties or rates.
| Channel | Room type | Rate | Parity vs direct | Flag |
|---|---|---|---|---|
| Direct site | Deluxe | ₹7,500 | —baseline | |
| OTA A | Deluxe | ₹7,500 | 0% | ✔ in parity |
| OTA B | Deluxe | ₹7,050 | −6% | breach |
| OTA C | Deluxe | Sold out | — | no availability |
| Property | Dates checked | Breaches found | Worst gap |
|---|---|---|---|
| Property 1 | 30 | 4 | −8% |
| Property 2 | 30 | 1 | −3% |
| Metric | Before | After |
|---|---|---|
| Rate-shopping coverage | A few dates/channels | All channels, 30-day forward |
| Parity-breach detection | Sporadic, manual | Flagged daily |
| Response time | Days | Same morning |
| Direct-rate protection | Reactive | Proactive |
Key outcomes: comprehensive daily rate visibility, same-morning parity-breach alerts, and a revenue team able to protect direct-booking margin instead of discovering breaches by accident.
Continuously checking room rates across OTAs and direct channels to detect when any channel prices below the brand's own rate.
Across a forward date window (e.g., 30 days) per property and room type, not just today.
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