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Full report
Full report
Market intelligence
How much of your business depends on OTAs?
Score your channel mix, spot concentration risk, and unlock a WhatsApp plan to grow direct bookings — built for Indian hotels.
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Verification
Use it live
Run the free tool now
The interactive calculator runs on this page — adjust inputs and read results instantly.
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Answer first
What this tool does
This free OTA dependency checker — and channel mix analyzer — scores how much of your hotel depends on OTAs, flags single-channel concentration risk, and compares your mix to a healthy target.
What you get
Operator outcomes from this tool
- OTA dependency and channel-health score
- Single-channel concentration risk flags
- Healthy / moderate / high mix framing
- Optional diversification plan unlock
Method
Inputs, steps, and formula
What you enter in the live workspace — and how the result is computed.
What you enter
- MMT/Goibibo %
- Booking/Agoda %
- Other OTA %
- Direct %
Method steps
OTA share (%)
OTA share (%) = MakeMyTrip/Goibibo + Booking.com/Agoda + Other OTA. Example: 35 + 20 + 10 = 65%.
Health score
Channel mix health score = 100 − OTA share (%). Example: 100 − 65 = 35 (Moderate risk).
Worked example
Example: at MMT 35%, Booking 20%, other OTA 10% and direct 35%, total OTA share is 65% and the channel mix health score is 35 — moderate risk.
Worked example
See the math
A fixed scenario so you can follow every input to the result — then run your own numbers in the live tool.
Example channel mix
- MakeMyTrip / Goibibo35%
- Booking / Agoda20%
- Other OTA10%
- Direct35%
FAQ
Questions operators ask
Direct answers aligned with the live tool on this page.
05Answers
Clear guidance for operators and buying committees.
01Start hereWhat is OTA dependency, and how is it measured?
OTA dependency is the share of your bookings that come through online travel agencies rather than direct, walk-in, or other owned channels. This OTA dependency calculator measures it as OTA share (MakeMyTrip/Goibibo + Booking/Agoda + other OTA/TA) and converts that into a channel mix health score of 100 minus OTA percentage.
02What is a healthy OTA dependency ratio for a hotel?
Most industry guidance puts a healthy OTA share at under 40% of total bookings, with 40-60% considered workable but commission-exposed, and above 60% considered high dependency. Most independent hotels in India currently operate well above the healthy range, commonly between 50% and 80% OTA share.
03Why does single-OTA concentration matter more than total OTA share?
OTA concentration risk is when one platform dominates your mix. Diversified OTA share spreads commission and ranking risk; a single channel at 35%+ can still leave you exposed if that OTA changes commissions, visibility, or listing status — even when total OTA looks “manageable.”
04What's a realistic timeline to reduce OTA dependency?
Most hotels improve mix over months, not days — typically by fixing the website/WhatsApp booking path, protecting rate parity, and shifting repeat guests to direct. A practical plan is a 5–15 point direct-share gain over one to two seasons while keeping OTAs as a demand engine, not the only engine.
05Is this OTA dependency checker free, and how does the diversification plan work?
Yes. The OTA dependency checker here is free and needs no account for the live score. Optional email/WhatsApp unlock reveals full risk callouts and a channel diversification plan tailored to your mix.
Next step
Run the numbers — then deepen the stack
Use the free tool now, browse the full toolkit, or book a demo when you want confirm-gated agents on your property model.
Field notes
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