notitur.com September 17, 2026
OTAs1 min read

Cleartrip swaps loyalty perks for traveller data

JSBy Joan SanzCurated by Joan Sanz. · September 17, 2026 · Follow on LinkedIn
Voice reading · ~2 min

Cleartrip has unveiled Elite, its new loyalty program, and it is selling it with an argument that breaks from the script. According to Skift, the Indian OTA is not going to compete on free upgrades or complimentary nights. The stated goal is to reduce traveller anxiety, and that is achieved by understanding the context before the booking happens.

Translated into daily practice: fewer benefit showcases, more fine segmentation and more personalisation for the traveller with kids, the one squeezing tight connections or the one booking two days out. The perks are still there, but the real muscle sits in the data. For an OTA, a loyalty program that does not feed the recommendation and pricing engine is a cost dressed up as marketing.

My read: the move is sensible and timely. Traveller anxiety is a product problem, not a discount problem, and whoever solves it with data keeps the repeat booking. The risk, and I will say it plainly, is that the promise stays on the messaging layer. If Cleartrip does not turn that knowledge into visible decisions inside the app, the user will not notice and will go back to the usual comparison site.

Quick questions

What is Elite, Cleartrip's new loyalty program?
It is the Indian OTA's loyalty bet. According to Skift, it focuses on knowing the traveller better and reducing booking anxiety, rather than handing out big perks.
How is it different from other loyalty programs?
The core is not gifts or upgrades, it is data and personalisation. The benefit is built on traveller segmentation, not on a rewards catalogue.
Why talk about reducing traveller anxiety?
Because booking friction does not come from price, it comes from uncertainty. If the OTA understands the traveller's context, it can anticipate doubts and simplify the decision.
What does Cleartrip gain from this approach?
Better repeat rates and more margin per customer. A program that feeds the recommendation and pricing engine turns loyalty into a real revenue lever.
What is the risk of this kind of program?
That it stays on the messaging layer. If the traveller sees no concrete changes in the app, the knowledge does not translate into value and the program loses its point.

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