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How to identify which OTAs are creating the most parity issues
How to identify which OTAs are creating the most parity issues
Andrew Williamson avatar
Written by Andrew Williamson
Updated over a week ago

For a video walkthrough, please view my loom video here: https://www.loom.com/share/4198e9ce31854231958884a02d74867e


The final important piece of analysis when building awareness of parity issues looking into how your parity issues are distributed across the different OTAs. Like the ‘Property parity breakdown’ above, this again provides you with data on parity distribution, undercut searches and average undercut but this time it’s looking at each OTA you’ve selected.

Similar to the 'Property parity breakdown', you can sort the data

Remember you can use the filters at the top of the page to switch between parity as seen on OTA websites, and parity on metasearch.

If you're looking at meta parity data, you'll most likely find a very large number of OTAs in the breakdown! You might be surprised with what you find. Again you can use the filters to remove OTAs you are not interested in if you want to keep things simple and focussed on specific OTAs.

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