How Airbnb measures listing lifetime value

Why do they publish blogposts on such a lame paywalled website though...

I would have liked more discussion on handling uncertainty; how big is it, how well calibrated is it, how are they approaching variance reduction, how do they reduce the predictive distribution into decisions, etc. And no discussion of causal inference in the marketing section.

I feel like this is missing a really important factor: how likely are guests to use airbnb again after staying at a listing?

A listing could look great online and receive a lot of bookings (so high LTV), but ultimately drive users away from the platform.

A certain ad platform I worked on cared a lot about this - offensive ads could get you to quit the site altogether. You might want to count every ad as positive for the company since you make money, but some might actually be negative expected value! As a side note, I think this is a really undermeasured problem. There are many sites I won't use because the ads are so overwhelming or are often offensive.

In the case of Airbnb, wouldn't that show up in the listing's reviews, requests for refunds, etc. and ultimately drive down the listing's LTV? Nobody leaves reviews on an ad, and I imagine that very few users report inappropriate ads, so you can only measure that indirectly. But if somebody books an Airbnb and has a bad experience, they are much more likely to give you direct feedback about it.

Mega-tangent: As a host, I feel compelled to rant about Airbnb whenever they come up in a discussion.

The last 2 years they have _really_ moved to squeeze the hosts. The customer service has been demolished and they seem to have taken a stance of "the guest is always right". I've spent countless hours going through their customer service as a super host, so I know I have a decent amount of anecdata.

My suspicion is that they found themselves with more supply than demand, so they are "improving the guest experience" at the expense of the hosts. Since they are a quasi-monopoly (depends on the market) it makes sense for them to prune supply in exchange for better guest experience, a full market approach makes less sense since they make money in proportion to the total amount of money transacted (which as a monopoly it can optimize for in the way a free market can't).

But I think this will blowback sooner or later. The biggest value for an Airbnb guest is the review system that allows you to have some degree of certainty of what you are getting. The biggest value for a host is the massive global audience. But guests and hosts, pay a steep fee (17%!) for this. For well-reviewed, long-living stays (like mine :)), paying 17% is way too much to access this audience: the listing already has an online record that provides that quality assurance for the guest, and the host could spend that money on advertising.

So that's what many of us are doing, moving to PMS + paid advertising / SEO to diversify on distribution channels. I think there's an opportunity for capturing that semi-pro host market and bundling them in a similar offering that 1) doesn't squeeze them, 2) offers a proper PMS software, and 3) charges a flat fee instead of a variable rate.