Tinder · B2C · swipe dating app
Sell a paid 'super like' that stands out from a normal like
Super Likes are 3x more likely to get a match
What they did
What happened
- Stage
- scale
In their words
How Tinder Captures More Value With Tiered Pricing and Consumables — Ravi Mehta
Ravi Mehta… time it was basically just Tinder plus Tinder Gold, and then Tinder Platinum came after looking and saying, actually, there are people that are spending a lot, how can we better meet their needs? And actually there was one of the interesting things behind Platinum was people would spend more if they could get more utility, we weren't hitting the limit of what they wanted to spend, they were hitting the limit of what Tinder could do for them.
Ravi MehtaAnd so coming up with a product that met their needs was important. And then for the Microtransactions it was largely about how can we create things that enable people to match more effectively? Boost is similar to the Boost on LinkedIn where your profile gets seen more by people in the ecosystem. Super like is the ability to send someone alike that's differentiated? And so when you send someone a super versus a regular, they're three times more likely to match with you. And then there were a bunch of other Microtransaction products that Tinder has tried along the way, some of which have stuck, some of which haven't. So it's a really organic, very experimental process. I think one of the interesting things about Tinder, I don't know if this is still the case, but it used to be that Tinder had more skews in the Apple app store than any other app because Tinder would test out 7 99, 8 0.9 9, 9 9 for Tinder, Tinder Plus, and then other price points for Tinder Gold and then other price points for boosts and then bundles of boosts and super likes.
Ravi MehtaAnd so there were literally hundreds and hundreds of different skews available because of all the testing and then all that testing would get multiplied by different locations. And so if you're in, the pricing is going to be different in the UK versus South America versus in the us. So it's all pretty experimental and organic. I think a really key thing that the company did well though is understanding the underlying user behavior of what are …
Ravi Mehta… to actually for them to get in and then get that habit loop built that works. If on the other hand, you need someone to be financially committed in order to really adopt your product. I think an interesting example here are gyms, right? You would never want to do a seven day free trial at a gym. Instead you want to charge people up front and now they have both a financial commitment and as well as a personal commitment to go and to use the gym.
Ravi Mehta… the first question to answer. And then once you've answered that, then you could figure out, okay, where do we start in terms of a subscription? What's the right price point for the first tier? And then for Microtransaction products, I think it's important to understand how does the value that someone get scale with their usage when they get a lot of value from their product, what are they doing more of in order to get that value? And then you can create Microtransaction products that really meet that need. And so the best a la carte or market transaction products do have that scaling effect of 10 is going to be 10 times better than one a hundred is going to be 10 times better than 10. As long as they're scaling linearly or about that, then people want to buy more of it as they're getting more value.
David BarnardBut then you also got to figure out what those users would actually be willing to pay those 10 times or more for. And that doesn't kind of break the game. If you're a scanner app and you limit it to 10 scans a month and then you pay a dollar per additional scan, I mean that's just not going to probably fly. So for certain kind of utility apps and other things, there's maybe not that kind of similar game theory approach where people would be …
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More from this episode
- Offer three subscription levels and sell extra boosts on topFormer CPO calls it one of the best ways to price consumer apps; no revenue split given
- Keep dating free for most users so there are plenty of people to match85-90% never pay; the 10-15% who do fund the business
- Interview users spending $100-250 a month, then build a top plan for themLed to Tinder Platinum; no results shared
- Test many prices for each plan and add-on, country by countryHundreds of price SKUs live at once; no test results shared
- Let people start swiping in two minutes using Facebook login and photosOnboarding cut from ~20 minutes to under 2; brought younger people into online dating
- Replace a 3-screen checkout with a 20-question intake before paymentConversion up (host says 40%); 99%+ of people answer each next question
- Sort hotels by each traveler's past behavior without calling it 'just for you'Unlabelled version converted better; labelling it 'just for you' dropped conversion
- Show ads to free users to cover their costSmall share of revenue; ads worth far less than a subscriber
- Start at $20-30 a month; if nobody pays, fix the product, not the price
- Give a short free trial that builds a daily habit, then chargeGuest converted without hesitation; a free-tier rival he uses daily never got paid
- Sell live classes, Zoom sessions and week-long intensives to your most engaged usersRevenue almost doubled; live offers now half of revenue
- Play rain sounds the moment the app opens, and in 15-second ads
- Set quarterly goals as a short why, 3-5 commitments, and a task listGuest says teams that adopted it found it works better than OKRs; no numbers
Tags: consumables, super-like, boost