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Dopamine

Hack user engagement with Dopamine's Reinforcement API

Would you recommend Dopamine to a friend?
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Matt Mazzeo
Hunter
@mazzeo · Managing Director, Lowercase Capital
Love what the team at Dopamine is building. They've turned their PhD thesis in neuroscience and informatics into a simple API to help developers better understand how to engage and grow users.
Ramsay Brown
Maker
@ramsay_brown · CoFounder @ UseDopamine.com
@mazzeo Thanks Maz! We 💕 you too
stephentbiz@stephentbiz · ceo @ flipmass
This is dope.
Ramsay Brown
Maker
@ramsay_brown · CoFounder @ UseDopamine.com
@rghanem1 @stephentbiz You guys are this awesome: http://bit.ly/1PjWOXn. Let us know how we can help you use it!
Evan Zhou@evanczhou · Co-Founder, STEEZY
@stephentbiz -amine.
Ramsay Brown
Maker
@ramsay_brown · CoFounder @ UseDopamine.com
@evanczhou @stephentbiz (i see what you did thar)
Brandon Shin@bshins · Co-founder @ PolymailApp
Awesome API! It totally makes sense that variable reinforcement strategies can and will be optimized! Very very excited to check it out and see a ton of value in the service, in a lot of use cases (Education could be really cool)
Thomas Dalton Combs
Maker
@tdaltonc · coFounder @ UseDopamine.com
@bshins Education is a Dope application; we've seen it work. But I think an email app might be even Doper. *wink*
Ben Stein@ben_stein
Looks awesome. It would be very cool to see a demo
Thomas Dalton Combs
Maker
@tdaltonc · coFounder @ UseDopamine.com
@ben_stein We just finished the demo video. Hot off the presses:
Ian Mikutel@ianmikutel · Sr. PM Lead, Ink & AI, Microsoft OneNote
@tdaltonc @ramsay_brown Love this! Can you talk about differences in retention you've seen by getting timing right vs random timing vs no rewards at all?
Thomas Dalton Combs
Maker
@tdaltonc · coFounder @ UseDopamine.com
@ianmikutel @ramsay_brown Sure! We've run randomized control groups for all of our customers. Compared to a no-reward control, the optimized group has up to 60% higher retention. We don't run random-timing controls very often any more. They are not a good control for the way the newer versions of our algorithm runs. But back when we did, the optimized group has 25% higher retention than a dose-matched-random-timing group. And we're continually finding new ways to do even better. Thanks for asking!
Ian Mikutel@ianmikutel · Sr. PM Lead, Ink & AI, Microsoft OneNote
@tdaltonc Thanks! And can you share any data on testing of various rewards? For example, text vs emojis vs stickers vs other stuff?
Thomas Dalton Combs
Maker
@tdaltonc · coFounder @ UseDopamine.com
@ianmikutel The short answer is: not much difference. Skinner pointed out that, "The way positive reinforcement is carried out is more important than the amount." And by-and-large that's what we've found. Above some minimum level, all rewards work equally well. We have found that some rewards work better among different user groups, but nothing systematic. And we've also never worked with a developer that was interested in running radically different rewards, so we've never gotten to test emojis vs stickers (for example) in a single app. We have found that when a developer provides multiple different rewards for a single action, you can do interesting things in the patterns between them (but we're keeping the details on that close to our chest.)
Alexi Roy@_alexiroy · Serial Entrepreneur > AlexiRoy.com
@tdaltonc @ben_stein You should add that video on your homepage ;)
Ramsay Brown
Maker
@ramsay_brown · CoFounder @ UseDopamine.com
@_alexiroy @tdaltonc @ben_stein We just pushed it ;)
Ben Stein@ben_stein
@tdaltonc wow, very cool!
Paolo Perazzo@sivola · Building products, now Kyber for Slack
@tdaltonc I've been very passionate about these studies so curious to know more details in terms of results. By 60% or 25% higher means that an app with 10% retention, will now have 16% or 12.5% retention? The base retention might also be important. One thing is gaining 6% over 10%, another might be going from 20% to 32%. Are those gains consistent across the spectrum? Finally, what kind of retention are we talking about? Day 7, day 30, week 1, month 1? Is retention maintained or the "dopamine" last few cycles only? Congrats on the launch!
Ramsay Brown
Maker
@ramsay_brown · CoFounder @ UseDopamine.com
@ben_stein Thanks dude! Let us know how we can help you make the most of it! reach out to us at ramsay@usedopamine.com
Thomas Dalton Combs
Maker
@tdaltonc · coFounder @ UseDopamine.com
@sivola Great questions! > 60% or 25% higher means that an app with 10% retention, will now have 16% or 12.5% retention Yes > The base retention might also be important. It is. If the base-rate is below about 2% we've had a tough time getting much traction. If it's above ~30% (happens in apps with a high cost) it also becomes hard to put up big numbers. The '25% increase' from above came from one of those high base-rate apps. > What kind of retention are we talking about? Those stats are for 28 days. That's how we define "month" at Dopamine Labs. Long live the IFC! https://en.wikipedia.org/wiki/In... > Is retention maintained Yes. Sometimes the effect peaks and then reduces a bit on the 4-5mo timeline, but we've never seen it vanish with time. Removing reinforcement from a group of users that have been using for a couple months reduces the retention rate in that group. That shows that the reinforcement effects continue beyond the first couple months. Thanks for the questions! And let me know if you have any more.
Harry Stebbings@harrystebbings · Podcast Host @ The Twenty Minute VC
Cracking hunt here @mazzeo love what they are doing here for des helping to user base!