
A visual discovery app where people browse and save images and ideas.
Pinterest grew by showing value before asking for commitment. Letting visitors scroll three pages before the signup prompt lifted signups 15-20% in an A/B test. When Facebook closed its open graph and cheap signups dried up, it built SEO and rebuilt signup, onboarding and notifications around personal recommendations, reaching over 100 million active users. Lesson: let people experience the product first, and don't depend on one borrowed channel.
Signups rose 15-20%
From Pinterest A/B test, via Casey Winters
Letting visitors scroll three pages before the signup prompt raised signups. Pinterest A/B tested letting new users scroll through about three pages of content before asking them to sign up. Signups rose 15-20%.
The aim was to show value first, cut bounce rates and capture interest before the ask. It suits products where browsing content is itself the value. The 15-20% lift can serve as a rough benchmark when testing a delayed signup wall against an immediate prompt.

Pinterest replaced lost Facebook signups by building SEO as a growth channel. When Facebook shut off the open graph, Pinterest lost a source of cheap signups. Casey Winters responded by building SEO.
Signup, onboarding and notifications were rebuilt around the new search traffic. Notifications moved from showing what friends save to giving personal recommendations. The product went on to have over 100 million active users.
Pinterest A/B tested letting users scroll through three pages of content before the signup prompt, which raised signups by 15-20%. The aim was to show value first, cut bounce rates and capture interest before the ask.
Letting visitors scroll three pages before the signup prompt raised signups. Pinterest A/B tested letting new users scroll through about three pages of content before asking them to sign up. Signups rose 15-20%.
The aim was to show value first, cut bounce rates and capture interest before the ask. It suits products where browsing content is itself the value. The 15-20% lift can serve as a rough benchmark when testing a delayed signup wall against an immediate prompt.

Pinners and repinners came back the next week with over 90% probability, so weekly active pinners became the North Star. Its picked-for-you feed may have been the first algorithmic feed in a social product, and each pin improved recommendations for everyone.
Pinterest replaced lost Facebook signups by building SEO as a growth channel. When Facebook shut off the open graph, Pinterest lost a source of cheap signups. Casey Winters responded by building SEO.
Signup, onboarding and notifications were rebuilt around the new search traffic. Notifications moved from showing what friends save to giving personal recommendations. The product went on to have over 100 million active users.
When Facebook shut off the open graph, Pinterest lost cheap signups, so Winters built SEO and rebuilt signup, onboarding and notifications around it. Notifications moved from what friends save to personal recommendations, and the product had over 100 million active users.
Its inspiration model was the comparison for OpenArt's early prompt-sharing site. It also scaled SEO with templated pages.
onX borrowed its experiment idea review process, and Pinterest ran millions of copy iterations across languages using a copy tuning tool.
It began as immediate bookmarking utility, with discovery only a hope. Around 2011 designers loaded each pin's dominant color before the image, and users said the site felt much faster with no backend change.
Ben Silbermann is quoted saying founders don't know what minimum is or what viable is, which makes the MVP hard to define.
Its user-created pages fit the large-page SEO bucket. It has produced strong growth people because of its high traffic and experiment culture, and Luc advised it.
Built on collecting interests rather than chasing likes. It sent heavy traffic to each pin's source, so sites added pin buttons themselves. Belsky was Ben Silbermann's first seed angel and a product advisor.
Saving a pin signals its quality and your tastes, a data network effect that improves recommendations. Casey brought in heads of growth from Dropbox and Facebook to persuade colleagues there.
An ad network many app marketers ignore, which Steve finds strong for health and wellness. He discovered a few apps himself through it.
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