Tinybop-cover

Meet the product team that’s using data to shake up apps for kids

Remember the days when online gaming consisted of terrible design and graphics with heavily pixelated characters? Thankfully, technology has improved and those days are behind us.

Launched in 2012, Tinybop is part of a growing market of educational apps for kids. In an age where tech rules, they’ve adapted to the changing landscape to accommodate how children learn and play. Their slogan says it all: Toys for Tomorrow. Continue reading

Announcing Playbook

Introducing the Product Analytics Playbook

The beginning of an industry

Over the past few months, we’ve posted several excerpts on the blog from a big project we’ve been working on: a comprehensive playbook for using analytics data to improve user retention. Putting together the playbook has a been a huge undertaking from many people at Amplitude. I don’t think we knew what we were signing up for when we started. After thousands of hours of work, hundreds of analyses, and working with dozens of our customers, we’re excited to finally share it with you.

Today we’re releasing the Product Analytics Playbook, Volume 1: Mastering Retention. Volume 1 is a comprehensive approach to retention across all stages of the user lifecycle. It covers how to build retention into your product. It also covers how to leverage user behavior data to identify opportunities to improve your product. Understanding and improving retention is core to long term product success and the cornerstone of using product analytics to build better products.

get the playbook here

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exponential growth

What Exponential Growth Really Looks Like (And How to Hit It)

Exponential growth is one of the most powerful forces in nature. Here are three quick stories to prove it:

  1. In 1859, an English farmer named Thomas Austin brought 24 rabbits with him to his new home in Australia. As it turns out, they took quite well to the environment down under. Six years later, there were 22 million rabbits all across the continent.
  2. In 1945, a group of physicists split an atom in the New Mexico desert. When they did, two new atoms split. After that, four atoms split—and eight, and sixteen, and thirty-two, and so on, eventually producing the largest explosion then recorded.
  3. In 2004, a social network invented at Harvard was so popular that everyone who joined invited several of their friends. Not wanting to be alone, they all invited their friends too—and so on. Now there’s more than a billion people using it.

Facebook, the Manhattan Project, and Australia’s rabbit infestation were all driven by this one force. Alternately cute (rabbits!) and terrifying (the nuclear bomb), exponential growth can start from what seems like nothing to create huge explosions and worldwide phenomena.

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Amplifying Global Change

How Change.org uses Slack’s integration with Amplitude to understand global trends and increase data literacy

Today, we’re excited to announce Amplitude’s integration with Slack Enterprise Grid, enabling teams to communicate and collaborate better with data. Learn how the team at Change.org, the world’s platform for petition starters and supporters, is using Amplitude and Slack together to increase data visibility and make better business decisions.

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product analytics + customer

How Product Analytics Will Tell You Which Customers You Should Get Feedback From

Product managers are always getting told to talk to customers more. That’s simple enough to do when you’re first getting started, but gets harder and harder over time. As your customer base gets bigger and the number of things you have to do grows exponentially, picking the right set of customers to talk to becomes a challenge.

“It was easy in the beginning, because we knew most of the people using the tool as we worked on the initial version,” says HubSpot’s Dan Wolchonok.

“As we got bigger, my feelings usually boiled down to these four words: talk to customers more. I think a critical skill, however, is learning how to talk to the right customers.”

To figure out who to talk to, Dan Wolchonok used behavioral analytics to narrow down his customer base. Rather than get a random subset, or allow only the loudest customers to have their voices heard, Wolchonok sought out the exact customers he needed to solve his most pressing product issues.

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