Think your company is data driven? Probably. But how do you ensure your data is creating real value for your customers? In this eBook, you’ll learn how use your data to: 👩🏼💻 Empower your customers 🏆 Improve your product offering 📈 Drive enduring growth
About From Data-Driven to Data Everywhere on Product Hunt
“How to drive growth with user-facing analytics”
From Data-Driven to Data Everywhere launched on Product Hunt on February 11th, 2021 and earned 111 upvotes and 27 comments, earning #2 Product of the Day. Think your company is data driven? Probably. But how do you ensure your data is creating real value for your customers? In this eBook, you’ll learn how use your data to: 👩🏼💻 Empower your customers 🏆 Improve your product offering 📈 Drive enduring growth
From Data-Driven to Data Everywhere was featured in Design Tools (259.5k followers), Productivity (649.7k followers), User Experience (364.7k followers), Analytics (171.4k followers), Marketing (462.7k followers), Growth Hacking (149.3k followers), Product Hunt (69.3k followers), Tech (621.5k followers) and Growth Hacks (4.2k followers) on Product Hunt. Together, these topics include over 446k products, making this a competitive space to launch in.
Who hunted From Data-Driven to Data Everywhere?
From Data-Driven to Data Everywhere was hunted by Charles Miglietti. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how From Data-Driven to Data Everywhere stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Charles Miglietti