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Growth tips #005

Welcome!
When you joined Growth Marketing Pros, we promised you one thing: Weekly, curated tips that (actually) help you grow. So here they are. 🚀
By the way, here's a link you can copy-paste to invite your colleagues to our Slack community:
Without further do, let's get started.
Get more upvotes on Product Hunt by embedding the Product Hunt badge
Source: Growth Bites
Product Hunt badges are a quick and easy way to level up your launch. Add a badge after posting to encourage more upvotes and get featured.
Adding the Product Hunt badge to your site right when you launch will make it easier for your audience to notice and upvote your post. As engagement climbs, it can also be used as a form of social proof because the badge displays your upvote count. And while this isn't confirmed, some people believe that just by embedding the badge, you have a higher chance of being featured in PH's Top 5. You'll get access to the badge as soon as you post on Product Hunt, and then if you're featured as a top post, you'll get access to "Featured" and "Top Post" badges. Head here for info on how to embed the badges.
What's trending?
Survey users to iterate toward product-market fit
Source: Demand Curve
Founders dream of product-market fit (PMF).
But most of the advice you’ll find online reads something like, “You’ll know it when it happens”—a lagging indicator. This doesn’t help you understand what PMF really is or how to get there.
Sean Ellis, who ran growth in the early days of Dropbox and coined the term “growth hacking,” found that a simple survey can help you quantify PMF. Use it as an actionable, leading indicator.
Ellis’s survey technique has been used by companies like Slack and Superhuman to reach—and accelerate—PMF.
Here’s how:
1. Survey users (ideally 100+) who have experienced the core product benefit.
Ask: “How would you feel if you could no longer use [product]?”
Group responses into three buckets:
Very disappointed
Somewhat disappointed
Not disappointed
2. Measure the percent who answer “very disappointed.”
If your “very disappointed” segment is at least 40% of the total sample size, that’s a strong sign that you’ve found PMF. That percentage is based on Ellis’s research benchmarking nearly 100 startups.
If your “very disappointed” bucket is under 40%, there are a few additional questions you can ask to iterate toward PMF. Check out Superhuman's in-depth post for the full framework.
Thank you for reading! ✌️
We look forward to sharing more with you next week. Stay tuned!
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