It's about a month ago since I started working full time on my personal relationship management chatbot 🤖

While my technical founder is doing all the hard work, I figured I could do my part and get us a lot of high-quality beta users. In this article, I'll explain how I used Product Hunt, PhantomBuster & Twitter to achieve my goal of creating an ongoing stream of interested users to our Upcoming Product Hunt page.

1. Find qualified users

The first step for me was to find such high-quality users. The niche I'm looking into are tech people, between 18-35, that are looking for a lightweight CRM that doesn't need manual data input and that will help them to stay in touch with their friends and network through reminders.

Luckily for me, I'm not the first one trying to build this and I found about 20 similar products that had launched on Product Hunt. Of course, none of these products solved my problem, but it was clear that people who were interested in one of those products, would be interested in mine.

A few examples of similar products on PH (Product Hunt)

2. Export users in a meaningful way

That's where PhantomBuster comes into play. Thanks to their API, I was able to scrape every single PH user profile who had upvoted a similar product to mine. Most of the users on PH link their profile to their Twitter account, that's the key part of my growth hacking strategy 🤩Altogether, I scraped about 11k profiles.

PhantomBuster scrapping data...

3. Reach out to users in a constructive and non-spammy way.

3.1 Automatically like their latest tweets

This is a simple and light way of getting someone's attention and there are tons of tools that allow you to do so. My automation simply runs in the background and likes about 300 profiles per day. Since I've started this automation, the average volume of daily visits to my twitter profile has increased by 500% and the average amount of new daily followers, by 50%!

Since my Twitter profile contains a description of my product and a direct link to my sign-up page, this has significantly increased the number of sign-ups I've received. I'll let you guess when I started this automation 👇 Product Hunt waiting list graph

3.2 Personally reach out to key beta users

After playing around with the CSV file and creating a few pivot tables, I was able to find a few key beta users based on the number of PH followers they had and the number of similar products they had upvoted. I then reached out personally to those.

3.3 Send out promoted tweets to all users

Twitter allows you to create custom audiences based on CSV files that contain twitter usernames. You can then target those with ads. Polls to get to know your users better, call to actions, articles and so on are a great way to create engagement with your early users and drive more people to your sign-up page.

Example of twitter polls and call to actions

That's it! You've just built a lasting way to find great beta users! 🏆

How I growth hacked my way to +500 waiting list subscribers 📈

Comments (4)

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1. Find qualified users

2. Export users in a meaningful way

3. Reach out to users in a constructive and non-spammy way.

3.1 Automatically like their latest tweets

3.2 Personally reach out to key beta users

3.3 Send out promoted tweets to all users

Command Palette

Comments (4)

More from this blog

1. Find qualified users

2. Export users in a meaningful way

3. Reach out to users in a constructive and non-spammy way.

3.1 Automatically like their latest tweets

3.2 Personally reach out to key beta users

3.3 Send out promoted tweets to all users