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PMAlerts progress (Jan 18): 1,159 users, 855 registered, 232 retained, $100MRR, 5 paying, and a partridge in a pear tree 🎵

This past week was a big one for me - I hit $100MRR for the first time in my life!

KPI snapshot:

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What's working:

  • Consulting: I hit my previous week's MRR goal ($100) on the nose, mostly because I took an interest in my customers' needs and tried to come up with some creative alerts for them. This was inspired by PG's "Consult" strategy in his "Do things that don't scale" essay.
  • KPI-driven dev: There are so many things that I want to improve about PMAlerts, but I need a way to decide what I'm going to work on. I decided to focus on improving LinkedIn and Reddit listeners this week to drive up engagement, and it seems to have worked (weekly clicks up 23% despite registrations going up only 2%).
  • Recruiting users: Another strategy out of PG's essay. I've been using PMAlerts to find people who I think might find PMAlerts useful. When I find someone, I set their account up for them with preconfigured alerts and give them the registration info. It's super time-consuming, and my sample size is low, but it feels good.

What's not:

  • Target demographics: I still don't know how to most efficiently convert my time into revenue growth. My sample sizes are still pretty small across most activities, so I'm still not sure who I should be laser-focused on. I'm still shotgunning a bit.
  • Energy utilization: I didn't have the time/energy to do outreach this week, so I missed my targets of talking to 100 existing / 100 prospective users (by 95/95 respectively 😂).

Goals:

  • 5 cold calls to agencies
  • 100 cold conversations on Twitter
  • 20 cold conversations on LinkedIn
  • 100 warm conversations with existing users who I haven't connected with yet
  • $150MRR by EOW

For you:

If you're curious about social media monitoring, feel free to leave a comment or shoot me an email ([email protected]) with a link to your hustle. I'll try to come up with some alerts that could help you find people who are talking about the problem that you're solving.

It'll basically be an application of the principles outlined in Nets and Spears - we'll experiment with very precise terms that reveal hyper-relevant conversations across various social channels.

Thanks for reading! Happy to answer any Qs you may have.

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