SparkLoop

Name: SparkLoop
Rating: 1.0 (2 reviews)

The first referral tool for newsletters

1.0•2 reviews•

331 followers

The first referral tool for newsletters

1.0•2 reviews•

331 followers

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Email marketing

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Lead generation software

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Newsletter platforms

Smart newsletter and course creators use a SparkLoop referral program to get more, high-quality email subscribers on autopilot. Exactly like how Morning Brew and The Hustle grew to millions of subscribers.

This is the 6th launch from SparkLoop. View more

Newsletter Radar by SparkLoop

Match with relevant newsletters & grow faster together, free

The easiest way to discover thousands of relevant newsletters your audience already loves. Match with top newsletters in your space... and recommend each other to grow faster together. We've already driven 10m+ engaged new readers to 10k+ newsletters!

Free

Launch tags:

Email•Newsletters•Marketing

Launch Team / Built With

Louis Nicholls

SparkLoop

Maker

📌

Hey Product Hunters! Louis, cofounder of SparkLoop here 👋 Two years ago we launched Upscribe — the first newsletter recommendations network. And it has grown to become hands-down the easiest way to grow your newsletter for free. We've helped top newsletters like Morning Brew, James Clear, The Hustle and thousands more add over 10 MILLION (!) high quality, engaged new subscribers. But — if your newsletter's not quite as big and popular as Morning Brew or The Hustle (yet) — it can be super hard to find the right newsletters to partner up with. That's why we're launching Newsletter Radar today. In just a few clicks, you can: 1. See a list of all your audience's favorite newsletters (ranked by how many subscribers you have in common) 2. Discover thousands more newsletters that our algorithm thinks are relevant to your audience 3. And invite the ones you like best to partner up with you on free recommendations The result: In less than 15 minutes, ANY newsletter should be able to find at least 5-10 (but really more like 50+) perfect newsletter partners, and start growing 3-10x faster by recommending each other. One of my favorite things about Newsletter Radar (and Upscribe) is that it works with 25+ newsletter platforms (including beehiiv and ConvertKit). So you can discover 100% of the very best newsletters you should be partnering up with... not just the 0.5% who happen to use the same newsletter platform you do! Happy to answer any questions 🥳

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11mo ago

Louis Nicholls

SparkLoop

Maker

@owenfar Great idea 😉 I wouldn't be surprised to see a feature like that in the very near future!

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11mo ago

Hrishi Mittal

Learnetto

@louisnicholls_ looks cool. Signed up!

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11mo ago

Pradhumn Vijayvargiya

Stella AI

@louisnicholls_ As a user does it also help manage current NL subscriptions? Would be lovely to see. All the best for the launch.

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11mo ago

Joseph Abraham

SaaS for Greater Good

@louisnicholls_ Cheers to the team behind this! Wishing you all thebest on this new adventure. What are you most excite about with this launch?

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11mo ago

Louis Nicholls

SparkLoop

Maker

@kjosephabraham tysm! I'm most excited to see people sharing their matches. So many people saying "wow, I didn't realise my newsletter had so much in common with newsletter X..."

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11mo ago

pierre

Hey @louisnicholls_! Newsletter Radar sounds incredibly useful for those of us trying to grow our subscriber base. Can you share more specifics about how the algorithm identifies relevant newsletters for partnerships? Also, are there any particular metrics or data points that it prioritizes to ensure a good match?

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11mo ago

Louis Nicholls

SparkLoop

Maker

@pierre_peng sure thing! So one of the biggest predictors is audience overlap: How many subscribers do you share in common with another newsletter? From there, we look at a lot of other factors like audience demographics and the topics you cover in your newsletter. As part of the onboarding, you actually tell us which of those demographics/topics is most likely to indicate someone is a good potential reader — and we customize the results based on your preferences. We keep updating the algorithm based on feedback and performance. I'm really excited to see how AI can help us in the near future.

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11mo ago