Substack recommendations
Substack recommendations are a built-in feature that lets a writer publicly endorse other Substack publications, surfacing them to their own subscribers at signup and in-app so writers can grow each other's lists through mutual referral.
Mechanically, a writer picks publications to recommend, and those appear to their readers, most powerfully on the subscription confirmation screen where a new subscriber is prompted to also subscribe to the recommended ones. Because the prompt hits people at the exact moment they have decided you are worth reading, it converts far better than a cold link. Substack has said recommendations drive a meaningful share of new subscriptions across the platform, though the exact figure shifts over time, so treat any single number as directional.
The engine is reciprocity. Writers in adjacent niches recommend each other and both lists compound, which is why recommendations behave like a network effect: the more good publications endorse you, the more surface area you get. It rewards being genuinely useful to a specific audience rather than broadly popular, because a tightly relevant recommendation converts better than a famous but unrelated one.
The honest caution is that recommendations are not free growth. Recommending a weak or off-topic publication spends the trust your subscribers gave you, and it can flow back as churn if readers feel spammed. The writers who win here treat a recommendation like a personal endorsement, because to the reader that is exactly what it is.
Frequently asked questions
what are Substack recommendations
how do I get more Substack recommendations
do Substack recommendations actually work
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