Is Substack Recommendations really free?

**Yes, completely free.** It is a native feature of the Substack platform, not a paid product. The only 'cost' is that you are recommending other newsletters to your own readers, which means some of your audience's attention goes elsewhere. In practice this is a small trade-off because the reciprocal exposure you get back is worth more than the attention you give up.

How is a beehiiv Boost different from a newsletter sponsorship?

**Boosts are subscriber acquisition, sponsorships are content placement.** With a Boost, you pay a fixed amount per new subscriber who opts in through the beehiiv network, no content is written or placed anywhere. A sponsorship (see the sponsored-newsletters tactic) means paying another newsletter to write about or mention your product inside their regular send. Boosts are cheaper and more scalable, sponsorships usually convert better per reader but cost more upfront.

What if I don't have many subscribers yet, can I still do this?

**You can, but expect smaller swap opportunities.** Newsletters swap best with others in a similar size range, so under a few hundred subscribers, most established writers will not see a swap as worth their time. Start by recommending newsletters you genuinely like with no expectation of reciprocity, turn on Recommendations regardless, and use a small beehiiv Boost budget instead, since that does not depend on your current size.

Will this hurt my open rates if I get subscribers who did not really choose me?

**It can, if you don't manage it.** Recommendation-sourced subscribers did technically opt in with a click, but their intent is weaker than someone who found you directly. Segment them, welcome them properly, and clean out unengaged ones periodically (see Step 5). Done well, the impact on overall open rate is minor. Done carelessly, it can drag your average down and hurt deliverability.

Should I do Substack Recommendations or beehiiv Boosts if I can only pick one?

**Depends on your platform and budget.** If you already publish on Substack, turn on Recommendations first, it is free and the compounding effect from swaps costs nothing but a little outreach time. If you are on beehiiv or want faster, more predictable volume and are willing to spend, run a small Boost budget. Many operators eventually run both, cross-posting or maintaining a presence on each platform specifically to access both networks.

How long until recommendations become a meaningful growth channel?

**Usually 2-8 weeks for a first signal, 3-6 months to become a real growth engine.** Free Substack swaps compound as your recommendation list and reciprocal swaps grow, so the effect builds gradually. Paid beehiiv Boosts show results faster, often within days, because you are directly buying volume, but the free network effect is what makes this tactic scale exponentially over time without extra spend.

📧 Grow Your List

Newsletter Recommendation Networks

Substack Recommendations and beehiiv Boosts let readers subscribe to your newsletter in one click, straight from someone else's welcome screen. Set it up once and new subscribers keep arriving with zero ad spend and no extra content to write.

13 min read

Last updated: Jul 24, 2026

💬

"Recommendations are the single biggest lever we have. We didn't write a single extra word of content, we just asked five newsletters in our niche to recommend each other, and a third of our new subscribers now come from that list alone."

Newsletter operator, Substack Recommendations network

📅 Your First Month

Setup Warm-up Outreach

Week 1

Turn on Recommendations / Boosts and pick your first partners

⏱ ~2 hours

Week 2

Outreach to swap recommendations with 10-15 newsletters

⏱ ~3 hours

Week 3

Launch a small paid Boost budget and track quality

⏱ ~1 hour

Week 4

Review subscriber quality, prune weak swaps, double down on strong ones

⏱ ~1 hour

Ongoing

Monthly review and refresh of the recommendation list

⏱ ~30 min/month

Week 1

Turn on Recommendations / Boosts and pick your first partners

⏱ ~2 hours

Week 2

Outreach to swap recommendations with 10-15 newsletters

⏱ ~3 hours

Week 3

Launch a small paid Boost budget and track quality

⏱ ~1 hour

Week 4

Review subscriber quality, prune weak swaps, double down on strong ones

⏱ ~1 hour

Ongoing

Monthly review and refresh of the recommendation list

⏱ ~30 min/month

Is this for you?

Great fit if...

✓You already publish a newsletter on Substack or beehiiv (or are willing to move to one)
✓You want subscriber growth that keeps compounding without new content
✓You're comfortable recommending other publications to your own readers
✓You have at least a small, defined niche so recommendation swaps are relevant
✓You're willing to spend a small, capped budget to test paid Boosts on beehiiv

Try something else if...

You don't publish on Substack or beehiiv and have no plans to (recommendation networks are platform-native)
You have fewer than 100 subscribers and nothing to offer in a swap yet
You're chasing subscriber count only, with no plan to monetise or engage the list
Your content is extremely niche with no adjacent newsletters to swap with
You want instant results; recommendation networks take weeks to compound

Try email newsletters as your primary channel first →

Not the right fit?

If Newsletter Recommendation Networks doesn't match your situation, consider these alternative tactics that achieve similar goals:

Affiliate Programs

Create a commission-based program where partners earn for driving customers.

intermediate•medium•medium term

Micro-Influencer Partnerships

Partner with niche influencers who have highly engaged, targeted audiences.

intermediate•high•short term

What to expect

10-30%

Of new subscribers from recommendations, once set up

2-8 weeks

Time to see a steady, compounding trickle

$0-2

Typical cost per subscriber on paid Boosts

Quick math: Substack Recommendations are free and reciprocal, so the payoff builds slowly as your network of swaps grows. beehiiv Boosts are pay-per-subscriber, so results are faster but cost real money. Run both: free for compounding growth, paid for a predictable floor.

Recommendation networks work because they put your newsletter in front of an already-engaged reader at the exact moment they're deciding what else to subscribe to (the welcome or thank-you screen after they sign up for someone else's newsletter). There are two systems worth knowing, and they work very differently.

Substack Recommendations vs beehiiv Boosts

Both put you in front of new readers. The mechanics and cost are different:

Substack Recommendations: Free, reciprocal, Substack-only. You recommend other Substack newsletters, they recommend you back. New subscribers see a one-click "subscribe" list on the welcome screen after signing up.
beehiiv Boosts: Paid, pay-per-subscriber (CPA, you set the price you'll pay per new subscriber). Works across the entire beehiiv network, not just newsletters you know.
Both mechanics deliver opted-in, warm subscribers, not cold leads. They already read one newsletter, so they understand the format.
Neither mechanic requires you to write extra content, growth compounds on top of the newsletter you are already publishing.

Why this matters right now:

📈 Substack reported 32 million new subscribers came from in-app discovery in just three months📈 For newsletters under 10,000 subscribers, Recommendations is typically the single biggest growth engine

ℹ️ Which platform are you on?

This platform's own newsletter stack runs on beehiiv, so if you're building alongside it, lean into Boosts for predictable paid growth and consider the Substack ecosystem separately if you also publish there. The two are not mutually exclusive if you cross-post.

Conversation Flow

A writer declines your swap request

Stay gracious, audience fit is subjective and not every no is personal.

“No worries at all, totally understand. If anything changes down the line, the offer stands. Good luck with [Their Newsletter]!”

A reader complains about being recommended into your list

Apologise, explain the mechanic briefly, and make unsubscribing effortless.

“Sorry for the confusion, you likely opted in via a recommendation on another newsletter's welcome page. Totally fine to unsubscribe here if it's not useful, no hard feelings: [unsubscribe link].”

A partner asks to increase Boost volume mid-month

Only agree if quality data supports it, don't just chase volume.

“Happy to increase if the engagement holds up. Let's check open rates on the current cohort first, if they're healthy I'll raise the budget next week.”