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Recommendations
Module 4 — Lesson 20
What Are Recommendations?
Recommendations are a way to organically grow your newsletter through the beehiiv network. Essentially, when people sign up for your newsletter you can recommend another relevant newsletter. If you trade recommendations, you’ll have a network of newsletters all recommending you.
It’s like passive income… except instead of cash you gain subscribers (which potentially leads to cash down the road).
Why Are Recommendations Awesome?
Recommendations can drive 100s of newsletter subscribers without you doing basically anything. Simply trade recommendations with another newsletter publication and watch the subscribers roll in.
💡 Pro Tip: Create a group of 4-5 newsletter creators in related niches and cross-promote each other with recommendations.
Here’s an example of Brian O’Connor and Jasper Polak cross-promoting each other.
Brian promoting Jasper:
Jasper promoting Brian:
That’s some bee-autiful teamwork! 🐝
Wait, wait, wait… before you move, I have one more bee pun for you:
👉 What do bees call wasps? … Wanna-bees. 🤣🤣🤣
So how do you set it up?
How to Add a Recommendation
1. Click on Grow
2. Click on Recommendations
3. Click on Add recommendation
Click this button to start adding a new recommendation to another publication
4. Search for the name of the publication
A pop-up modal will appear and here you'll search for the publication you want to recommend in your newsletter
5. Reason for recommending
Briefly share why you're recommending them once you've located the name of the publication
6. Click on Add recommendation
Click the Add recommendation button to save your selection
To add a New Recommendation in a Post
You’re also able to add a new Recommendation while creating a new post (like how Brian and Jasper did it).
Create a new post:
1. Click on +
Clicking on the + will open your list of available styles and blocks to choose from
2. Click on Recommendation
Choose the Recommendation block
3. Click on Add a recommendation
Once the Recommendation block appears in your post, you can click the Add a recommendation option to be taken back to the creation process above in a separate tab
4. Search for your new Recommendation
Once you've added your new Recommendation, you can search for it in your original tab and it will be available
How to Update Your Recommendations
The Recommendations page
Now that you've added a Recommendation to your publication, it will appear in your list of Recommendations where you can make changes
The Action Menu
For each recommended publication, you have an action menu to make changes.
Edit reason
You can edit the reason why you recommend this publication to potential subscribers
Make inactive
You can make a recommended publication inactive as well as reactivate it when you're ready to make it available to potential subscribers again
Remove
You can remove this publication from your list of recommendations permanently
Arrange Your Recommendations
You’re also able to arrange the order of appearance of your Recommendations to potential subscribers
Click on Arrange
Clicking the Arrange button will open a side panel pop to arrange the order
Click and drag your Recommendations
From here you can click and drag your list of Recommendations in your preferred order of appearance
Tracking Performance
While in your recommendations dashboard, you'll also be able to see all publications that are actively (and have previously) recommended your publication at any time, along with how many subscribers they sent your way.
We also have a special attribution for subscribers who signed up for your publication via recommendations. The acquisition source will show:
recommendation: website_of_referrer / referralrecommendation: blog.beehiiv.com / referral
This also makes it simple to track the performance and quality of these subscribers relative to your other acquisition sources, using our 3D Analytics feature and reports.
💡 Note: 3D Analytics is a premium feature only available to users on our Scale plan. To learn more about Scale and upgrade, click here.
A video tutorial to set up your Recommendations:
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