14 A/B Tests to Optimize Referral Marketing Funnels
Learn how A/B testing can optimize referral marketing funnels with 14 key tests. Track metrics to boost customer acquisition and improve program visibility.
Justin Britten
A/B testing can boost customer acquisition by up to 4x within 6 months for SaaS companies and startups. Here are 14 tests to improve your referral marketing funnel:
- Compare different referral offers
- Try different CTA locations
- Compare landing page designs
- Test different referral messages
- Try different sign-up forms
- Test email subject lines
- Compare email content
- Test follow-up timing
- Compare social sharing options
- Test reward delivery methods
- Compare reward types
- Test post-referral follow-ups
- Test referral program visibility
- Compare user guides
Quick Comparison:
Funnel Stage | Key Tests | Metrics to Track |
---|---|---|
Start | Offers, CTAs, Landing pages | Awareness, Consideration |
Middle | Emails, Social sharing | Action |
End | Rewards, Follow-ups, Visibility | Conversion |
Focus on testing referral offers, messages, and program visibility. Track referral rate, conversion rate, and customer lifetime value to measure success.
What is a Referral Funnel?
A referral funnel is a tool businesses use to track how well their referral program works. It shows how customers move through the referral process, from learning about it to bringing in new customers.
The main stages of a referral funnel are:
- Awareness: Customers find out about the referral program
- Consideration: Customers think about joining the program
- Action: Customers make referrals
- Conversion: New customers join through referrals
To make a referral funnel better, it's important to keep track of key numbers at each stage. Here's a table showing what to measure:
Funnel Stage | What to Measure |
---|---|
Awareness | How many customers know about the program |
Consideration | How many customers want to refer others |
Action | How many referrals customers make |
Conversion | How many new customers join through referrals |
A/B Tests for the Start of the Funnel
Here are five key A/B tests to improve the beginning of your referral funnel:
1. Compare Different Referral Offers
Test various incentives:
Offer Type | Example |
---|---|
Percentage vs. Fixed | "50% off" vs. "$10 off" |
Double-sided vs. Single-sided | Both parties get rewards vs. Only referrer gets reward |
Tiered rewards | More referrals = Bigger rewards |
A jewelry company increased referral revenue by 700% by changing from "Give $10, Get $10" to "Give 50%, Get 50%".
Tip: For items under $100, use percentages. For items over $100, use fixed amounts.
2. Try Different CTA Locations
Test these spots for your referral call-to-action:
- Top menu
- Bottom of home page
- User account area
- After purchase confirmation
A good CTA spot can double program participation. Try pop-ups at key moments.
3. Compare Landing Page Designs
Test these landing page elements:
- Layout
- Headline and text length
- Customer reviews and stats
- Mobile-friendly design
Keep it simple and clear with an easy-to-spot CTA.
4. Test Different Referral Messages
Try various ways to promote your program:
Message Type | Example |
---|---|
Emotional | "Share the love" |
Rational | "Get 2 GB free storage" |
Referrer focus | "Earn rewards for sharing" |
Friend focus | "Help your friends save money" |
Test short vs. long messages and personalized content for different customer groups.
5. Try Different Sign-Up Forms
Test these sign-up options:
Sign-Up Element | Options to Test |
---|---|
Form fields | Few vs. Many |
Process | One step vs. Multiple steps |
Login method | Social media vs. Email only |
Referral codes | Auto-generated vs. User-created |
Find a balance between getting info and making sign-up easy. Simpler forms often get more users, but might lead to lower-quality referrals.
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A/B Tests for the Middle of the Funnel
Here are four key A/B tests to make the middle of your referral funnel better:
6. Test Email Subject Lines
Try different email subject lines to see which ones work best:
Type | Example |
---|---|
Personal | "John, here's your referral offer" |
Urgent | "24 hours left to refer and earn!" |
Curious | "See what your friends are missing" |
Benefit | "Earn $50 for each friend you refer" |
Check which ones get more opens and clicks.
7. Compare Email Content
Test these parts of your referral emails:
- Length (short vs. long)
- Look (pictures vs. text only)
- Personal touch (using names, past buys)
- Where to put the "click here" button
A home goods company got 61% more new customers by testing different discounts in their emails.
8. Test Follow-Up Timing
Try sending follow-up emails at different times:
1. Right after sign-up 2. 1 day later 3. 3 days later 4. 1 week later
Also, test how often to send reminders. Some people like more emails, others less.
9. Compare Social Sharing Options
Test these things for sharing on social media:
- Which platforms to use (Facebook, Twitter, etc.)
- Where to put sharing buttons
- Ready-made messages vs. letting users write their own
- Easy sharing on phones
Nail care company Olive & June found that customers liked using personal referral links (PURLs) more when they made them easier to see and use.
A/B Tests for the End of the Funnel
Here are five key A/B tests to improve the final stages of your referral funnel:
10. Test Reward Delivery Methods
Try different ways to give rewards:
Method | How it Works |
---|---|
Instant Credit | Give reward right after referral |
Delayed Credit | Give reward after waiting |
Tiered Rewards | More referrals = Bigger rewards |
Choice of Reward | Let users pick their reward |
See which method makes users happier and more likely to refer again.
11. Compare Reward Types
Test different rewards to see what users like:
Reward Type | Example |
---|---|
Cash | $10 back |
Percentage Discount | 20% off next purchase |
Fixed Discount | $15 off next order |
Product Upgrade | Free premium features for a month |
Exclusive Access | Early access to new products |
Get Back Necklaces saw 7x more referral money by changing from "$10 off" to "50% off".
12. Test Post-Referral Follow-Ups
Try these after someone makes a referral:
1. Thank-you messages with reminders to share more 2. Updates on their referral status 3. Celebrate milestones (e.g., "You've referred 5 friends!") 4. Extra rewards for more referrals
Test these to see which gets more people to keep referring.
13. Test Referral Program Visibility
See how making your referral program easier to find affects participation:
Where to Show It | How |
---|---|
In-App | Pop-up notices |
Dashboard | Add a referral section |
Emails | Link in email footer |
Account Menu | Add a "Refer" option |
After Purchase | Show referral info after buying |
ActiveCampaign puts all customers in their referral program and makes it easy to find in user accounts.
14. Compare User Guides
Test different ways to explain your referral program:
Guide Type | What It Is |
---|---|
Video | Short, fun explanation |
Picture Guide | Shows steps with images |
Written Steps | Clear instructions with screenshots |
In-App Tour | Guides users through referral features |
FAQ | Answers common questions |
Try these to see which helps users understand and use your referral program best.
Conclusion
A/B testing helps make referral marketing funnels work better. By trying different parts of your referral program, you can improve how well it works and get better results. Our studies show that A/B testing can help you get 4 times more new customers through referrals in 6 months.
Focus on testing these main areas:
Area to Test | Examples |
---|---|
Referral offers | Cash rewards, discounts |
Messages | Email subject lines, social media posts |
Program visibility | Where to show referral info on your website |
For example, a jewelry company made 7 times more money from referrals by changing from "$10 off" to "50% off".
Keep track of these important numbers to see how your tests are working:
Metric | What It Measures |
---|---|
Referral rate | How many customers make referrals |
Conversion rate | How many referrals become new customers |
Customer lifetime value | How much a customer spends over time |