+71% Referral Activation: How Gogobot Boosted Signups With One Smart Personalization Tweak

Referrals are one of the most powerful growth levers — but they often underperform because they feel cold, generic, or disconnected.

The travel planning app Gogobot (now part of Trip.com) discovered that even a small shift in how you welcome new users can create massive impact on conversion rates.

By personalizing the referral experience, they increased referral sign-up rates by 71%.

Let’s break down what they did and how you can apply this exact tactic.

🧠 The Problem with Standard Referral Invites

Most apps handle referrals like this:

  1. User A sends an invite to User B.
  2. User B clicks a generic download link.
  3. If they install the app, they land in a basic onboarding flow with no context or personal connection.

Even though User B came via a friend, the onboarding experience feels like a cold start. There’s no warmth, no familiarity — and often, no motivation to continue.

💡 The Insight: Make Referrals Feel Personal and Human

Instead of sticking with a one-size-fits-all invite flow, Gogobot partnered with Branch, a mobile deep-linking platform, to personalize every referral.

Here’s what they did:

Step 1: Custom Referral Links With Embedded Metadata

Every referral link generated by a user was powered by Branch, and included:

  • The referrer’s name
  • Their profile picture
  • Their unique user ID

These details were embedded in the link itself.

Step 2: Deep Link Personalization on App Launch

When a new user clicked that link and downloaded the app, Branch passed the embedded metadata into the first app session.

Gogobot used this to display a personalized welcome screen:

👋 “Hi! Alex (with their profile pic) invited you to check out Gogobot. Ready to join them?”

This made the referral feel like it was coming directly from a friend, not just a random link.

📈 The Result: +71% Increase in Referral Signups

This simple addition — showing the inviter’s name and photo during onboarding — had a dramatic effect.

✅ Users who saw the personalized welcome message converted at a 71% higher rate than those who didn’t.

That’s almost double the referral efficiency — without changing the core product or running any new ads.

🎯 Why This Works

  • Social Proof: Seeing a known friend adds trust instantly.
  • Familiarity: People are more likely to engage when it feels like a real social connection.
  • Reduced Friction: The personal touch lowers resistance and increases emotional connection.
  • Motivation: Users feel like they’re joining with someone, not just trying something new alone.

✅ How You Can Apply This Today

  1. Use dynamic referral links that pass metadata (tools like Branch, Firebase, or custom link shorteners can help).
  2. Embed inviter info into onboarding — name, avatar, and message.
  3. Display a custom welcome screen for new users based on the referral data.
  4. Test and measure your activation rates pre- and post-personalization.

Even a small tweak in onboarding flow can unlock major gains — especially in referral-driven growth loops.

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