Airbridge

Airbridge Airbridge offers every tool marketers need to measure, optimize, and scale app growth across platforms — all with the best price-to-performance.
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Define your fastest route to growth through actionable insights and customized strategies.

80% of subscription purchases happen on the very first paywall— is yours optimized to convert? 🚀Stop wasting engineering...
05/07/2026

80% of subscription purchases happen on the very first paywall— is yours optimized to convert? 🚀

Stop wasting engineering hours hard-coding designs and waiting weeks for App Store approvals. If you can’t A/B test your pricing or CTAs in real-time, you're leaving revenue on the table.

Here are the top 3 no-code solutions to scale your MRR:

- Adapty: Best for deep analytics and ML-powered LTV predictions.
- Purchasely: Best for beautiful, native templates across mobile, tablet, and TV.
- Superwall: Best for rapid-fire A/B testing with a unique conversion-based pricing model.

Stop coding and start growing. Check out our full breakdown of these tools and how to choose the right one for your app: https://abr.ge/nerrhi

44 hours.That is the average time MarTech takes to deliver first value.For a UA team, that is not “onboarding.” That is ...
05/07/2026

44 hours.
That is the average time MarTech takes to deliver first value.

For a UA team, that is not “onboarding.” That is 44 hours of spend without attribution.

No channel-level truth.
No clean read on what is converting.
No answer when someone asks, “So where should we put more budget?”

That is why now we see a strong point: in the early stage, TTV matters more than LTV. Because a sophisticated model is useless if it shows up after the first campaign cycle is already gone. MarTech’s average time to value is 44 hours, the second-longest in SaaS, and MMP delays often go beyond the SDK itself into contracts, event design, and feature overload.

👉 Read the full blog to see why slow MMP onboarding is not just annoying, but expensive, and what actually drives that delay: https://abr.ge/27vu5kg

📌 Turn Inspiration into Action: Airbridge x Pinterest Ads Integration is Here!Pinterest is more than just a social platf...
05/06/2026

📌 Turn Inspiration into Action: Airbridge x Pinterest Ads Integration is Here!

Pinterest is more than just a social platform — it’s a visual discovery engine where users go with intent. Whether they are planning a home makeover or discovering a new style, they are ready to act.

We are thrilled to announce that Airbridge now fully integrates with Pinterest, allowing marketers to bridge the gap between creative inspiration and final conversion across both mobile and web.

🚀 What does this mean for you?
You can now measure the full impact of your Pinterest campaigns directly within the Airbridge dashboard. From Standard and Video Ads to Shopping and Premiere Spotlight formats, you’ll get a crystal-clear view of your ROI.

💡 Key Benefits:
- Full-Funnel Tracking: Monitor everything from first impressions to completed purchases, sign-ups, and wishlist additions.
- Cross-Platform Attribution: Seamlessly track user journeys as they move from Pinterest to your app or website.
- Granular Performance Data: Identify exactly which creatives are driving growth using privacy-safe, multi-device attribution.
- Custom Event Mapping: Tailor your tracking to the specific actions that matter most to your business.

🔥 Ready to scale your Pinterest performance? Check out our latest blog for the step-by-step setup guide or reach out to your Airbridge account manager to activate the integration today: https://abr.ge/hyp87r

They didn't increase their TikTok budget.They doubled their monetization. 💰Wasabi is a fast-growing mobile app that was ...
05/06/2026

They didn't increase their TikTok budget.
They doubled their monetization. 💰

Wasabi is a fast-growing mobile app that was scaling aggressively on TikTok — one of the most competitive UA channels out there. The clicks were there. But converting that traffic into real revenue? That was the gap.

With Airbridge, Wasabi gained creative-level visibility into their TikTok funnel — seeing exactly which ads drove users all the way from click to subscription, not just to install. By mapping the full user journey and identifying where drop-offs happened, they could stop guessing and start optimizing with precision.

The result? 2x monetization. Not from doubling the budget — from finally understanding what was working.

📖 If you're running paid UA on TikTok and you're tired of optimizing for installs while praying for revenue, this one's for you.

👇 Read the full case study — link in comments.

🚀 How Liner Scaled App Installs by 350% Using Data-Driven Influencer MarketingWhat happens when a top-ranked GenAI app m...
04/23/2026

🚀 How Liner Scaled App Installs by 350% Using Data-Driven Influencer Marketing

What happens when a top-ranked GenAI app moves from desktop to mobile? They face the ultimate attribution challenge.

Liner (ranked #4 on a16z’s Top 100 GenAI Apps) was scaling influencer partnerships across LinkedIn and X to reach researchers and academics. But they hit a wall: How do you track a user’s journey from a creator’s post to a paid subscription?

By partnering with Airbridge, Liner team turned "organic-looking" traffic into actionable growth data.

📈 The Results:
+350% Increase in App Installs.
+155% Lift in Subscription Conversions.
+ Full-Funnel Visibility: Tracking every step from the first click to the "Aha!" moment.

💡"The more data we had, the sharper our decisions got." — Nicolas Park, Marketing Lead at Liner.

Read the full story here: https://abr.ge/lm00t6n

Big news 🚀 Airbridge is making waves on G2.We’ve been recognized with top badges like "High Performer" and "Best Meets R...
04/16/2026

Big news 🚀 Airbridge is making waves on G2.

We’ve been recognized with top badges like "High Performer" and "Best Meets Requirements", and it’s all thanks to our users.

Your reviews don’t just support us. They shape the product, push us forward, and keep us building what actually matters.

Huge thank you to everyone who shared their experience with Airbridge 💙

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Want to see if Airbridge fits your growth strategy?
Take a look and find your match: https://abr.ge/r4660as

Smarter measurement. Flexible plans. Built to scale with you.

Your AI costs are dropping. Your MMP bill isn’t.That’s the weirdest part of the AI fitness app cost stack.🧠 LLM inferenc...
04/13/2026

Your AI costs are dropping. Your MMP bill isn’t.

That’s the weirdest part of the AI fitness app cost stack.

🧠 LLM inference fell from $20 to $0.40 per million tokens in about two years, a 50x drop. For many AI fitness apps, that means today’s $100–$800/month AI API cost could keep getting lighter.

But attribution? Still often stuck in old pricing:
• $10K–$50K/year annual contracts
• $0.03–$0.07 per install pricing that rises with volume
• extra add-ons layered on top

That mismatch matters more for AI apps because the payback window is tighter:
📈 AI app subscribers can generate 41% higher revenue per payer
📉 but churn 30% faster than non-AI apps

So while inference gets cheaper and cloud costs stay variable, one line item keeps acting rigid right when growth teams need flexibility most.

👉 Read the full blog to see why attribution may be the least adaptive cost in the entire AI app stack, and why that becomes a real margin problem as you scale. https://abr.ge/dhiphz

🔥 1.5M+ global users🔥 40% CAC reduction🔥 300M+ workout recordsThat’s exactly what Planfit uncovered, with Airbridge by t...
04/09/2026

🔥 1.5M+ global users
🔥 40% CAC reduction
🔥 300M+ workout records

That’s exactly what Planfit uncovered, with Airbridge by their side.

Previously on the surface, performance looked strong.
But once they dug deeper into post-install behavior and real subscription data, the story changed.

Here’s what made the difference:

📊 They stopped optimizing for installs
• Tested multiple post-install events
• Found the one signal that actually predicts revenue
• Rebuilt campaigns around it

🎥 They treated creatives as growth levers, not guesses
• Tested UGC, creator-led videos, in-house assets, routine-based formats
• Measured everything against subscription outcomes, not just clicks

🔗 They connected the full funnel
• Airbridge + Amplitude + RevenueCat
• Linked attribution → user behavior → subscription revenue
• No more fragmented data, no more guesswork

🤝 They aligned the entire team on one source of truth
• ShareLink synced ad data into internal dashboards
• Everyone optimized from the same numbers

💡 Want to do exactly what Planfit did — without enterprise MMP pricing?

Core Plan is built for that:
• Only $0.05 per install
• 15,000 free attributed installs to get started
• No annual contract, self-serve setup
• Built-in support for subscription tools like RevenueCat, Adapty, Superwall

So you can test real post-install signals, connect your full funnel, and optimize for actual subscribers, not just installs.

👉 See how Planfit did it: https://abr.ge/h2qgjo

Not every team needs enterprise attribution.Some teams just need attribution that fits the stage they’re actually in.If ...
04/08/2026

Not every team needs enterprise attribution.

Some teams just need attribution that fits the stage they’re actually in.

If you are spending on Meta and Google, trying to understand which channel is driving paying subscribers, and still getting pushed toward 2-week onboarding, annual contracts, and a product built for 1,000+ network complexity… that mismatch is the problem.

What stood out to me in this launch is how clearly it reframes the category:
✅ 4 channels most teams actually use
✅ 25 standard subscription events instead of custom schema work
✅ 6 reports built around subscription questions
✅ self-serve SDK setup in 1–2 hours
✅ 15K free attributed installs before you pay anything

That is a very different story from the usual “buy the full enterprise stack now and figure it out later.” Airbridge is basically saying: if your team is small, your channel mix is focused, and your real question is “which source is driving subscribers and revenue?” then your attribution setup should reflect that.

👉 Read the full blog to see how Airbridge is positioning Core Plan between deep linking and full-scale enterprise measurement, and why that stage-fit approach matters for subscription apps. https://abr.ge/vuzs8h

What if “Where do I find that report?” just stopped being part of the job?That is the shift Airbridge AI is aiming for.N...
04/08/2026

What if “Where do I find that report?” just stopped being part of the job?

That is the shift Airbridge AI is aiming for.
Not another layer of dashboard complexity.
Not another chatbot bolted onto a product.

A different workflow:
→ ask for ROAS, retention, or active users in plain English
→ get answers without digging through menus
→ get guided through SDK setup without bouncing between docs and your dev environment
→ pull Airbridge data directly into the AI tools you already use

That is what makes this launch interesting. It is not just about faster reporting. It is about reducing the friction around three things growth teams deal with constantly: finding data, getting unstuck in setup, and switching contexts all day just to get simple answers.

If your team is already spending more time asking for data than acting on it, this one is worth a read.

👉 Read the full blog to see how Airbridge Pilot, Onboarding Pilot, and MCP are designed to make attribution data easier to access, easier to act on, and faster to operationalize. https://abr.ge/2svfq3

Views are easy. Revenue is the hard part.That is why influencer marketing for subscription apps gets misread so often.A ...
04/07/2026

Views are easy. Revenue is the hard part.

That is why influencer marketing for subscription apps gets misread so often.

A creator can rack up 400K views, 12K likes, and 3.2K clicks and still leave your team unable to answer the only question that matters: how many paying subscribers did that influencer actually drive?

For fitness apps, vanity metrics are not enough. The real decision metrics are CPS and D30 ROAS by influencer. Because influencer ROI is not “average.” One creator can look amazing on engagement and still underperform badly on paid subscriptions, while another with less buzz ends up driving far more revenue.

And the measurement gap is structural:
❌ UTM links break at the App Store
❌ coupon codes capture only part of the picture
❌ subscription revenue lives in billing platforms, disconnected from creator dashboards

So if you are still optimizing influencer spend on views, clicks, or installs alone, you are probably rewarding the wrong creators.

👉 Read the full blog for the full breakdown on why influencer ROI for subscription apps should be measured with per-influencer CPS and D30 ROAS, not vanity metrics. https://abr.ge/bv3x7f

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