You spend $2-5 to bring each user. 77% never come back. Every personalization tool needs history they haven't created yet.
What if you could act in the first 5 minutes — before they leave?
The Problem
Without Entry API
CRM, retargeting, recommendations
all fight over these 230
77% lost
With Entry API
Larger retained base
= every downstream effort scales
2x+ potential lift
$2–5
average CPI to acquire one user
77%
of users never return after Day 1
$0
invested in their first experience
Airbridge Entry API: personalize from the very first screen.
One API call, 5 minutes from install to prediction — 4 real-time predictions.
The Secret
Their history starts at the first ad impression — not at install.
Ad channels, click patterns, hesitation time — all recorded in the multi-touchpoint ad journey.
Every touchpoint is a signal. The platforms' billion-dollar ML optimization already sorted your users — we just read the result.
The DNA of user intent — extracted from ad platform ML across every channel.
Every micro-action in 300 seconds reveals exactly where they are in the funnel.
70+ raw signals distilled into 25 precision features. The ad journey reveals who this person is — their intent, urgency, and value. The in-app behavior reveals what they want right now.
No other platform on earth has both. Only Airbridge, the MMP, has this data.
Why Us
You need pre-install data. Only the MMP has it.
| Data Source | Prediction Power | Who Has It |
|---|---|---|
| Device info (OS, model) | Almost none | Anyone |
| Multi-touch ad journey | High | Only Airbridge |
| First 5-min in-app behavior | High | Any SDK app |
| Ad journey + In-app combined | Highest | Only Airbridge |
Device info (OS, model)
Multi-touch ad journey
First 5-min in-app behavior
Ad journey + In-app combined
What You Get
You define the treatment variants. Airbridge assigns the right one per user — plus three predictive signals to guide budget and retention decisions.
You define the variants. A contextual bandit picks the right one for each new user.
"best_trigger": "<your_treatment>"Focus budget on high-intent users. Save it for everyone else.
"d3_purchase_prob": 0.87Spot users about to leave. One shot to keep them.
"d3_churn_prob": 0.72$500 customer or $2 customer? Know instantly.
"pltv": { "tier": "high", "percentile": 92, "tier_avg_ltv": 110000 }Proven Results
Validated on e-commerce apps, 40K+ new installs, 30-day window.
Model ranks users by purchase likelihood. Top 10% vs Bottom 10% actual purchase rate.
When the model says “this user will buy” — they actually buy.
154× differenceTop 10% churn-risk users: actual churn rate
Of users the model flagged as “will churn”, 81.2% actually left within 3 days.
Bottom 10%: only 11.9% churned.
Average 30-day revenue by predicted tier
440× difference
<200ms
real-time response
5 min
from install to prediction
25
precision features
The Process
We assign your treatments randomly to collect causal data.
A contextual bandit starts picking the best treatment per user.
The model improves every week. Your code never changes.
Live Demo
Real API. Not a mockup.
curl -X POST https://airbridge-entry-api-prototype.onrender.com/v1/entry/predict \
-H "Content-Type: application/json" \
-d '{"app_id":"sample_1","airbridge_uuid":"363c178f-ad44-4e18-ad81-ed098e28919f"}'Click the command to select, then copy and paste into your terminal.
Example Response
{
"user_id": "363c178f-ad44-4e18-ad81-ed098e28919f",
"best_trigger": "social_proof",
"trigger_scores": {
"price_appeal": 0.18,
"social_proof": 0.28,
"scarcity": 0.20,
"novelty": 0.19
},
"is_random": false,
"d3_purchase_prob": 0.22,
"d3_churn_prob": 0.34,
"pltv": {
"tier": "medium",
"percentile": 59,
"tier_avg_ltv": 9338
}
}Treatment names (price_appeal, social_proof, etc.) shown above are the e-commerce defaults for this demo app. The keys in best_trigger and trigger_scores match whatever treatments you define for your app.
⚠️ Demo server may take ~30s to wake up on first request (free tier). Production API responds in <200ms.
Integration
Models, experiments, retraining, serving — all handled.
Core app events (views, signups, purchases). Most already tagged if you use Airbridge.
3–6 variants of the experience you want to personalize — banners, CTAs, onboarding paths. Same format, different hook.
POST with app_id + uuid. 5 min from install to treatment. We handle the rest.
Live in 1 week. No commitment required.
Get Started
Pilot setup in 1 week. No commitment.