PALOMA

ML DECISION LAYER FOR NATIVE APPS

Your app should know what to do next.

Paloma turns live product behavior into personalized in-app actions: converting, retaining, and guiding each user at the moment they are most likely to move.

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1 SDK

install once

<50ms

decision budget

0 cohorts

individual predictions

private

minimal movement

SESSION 8F-19LIVE

native moment56% intent

Unlock Pro?

Third high-value action reached. Paloma selects annual trial with proof-led copy.

Start annual trial

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56%intent

45lift

68risk

MODEL OUTPUT

Act while intent is rising

INTENT SCORE

0.56+45% lift

NEXT BEST ACTION

Annual trial offer

confidence high

Signal stream

feature_depth+0.18

paywall_hover+0.11

session_velocity+0.09

dismissal_fatigue-0.04

01read

02predict

03act

04learn

Subscription paywalls

price sensitivity

Upgrade prompts

feature velocity

Onboarding paths

first value

Feature education

depth reached

Win-back offers

return intent

Trial conversion

activation slope

Review requests

satisfaction window

Lifecycle nudges

fatigue control

Why Paloma

Analytics tells you what happened. Paloma decides what happens next.

Most app teams still optimize through dashboards, cohorts, and slow experiments. Paloma is a live model loop: it observes behavior, predicts intent, and deploys the best in-app intervention while the user is still there.

+20-60%

uplift target

Convert when intent peaks

Detect the moment a user is most likely to subscribe, upgrade, book, or buy, then show the right offer instead of a generic paywall.

24/7

live scoring

Retain before churn appears

Predict slipping engagement from in-app behavior and trigger personalized save flows before users vanish from your funnel.

1:1

decisioning

Personalize every moment

Let Paloma choose the message, timing, surface, incentive, and journey variant for each user, not just each segment.

The product loop

Four moves from signal to revenue.

Paloma is built for app founders and growth teams who want ML to operate inside the product experience safely, quickly, and measurably.

Read

Capture behavioral signals already happening inside your app: velocity, depth, hesitations, repeats, exits, and unlock moments.

Predict

Models estimate intent, churn risk, offer sensitivity, fatigue, and next-best action at the individual-user level.

Act

Paloma serves the highest-value intervention through your native UI, so optimization feels like product, not marketing automation.

Learn

Every impression, dismissal, purchase, and return visit becomes training signal for the next decision.

Native SDK

Add a decision layer without rebuilding your app.

Register the moments you want to optimize. Paloma scores context, selects the intervention, and hands your app a native view model so every experience stays on-brand.

Swift-first integration

Native UI control

Experiment-safe rollouts

Privacy-conscious architecture

Swift

PalomaMoment.swift

import SwiftUI
import PalomaML

@main
struct MyAwesomeApp: App {
  init() {
    Paloma.init(appId: "YOUR_APP_ID")

    Paloma.registerMoment("paywall") { context in
      PaywallView(
        offer: context.bestOffer,
        copy: context.predictedMessage,
        urgency: context.intentScore
      )
    }
  }

  var body: some Scene {
    WindowGroup { ContentView() }
  }
}

Where it works

Every important app moment becomes smarter.

Optimization should feel invisible to users and obvious in your metrics. Paloma focuses on moments that compound into revenue and retention.

Revenue

Adaptive paywalls

Price, copy, plan order, free trial, and discount depth respond to each user's predicted willingness to convert.

Activation

Dynamic onboarding

Skip the same tour for everyone. Paloma routes new users toward the first action most likely to create retention.

Retention

Churn interception

Spot disengagement early and intervene with education, reminders, or a better-fit product path.

Experimentation

Autonomous learning

Move beyond A/B tests that crown one average winner. Keep learning the best action for every user state.

Make your next user session the one that converts.

We are building Paloma with a small number of ambitious app teams. Bring us a funnel, a retention problem, or a high-value moment and we will help make it adaptive.

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