Coming Soon

Whale Behavior Prediction

ML prediction for high-value fan behavior in creator economies

Whale Behavior Prediction identifies fans with high lifetime value potential before they reveal it and predicts which existing high-value fans are showing early disengagement signals. Connects via API to your platform data and delivers daily risk and opportunity scores per subscriber.

app.owlematic.pro

MRR

$14,320

+12% this month

Active

487

+23 this month

Churn

1.8%

-0.4% this month

Revenue chart

$14K/mo

Verified revenue

73%

Choose annual

98.7%

Uptime SLA

<2min

Setup time

The Problem

Sound familiar?

High-value fans (whales) drive 80% of revenue but are treated the same as average subscribers until they spend — by then, personalization opportunity is missed

Whale disengagement is invisible until they unsubscribe — agencies have no warning system to intervene early

The Solution

Whale Behavior Prediction fixes this.

Whale Identification Model

ML classifier trained on engagement patterns (message frequency, tip history, content interaction) to score each subscriber's whale probability within the first 72 hours.

Disengagement Early Warning

Detects declining engagement patterns in existing high-value subscribers and alerts the chatter team 7-14 days before a predicted unsubscribe.

Personalization Recommendations

For each flagged whale, generates a content and interaction recommendation based on their historical engagement pattern.

How It Works

Set up in under 2 minutes. No complex configuration.

1

Whale Identification Model

ML classifier trained on engagement patterns (message frequency, tip history, content interaction) to score each subscriber's whale probability within the first 72 hours.

2

Disengagement Early Warning

Detects declining engagement patterns in existing high-value subscribers and alerts the chatter team 7-14 days before a predicted unsubscribe.

3

Personalization Recommendations

For each flagged whale, generates a content and interaction recommendation based on their historical engagement pattern.

4

Daily Score API

REST API delivers daily updated scores per subscriber for integration into your existing agency dashboard or chatter workflow.

Why not the alternatives?

Same result. A fraction of the price.

ProductPriceCore feature
Whale Behavior Prediction$99/moML prediction for high-value fan behavior in creator economies
Enterprise tool$149/moOverkill for most teams
DIY approach40+ hrs devHigh maintenance burden

Integrates with your stack

Stripe
Slack
Zapier
Webhooks
API

Simple, Transparent Pricing

No per-user fees. No hidden costs. Cancel anytime.

Intelligence

$99/mo
  • Up to 10,000 subscribers scored
  • Daily score updates
  • Disengagement alerts
  • Personalization recommendations
  • REST API access
30-day money-back guarantee
Cancel anytime
Price-lock guarantee

Frequently Asked Questions

How much historical data is needed to train the model?

The model uses platform-wide patterns and requires only 30 days of your own subscriber interaction data to calibrate. Useful predictions begin from day one using transfer learning.

Does this integrate with Agency OS?

Yes. Whale Behavior Prediction scores are natively displayed in Agency OS subscriber profiles when both products are connected.

Ready to get started?

Join hundreds of businesses saving time and money.

Be the first to know when we launch.