OTT Demand

Streaming hit prediction without waiting for Nielsen.

Project demand for any series or film across major streaming platforms. Identify which titles are likely to break through and which will fade in week three.

Start free with OTT DemandSee pricing

How it works

The exact thing your team is trying to call.

First-30-day demand index per title, calibrated against historical post-release platform performance and audience completion rates.

  • Platform-specific demand curves for the major streamers
  • Audience overlap analysis across libraries
  • International demand projection by language market
  • Promotional lift simulation for marketing planning
  • Series renewal probability scoring

Signal sources

What feeds the ott demand model.

  • 01Parrot Analytics demand panel signal
  • 02Trakt watchlist and view data
  • 03Reddit show-specific subreddits
  • 04X premiere-week chatter
  • 05News RSS reviews and recap coverage
  • 06Google Trends post-launch interest
Sample entities tracked:Premium Drama SeriesComedy Limited RunForeign Language Hit

Use cases

What teams actually do with OTT Demand.

  • Greenlight reviews for ott demand

    Run scoring on a portfolio of candidates and surface the ones whose ott demand signals diverge most from their internal narrative.

  • Continuous monitoring

    Subscribe via webhook and receive a payload only when the score crosses a threshold you defined. No dashboards required.

  • Cross-vertical analysis

    Pull the same entity into other verticals to see whether the signals agree or disagree. Disagreement is often where the alpha is.

  • Backtesting before commitment

    Score the last 24 months of decisions against the model and compare hit rates. The calibration_bucket field tells you how much to trust the model in the bands you care about.

API

Calibrated, explainable, ready for production.

Every prediction ships with a confidence interval, the top feature drivers explaining the score, and the five nearest historical analogs the model leaned on.

Available via REST and a typed TypeScript SDK.

See full API reference
GET /v1/predictions/ott-demand/{entityId}
{
  "entityId": "ott_7c2a8",
  "demandIndex30d": 142.7,
  "ci95": [
    128.4,
    158.9
  ],
  "platformFit": {
    "netflix": 0.78,
    "max": 0.62,
    "primeVideo": 0.71,
    "disneyPlus": 0.34
  },
  "drivers": [
    {
      "feature": "genre_saturation",
      "contribution": -0.08
    },
    {
      "feature": "lead_recognition",
      "contribution": 0.07
    },
    {
      "feature": "trailer_completion_rate",
      "contribution": 0.06
    },
    {
      "feature": "platform_audience_fit",
      "contribution": 0.05
    },
    {
      "feature": "release_window_competition",
      "contribution": -0.03
    }
  ],
  "analogs": [
    "ott_5fa11",
    "ott_8b3c2",
    "ott_2e891",
    "ott_4d77a",
    "ott_9c01b"
  ]
}

Compared to

How OTT Demand differs from what is already out there.

VendorHow SignalGrid is different
Parrot AnalyticsWe forecast forward demand, not only measure current attention.
Whip MediaPredicts platform fit and renewal probability, not only ratings panels.
Samba TVPublic-signal coverage on titles before they have measurable viewership.

Try OTT Demand on your own entities.

Start free during the public beta. We will pre-select ott demand for you on signup.

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