Influencer ROI

Authenticity and reach without the audit theatre.

Score creators on real audience quality, true reach, and historical conversion lift. Stop paying for inflated follower counts.

Start free with Influencer ROISee pricing

How it works

The exact thing your team is trying to call.

Expected campaign-level cost per real engaged impression and projected conversion lift versus a baseline creator at the same tier.

  • Audience authenticity scoring with bot and inactive detection
  • Category fit modeled per brand vertical
  • Historical conversion lift versus tier baseline
  • Brand-safety flagging with named risk categories
  • Cross-platform consolidated creator profiles

Signal sources

What feeds the influencer roi model.

  • 01Instagram, TikTok, YouTube, and X public engagement
  • 02Affiliate-link click and conversion panels
  • 03Brandwatch-style mention sampling
  • 04Creator-network deal disclosures
  • 05Public follower-growth time series
Sample entities tracked:Beauty Creator 1.2MFitness Creator 480KTech Creator 220K

Use cases

What teams actually do with Influencer ROI.

  • Greenlight reviews for influencer roi

    Run scoring on a portfolio of candidates and surface the ones whose influencer roi 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/influencer-roi/{entityId}
{
  "entityId": "crt_38a9b",
  "authenticityScore": 0.83,
  "projectedCPM": 11.4,
  "conversionLift": 1.27,
  "drivers": [
    {
      "feature": "audience_realness",
      "contribution": 0.11
    },
    {
      "feature": "engagement_quality",
      "contribution": 0.08
    },
    {
      "feature": "category_fit",
      "contribution": 0.07
    },
    {
      "feature": "brand_safety_flags",
      "contribution": -0.03
    },
    {
      "feature": "saturation_in_niche",
      "contribution": -0.02
    }
  ],
  "analogs": [
    "crt_77af1",
    "crt_19c08",
    "crt_b22d1",
    "crt_4e0a1",
    "crt_0921e"
  ]
}

Compared to

How Influencer ROI differs from what is already out there.

VendorHow SignalGrid is different
HypeAuditorConversion lift modeling on top of authenticity scoring.
CreatorIQIndependent signal, not a creator-managed network.
ModashBrand-safety and category-fit conditioning baked into ROI scoring.

Try Influencer ROI on your own entities.

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

Start freeTalk to us

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