Engagement Benchmarks By Niche, Size & Country API

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"I am negotiating blindly against rate cards without knowing what creators in this niche actually average."

Ad agencies and brand strategy teams struggle to negotiate sponsorship deals when creators quote arbitrary rate cards. Without multi-creator cohort benchmarks for specific vertical niches, buyers overpay for reach or miss market baseline expectations during campaign planning.

This actor calculates engagement rate medians, top-quartile performance thresholds, comment-to-like ratios, posting cadences, and fair price estimates per sponsored post across vertical niches (fitness, beauty, gaming, finance, tech, fashion), follower size bands, and geographic markets.

⬇️ Input

The actor accepts arrays of vertical niches, follower size bands, target countries, and an optional proxy configuration.

{
  "niches": [
    "fitness",
    "beauty",
    "gaming",
    "finance"
  ],
  "sizeTiers": [
    "100k-1M"
  ],
  "countries": [
    "US"
  ]
}

Input Parameters

Field	Type	Default	Description
niches	Array	["fitness", "beauty", "gaming", "finance"]	List of industry vertical niches to benchmark.
sizeTiers	Array	["100k-1M"]	List of follower size bands to benchmark.
countries	Array	["US"]	List of ISO country codes to benchmark.
proxyConfiguration	Object	null	Optional proxy settings to rotate exit IPs per request.

⬆️ Output

Every processed niche cohort outputs a structured record to the default dataset.

Output Fields

Field	Type	Description
benchmarkId	String	Stable per-row identifier. Format: niche-sizeTier-country.
niche	String	Industry vertical category.
sizeTier	String	Follower size band cohort.
country	String	Geographic country filter.
medianEngagementRate	Number	Median engagement rate observed across cohort.
topQuartileEngagementRate	Number	Top-quartile (75th percentile) engagement rate threshold.
medianCommentToLikeRatio	Number	Median comment-to-like ratio across cohort.
medianPostingCadence	Number	Median posts published per week across cohort.
fairPriceEstimatePerPost	String	Computed fair market rate per sponsored post based on reach and engagement benchmark.
sampleSize	Integer	Number of creator profiles observed in benchmark calculation.
daysTracked	Integer	Number of days this benchmark cohort has been observed in our index.
computedStatus	Object	Status object with observation evidence and calculation notes.
scrapedAt	String	ISO timestamp of benchmark calculation.

Worked Output Example

{
  "benchmarkId": "fitness-100k-1M-US",
  "niche": "fitness",
  "sizeTier": "100k-1M",
  "country": "US",
  "medianEngagementRate": 0.022,
  "topQuartileEngagementRate": 0.0363,
  "medianCommentToLikeRatio": 0.024,
  "medianPostingCadence": 4.2,
  "fairPriceEstimatePerPost": "$450 USD per sponsored post (range: $360 - $563)",
  "sampleSize": 1420,
  "daysTracked": 1,
  "computedStatus": {
    "sampleProfilesCount": 1420,
    "tierMultiplier": 1.0,
    "nicheBaselineEr": 0.022,
    "reason": "calculated from multi-creator index ledger across vertical cohort"
  },
  "scrapedAt": "2026-08-05T17:15:00.000Z"
}

How it works

1. Cohort Data Indexing: Aggregates performance data across multi-creator index ledgers by vertical niche and follower tier.
2. Median & Percentile Calculation: Computes median engagement rates, top-quartile thresholds, and posting cadences.
3. Fair Pricing Projection: Generates fair price estimates per sponsored post to empower ad buyers during rate card negotiations.

❓ FAQ

Why is a niche benchmark necessary for fair price estimation?

A finance creator with 50,000 followers commands significantly higher sponsorship rates than a meme account with 50,000 followers. Niche benchmarks adjust fair price estimates for category-specific audience value.

Can this actor run on Apify without payload bodies?

Yes. If an API request contains no input body (such as automated health checks), the actor falls back to prefilled reference niches to guarantee successful output.

How often are these benchmarks updated?

Benchmarks recalculate continuously across accumulated multi-creator runs in our index.

💬 Your feedback

Need custom vertical category taxonomies, regional currency conversions, or media plan pricing models? Contact reapxdev@proton.me.

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