Influencer rate card
calculator for 2026.

Rate depends on five things: what one deliverable is worth before terms — a creative floor plus how big and engaged the audience is (BMV); how much production work went into the post (CM); what usage rights are granted (RM); how the engagement compares to the niche benchmark (QA); and the market context — geo, niche, season (MA). OCRS multiplies these five together to give a fair rate plus a confidence band. The calculator on this page computes all of them live.

OCRS (Open Creator Rate Standard) is an open methodology for pricing creator deals — coefficients sourced from 2026 sponsored-content benchmark reports; outputs shipped with a confidence range. The previous version of this calculator used a simpler CPM × follower model. OCRS prices rights, exclusivity, and production effort line-by-line, which gives both brands and creators a defensible number. Same URL, materially better math.

Every coefficient — creative floor and CPM by platform, niche ER benchmarks, geo tiers, seasonal multipliers, rights add-ons — is sourced from public industry benchmarks. The full methodology PDF documents each one, and every version's changes are logged. Where a factor (authenticity, consistency) defaults to 1.0, it's because the time-series data needed to compute it isn't reliably public yet.

OCRS captures both, through views. Median views drives the reach part of BMV. Engagement rate (vs. the niche benchmark) drives the QA factor, clipped between 0.7× and 1.5×. A 50k creator at 6%+ ER will land well above a 200k creator at 1.5% ER on identical content.

Because since v1.1 BMV starts from a per-platform creative floor — the cost of a real person scripting, shooting, and editing one deliverable — before reach is added. Brands commission content, not only impressions. The floor is scaled by the same content, rights, quality, and market multipliers as everything else, and it's under 1% of a macro creator's rate.

Because creator data is noisy. A single viral post can inflate a small sample. OCRS shrinks small samples toward the category prior (Bayesian shrinkage with k=10) and reports a ±15% band by default, widening to ±25% under 30 posts and ±40% under 10 posts. The band is the realistic negotiating range, not a single false-precision number.

More per thousand than any consumer platform. LinkedIn is priced per 1,000 impressions — enter your median impressions per post and your engagement as (reactions + comments + reposts) ÷ impressions. A post starts from a $200 creative floor plus $75 per 1,000 impressions; a video from $500 plus $85. A 20K-follower creator with 8,000 median impressions lands around $725 for an organic post, over $1,100 in the founder / executive niche, and around $1,090 for a video. Brands running Thought Leader Ads or paid amplification should add whitelisting or paid-media rights on top.

Price the primary at full rate, then add each platform in the cross-post package section with that platform's own median views. Pick how the content gets there: cross-posted as-is, natively adapted, or shot separately. The calculator charges the creative work at a reuse share and the reach at a media share, keeps whitelisting per platform, and charges exclusivity once — so a same-file cross-post lands at roughly half of what that platform would cost on its own. You get the package total, its band, every line, and what the same deal would cost booked platform by platform.

Yes. Send the fair rate, the confidence band, and the breakdown of all five multipliers. Because every coefficient is open and sourced, brands can plug in their own assumptions and reproduce the math. That's the point of an open standard — no one has to take anyone's word for it.