Influencer rate estimation.

Sponsored post rates follow a rough formula: engaged audience (followers × engagement rate) × platform CPM × niche multiplier. This captures why micro-influencers with 10k engaged followers can charge more than mega-influencers with 1M followers at 0.5% engagement - actual engaged audience size matters, not follower count.

50,000 followers at 3% engagement = 1,500 engaged users. At 10 CPM (cost per 1,000) and 1.0x niche multiplier, the rate is 15 per post - clearly too low. That's why niche multipliers are critical: finance and tech can be 3-5x, beauty and fitness 2-3x, lifestyle 1-1.5x, general 0.5-1x. At 3x multiplier, the same post commands 45.

These rates are baseline. Negotiation, long-term partnerships, exclusivity, usage rights, and content type (reels vs static vs story) all shift price. Stories typically command 40-60% of feed rates; reels and videos 150-250%. Bundle rates (3-post packages) usually come in 20-30% below individual post rates.

Run it with sensible defaults

Using followers of 50,000, engagement rate of 3%, niche multiplier of 3, platform cpm of 10, the calculation works out to 45.00. Nudge the inputs toward your own situation and the output recalculates instantly. The defaults are meant as a starting point, not a recommendation.

The levers in this calculation

The inputs — Followers, Engagement Rate %, Niche Multiplier, and Platform CPM (£) — do not pull with equal force. Not every input has equal weight. Flip one at a time toward extreme values to feel which ones move the needle most for your situation.

How the math works

Engaged users = followers × engagement %. Base rate = (engaged users ÷ 1,000) × CPM × niche multiplier. Story = 50% of rate. Reel/video = 2x rate. The working is transparent — you can verify every step yourself in the formula section below. No black box, no opaque "proprietary model".

What to do with a low result

A disappointing result is information, not a judgement. Pick the single input that dragged the figure down most and focus the next quarter on that one factor. Breadth-first improvement rarely works; depth-first on the worst input usually does.

What this doesn't capture

The score is a composite of the inputs you provide. Life context — job security, family obligations, health, housing — doesn't appear in the math but shapes the real picture. Use the number as a prompt, not a verdict.