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The Payout Study

The Payout Study

Deep, sourced analysis of how creators actually make money — RPM benchmarks, brand-deal rate research, platform fund economics, and long breakdowns of the real numbers behind the income screenshots.

58 подписчиков
1 средние просмотры
119 постов / 30д
1.7% engagement rate
📂 Industry & Brand News
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Последние публикации

Архив редакционных публикаций канала за последние 30 индексируемых постов. Каждая страница — самостоятельная веб-копия с canonical на t.me.

A creator who renegotiated flat fees into hybrids Context: a tech reviewer shared outcomes from converting three brand deals from pure flat-fee to flat-plus-affiliate hybrids over a year. What was done: — Previous deals:…
@ThePayoutStudy
A Patreon that cut tiers and grew revenue Context: a creator documented collapsing a 6-tier Patreon into 3 tiers, a decision-fatigue experiment with measurable output. What was done: — Reduced tiers from six ($2/$5/$10/$…
@ThePayoutStudy
A creator who measured the cost of a borrowed audience Context: a course-seller published two launch results — one to an Instagram following, one to an email list built afterward — selling the same $290 product. What was…
@ThePayoutStudy
Worth your feed @B2BLever. Plain-English LinkedIn Ads lessons for beginners: campaign types, audience setup,… We read it, you probably should too.…
@ThePayoutStudy
A paid-newsletter launch, conversion math shown Context: a writer published a transparent breakdown of converting a free Substack of 11,200 subscribers to a paid tier. What was done: — Launched a $8/month ($80/year) paid…
@ThePayoutStudy
An influencer who A/B tested her own rate card Context: a lifestyle creator (~85,000 Instagram followers) ran an informal experiment across 14 brand inbound inquiries, quoting two different rate structures to see which c…
@ThePayoutStudy
A podcast that traded reach for host-read rates Context: an independent podcaster (about 14,000 downloads/episode) shared a year of ad data comparing programmatic dynamic-insertion against direct host-read deals. What wa…
@ThePayoutStudy
Same account, two payout programs: a 6x difference Context: a TikTok creator documented earnings on identical content before and after migrating from the legacy Creator Fund to the Creativity Program (the longer-form rew…
@ThePayoutStudy
A Twitch streamer's revenue mix, line by line Context: a mid-tier Twitch streamer (average 340 concurrent viewers) published a 12-month income breakdown, a rare granular self-report. Findings (annual, self-reported): — S…
@ThePayoutStudy
An affiliate site that cut traffic 40% and grew revenue Context: a published case from an affiliate-site operator documented a deliberate pruning of 220 thin articles from a 600-page review site over one quarter. What wa…
@ThePayoutStudy
A newsletter that doubled sponsor revenue without growth Context: an operator of a B2B marketing newsletter (open rate ~42%, list ~28,000) published a teardown of how they restructured sponsor pricing over 18 months with…
@ThePayoutStudy
One channel, two niches: a 9x CPM swing A frequently-cited self-reported case in creator forums involves a single YouTube operator who ran two channels with near-identical production budgets and upload cadence (3 videos/…
@ThePayoutStudy
Tips and donations concentrate even harder than ad revenue Thesis: viewer-direct income (tips, donations, super-chats, paid gifts) follows an even more extreme concentration than advertising, and creators planning around…
@ThePayoutStudy
One to follow For LinkedIn organic done right, @FeedHeretic is the move. Debunking LinkedIn 'guru' advice with what the feed actually rewards — why broetry,……
@ThePayoutStudy
The talent-agency take rate is the least-transparent number in the funnel Thesis: reported brand-deal rates rarely disclose where agency and management commissions fall, which systematically distorts what creators believ…
@ThePayoutStudy
Paid-subscription conversion: the 1-10% range hides everything important Thesis: free-to-paid conversion benchmarks for creator subscriptions are quoted as broad ranges that are too wide to act on, and the dispersion its…
@ThePayoutStudy
The Q1 ad-revenue cliff is predictable, and most creators still don't budget for it Thesis: ad-supported creator income has a strong, recurring seasonal cycle driven by advertiser budgets, and treating it as random noise…
@ThePayoutStudy
What MLM income-disclosure law can teach us about creator income claims Thesis: multi-level-marketing income disclosures are the closest thing we have to audited population-level income data for opportunity-based earning…
@ThePayoutStudy
Owned-audience economics: why a small list can out-earn a large channel Thesis: per-subscriber revenue on owned channels (email newsletters) tends to exceed per-follower revenue on rented platforms by a wide margin — and…
@ThePayoutStudy
Short-form vs. long-form: measure revenue per production hour, not per view Thesis: the short-versus-long monetization debate is usually framed as RPM-per-view, which is the wrong denominator; revenue per production hour…
@ThePayoutStudy
Engagement rate is a load-bearing metric with no agreed definition Thesis: brand-deal pricing leans heavily on 'engagement rate', but the term has no standard formula, which quietly corrupts every study and rate card bui…
@ThePayoutStudy
Audience geography is a hidden multiplier on every payout number Thesis: RPM and brand-deal benchmarks are nearly meaningless without audience-geography context, yet almost every cited figure omits it. Context: advertise…
@ThePayoutStudy
Niche, not skill, is the dominant RPM variable Thesis: across the available data, content category explains more RPM variance than production quality, posting frequency or audience size combined — a finding creators cons…
@ThePayoutStudy
One to follow For Meta ad scaling done right, @ScaleOrStall is the move. In-the-trenches tactics for pushing Meta campaigns from $100 to $10k/day without……
@ThePayoutStudy
For creators, the variance is the risk — and it's barely studied Thesis: creator-income research overwhelmingly reports central tendency (averages) and almost never reports dispersion, yet month-to-month variance is the …
@ThePayoutStudy
The screenshot economy: why income proof is a biased sample Thesis: publicly shared earnings screenshots are not evidence about typical outcomes — they are a structurally censored sample, and the censoring is the whole s…
@ThePayoutStudy
Affiliate EPC: the metric everyone quotes, almost nobody understands Thesis: earnings-per-click is reported as a stable average, but the underlying distribution is so heavy-tailed that the average barely describes any re…
@ThePayoutStudy
Platform creator funds: the per-view rate is designed to decay Thesis: fixed-pool creator funds mathematically guarantee falling per-view payouts as the platform grows, and several funds' own mechanics confirm this. Cont…
@ThePayoutStudy
Brand-deal rates have quietly decoupled from follower count Thesis: the old '1% of followers in dollars' heuristic is now actively wrong, and the data on why is more interesting than the rule it replaced. Context: influe…
@ThePayoutStudy
Why average RPM is the wrong number to plan a business on Thesis: nearly every RPM figure creators cite is a mean, and means are structurally misleading in a market this skewed. Context: when a 2024 analysis of public CP…
@ThePayoutStudy
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