Insights
Field guides for brands on π
Research and benchmarks compiled for brand teams thinking about creator-led campaigns. We update these as the 2026 cost data moves.
Can an early-stage company do creator marketing on a few thousand dollars?
Why agencies won't take your order, and why two big-name posts sink without a trace: real delivery data from 38 settled campaigns β a typical post lands about 10K effective views, and 5% of posts carry nearly 40% of all exposure. A small budget can play; it just can't play the big-company way.
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Pushing GitHub stars: is there a legit playbook?
Star velocity around one X campaign: 121/day inside the window, against a normal speed that never passed 70 β all re-checkable in a third-party archive. Plus how GitHub Trending behaves, and why bought stars don't pay.
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Same budget, which creator portfolio delivers more?
The same creator's best post runs 14Γ their worst, and 42% of hits come from newcomers no data could have picked. A review of hundreds of real campaign posts: why a creator list should be built as a portfolio, and how.
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What Is Effective Exposure?
Raw impressions are a mixture β organic views, injected traffic and zero-engagement displays land in one number. A concept-first guide: what effective exposure is and how it is screened, with real per-post curves and one full campaign.
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After an OpenRouter Model Launch, How Long Between Content Promotion and Token Usage Growth?
A new LLM launched on OpenRouter with a creator campaign running alongside it. Exposure peaked 1β2 days before requests; the campaign delivered 1.05M effective views while daily requests moved from ~1.7M to ~3M.
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Paying Only for Real Influence: Traffic & Account Quality Defenses
Three manipulation patterns we actually observe (coordinated account networks, external traffic services, creators flooded without their knowledge), Tutti's four-layer defense, and the effective-views settlement standard that strips non-organic exposure before a dollar is paid.
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The influencer marketing guide for AI teams going global: how results actually get measured
The five most common traps (fake engagement, slow payback, attribution gaps, eroding trust, opaque pricing), a four-layer metrics framework, a ready-to-use settlement rubric, and a pre-collaboration due-diligence checklist β written for AI teams taking their products global.
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What brands actually pay for attention on π
How creator quotes are built, why native CPM runs 2β15Γ higher than π official ads, and where Tutti's $8β$14 effective CPM sits inside the 2026 market.
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