Risk-adjusted
performance
Performance is only meaningful when it's adjusted for risk. We evaluate creator-led distribution across four dimensions: reach, media efficiency, attribution quality, and legal resilience.
Scenario-based estimates. Performance varies by industry, creative, audience, and attribution conditions.
Where the “up to 30x” comes from
The high multiplier draws on three dimensions documented by industry sources.
CPM differential
Meta paid social: $10-20 CPM. Creator-led distribution: $1-3 CPM.
Native engagement
User-generated content delivers click-through rates up to 4x higher than branded content.
Conversion impact
UGC and whitelist campaigns show CPA/ROAS gains of 40 to 60%.
Four forms of risk,
one integrated framework
Traditional efficiency overlooks hidden costs. Our framework surfaces them and addresses them upstream.
Regulatory risk
Disclosure ambiguities, evolving regulatory frameworks, platform compliance.
Rights risk
Copyright, source content rights, takedown requests, chain of authorizations.
Reputational risk
Creator behavior, editorial alignment, brand safety controls.
Contractual risk
Poorly defined responsibilities, obligations, usage rights, and term clauses.
Comparative risk view
Validation, attribution, limits
A multiplier is only as valuable as the figures behind it. Here's how we keep them honest.
View validation
- Direct read from official platform APIs (TikTok, Instagram, YouTube, X) to capture native metrics.
- Anti-bot and anti-fraud filtering on atypical spikes, abnormal view-to-engagement ratios, and non-organic traffic sources.
- Cross-checking with creators' native analytics to validate data consistency.
Attribution & measurement
- Our offering currently centers on verified reach and native engagement — two metrics we can measure reliably.
- Conversion attribution in creator-led distribution remains inherently imperfect: dark social, off-platform shares, cross-device journeys, variable attribution windows.
- When the brand requests it, we co-build a tailored attribution setup on a case-by-case basis (UTMs, dedicated promo codes, specific landing pages) — without overpromising a level of precision the measurement chain cannot guarantee.
- We'd rather honestly document what's measurable than artificially attribute conversions to a channel.
Reporting
- Weekly reporting during the campaign, consolidated review at the end.
- Structured dashboard: reach, engagement, attribution, cost per result, qualitative read.
- Raw data accessible, methodology explicit, assumptions documented.
Acknowledged limits
- Platform volatility: algorithm changes, policy shifts, monetization updates.
- Attribution blind spots: dark social, private conversations, off-platform shares.
- Cross-device uncertainty: a user exposed on mobile who converts on desktop.
- Exogenous shocks: seasonality, news cycles, market events.
Reach drives growth.
Defensibility makes it last.
Nothing on this page constitutes legal advice. Regulatory references are provided for informational purposes only. The scenarios presented are illustrative models; they do not constitute a guarantee of results.