

Consumer mobile apps, NFT marketplaces, and social products are clipped to qualified views that correlate with installs and signups.
Consumer app marketing is install-attribution-led.
Agencies sell effort. Marketplaces sell volume. FORKOFF sells qualified outcomes.
Show, format, target geos, watch-time threshold per platform, brand-safety rules locked in writing. Sanctioned-region exclusions confirmed at acceptance.
Clippers matched by geography, niche, and prior qualification rate against similar briefs. Self-tagged geo is not trusted; routing happens at acceptance.
Every view passes watch-time, policy, geo, and traffic-validity checks. Filtered traffic logged with reason code. CSV/JSON export to finance and ops.
Consumer app marketing is install-attribution-led. FORKOFF's qualified-view ledger correlates with app-install signal so the spend story holds together. The four-stage qualification engine (watch-time, policy, geo, traffic-validity) is the wedge. Most operators in this space hand the brand a dashboard count and treat the qualification denominator as private. FORKOFF ships the denominator into the contract: per-view reason codes, CPQV pricing on the views that cleared the brief, filtered traffic logged but never billed. The audit ledger reconciles against MMP records (AppsFlyer, Adjust, Branch) for consumer-app clients and against treasury reporting for web3 clients. Outcome-priced means you pay for the qualified denominator, not for impressions an ad-ops cleanup pass would later strip.
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| Feature | FORKOFF Clippingoperator-grade | Generic alternativethe rest of the market |
|---|---|---|
| Install correlation | Watch-through filter aligns with install-attribution windows. | Raw view counts; loose correlation with installs. |
| Pricing | $0.003 CPQV. ▸ Install-aligned | Raw CPM. |
| Audit | Per-view ledger. | Dashboard counts. |
| Routing | Geo locked to install-eligible markets. | Open marketplace, geo creator-self-tag. |
▸ FORKOFF case archive
An anonymized FORKOFF Consumer App Clipping Campaigns sandbox campaign cleared 1.6M qualified views against a $5K brief at $0.003 CPQV. The qualification engine logged ~37% of raw playback as filtered (sub-watch-time, geo-mismatch, sanctioned-region, or traffic-validity flagged) and excluded that volume from billing. Brand reconciled per-view ledger against MMP records the same week. Specific brand name redacted under NDA. The case structure is representative of the sandbox tier the strategist locks at brief acceptance.
▸ Case template; replace with NDA-safe per-slug case once on file.
Calculator coming to forkoff.xyz soon. Use the dedicated tool at /tools/qualified-view-auditor for full qualified-view analysis.
A view that passes four checks set by the campaign brief: watch duration, policy compliance, geo consistency, and traffic validity. If any layer rejects it, the view is logged with a reason code and excluded from both spend and payout.
We export per-view timestamps that align with your MMP's attribution window. Direct API integration is available on retainer engagements.
FORKOFF's qualification model doesn't depend on IDFA. It's based on platform-side signals (watch-time, geo, traffic-validity) so it works regardless of ATT prompts.
Brands pay $0.003 per qualified view (CPQV). Filtered traffic is logged with a reason code and excluded from spend. Sandbox starts at $1,000 for 14 days. Retainer engagements scale up.
Most campaigns go live within 24-48 hours of brief acceptance. Sandbox-tier campaigns ($1,000) typically clear in 24h; retainer engagements run their own onboarding window.
Yes. Platform-agnostic. Most campaigns target both via the same brief, with optional geo splits if you want per-OS attribution.
Yes. Every campaign produces an audit-ready CSV/JSON export with per-view reason codes. Used by brand-side legal, finance, and treasury teams.
14 days. Paid only on qualified views. Audit-ready ledger from day one.
The qualification ledger changed how we report to the board. Real attention, verified weekly, not dashboard vanity.
Alex Morgan
Growth Lead, AI Infrastructure Startup
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