OpenClip for Brands Running Clipping Campaigns
A pay-per-view budget with no creative floor buys reach and brand damage at the same time. The brands that get real results from clipping supply usable footage, ship a reference pack alongside the rules page, and judge the campaign on cost per verified view rather than raw impressions.
Pain Points
Build the Source Library Before You Fund the Pool
Pick long-form assets you clearly own the rights to: podcasts, founder interviews, webinars, launch streams, product walkthroughs
Run them through OpenClip's AI moment detection and review the ranked candidates rather than guessing which parts land
Export approved moments at 9:16, plus 1:1 and 16:9 for placements outside vertical feeds
Publish the pack as the campaign's approved footage, with a plain statement of what clippers may and may not re-cut
Refresh it on a schedule, because a stale source library is why campaign submission volume decays in week three
Ship a Reference Pack With the Rules Page
Render five example clips using the caption preset and framing you want submissions to match
Write one line per example explaining why that hook works, so clippers copy the reasoning rather than the clip
Specify aspect ratio, caption style and an acceptable clip length band in the rules page itself
State clearly what will be rejected: unapproved footage, misleading claims, wrong placements, missing disclosure
Keep the rules page stable once the campaign is live, since mid-campaign rule changes destroy trust with the pool faster than a low rate does
Review Submissions Against a Fixed Bar
Assign one internal owner for clip approval instead of letting it float between people
Approve or reject against the reference pack and the rules page, never against personal taste on the day
Give the rejection reason in one line, so the clipper can fix it rather than resubmit the same mistake
Track cost per verified view alongside any downstream signal you can honestly attribute
Promote the clippers who consistently clear the bar into higher volume, and let the rest self-select out
Features
AI Viral Moment Detection
Turns founder interviews, podcasts and launch streams into ranked candidate moments, so your approved footage library is built from what actually hooks rather than what an internal reviewer liked.
Batch Processing
One upload produces a batch of clips, which is how a small growth team keeps a clipper pool supplied with fresh source material every week.
Reference Packs That Set the Bar
Render the exact clips you want submissions to resemble. Showing the standard beats describing it, and it cuts rejection volume immediately.
Ten Caption Presets
Word-level burned-in captions in a fixed house style, so campaign output stays recognisably yours across dozens of independent clippers.
9:16, 1:1 and 16:9 Exports
One approved moment exported for every placement your rules page might allow, without a second production pass.
Approved Footage, Clearly Bounded
Publishing a pre-cut moment pack makes it obvious what clippers may use, which is the cheapest way to reduce rights and brand-safety problems later.
Frequently Asked Questions
Give the Pool Something Worth Clipping
Turn your long-form assets into an approved moment pack before the budget goes live. Upload a source video and OpenClip returns ranked, captioned, face-tracked clips ready to publish as the campaign standard.