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Deploy 2 Type of Campaigns
Rate Based
Set your CPM $X/1,000 Views
Invite Your Creators
Tier Based
Set your Milestones by Views
Invite Your Creators
FAQ
Commonly Asked Questions
Performance Collab charges a 5% platform fee, applied only to amounts actually paid out to creators (this includes both the guaranteed Base Pay and any Performance Payouts).
Standard payment processing fees (e.g., Stripe or credit card fees) also apply — these are external and outside of our control.
Any unused funds from a campaign are automatically refunded to the agency or brand. No platform fees are charged on unused amounts — you only pay the 5% fee on what’s actually paid out to creators.
Payouts are triggered based on performance metrics like views or reach. You set the rate (e.g. $10 per 1,000 views), and creators are paid automatically as they hit milestones.
Yes. Performance Collab is designed to support the relationships you’ve already built. Invite your existing creators to campaigns in just a few clicks. This is not a marketplace.
Campaigns are typically tied to metrics like video views or reach, depending on the platform and type of content. You can choose the performance metric when setting up your campaign.
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On TikTok and YouTube, the metric is always views, as these platforms primarily focus on video-based content.
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On Instagram, you can select views (for Reels) or reach (static posts or carousels).
Creators submit proof of performance directly in the platform, and once verified, payouts are triggered automatically based on the milestones they hit.
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No account connection is required.
For view-based campaigns, creators simply submit the public URL of the post — our system verifies the views directly and automatically triggers payouts.
For reach-based campaigns, creators upload a screenshot or screen recording of their post analytics for review and payout verification.
Yes. You can invite multiple creators, set different payout tiers, and track all performance in one dashboard — whether it’s a single campaign or multiple campaigns running concurrently.