Launchpoint Automates Creator Marketing Operations at Scale
The New York startup processes fraud detection, payouts, and compliance for enterprise brands spending up to $500K monthly on creator campaigns.

Launchpoint Automates Creator Marketing Operations at Scale
A New York-based startup is attempting to automate the operational burden of enterprise creator marketing campaigns, from fraud detection to tax documentation. Launchpoint, founded in January 2025 by former investment banker Tristan Rhee, now serves more than 300 companies with a 20-person team, according to reporting by NetInfluencer.
The platform's clients include Uber, Capital One, Unilever, and C4 Energy — brands with monthly creator marketing budgets ranging from $20,000 to $500,000. Rhee spent over a year developing the platform before launching the productized version roughly ten weeks ago.
Why it matters
Creator marketing consumes roughly 50% of human attention but receives only 2% of global advertising spend, according to Rhee's estimates. The gap persists partly because managing creator campaigns at scale requires extensive manual work: recruiting talent, negotiating contracts, tracking performance, detecting fraud, and processing payments. Launchpoint's approach suggests that automating the administrative layer could allow brands to deploy creator budgets with infrastructure similar to programmatic advertising platforms.
Automating compliance while preserving creative judgment
Launchpoint's design philosophy centers on removing humans from tasks that don't require judgment. The platform automates compliance, payouts, view tracking, tax forms, and initial negotiations. Creative decisions — which creators match a brand, what content formats will perform, how to translate marketing goals into briefs — remain human-managed.
"Let AI do all of the stuff nobody wants to do," Rhee told NetInfluencer. "We keep a lot of the humans in the loop on the creative work."
The platform operates primarily through a secondary-account UGC model, where creators post five to seven times weekly on dedicated brand accounts rather than their primary profiles. Compensation runs $1 to $2 per thousand views, with individual videos costing $30 to $50. Because social algorithms now distribute content based on performance rather than follower graphs, a zero-follower account can reach the same audience as an established influencer if the content resonates.
This uniform structure makes systematic automation possible. Launchpoint reports that over 50 brands generated more than 100 million views each through the platform in the past month at a sub-$3 CPM.
Fraud detection as infrastructure
View-based compensation creates incentives for creators to purchase fake engagement. Rhee estimates that nearly half of UGC views reported on competing platforms are bought rather than earned.
Launchpoint runs nine detection signals on every video, including view arrival timing, comment patterns, engagement spikes, and viewer geography. The company says it blocked more than $500,000 in fraudulent creator payouts in a single month. Rhee argues this level of systematic detection cannot be built by services firms managing campaigns manually.
The platform charges no subscription fee, instead taking a percentage of creator payouts. Rhee says Launchpoint rejects roughly 75% of companies that attempt to list on the platform because they don't pay creators adequately.
Building the organic-to-paid pipeline
Launchpoint holds Instagram and TikTok business partner status, allowing it to access hook rate data from organic posts before promotion. Content exceeding a 50% hook rate becomes a candidate for paid placement, tested before ad budget is committed.
Rhee's broader argument is that brands mismanage creator programs by treating them as episodic campaigns rather than building ongoing rosters of proven performers. The platform is designed to make both individual campaigns and long-term creator relationships manageable without proportional headcount increases.
Details were first reported by NetInfluencer.
This is an original analysis by the Omega editorial team. Source reporting: Automation Watch.
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