How Biostime scaled UGC across four channels without a single new hire
A global infant-nutrition brand replaced manual sourcing with a repeatable UGC engine - and let ad performance follow.
Manual sourcing
creator-by-creator
Repeatable engine
creative on tap
Faster
creative testing cycles
Consistent
asset quality across batches
4 channels
TikTok Shop · Amazon · IG · TikTok
Zero
net new hires required
A plateau caused by pace, not creative
Biostime was running an active commerce program across TikTok Shop, Amazon, Instagram, and TikTok - but ad performance kept plateauing before the team could iterate on winners.
Manual creator sourcing was the bottleneck: too many hand-offs, too much back-and-forth, and no way to scale output without adding headcount for a workload that was inherently variable.
Three moves to turn creative into a system
- ( 01 )
Swapped one-off outreach for a reliable creator pool
Rather than sourcing creator-by-creator for each campaign, Biostime tapped JoinBrands' vetted network - same brief, more candidates, faster picks.
- ( 02 )
Used pay-on-approval to test more styles in parallel
Because the cost model removes downside risk on new creators, the team stopped betting on a single proven contributor per cycle and started running parallel style tests.
- ( 03 )
Fed winners straight into the ad rotation
The best-performing UGC replaced older creative in the paid rotation, driving a noticeable lift in ad performance the team credits directly to the new content.
We saw faster creative testing cycles, more consistent asset quality, and a noticeable improvement in ad performance once we swapped in the new content.
Example videos from the campaign
A sample of the JoinBrands creator content Biostime used to scale their UGC engine. Swap each placeholder for a TikTok, Instagram, or YouTube embed - or an MP4.
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