Growth idea action plan
Creator-led RPM distribution blitz
Launch 30–50 micro-creators simultaneously on a pay-per-view (RPM) model instead of flat fees, then kill underperformers and scale winners into paid ads.
Why this can grow a startup
Paying per view instead of flat fees aligns creator incentives with actual reach, so you only pay for distribution that works. Launching many creators at once lets the algorithm — not you — pick winners, and even zero-follower accounts can hit viral reach because platforms reward content quality over account size. The key B2B insight is framing the product as a life upgrade native to how people scroll, not as enterprise software. Turning organic winners into paid ads compounds the ROI further.
Ian's take
From scaling consumer platforms across MENA and Southeast Asia, my default is to distrust growth work that only looks good in a slide. Short-form content only compounds when the format teaches the market to repeat the idea. I would look for a simple hook, a visible before-and-after, and a repeatable angle that can survive more than one post. I would run it small enough to learn quickly, then only scale the parts that real users repeat, save, reply to, or buy from. For this tactic, I would watch 70M users before putting more time or budget behind it.
Action plan
- Define one narrow startup segment where creator-led rpm distribution blitz can create a measurable lift.
- Turn the tactic into one offer, page, campaign, or workflow for the TikTok and YouTube channel.
- Use the evidence from reddit.com to set the first version of the message, format, and audience.
- Launch a small test for 7 to 14 days with one success metric: 70M users.
- Review the result, keep the winning message, remove weak variants, and turn the learning into a repeatable growth playbook.
Source-backed example
Cluely (1B views across 300+ creators at under $1 CPM), Gamma (70M users at $0 CAC using B2B-to-consumer angle 'finish your homework in 30 seconds'), Tabs Chocolate (45 creators, scaled to exit). Documented by shoezXwako on r/SaaS who replicated the approach for a B2B AI tool.
Source: reddit.com
Last checked: March 20, 2026
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