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2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
My core strategy is to do everything through organic. To get Curiosity Quench to 100,000 users was just finding a template that I can repeat over and over and over again — a very funny simple 2x2 images caption template, it's 6 seconds long, and having the pinned comment be go download and try our app... I posted the 2x2 template over now 300 times on two different accounts and they've driven 60 to 70,000 signups.
Find One Six-Second 2x2-Image Template And Repeat It Three Hundred Times To Hit 100K Users
Jack got 100K users from a single 6-second 2x2-image template posted 300+ times across accounts, with the CTA hidden in the pinned comment instead of the video. Once a format wins, don't get creative — recreate the exact same video and milk it until it stops converting. Engagement-bait captions (mixing up astrology/astronomy on purpose) farm comment volume the algorithm rewards.
The concept behind it is that through incrementality testing you are able to calculate sort of a score between what you actually see as direct tracked data and what was more hidden — maybe you over-attribute to search and under-attribute to social ads that come earlier in the funnel. You use that score to modify your statistic model.
Media Mix Modeling Needs Incrementality Calibration to Be Actionable
Raw media mix models have a known flaw: they assume a static baseline and can't fully account for cross-channel influence. Deezer's approach is to use incrementality tests — geolift, conversion lift, brand lift — to calculate adjustment scores for each channel, then apply those scores to the MMM. The result is a calibrated model that better reflects the true contribution of upper-funnel spend on final conversion events.
There's a play for whatever you're stuck on.
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