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🎵 This song is dedicated to every subscription business stuck between subscribe optimization (too few events) and trial optimization (too many churners) 🎵 https://lnkd.in/dnVyxPAa

Most scaled ecommerce teams have fixed how the business measures performance. MMM, MTA, incrementality. The works. ♾️ Meta, 🔍 Google, and ⏲️ TikTok can still be optimising on short-window purchase proxies while repeat, loyalty, and returns show up weeks later. The gap is not another reporting tab. It is what the platforms are learning on inside the ad account. We just published Part 1 of a two-part essay on that split, using Gymshark’s public story as the frame. ℹ️ Gymshark is not a Churney customer. They are still one of the most useful public walkthroughs of the problem: measurement maturity for the marketing org, short-window proxies still driving platform learning. Their Head of Digital Marketing has been unusually open about moving past Ads Manager. If that sounds like your world, Part 1 is worth a quick read: Gymshark fixed measurement. What is Meta still learning on? https://lnkd.in/dCjEWh_p #PredictiveLTV #PerformanceMarketing

You fixed measurement. MMM still can't optimize weekly in Ads Manager. pLTV can. Daily predicted value in Meta and Google so you bid on repeat drops, not just drop-day winners. See how Churney activates pLTV.

Two shoppers, same drop day cart. One never comes back. One stacks repeat drops through day 90. Churney sends predicted LTV to Google and Meta so you bid for durable revenue, not launch-week noise. See how.

On drop day, every new customer looks like a win to Meta and Google. Same cart - one refunds, one repeat-buys. Churney predicts pLTV and sends it to Google and Meta. See how it works.

Same drop day. Same $68 cart. One receipt: refund, $0 total value. The other: repeat drops, restocks, tier rewards - $319 total. Churney predicts who pays off and sends pLTV to Meta and Google. See the breakdown.