Library / Ecommerce / Gymshark
G
Gymshark
Strong fit
Meta ads plan · estimated

How Gymshark should run Meta ads.

A brand built in the feed, not the search bar. The athletes are the targeting, so the plan is a creative engine first and an ad account second.

Industry Fitness apparel Model Ecom · D2C Region UK · Global Site gymshark.com
Built by a former Meta growth leadAnalysis built with paid.social, the ad-planning tool from Jonas, a former Meta growth lead
Our read

The creative is the audience. Nobody searches for a legging brand they have never heard of, so Gymshark was built the only way it could be: athletes and creators wearing the product in the feed until the community became the moat. On a ~60% apparel margin the break-even sits near 1.7x, which leaves real room to spend on consideration. That room is not for clever targeting. It is for volume of native, athlete-led creative that Meta can distribute broad.

So the paid-social job is to take the best of what the Athletes and the community already make, and buy reach on it. Broad targeting, the catalogue underneath, and a steady feed of UGC and drop content on top. Judge it on blended contribution across prospecting and retargeting, and let the choreographed drops do the urgency that a static sale price never will.

The economics we assumed
Est. AOV
~£130
Est. gross margin
~60%
Break-even ROAS
~1.7×
Blended target
~2.5×
Real: revenue £607m (FY24), up from £556m (FY23); valued over £1bn (2020, General Atlantic); founded 2012 in a Birmingham garage. Estimated: AOV ~£130 (third-party estimate, not disclosed), ~60% gross margin (FY23 figure), so break-even ROAS near 1.7x. You target a blended ~2.5x that leans on repeat and the community, not a single prospecting ad. Our estimates from public figures, not Gymshark's data.
Set it up
Main campaign
Advantage+ Shopping off the catalogue for the efficient core, plus a broad prospecting campaign whose job is to distribute athlete and UGC video. Retargeting refills from browsers and drop-waitlists.
Objective
Sales, optimised for Purchase, server-side via the Conversions API. Feed the catalogue with clean stock and price so dynamic ads carry the mid and lower funnel.
Targeting
Broad. The Athletes and the creative do the targeting; interest stacks only fragment the learning. Retargeting off browsers, add-to-carts and past drops.
Placements
Advantage+ (all placements). Reels and Stories carry the athlete video natively.
Creative
Volume is the lever. A constant feed of athlete training clips, UGC, and drop countdowns, refreshed before frequency fatigues. See below.
Budget
Weighted to catalogue and retargeting for efficiency, with a real prospecting line to keep the pool full. Scale on blended contribution, not per-ad ROAS.
The first three weeks
1
Turn the community into ads. Pull the strongest athlete and UGC clips into a broad prospecting campaign, catalogue running underneath, retargeting live. Launch with volume, not one hero video.
2
Read blended, kill on the hook. Judge account-level contribution across prospecting and retargeting. Cut cold video under 15% three-second view rate or 0.6% outbound CTR; the hook is not carrying.
3
Scale winners into the next drop. Add budget to creative that clears blended ~2.5x, and time a spend push to the restock so the countdown does the urgency.
Creative angles

Athletes first. The catalogue handles the lower funnel. The two concepts below are what a price-comparison shopper cannot get elsewhere: the community, and the drop.

gymshark.com
Sponsored
Sweat is our sport. Shot by the athletes who train in it.
gymshark.comShop
VideoCommunity
"Sweat is our sport." Real training, shot by a real athlete in the Vital range.
The athlete is the targeting. Native gym footage from a face the audience already follows outperforms studio product video, and it is the one thing a marketplace can never copy.
gymshark.com
Sponsored
The restock drops Sunday, 6pm. Last time it sold out in an hour.
gymshark.comShop
StaticDrop urgency
"The restock drops Sunday, 6pm. Last time it sold out in an hour."
A choreographed drop manufactures buy-now behaviour that a permanent sale price never will. Retarget the waitlist and browsers with a real countdown.
Before you spend

How we built this plan

We modelled the economics from Gymshark's published revenue and apparel-margin benchmarks. The AOV, margin and ROAS figures are estimates, not Gymshark's data, meant to show what a creative-led, community-first plan looks like on Meta and what "good" is.

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See the creative
Want their actual ads, not just the plan?
We broke down the creative principle behind Gymshark’s live Meta ads: the hook, the framework, and how to adapt it.
See Gymshark’s ad breakdown →
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