Activewear LTV Benchmarks: Why Repeat Cadence Beats AOV Band Benchmarks
In activewear, a €70 legging brand and a €200 technical-outerwear brand can post similar 12-month LTV — because repeat cadence, not AOV, drives the number. Here are the benchmarks and what they mean for CAC.
Activewear LTV Benchmarks
Activewear LTV is driven more by 6-8 week repeat cadence than AOV band, unlike most apparel sub-verticals.
Activewear LTV benchmarks measure 12- and 24-month customer lifetime value across the sub-verticals that share a common repeat engine: leggings, sports bras, technical outerwear, performance running apparel, and running shoes. Unlike broader apparel, where AOV band is a reliable proxy for LTV, activewear cuts across price tiers — a €70 legging shopper and a €200 technical-outerwear shopper can land within 10-15% of the same 12-month value.
The reason is cadence. Wear-through on training kit, seasonal outerwear replacement, and program-driven buying cycles push most activewear categories into a 6-8 week median time-to-second-order. That frequency, not basket size, is what compounds into LTV.
If you sell activewear and you're segmenting LTV by AOV band, you're mis-reading your own cohorts. The €70 legging buyer and the €140 running-shoe buyer look identical on order value and completely different on repeat cadence — and cadence is what pays back your CAC.
The mechanism is physical. Training-intensity leggings and sports bras degrade on a measurable 6-8 week cycle for a customer running three to five sessions a week. Technical outerwear replaces on a seasonal trigger. Running shoes hit a mileage ceiling around month four to six. Each sub-vertical has a cadence engine, and it's rarely the price tag that predicts return rate.
12-month LTV, repeat cadence and second-order rate across activewear sub-verticals (European DTC, €1M-€15M brands)
| Sub-vertical | Typical AOV | Median time to 2nd order | 60-day repeat rate | 12-month LTV | Orders / customer / yr |
|---|---|---|---|---|---|
| Leggings & sports bras | €65-€85 | 6-8 weeks | 34-42% | €180-€230 | 2.6-3.2 |
| Mid-tier training apparel | €95-€130 | 8-10 weeks | 28-35% | €210-€260 | 2.1-2.6 |
| Technical outerwear | €180-€240 | 20-28 weeks | 12-18% | €220-€280 | 1.2-1.5 |
| Performance running apparel | €80-€110 | 5-7 weeks | 38-46% | €240-€310 | 2.9-3.6 |
| Running shoes | €120-€160 | 16-24 weeks | 14-22% | €190-€250 | 1.5-1.9 |
Notice what happens at the extremes. Leggings (€75 AOV) and technical outerwear (€210 AOV) land within €50 of each other on 12-month LTV — a 20% spread on a 3x AOV difference. Performance running apparel outperforms both at a mid-band AOV, because the race-calendar cadence pulls orders forward. AOV band, on its own, tells you almost nothing.
Median time to second order by activewear sub-vertical
What this means for segmentation and CAC
The practical consequence is that AOV-band segmentation misclassifies your best cohorts. A shopper who bought a €72 legging is not comparable to a shopper who bought a €72 co-ord set from a lifestyle brand — the legging buyer is on a wear-through clock. Segmenting by first-product category and time-to-second-order gives a much cleaner LTV curve than any AOV split will.
For CAC ceilings, this changes what you're allowed to spend. If your legging cohort hits second order at week seven with a 38% repeat rate, you can price your acquisition off the second-order contribution margin — not the first order. That typically buys you 30-50% more paid headroom than a blended-LTV model would allow, and it's how the category leaders outbid you on Meta.
AOV band ≠ LTV band in activewear
If you're forecasting activewear LTV off AOV tiers imported from a general apparel benchmark, you're probably under-pricing your leggings CAC by 30-50% and over-pricing your technical-outerwear CAC by a similar margin. Rebuild segmentation on first-product category and second-order cadence — the ordering flips.
Operationalising the 6-8 week window
Once you accept cadence as the driver, the whole retention stack aligns to the wear-through window. Post-purchase flows time to week 5-6 (not day 30), replenishment emails land before the customer starts shopping competitors, and subscription or auto-replenish offers become defensible for the sub-verticals — leggings, sports bras, running socks — where the cadence is tight enough to justify a locked-in cycle.
The cohorts you have to watch are the January and September intakes. New-year and back-to-training buyers over-index the acquisition month and then either compress the cadence (if the training habit sticks) or fall off entirely by week 12. Blending them into your rolling LTV report distorts the second-order curve for everyone else. Report them as their own cohort or you'll chase noise.
Frequently asked questions
Because activewear repeat is triggered by physical wear-through and training-cycle events, not by wardrobe refresh cycles. A €200 technical jacket replaces every two to three years; a €75 legging replaces every 6-8 weeks for an active user. Basket size and repeat frequency move independently, so an AOV band collapses two very different cadence engines into one column.
€180-€230 in the €1M-€15M European DTC band, driven by 2.6-3.2 orders per customer per year at a 60-day repeat rate of 34-42%. Brands with well-timed post-purchase flows and a strong second-product recommendation regularly push this to €260+.
Higher AOV per order compensates for lower frequency. A €210 AOV with 1.2-1.5 orders per year lands in the same €220-€280 12-month LTV band as leggings — but the CAC math is completely different, because you're waiting five to six months for the second order instead of six to eight weeks.
Second-order cadence, almost always. Blended LTV mixes cohorts with 6-week and 24-week cadences into a single number that describes none of them. Pricing acquisition off predicted second-order contribution — at the cohort's actual repeat window — gives you a defensible ceiling per channel and per sub-vertical.
Their own cadence class. Running shoes replace on a mileage ceiling (roughly 500-800 km) that translates to a 4-6 month cadence for regular runners. That breaks the 6-8 week activewear rule and forces a different retention model — closer to a considered-purchase category than to leggings.
By first-product category and time-to-second-order. Group buyers whose first order was a legging, a sports bra, a running short, a technical shell, or a shoe — then split each group by whether they returned inside or outside the sub-vertical's median cadence window. That gives you four to six cohorts that actually behave differently.
When the sub-vertical's cadence is tight enough (sub-10 weeks) and the SKU is consumable-adjacent — leggings, sports bras, running socks, base layers. Technical outerwear and shoes don't fit; the cadence is too long and the purchase too considered for a locked cycle to feel like a deal rather than a trap.
Yes. January and September acquisition volumes typically run 40-70% above the rolling monthly baseline, and their retention curves diverge sharply — the ones who stick compress cadence; the ones who don't churn hard by week 12. Blending them flattens the second-order signal for every other cohort in your report.
It shows up as headroom. If you can defend a CAC based on a 7-week second-order signal — not a 12-month blended LTV — you can bid 30-50% higher on prospecting and still hit payback. That's the gap between the brands winning activewear on paid and the ones getting squeezed out.
Second-order rate at week 10 running more than 5 percentage points below the 60-day baseline, combined with a drop in email engagement in the 4-6 week window. That usually means either a product-quality issue (wear-through is happening slower than expected — unusual) or a habit break in the underlying training cycle. Both need different fixes.
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