Sagum

8+ years growing brands on KPIs, now with AI

Performance Marketing for DTC Activewear Brands That Are Ready to Scale Past the Plateau

You're doing 4–5x ROAS on a good month. Creative fatigue hits, CPMs spike, and growth stalls. We build the paid media, creative systems, and AI-powered analytics that get activewear brands past that wall, and keep them there.

8+ years growing DTC brands · Google Ads, Meta & TikTok partner · Proven ecommerce results

Google Ads PartnerMeta Ads PartnerTikTok Marketing Partner

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The Challenge

Marketing a DTC Activewear Brand Is a Different Problem Than Most Agencies Understand

You're not selling something people need. You're selling something they want to become. Every purchase is an emotional decision first, a rational one second. The woman buying your leggings isn't thinking about thread count; she's thinking about who she is when she wears them. That distinction changes everything about how your ads, creative, and messaging have to work.

Your competitive set isn't just the 50 other DTC activewear brands bidding on the same Meta audiences. It's Lululemon's creative budget, Alo's influencer roster, and Gymshark's community playbook. Billion-dollar incumbents set the visual standard and have locked up the best macro influencers. You're fighting for the same micro-influencers, the same Meta placements, and the same Millennial and Gen-Z women who are being served 40 activewear ads a day.

The unit economics are brutal at scale. Your AOV sits somewhere between $85 and $130 on a single legging or sports bra, higher if you've cracked the bundle and set merchandising. Your 12-month LTV is $200–$350 unless you've built a loyalty loop that drives a second and third purchase. That means your first-purchase economics are almost never profitable on their own. The margin lives in cohorts that come back. And the only way to build those cohorts is to keep acquisition cost below $40–50 per new customer while your CPMs are climbing.

Then there's creative fatigue. On Reels and TikTok, a winning ad can be exhausted in days, not weeks. The brands that win this category are the ones running a high-velocity creative system, testing new angles every week, feeding the algorithm fresh UGC, and pulling winners fast. The brands that lose are the ones running the same three creatives for 60 days and wondering why ROAS is falling.

January is your cheapest acquisition window: CPMs run about 22% below annual average, and resolution-driven purchase intent is at its peak. Q4 is your revenue peak but your most expensive media environment, with CPMs jumping 41% in November. If your agency is running a flat monthly budget strategy, you're systematically overpaying in November and underinvesting in January. That's not a small error. It's the difference between a good year and a great one.

The reality of marketing a Activewear Brands business

The Opportunity

The Activewear Market Is Still Growing, but Share Is Concentrating Fast

As of early 2025, activewear apparel sales in the US are up 2% year over year while non-active apparel is down 2%. The category is growing. But the brands capturing that growth aren't the ones with the best product. They're the ones with the best creative systems, the most disciplined media buying, and the tightest attribution.

About 49% of gym-going Americans buy new activewear every quarter. Your end consumer repurchases fast. The opportunity isn't just to acquire them once, it's to build the email and SMS flows that turn a $110 first order into a $350 twelve-month LTV customer. Most activewear brands are leaving that repeat-purchase revenue on the table because their Klaviyo setup is basic and their post-purchase sequence stops after the shipping confirmation.

On the paid side, Google Shopping and Performance Max are capturing 'best leggings for running' and 'squat-proof leggings' queries at 3.4–4.5x ROAS, high-intent searches where someone has already decided to buy and is just choosing the brand. Many activewear brands are underinvesting here relative to Meta, which means there's uncontested high-intent demand available right now.

TikTok is the most underpenetrated channel for brands that haven't cracked it yet. Direct ROAS is lower (1.7–2.8x), but TikTok-driven awareness converts downstream through Meta retargeting and branded search in ways that blended MER captures and last-click attribution misses entirely. Brands building TikTok creative systems now are seeding the pipeline for Q4 and next January's acquisition push.

The window to build a defensible position in DTC activewear is narrowing. The brands doing it now, with AI-powered creative testing, proper attribution, and channel-specific strategies, are pulling away from the ones still running the same Meta playbook they used in 2021.

What Most Get Wrong

What Most Activewear Brands (and the Agencies They Hire) Get Wrong

  • Running creative on a monthly refresh cycle instead of a weekly testing cadence

    Creative fatigue in activewear hits in days, not weeks. A winning Reels ad can be exhausted before your agency has even reviewed performance. Brands running one creative batch per month are systematically leaving ROAS on the table while their CPMs climb.

  • Treating Meta and TikTok as the same channel with the same content

    TikTok rewards raw, native-feeling UGC: the same polished creative that converts on Instagram Stories looks like an ad on TikTok and gets scrolled past. Agencies that repurpose Meta assets to TikTok are burning budget on content that the algorithm actively deprioritizes.

  • Ignoring Google Shopping and PMax while over-indexing on Meta prospecting

    The shopper searching 'best leggings for hot yoga' on Google has already decided to buy. They're just picking a brand. Activewear brands that haven't built out Shopping campaigns are ceding 3.4–4.5x ROAS demand to competitors while paying higher CPMs to find cold audiences on Meta.

  • Flat monthly media budgets that don't move with the activewear calendar

    January CPMs run 22% below annual average with peak resolution-driven intent. November CPMs jump 41%. A flat budget strategy systematically overpays in Q4 and underinvests in January: the cheapest, highest-intent acquisition window of the year.

  • A Klaviyo setup that stops at the welcome series and abandoned cart

    For a non-subscription activewear brand with a 20–30% repeat purchase rate, the margin lives in the second and third order. Brands without post-purchase education flows, replenishment nudges, and loyalty sequences are acquiring customers at a loss and never recovering it.

Why Now

Why the Next 90 Days Are the Right Time to Build This System

Q4 is the period that makes or breaks an activewear brand's year. It accounts for roughly 42% of annual ecommerce revenue for apparel brands, and CPMs spike 41% in November. The brands that win Q4 don't build their creative system in October. They build it in August and September, testing angles for 6–8 weeks before the expensive media window opens so they already know which creative converts before CPMs peak.

Most of your competitors are still running the same playbook: a Meta agency that refreshes creative monthly, a Klaviyo setup that was configured two years ago, and Google campaigns that haven't been restructured for Performance Max. They are not testing at the velocity that AI-powered creative systems now make possible.

Here's what's changed: AI tools now let a disciplined operator generate and test five times more creative angles per week than was possible 18 months ago, without five times the production budget. That means a brand willing to build the system now can identify its best-performing Q4 creative angles before its competitors have even started testing. The first-mover advantage in AI-powered creative testing is real, and it's available right now to brands that act before the Q4 media window opens.

January is the other window. CPMs are at their annual low, resolution-driven purchase intent is at its peak, and most activewear brands are either in post-BFCM recovery mode or running stale creative. A brand with a fresh creative system and a properly structured acquisition campaign in January acquires customers at the lowest cost of the year, customers who, with the right email and SMS sequences, become the repeat buyers that define LTV.

The brands building these systems now (AI-powered creative testing, proper blended attribution, channel-specific strategies for Meta, TikTok, and Google) are the ones that will own their corner of the activewear market in 2026. The ones waiting are funding that growth for their competitors.

The Mechanism

How AI Gives Activewear Brands a Concrete Competitive Edge

Real productivity, not AI theater. Here's where it actually moves a number for activewear brands.

01

Creative

What AI does: AI-assisted creative production and systematic angle testing: generating multiple hooks, copy variations, and visual concepts per week, then running structured tests to identify winners before scaling spend behind them.

The result: Brands can test 5x more creative angles per week without a proportional increase in production cost, finding the message that converts before creative fatigue sets in rather than after ROAS has already declined.

Why it matters here: In activewear, where a winning Reels ad can fatigue in days and the purchase decision is emotional, the brand with the fastest creative iteration cycle wins. Competitors running monthly creative refreshes are systematically slower, and in paid social, slower means more expensive.

02

Analytics

What AI does: AI-powered blended attribution modeling that reconciles Meta's reported ROAS against actual revenue in Shopify, catches pixel misfires or attribution gaps (the kind that inflate reported ROAS by 20–40%), and surfaces which channels are truly driving new customer acquisition versus retargeting existing buyers.

The result: Accurate numbers to make budget decisions from, so when Meta reports 4.2x ROAS and Shopify tells a different story, you know which one to trust and why.

Why it matters here: Activewear brands running TikTok for top-of-funnel awareness and Meta for conversion are especially vulnerable to attribution errors: TikTok's contribution disappears in last-click models, leading brands to cut the channel that's actually seeding their Meta conversions.

03

Social Media

What AI does: AI-assisted UGC sourcing, whitelisting workflow management, and TikTok-native content adaptation: identifying which creator content formats are performing in the activewear category and systematically building a pipeline of whitelisted creator ads rather than one-off influencer posts.

The result: A steady pipeline of native-feeling performance creative for both Meta and TikTok that runs as paid media, driving lower CPAs than brand-produced content because it doesn't look like an ad.

Why it matters here: Influencer whitelisting consistently delivers lower CPAs than traditional paid social in apparel, but most brands treat influencer content as a brand play, not a performance channel. Running whitelisted creator content as paid ads through the brand's account is the structural advantage that separates scaling activewear brands from stagnating ones.

04

Email

What AI does: AI-optimized Klaviyo flows: post-purchase sequences timed to the activewear repurchase cycle (90–120 days for leggings, 60 days for sports bras), predictive send-time optimization, and AI-generated subject line and copy testing across segments.

The result: Email and SMS becoming a meaningful percentage of revenue, not just a welcome series and an abandoned cart flow, but a retention engine that drives the second and third purchase where the actual margin lives.

Why it matters here: For a non-subscription activewear brand with a 20–30% repeat purchase rate and a 12-month LTV of $200–$350, the difference between a one-time buyer and a three-time buyer is roughly $150–$200 in revenue. AI-optimized retention flows are the highest-ROI investment available to brands that have already solved acquisition.

05

Conversion Optimization

What AI does: AI-driven analysis of product page and collection page performance: identifying where fit anxiety and returns hesitation are causing drop-off, testing size guide formats, social proof placement, and bundle merchandising to lift AOV and reduce the 24% return rate that destroys margin in apparel ecommerce.

The result: Higher conversion rate on existing traffic and a higher AOV through better bundle and set merchandising, turning a $95 single-legging purchase into a $180 set purchase more often.

Why it matters here: In activewear, 58% of shoppers bracket (buy multiple sizes to return most of them). Brands that reduce fit anxiety through better on-page experiences (size guides with real model measurements, video try-ons, detailed fabric descriptions) convert more visitors and return fewer orders, both of which flow directly to margin.

How AI gives Activewear Brands an edge

Ready to see what this looks like for your activewear brands business?

No obligation. A senior strategist will show you exactly where the wins are.

The advertising strategy for a Activewear Brands business

The Strategy

What a Purpose-Built Activewear Marketing Strategy Actually Looks Like

The governing KPI for an activewear brand is blended ROAS, or more precisely, Marketing Efficiency Ratio (MER): total revenue divided by total ad spend, across every channel. Last-click attribution will lie to you in this category because TikTok seeds awareness that converts on Meta, and Meta retargeting gets credit for sales that email sequences actually drove. Every strategic decision gets made against the blended number, not the channel-reported one.

Channel architecture for a DTC activewear brand at $500K–$5M in annual revenue looks like this: Meta (Instagram and Facebook) is the workhorse: Advantage+ Shopping Campaigns for the catalog, manual prospecting campaigns for new creative angles, and a tight retargeting structure that doesn't waste spend on people who bought last week. Meta gets the largest share of paid budget, targeting 3–4x blended ROAS as the floor.

TikTok runs as a top-of-funnel awareness and discovery channel, fed by a steady pipeline of native UGC and whitelisted creator content. Direct ROAS targets are set lower here (1.7–2.5x) because TikTok's contribution shows up downstream in branded search and Meta retargeting, not in TikTok's own attribution window. The brands that cut TikTok because the in-platform ROAS looks weak are cutting the channel that's filling their Meta funnel.

Google Shopping and Performance Max capture high-intent search demand ('best squat-proof leggings,' 'seamless sports bra,' branded queries) at 3.4–4.5x ROAS. This is often the most underinvested channel for activewear brands that grew up on Meta. A properly structured Shopping campaign with optimized product titles, clean feed data, and a segmented PMax structure is frequently the highest-ROAS channel in the account.

Email and SMS (Klaviyo) is where the retention math gets solved. The core flows (welcome series, abandoned cart, post-purchase education, replenishment nudge at 90 days, win-back at 180 days) are the infrastructure that turns a 25% repeat rate into a 35% repeat rate. That 10-point improvement on a $1M revenue brand is worth more than most paid media optimizations.

Budget pacing is not flat. January gets a heavier allocation: CPMs are at their annual low and resolution-driven intent is at its peak. August and September get investment in creative testing so the winning angles are proven before Q4 CPMs spike. November and December get the highest absolute spend but against a creative system that's already been validated, not a creative system being built under pressure.

Creative is not a design function. It's a performance function. Every creative brief starts with a hypothesis about what emotional trigger or functional claim will convert for a specific audience segment. Every piece of creative gets tested with a defined success metric. Winners get scaled; losers get killed fast. The creative calendar runs on a weekly cadence, not a monthly one.

The one number that governs this

Governing KPI: Blended ROAS / MER: every channel decision, budget allocation, and creative test is measured against total revenue divided by total ad spend. Healthy activewear brands target 3–4x blended ROAS on paid channels, with new customer CAC below $40–50.

How We Help

Here's Exactly How We'd Run This for Your Activewear Brand

We don't hand you a strategy deck and disappear. We build and run the system (paid media, creative, email, and attribution) as an extension of your team. Here's how we'd sequence the engagement for an activewear brand:

Attribution Audit & Blended MER Setup

Before we touch a single campaign, we fix your numbers. We audit your pixel setup, reconcile Meta-reported ROAS against Shopify actuals, and build a blended MER dashboard so every budget decision going forward is made against accurate data, not inflated channel-reported numbers.

Meta Ads (Advantage+ & Manual Prospecting)

We restructure your Meta account around Advantage+ Shopping Campaigns for the catalog and manual prospecting campaigns for new creative angle testing. Retargeting is tightened to avoid wasting spend on recent buyers. ROAS floor targets are set at 3–4x blended, not the number Meta reports.

TikTok Ads & UGC Whitelisting

We build a TikTok creative system fed by native UGC and whitelisted creator content, set realistic in-platform ROAS targets (1.7–2.5x), and track TikTok's downstream contribution to Meta conversions and branded search, so you can see what the channel is actually worth.

Google Shopping & Performance Max

We build or restructure your Shopping campaigns with optimized product feed data, segmented PMax structures, and bid strategies tuned to capture 'best leggings for [activity]' and branded queries at 3.4–4.5x ROAS: the high-intent demand most activewear brands are underserving.

AI-Powered Creative Testing

We run a weekly creative testing cadence: generating multiple hooks, copy angles, and visual concepts using AI-assisted production, then running structured tests to find winners before scaling spend. You get 5x the creative iteration velocity without 5x the production budget.

Klaviyo Email & SMS Retention Flows

We build or rebuild the core retention infrastructure: welcome series, abandoned cart, post-purchase education, 90-day replenishment nudge, and 180-day win-back. The goal is moving your repeat purchase rate from the industry average of 20–25% toward 30–35%, where the margin actually lives.

Seasonal Budget Pacing

We build a budget calendar that front-loads January (low CPMs, high intent), invests in creative testing in August–September, and enters Q4 with proven creative rather than a creative system under construction. No flat monthly budgets.

Who's Behind This

Who we are, and what makes us different

Sagum is a performance marketing agency founded in January 2017 in St. George, Utah. We've spent 8+ years growing real brands and being judged on KPIs, not vanity metrics.

We deliberately limit how many clients we take so each one gets senior attention. We treat your numbers like our own, we never run generic playbooks, and your strategy is built for your business, because shouldn't your brand's marketing be custom to your brand?

Sagum.ai is our AI arm: the same proven operators now build AI into the work wherever it creates real edge, not as theater, but as leverage applied with discipline.

  • 8+ years growing brands on performance KPIs, not vanity metrics
  • Limited client roster, with senior attention on every account
  • An extension of your team; your success is tied to ours
  • Custom strategy per brand, never a generic playbook
  • AI built in where it moves a number; judgment over hype

Sagum is a performance marketing agency that's spent 8+ years growing brands by treating their numbers like our own. We take on few clients, never run generic playbooks, and now build AI into the work wherever it creates real edge, not hype. Your strategy is built for your business, and our success is tied to yours.

The Sagum team, senior operators behind the strategy
Sagum roughly doubled our bottom line. They treat the work like it's their own business.
Rachel Nilsson, CEO, RAGS

Proof

$255k → $555k in 2 months, ROAS 2.9x → 5.5x+

Nickel & Suede

Challenge

Nickel & Suede, a DTC accessories brand, had hit a performance ceiling on paid social: their creative system wasn't keeping pace with the velocity the algorithm demanded, and ROAS had stagnated well below what the business needed to scale profitably.

What we did

We rebuilt their Meta and TikTok creative systems from the ground up, running a high-cadence testing process to identify the angles and formats that converted, then scaling spend aggressively behind the proven winners.

Result

Revenue went from $255K to $555K in two months. ROAS climbed from 2.9x to 5.5x (peaking at 7.95x) while site conversion rate improved 34%. The same creative-led, performance-disciplined approach is what we bring to activewear brands ready to scale past their plateau.

Nickel & Suede results
Revenue
$255k → $555k (2 mo)
ROAS
2.9x → 5.5x+ (peak 7.95x)
Site conversion
+34%
See more results at sagum.com/case-studies →

Ready to Build the Creative System and Paid Media Engine Your Activewear Brand Needs to Scale?

No obligation. We'll review your current paid media setup, attribution, and creative cadence, and give you an honest assessment of where the growth is and what it would take to capture it. Built around your brand, not a template.

Google Ads PartnerMeta Ads PartnerTikTok Marketing Partner

Sagum · January 2017 · St. George, Utah · 8+ years

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Activewear Brand Marketing Agency | Sagum.ai · Sagum.ai