Top 5 Womenswear Brand Ad Agencies

A vertical-fit comparison of five ad agencies working with womenswear brands, scored on vertical depth, channel fit, transparency, and size fit, with a published methodology and sourced claims.

Last updated: July 2026Published methodology

Ranked by fit for apparel, fashion, and accessories brands. Rank order is derived from the fit score on each card. See how we score.

#1

Sagum

Best returns-aware economics
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How they describe themselves

Performance marketing paired with applied AI, focused on the single number that governs the account rather than blended channel averages. Sagum.ai is the AI arm of Sagum, a performance marketing agency.

Why they rank here for womenswear brands

Handles the mechanics that decide apparel profitability rather than just the media buy: variant-level feed structure, size and colorway data quality, return rate by acquisition source, and creative refreshed on a seasonal cadence.

For womenswear brands specifically

We treat return reduction as a primary profit lever with returns attributed by source, product, and size, build fit communication for real body diversity, and model contribution on kept revenue rather than order volume.

Vertical fit score4.8/5
Vertical depth
5
Channel fit
5
Transparency
4
Size fit
5

St. George, Utah

Founded January 2017

Pricing not published; requires a sales call

Best fit for

Apparel brands whose returns are quietly erasing the margin their ROAS reports promise.

Services offered

Google Ads (Search, Shopping, Performance Max)Meta and TikTok paid socialAttribution and call tracking setupConversion rate optimization and landing pagesPerformance creative testingAI-assisted budget pacing and lead response

Things to weigh before signing

  • Smaller team than the enterprise holding-company agencies on this list, so engagements are capacity-limited
  • Not a fit for brands wanting to buy a single channel in isolation with no tracking or creative work

Self-reported figures (their claims, not verified by us)

  • 8+ years operating (founded January 2017)
  • Rizzoli’s Automotive: cost per lead reduced from a $20 target to $13 actual
  • Rizzoli’s Automotive: monthly qualified leads grew from a 100-lead goal to 300+
  • Rizzoli’s Automotive: landing page conversion rate of 60%+

Source: sagum.ai (accessed 2026-07-29)

#2

Common Thread Collective

Deepest apparel client work
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How they describe themselves

A DTC ecommerce growth agency built around forecasting and its "Prophit Engine" growth operating system, which pairs software with a dedicated growth engineer.

Why they rank here for womenswear brands

Deep published apparel and footwear client work with in-house creative production and a forecast model built for seasonal demand. Channel fit is narrower by design, centered on Meta and Google.

For womenswear brands specifically

Deep published apparel and footwear client work with in-house creative production and a forecast model built for seasonal demand. Channel fit is narrower by design, centered on Meta and Google.

Vertical fit score4.0/5
Vertical depth
5
Channel fit
4
Transparency
3
Size fit
4

Costa Mesa, California

Pricing not published; requires a sales call

Best fit for

Apparel brands at seven or eight figures that need creative volume and seasonal forecasting.

Services offered

Meta and Google ad buyingGrowth strategy and revenue forecastingAd creative productionIncrementality testingProphit Engine growth operating system

Things to weigh before signing

  • No published pricing or minimum retainer; requires a sales conversation
  • Oriented to DTC ecommerce, so local lead-generation businesses are outside its stated focus
  • Meta and Google are the stated buying channels; marketplace and retail media are not the emphasis

Self-reported figures (their claims, not verified by us)

  • $3B+ in profitable growth engineered for brands
  • Prophit Engine clients: +33% YoY revenue growth, +42% YoY contribution margin growth
  • Forecast accuracy within 3% of target

Source: www.commonthreadco.com (accessed 2026-07-29)

#3

Tinuiti

Strongest retail media reach
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How they describe themselves

A full-funnel media agency spanning commerce, streaming and linear TV, social, and search, organized around its "Bliss Point" marketing operating system.

Why they rank here for womenswear brands

Strong published apparel and footwear credentials including DSW and Carter’s, with the widest channel surface here. Transparency scores lower: no published pricing, and channel work is split across specialist teams.

For womenswear brands specifically

Strong published apparel and footwear credentials including national retail brands, with the widest channel surface here. No published pricing, and channel work is split across specialist teams rather than one accountable operator.

Vertical fit score3.5/5
Vertical depth
4
Channel fit
5
Transparency
2
Size fit
3

New York, New York (111 West 33rd Street)

Pricing not published; requires a sales call

Best fit for

Apparel brands with retail distribution coordinating retail media and brand TV.

Services offered

Amazon and commerce mediaStreaming, linear TV, online video, audio, display, and OOHMeta and TikTok paid socialPaid search and shoppable mediaEmail and SMS, affiliate, influencerCreative and CRO

Things to weigh before signing

  • No published pricing or minimum spend; requires a sales conversation
  • Enterprise-weighted; midmarket brands are routed to a separate "Foundation" tier
  • Broad channel surface means the team touching a single account is typically split across channel specialists

Self-reported figures (their claims, not verified by us)

  • Operates the Bliss Point marketing operating system across audience, creative, media, and measurement

Source: tinuiti.com (accessed 2026-07-29)

#4

Power Digital

Best influencer and PR reach
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How they describe themselves

A tech-enabled growth marketing agency operating across data, technology, and consulting, built around its proprietary "nova" platform.

Why they rank here for womenswear brands

Fashion is a stated vertical, with influencer and PR in house. Vertical depth scores lower because the practice spans B2B, healthcare, and consumer services as well.

For womenswear brands specifically

Fashion is a stated vertical with influencer marketing and PR in house, which matters in this category. Vertical depth scores lower because the practice also spans B2B, healthcare, and consumer services.

Vertical fit score3.3/5
Vertical depth
3
Channel fit
5
Transparency
2
Size fit
3

San Diego, California

Pricing not published; requires a sales call

Best fit for

Fashion brands where influencer and earned media are core to the strategy.

Services offered

Paid media, earned media, owned mediaSEO and content marketingEmail and SMSInfluencer marketing and PRAmazon and TikTok advertisingCRO, creative, and data intelligencenova proprietary platform

Things to weigh before signing

  • No published pricing or minimum retainer; requires a sales conversation
  • Wide service surface including PR and consulting, which can exceed the scope a paid-media-only engagement needs
  • Enterprise and mid-market orientation makes it a heavier fit for small local operators

Self-reported figures (their claims, not verified by us)

  • Client revenue growth 2.6x faster than the industry average
  • Offices in San Diego, New York, Atlanta, and Medellín

Source: powerdigitalmarketing.com (accessed 2026-07-29)

#5

Hawke Media

Most flexible to buy
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How they describe themselves

Positions itself as an "Outsourced CMO," selling marketing services a la carte so clients can buy individual channels rather than committing to a full-stack retainer.

Why they rank here for womenswear brands

Published apparel and footwear client work in a broad a la carte catalog. Lower vertical depth because no category is a stated specialty.

For womenswear brands specifically

Published apparel and footwear client work in a broad a la carte catalog, which suits a brand wanting one specific service without a full retainer.

Vertical fit score3.0/5
Vertical depth
3
Channel fit
4
Transparency
2
Size fit
3

Los Angeles, California

Founded Approximately 2014 (states "12 years" as of 2026)

Pricing not published; requires a sales call

Best fit for

Apparel brands wanting one service without a retainer.

Services offered

Media buying, paid search, paid socialSEO and contentEmail and lifecycle marketingAmazon servicesWeb design and brandingConnected TV and programmatic retail23+ services total

Things to weigh before signing

  • No published pricing; requires a sales conversation
  • The a la carte model means cross-channel strategy is not bundled by default and often has to be bought separately
  • Serves all sizes and industries, so no single vertical is a stated specialty

Self-reported figures (their claims, not verified by us)

  • 6,000+ brands grown
  • 23+ services offered
  • 5 Inc. 5000 listings

Source: hawkemedia.com (accessed 2026-07-29)

How to choose a womenswear brand agency

Womenswear carries the highest return rates in apparel, and the reason is structural rather than a failure of any particular brand. Sizing is inconsistent across the industry, fit varies by body shape in ways a size label cannot capture, and buyers have learned to order multiple sizes with the intention of returning most of them. That behavior is rational for the customer and expensive for you.

It also means that the single largest available profit improvement in most womenswear accounts is not cheaper media, it is better matching. Anything that helps a buyer order the right size the first time attacks a cost that ROAS reporting never shows: models with stated measurements across body types, genuinely detailed size guidance, review content about fit, and fit tools where they are accurate.

Trend sensitivity is the second factor, since womenswear moves faster than most apparel and inventory can strand quickly. When weighing the five agencies above, ask who attributes returns to acquisition source and who treats fit communication as part of the conversion path rather than as a merchandising afterthought.

What actually separates a good womenswear brand agency from a bad one

Return rate treated as the primary profit lever
In womenswear returns are high enough that reducing them usually beats reducing acquisition cost by the same percentage. Ask whether returns are attributed to source, product, and size, and whether reduction is an explicit objective with someone accountable for it.
Fit communication built for real body diversity
Models with stated measurements across a range of body types, detailed garment measurements rather than only size labels, and honest descriptions of cut help buyers self-select. Ask whether the agency treats this as in scope, since it affects profitability more than most media decisions.
Bracketing behavior understood and planned for
Many buyers deliberately order several sizes intending to keep one. Ask whether the agency accounts for this in contribution modeling, because a channel encouraging bracketing can look highly efficient on order volume while producing very little kept revenue.
Trend and inventory coordination
Womenswear trends move quickly and advertising responds faster than stock. Ask how media decisions are coordinated with inventory position and season so spend is not scaled into product approaching markdown.

How we scored this list

Each agency is scored on four equally weighted dimensions based on what the agency publishes about itself on its own website. Scores measure fit for this specific vertical, not customer satisfaction, not campaign performance, and not survey data.

Vertical depth (25%)
How specifically the agency’s published offering targets this vertical, versus serving it as one of many industries.
Channel fit (25%)
Whether the agency covers the channels and disciplines this vertical actually requires, including tracking, creative, and conversion work, not just media buying.
Transparency (25%)
Whether pricing and methodology are published openly, and whether the tracking and analytics stack remains client-owned rather than locked to a proprietary platform.
Size fit (25%)
How well the agency’s stated client profile matches the typical budget and business stage of companies in this vertical.

What this list is not

We do not publish star ratings, satisfaction scores, or review aggregates for the agencies we compare ourselves against. We have not audited their client results. Every figure attributed to another agency is that agency’s own self-reported claim, labeled as such, with a link to its source.

Frequently asked questions

Why is Sagum ranked first on a list Sagum publishes?

Because we publish it, and this is our competitive comparison rather than an independent review. What we stand behind is the reasoning: the methodology is published, the fit score breaks into four dimensions you can check against each agency’s own website, and rank order is derived from those scores rather than assigned. Where a competitor genuinely leads a dimension we say so in their entry. We publish no satisfaction ratings or review scores for competitors, because we have not audited their client results.

Why are womenswear return rates so high?

Largely because sizing is inconsistent across the industry and a size label cannot capture how a garment fits different body shapes. Buyers have adapted by ordering multiple sizes with the intention of returning most, which is sensible for them and costly for you. That means high returns are partly a category condition rather than a brand failure, and the productive response is better matching rather than restrictive policies.

Should we report on orders or on kept revenue?

Kept revenue, because in this category the gap is large. A channel that drives many orders which are largely returned can appear to be your best performer while contributing very little. Once contribution is measured after returns and attributed to source, the ranking of channels frequently changes, and decisions about where to scale become meaningfully different.

Do fit tools and size finders reduce returns?

They can, meaningfully, provided they are accurate. A tool that produces confident wrong recommendations is worse than none, because the buyer followed your advice and still received something that did not fit. Where accuracy is good, they reduce returns and collect useful data for lifecycle messaging. It is worth testing the recommendation quality before promoting the tool heavily.

How do we handle customers who always return most of their order?

Carefully, since they are not all the same. Some are genuinely high-value customers who keep enough to be profitable overall. Others cost more than they contribute. Segmenting by kept revenue rather than gross order value lets you make that distinction, adjust who you target and retarget, and avoid spending to reacquire customers whose behavior is structurally unprofitable.

See what womenswear brand marketing looks like when the numbers are clean

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