TopExpertPicks

Top 5 Apparel Brand Ad Agencies

A vertical-fit comparison of five ad agencies working with apparel 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 apparel 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 apparel brands specifically

We attribute returns to acquisition source so contribution reflects what actually stuck, treat fit guidance as part of the conversion path, and coordinate media with inventory position and variant-level feed accuracy.

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 apparel 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 apparel 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 apparel 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 apparel 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 apparel 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 apparel 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 apparel 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 apparel 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 apparel brand agency

Apparel has a profitability problem that hides inside a healthy-looking ROAS number, and it is returns. A brand can grow revenue twenty percent and grow profit not at all, because the incremental orders came back. Outbound shipping, return shipping, handling, and the frequent inability to resell an item at full price mean a returned order often costs more than the margin on the one that stuck.

The reason this stays hidden is that almost nobody attributes returns to acquisition source. Return rates vary considerably by channel, by creative, and by product, and once you attribute them properly the ranking of your channels frequently reverses. The cheapest traffic is often the least well-matched, which means it is not cheap at all.

The second recurring issue is variant complexity. Sizes and colourways multiply SKUs, feeds break quietly as variants sell out, and budget gets spent advertising items nobody can buy. When weighing the five agencies above, ask who attributes returns to source and who owns feed accuracy at variant level.

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

Returns attributed to acquisition source
Return rate varies by channel and creative, and a channel producing high returns is expensive regardless of its apparent cost per order. Ask whether returns are attributed back to source and included in contribution reporting, since this commonly reorders which channels look worth scaling.
Fit information as part of the conversion path
Detailed size guidance, models with stated measurements, and review content addressing fit reduce returns more than anything in the ad account. Ask whether the agency treats this as in scope or as a site problem outside their remit.
Variant-level feed accuracy
Sizes and colours create large SKU counts and feeds that degrade quietly as variants go out of stock. Ask who owns feed health, how variants are handled, and what alerting exists, because advertising unavailable sizes is a common and invisible waste.
Markdown and inventory coordination
Apparel carries seasonal inventory risk, and media decisions made purely on recent performance can scale a product about to be marked down. Ask how the agency coordinates spend with inventory position and season rather than optimizing in isolation.

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.

How much do returns really cost us?

More than most apparel brands account for. A returned order costs outbound shipping, return shipping, handling and inspection, and frequently the difference between full price and whatever you can resell it for. None of that appears in a ROAS figure. Because return rates differ substantially by channel and creative, attributing them to source often shows that your most efficient-looking acquisition is your least profitable.

What reduces apparel returns most effectively?

Better information before purchase, rather than stricter return policies. Accurate detailed size charts, models across body types with measurements stated, honest descriptions of cut and fabric, and review content that speaks to sizing all help buyers self-select correctly. These usually reduce conversion slightly and reduce returns considerably, which is a favourable trade once returns are costed properly.

Should we advertise every size and colour?

You should advertise product families and let the feed handle variants accurately, rather than building campaigns per variant. What matters far more is monitoring, because variant stockouts happen constantly and quietly waste spend. A feed that advertises a size you cannot ship converts a paid click into a frustrated buyer, which costs more than the click.

How should inventory affect our media decisions?

Substantially, because advertising responds faster than stock does. Scaling spend on a product performing well can be exactly wrong if that product is approaching markdown or running low, and conversely there is often unadvertised inventory that would sell with support. Coordinating media with inventory and seasonal position, rather than optimizing purely on recent performance, avoids both problems.

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

Sagum.ai publishes this comparison. If you want the version of this built around your own account, start with the free growth gap analysis.

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