# Fashion Marketing Agency | Paid Media for Fashion | Crank Source: https://wearecrank.com/paid-media/fashion-marketing-agency A performance-led fashion marketing agency built around margin, not vanity ROAS. Paid media, feed strategy, and growth planning for fashion and apparel brands. --- [![Crank - Providing your levers for growth](/images/crank-logo-full.png?dpl=dpl_BHxovY8aaXUEYG93Y3ojZk2avQMS)![](/images/crank-icon.png?dpl=dpl_BHxovY8aaXUEYG93Y3ojZk2avQMS)](/) * [Crank OS](/crank-os) * [Overview](/crank-os) * [How it works](/crank-os/how-it-works) * [The four layers](/crank-os#layers) * [Pricing](/crank-os/pricing) * [Compare](/crank-os/compare) * [Insights](/insights) * [Live demo](/crank-os/live-demo) * [Partners](/crank-os/partners) What it does * [Tracking](/crank-os/tracking) * [Dashboards](/crank-os/dashboards) * [Daily alerts](/crank-os/daily-alerts) * [Ad production](/crank-os/ad-production) * [Campaign builds](/crank-os/campaign-builds) Built for * [Online shops](/crank-os/ecommerce) * [B2B teams](/crank-os/b2b) Free * [Free scan](/crank-os/free-scan) * [Free companies report](/crank-os/free-companies-report) * Services * [B2B marketing](/b2b-marketing) * [B2C ecommerce](/b2c-ecommerce) * [Paid media](/paid-media) * [Fractional CMO](/fractional-cmo) * [Insights](/insights) * [All insights](/insights) * [Ecommerce growth strategies](/insights/ecommerce-growth-strategies) * [B2B marketing](/insights/b2b-marketing) * [Beauty marketing](/insights/beauty) * [Enterprise software marketing](/insights/enterprise-software) * [Paid media measurement](/measurement) * [Digital marketing glossary](/digital-marketing-glossary-for-senior-leaders) * [Case studies](/case-studies) * [About](/about) * [Contact](/contact) [Book a live demo](/contact?enquiry=live-demo)[Chat now](https://wa.me/447457416922?text=Help%20my%20business) Fashion # Fashion Marketing Agency **Paid Media & Growth Strategy for Fashion Brands** A performance-led fashion marketing agency should connect paid media to profit, not just pretty ads, by aligning tracking, channel mix, and merchandising to clear growth targets. [Book a Strategy Call ](https://wa.me/447457416922?text=Hi%2C%20I%20read%20your%20fashion%20marketing%20agency%20page%20and%20would%20like%20to%20talk.) On this pageContents 1. [Paid Media and Growth Strategy for Fashion Brands](#paid-media-and-growth-strategy-for-fashion-brands) 2. [The Fashion Paid Media Landscape: What's Changed and What It Means](#the-fashion-paid-media-landscape-whats-changed-and-what-it-means) 3. [How Crank Approaches Paid Media for Fashion and Apparel Brands](#how-crank-approaches-paid-media-for-fashion-and-apparel-brands) 4. [Measurement That Accounts for Fashion's Complexity](#measurement-that-accounts-for-fashions-complexity) 5. [Adjacent Sectors: Beauty, Lifestyle, and Compliance Considerations](#adjacent-sectors-beauty-lifestyle-and-compliance-considerations) 6. [The Fashion Brands Crank Works With](#the-fashion-brands-crank-works-with) 7. [Let's Build a Paid Media Strategy Around Your Fashion Brand](#lets-build-a-paid-media-strategy-around-your-fashion-brand) TL;DR A performance-led fashion marketing agency should connect paid media to profit, not just pretty ads, by aligning tracking, channel mix, and merchandising to clear growth targets. * How to structure paid media for profitable scale (not vanity ROAS) * What a fashion growth strategy needs: tracking, feed health, and creative testing * Channel roles across Meta, Google, TikTok, and shopping environments * Budgeting and forecasting basics for seasonal demand and stock risk ## Paid Media and Growth Strategy for Fashion Brands ![Paid Media and Growth Strategy for Fashion Brands](/images/seo/fashion-marketing-agency-1.webp) If you're hiring a fashion marketing agency for growth, the most important question isn't "do they make good ads?" It's whether they're set up to manage performance end-to-end—or whether creative is essentially where their involvement stops. Good ads aren't enough. You need a partner who can tie spend to contribution margin, stock position, and repeat purchase behaviour. Not clicks. Not engagement rates. A performance-led approach starts with being clear on what growth actually means for your brand: revenue quality (new vs returning customers), profitability (gross margin minus paid costs), and the operational constraints that shape everything—inventory depth, lead times, discounting rules. Paid media then becomes a controlled system of testing, forecasting, and optimisation. Not a loose collection of campaigns running in parallel. #### Profit beats platform ROAS Platform-reported ROAS can hide discounting, returns, and margin differences across categories. Set targets around contribution (or MER blended with margin checks) so scaling decisions reflect real profit, not just attributed revenue. ### What "performance-led" looks like for fashion paid media Most fashion brands come to us with spend already running. The problem is usually the same: campaigns are live before the foundations are right. A performance-led agency will sort four things before pushing budget harder: * **Measurement you can trust:** Correct pixel and server-side setup, clean event priorities, consistent UTM conventions, and a reporting layer that shows blended performance—not just last-click attribution that flatters the wrong channels. * **Product feed and onsite readiness:** Feed titles, imagery rules, variant handling, and category mapping matter as much as ad copy. If Shopping and catalog ads can't interpret your products properly, efficiency drops fast. * **Merchandising alignment:** Campaign structure should reflect how you actually sell—hero categories, price points, seasonality, stock coverage. We see this misaligned constantly during audits. * **A creative testing system:** Not "more content." A repeatable test plan covering angles, formats, hooks, and offer strategy—with learnings that actually feed back into the media account. If you want more detail on how we run this, see our [paid media](/paid-media) approach. ### Channel roles in a fashion growth strategy Channels work best when they're given clear jobs. When every channel is chasing the same users with the same objective, budgets blur and attribution becomes a mess. So what does a sensible channel split actually look like? * **Meta (prospecting + retargeting):** Strong for demand creation and efficient retargeting—when creative testing is disciplined and audiences aren't over-fragmented. Fragmentation is where most spend gets quietly wasted. * **Google Search & Shopping:** Captures high intent, protects brand demand, and can drive reliable category-level growth. Feed quality and pricing competitiveness have to be in order first. * **TikTok:** Useful for top-of-funnel reach and fast creative iteration. But it needs a plan for turning attention into site conversion—landing pages, offers, retargeting. Without that, it stays a reach play. * **Email/SMS (not paid, but essential):** Paid media creates sessions. Retention converts them into profit. Any serious performance plan covers how paid traffic gets captured and nurtured—not just acquired. ### Budgeting, seasonality, and stock risk Fashion isn't steady-state. Flat monthly budgets don't reflect how the category actually works. Budgeting needs to account for: * **Seasonal peaks and planned drops:** Forecast around launches, sale windows, and category seasonality—not just Q4. * **Stock depth by size and variant:** Scaling a hero product that's missing core sizes burns spend and distorts your performance signals. A common mistake we see—and easy to miss if the agency isn't looking at stock data. * **Promo rules and margin control:** Discounting can inflate short-term ROAS while quietly eroding long-term profitability. Set clear guardrails for when and how offers get used. A good agency builds a forecast with best, base, and worst scenarios—and agrees decision triggers in advance. When do you increase spend? When do you shift budgets between channels? When do you pause? Those questions shouldn't be answered reactively. #### Feeds are performance assets For fashion brands, product data is media performance. Clean variant structure, accurate availability, strong titles, and consistent imagery improve Shopping and catalog delivery—often more than another round of campaign restructuring. ### IA note for build For site structure clarity: sector pages are intended to live under **/industry-solutions/**. Confirm the final folder and URL pattern with the dev team before publishing to avoid redirects and internal linking rework later. ## The Fashion Paid Media Landscape: What's Changed and What It Means ![The Fashion Paid Media Landscape: What's Changed and What It Means](/images/seo/fashion-marketing-agency-2.webp) Fashion paid media used to be straightforward. Build prospecting on Meta, retarget hard, scale what works. That playbook is gone. The channel mix is fragmented, performance is less predictable, and the job for any [fashion marketing agency](/paid-media/fashion-marketing-agency) has shifted from "find the best channel" to building a system that keeps acquiring customers as platforms, algorithms, and buying behaviour shift underneath you. Meta is still moving serious demand. But auction volatility and creative fatigue mean hero ads burn out faster than they used to. Google Shopping—and Performance Max—remains the go-to for high-intent traffic, though isolating what's actually driving incremental sales is harder than ever, and feed quality matters more than most teams account for. TikTok has moved from experimental to a genuine discovery engine for fashion. The catch: it doesn't behave like Meta. Creative, landing pages, and offer structure all need rebuilding for traffic that's faster and less patient. Pinterest sits somewhere in the middle—strong for inspiration and longer consideration cycles, but it needs tighter merchandising alignment to actually convert. Collections, seasonal edits, category logic. That stuff matters there. #### Diversify or get stuck Across Crank-managed accounts, the brands that maintain stable growth are rarely dependent on a single platform. They spread acquisition across Meta, Shopping, and at least one discovery channel, then use testing to shift budget based on marginal returns. Underneath all the channel fragmentation is a bigger shift in how people find products. Discovery in fashion is increasingly algorithm-led. Feeds, short-form video, creator content, recommended-for-you carousels—not search. That changes what intent looks like. A lot of traffic arrives cold but curious, and you have maybe two seconds to turn attention into product understanding. Clear merchandising, strong social proof, landing pages that actually match what the ad promised. That's what does the work. Measurement has changed too. Last-click reporting tends to over-credit Shopping and under-credit upper-funnel social—especially when customers are bouncing between devices and apps across a purchase cycle. Most SaaS teams miss this, and fashion brands fall into the same trap. The best-performing accounts we work with treat measurement as directional rather than gospel. They track blended efficiency metrics like overall new customer CPA and contribution margin, then run controlled tests to validate incrementality rather than trusting attribution models at face value. > In fashion accounts we manage, the brands that keep CPAs under control are the ones that treat creative and merchandising as performance levers, not just branding outputs. When we tighten the offer, the product story, and the landing page flow, the same media budget goes further. Competition has intensified across the board. More brands, more resellers, more marketplaces—all bidding on the same audiences and the same product queries. So auctions get more expensive. Quick wins from broad interest targeting or generic catalogue ads deliver less than they did. CPAs can rise even when your execution is solid. Which means your edge has to come from somewhere else. Faster creative iteration, cleaner product feeds, better post-click conversion. Those are the levers that still move the needle. We see this constantly during technical and channel audits—brands with strong media spend but weak feed quality and slow landing pages bleeding budget they don't need to. 55% Share of US consumers who say they search for products on Amazon, ahead of search engines. For fashion brands, it's a signal that discovery and comparison happen across platforms—not just Google. Jungle Scout, Consumer Trends Report (2023) The implication for how a fashion marketing agency should operate is straightforward: stop treating channels as silos. Build a full-funnel plan where each platform has a defined role—discovery, demand capture, or reactivation. Produce creative with testing built in from the start. And make sure the site experience is doing as much selling as the ads are. ## How Crank Approaches Paid Media for Fashion and Apparel Brands ![How Crank Approaches Paid Media for Fashion and Apparel Brands](/images/seo/fashion-marketing-agency-3.webp) We plan paid media around how people actually shop apparel: they browse, compare, leave, and come back—often on a different device, days later. So before we touch a single platform setting, we start with the unit economics. Gross margin, discount cadence, returns rate, shipping thresholds. Then we map those numbers to funnel shape: how much demand already exists versus how much needs to be built from scratch. That ratio drives the channel mix. It determines how aggressive we can be on prospecting versus harvesting intent that's already there. Get it wrong and you're funding the wrong channels from day one. > In apparel, the fastest way to waste budget is to plan channels before you understand margin-by-product and what proportion of revenue is coming from existing demand versus new customer creation. ### 1) Channel planning starts with margin structure and funnel shape A few practical questions we answer before anything else: * Which categories can actually afford paid acquisition once you account for returns and shipping? * Are we scaling a hero line, clearing seasonal stock, or growing across the range? * What's the realistic time-to-purchase—same session, or multiple touches over weeks? * What's the allowable CAC by product group, not just blended across the account? We see brands skip this constantly. They set a blended ROAS target and wonder why margin erodes. From there, budget splits across three layers: * **Bottom-of-funnel capture** (high intent, high conversion probability) * **Mid-funnel consideration** (browse and compare behaviour) * **Upper-funnel reach** (brand and product-led angles for new audiences) #### Inputs we lock before planning * Contribution margin by category/SKU group (post-discount, post-returns) * Shipping and returns assumptions that affect allowable CAC * Funnel mix: % revenue from brand search + returning customers vs new customers * Product priorities (hero SKUs, seasonal pushes, stock depth) * Creative inventory: what can be produced monthly and in what formats * Tracking and feed readiness (catalogue health, GTINs, variants, pricing consistency) ### 2) Google Shopping architecture: build a feed and campaign structure that matches how you trade For most fashion brands, Shopping is where high-intent discovery turns into efficient revenue. The operative word being _if_. If the catalogue is clean and the structure is deliberate. Feed quality issues show up in almost every Shopping audit we run. It's rarely the bidding strategy that's the problem. Our approach: * **Feed-first foundations**: titles built around how people actually search (brand + product type + key attribute), correct variants, size and colour consistency, strong imagery, accurate sale pricing, and proper category mapping. * **Segmentation by margin and merchandising priority**: we split products into groups based on contribution margin, stock depth, and commercial priority—hero, always-on, clearance—so bids and budgets reflect what actually matters. * **Query and product control**: we decide where we need tighter control (brand terms, hero categories) versus where automation earns its place (long-tail discovery), then build the architecture to match. For more on how we handle this end-to-end, see our [Google Shopping agency](/paid-media/google-shopping-agency) service page. ### 3) Meta catalogue + prospecting: connect product and creative to the funnel stage On Meta, catalogue activity and prospecting are related but doing different jobs. Conflating them is a common mistake we see. * **Catalogue (DPA) for coverage and efficiency**: the product set needs to be complete, variants correct, and the account structured so we're pushing the right products—not just whatever the algorithm finds easiest to sell. * **Prospecting for controlled new demand**: creative angles lead here. Fit, styling, materials, occasion, problem and solution. The catalogue then supports consideration and retargeting downstream. The goal is matching message to moment. Style inspiration at the top. Product proof and range depth in the middle. Specific product and offer reinforcement close to purchase. ### 4) TikTok for upper-funnel reach: plan it as a creator-style channel, then measure it properly When we use TikTok, we're buying reach and attention efficiently—then letting other channels convert that attention over time. That shapes both how we brief creative and how we report. * **Creative planning**: product-in-use, quick hooks, clear styling context, and multiple concepts per month. Not one brand ad trying to do everything. * **Testing approach**: we test themes (occasions, pain points, transformations), iterate fast, and scale winners with disciplined spend increases rather than dumping budget on what looked good in week one. * **Measurement**: assisted impact matters here—lift in branded search, returning users, catalogue engagement—alongside platform-reported conversions. For more on how we run TikTok for ecommerce brands, see our [TikTok ads agency](/paid-media/tiktok-ads-agency) page. #### Channel planning and build: our typical flow Week 1 #### Economics and funnel mapping Confirm margin structure by category, returns/shipping assumptions, and define the funnel shape (capture vs create demand) to set spend boundaries. Week 2 #### Catalogue and tracking readiness Audit feed quality, variant structure, pricing/sale logic, and tracking integrity so Shopping and catalogue ads can scale without distorted signals. Week 3 #### Channel architecture and launch plan Design Shopping segmentation, Meta catalogue sets, and prospecting structure; define what each channel is responsible for in the funnel. Weeks 4–6 #### Creative testing loops Deploy structured creative tests (angles, formats, landing paths) and tie learnings back to product groups and margin tiers. Ongoing #### Budget reallocation and scaling rules Shift spend based on marginal efficiency by product group and funnel layer, scaling only where stock depth and contribution margin support it. ### How we decide the mix The mix isn't fixed. It's a commercial decision that changes as the business changes. Tight margins? We bias toward intent capture—Shopping first, and prospecting has to earn its place. Strong margins and LTV that support acquisition? We invest more in upper-funnel through TikTok and Meta prospecting, then use Shopping to convert the demand we're creating. Every channel needs a clear job. Fund it in line with margin, stock depth, and how long it actually takes your customer to decide. ## Measurement That Accounts for Fashion's Complexity Fashion measurement breaks the moment you treat it like a simple "spend in, revenue out" loop. Returns arrive weeks after purchase. Customers move between devices and channels before they convert. Demand swings hard with seasonality, drops, and promotions. Ignore those realities and you're making budget calls off distorted numbers. Last-click attribution is where most fashion brands get misled first. The final click usually comes from branded search, email, or retargeting—channels that collect demand rather than create it. Upper-funnel spend looks unprofitable on paper, even when it's doing the actual work of introducing products and building consideration. We see this constantly during audits: teams cutting prospecting because the numbers "don't justify it," when really the numbers just aren't measuring it correctly. #### Last-click hides demand In fashion, the final click is rarely the full story. Last-click attribution over-credits brand search and retargeting, under-credits discovery and consideration, and pushes teams to cut the very activity that creates new demand. Returns are the biggest measurement trap. Full stop. Report on gross revenue and you can "win" on ROAS while losing margin after returns, shipping, and payment fees. Report on net revenue without handling timing correctly and you end up wrongly penalising campaigns that drive higher-return categories or sizes. What you actually need is a consistent view that separates three things: * Gross sales * Estimated returns, broken out by category or product type * Confirmed net outcomes once the return window closes Multi-touch journeys add another layer. A customer sees a paid social ad, browses on mobile, clicks a Google Shopping result a few days later, then converts through an email reminder. Attributing that sale to email and cutting social is exactly the wrong call. A better approach combines platform-level signals (directional, but incomplete), first-party tracking you control, and incrementality thinking. That last one matters most: does the spend create additional sales, or just re-label ones that would have happened anyway? #### Optimising to gross ROAS Gross ROAS can look strong while profit drops due to returns, discounting, and shipping. Tie reporting to net revenue and contribution margin, and separate short-term performance from post-return reality. Seasonality makes comparisons dangerous if you don't normalise for it. Product mix shifts. Promo cadence changes. Conversion rates move as shoppers cycle between full-price and sale behaviour. The cleaner approach is comparing matched periods—same week last year, same promo window—and tracking blended efficiency metrics alongside channel metrics. That way you're not overreacting to movement that's just normal seasonal noise. Tracking quality sits underneath all of this. Browser restrictions, consent choices, and app-to-web journeys create real blind spots—larger than most teams expect. That's why fashion brands increasingly move toward server-side implementations and stronger first-party measurement setups, reducing data loss and keeping event quality high across paid media and analytics. For the technical detail, [MER vs ROAS](/measurement/marketing-reporting/mer-vs-roas) and [server-side tracking](/measurement/tracking/server-side-tracking) are worth reading together. #### More on fashion measurement * [MER vs ROAS](/measurement/marketing-reporting/mer-vs-roas) * [Server-side tracking](/measurement/tracking/server-side-tracking) * [Marketing reporting](/measurement/marketing-reporting) * [Tracking](/measurement/tracking) ## Adjacent Sectors: Beauty, Lifestyle, and Compliance Considerations Most fashion brands aren't purely fashion. They sit next to beauty, wellness, accessories, fragrance, lifestyle—and that mix brings different platform rules and legal requirements. A fashion marketing agency needs to plan campaigns that work across those adjacencies without getting ads rejected, accounts restricted, or delivery quietly throttled by policy flags. Regulated beauty categories Beauty sub-categories (such as certain skincare, cosmetic claims, supplements, and device-led beauty) that trigger stricter advertising policies and, in some markets, additional legal compliance requirements. ### Where fashion overlaps with beauty and lifestyle We see this constantly during audits. The overlap tends to show up in three specific places. * **Claims and language**: Beauty and wellness ads lean on "results" messaging—before/after, problem-solution, clinical-sounding copy. Even if the product sits alongside fashion (think "glow" messaging on a lifestyle landing page), that language can trigger a policy check on the whole account. * **Creative style**: UGC, close-up skin imagery, and transformation edits are standard in beauty. Platforms may treat these very differently from apparel creative, especially when visuals imply personal attributes or unrealistic outcomes. * **Landing page and product mix**: A fashion site that also sells regulated beauty SKUs can inherit compliance risk across the board. If an ad clicks through to a category page that includes restricted products or claims, the ad gets rejected—even when the creative itself is completely clean. So what actually changes when adjacent categories enter the mix? Quite a lot. ### Platform policy overlaps that catch fashion brands out Even when apparel is the primary product, the adjacent category mix changes what "safe" looks like in practice. **Personal attributes** are one of the first things platforms scrutinise harder in beauty and wellness contexts. Copy that implies something about a person—skin condition, weight, age, health—needs to stay benefits-led. Avoid "you" statements that infer a sensitive attribute. * **Before/after and implied outcomes**: Transformation-style creative regularly causes disapprovals or limited delivery. Aggressive retouching, exaggerated results, time-bound guarantees—platforms flag all of it. * **Influencer and UGC compliance**: Disclosures matter more once you're near regulated categories. Gifted labels, paid partnership tags, substantiation for claims—build a review step into the creative process well before upload. Not after. A common mistake we see: brands treat compliance as an ad-level check rather than a system-level one. By the time one ad gets flagged, the risk is often already spread across the whole account. #### Important If your catalogue, landing pages, or ad copy include regulated beauty or wellness claims, policy enforcement can affect your entire ad account—not just the specific ads—so compliance needs to be handled at the product-feed, creative, and landing-page levels. ### Practical compliance checks to run before scaling spend A few checks that reduce avoidable policy issues when brands span fashion and beauty or lifestyle. 1. **Separate product sets**: Segment feeds and campaigns so regulated or higher-risk SKUs don't contaminate lower-risk apparel activity. 2. **Creative guardrails**: Build a clear do/don't list for claims, imagery, and testimonials. Apply it consistently across paid social and creator content—not just at the final review stage. 3. **Landing page parity**: The ad promise needs to match what's above the fold. Remove or qualify any claims that can't be substantiated. 4. **Check local market rules**: The same copy can be compliant in one region and a violation in another. This comes up most often around cosmetic claims and supplements. The tricky part is that most of this doesn't surface until you're already scaling. Feed structure and creative guardrails put in place early cost significantly less than unpicking account-level policy issues later. For brands operating in regulated beauty categories—or sitting close to them—use this as a reference point: [beauty ad compliance](/industry-solutions/beauty/beauty-ad-compliance). #### Related reading * [Beauty Ad Compliance](/industry-solutions/beauty/beauty-ad-compliance) ## The Fashion Brands Crank Works With Crank works best with fashion brands that already have product-market fit—and want a paid media and SEO partner that actually understands how fashion commerce runs. Seasonal drops. Fast-moving ranges. Margin pressure. Best sellers that change week to week. We're not the right fit for everyone. Our sweet spot tends to fall into three groups: * **Direct-to-consumer fashion brands** with a clear point of view—strong product, consistent launches, a recognisable brand—and a need to grow efficiently without betting everything on one channel. * **Mid-market apparel brands** with a proven catalogue and stable operations that want more disciplined growth planning across acquisition, retention, and merchandising priorities. * **Emerging brands scaling from five to eight figures** that are past early experimentation and now need repeatable systems: forecasting, testing roadmaps, a creative production rhythm, and reporting that finance and merchandising can actually use. #### Example An emerging DTC apparel brand came to us during a growth plateau: strong repeat purchase, but inconsistent new customer acquisition. We aligned targets to contribution margin, set a clear testing roadmap for creative and landing pages, and built a weekly trading cadence with the merchandising team—so spend followed stock position and margin, not just top-line revenue. ### What "fashion-specialist" means in practice A lot of agencies claim fashion experience. Few change how they actually work because of it. Being fashion-specialist means the work shifts based on fashion constraints—not a generic eCommerce playbook applied to a clothing client. For the brands we work with, that typically looks like: * **Merchandising-aware planning:** campaigns and landing pages mapped to collections, categories, price points, and stock depth—so you're not scaling into out-of-stock winners or pushing slow movers without a margin plan. * **Creative built for volume and speed:** a process for generating, refreshing, and learning from creative at the pace fashion actually demands—drops, seasonal shifts, fast trend cycles. * **Range and feed discipline:** product data, attributes, and categorisation structured so Shopping and catalogue-driven placements reflect how customers browse fashion (size, colour, material, fit, silhouette, gender, occasion). * **Audience and intent mapped to the purchase cycle:** separate strategies for newness, best sellers, gifting moments, and sale—because the job of the ad changes depending on where the customer is in their decision. We see this constantly during audits. Brands running the same campaign structure across a new drop and a clearance sale, then wondering why performance is inconsistent. It's one of the most common and most fixable problems we find. ### Minimum spend, onboarding, and fit **On minimum spend:** we're usually not the right partner for brands with very small budgets or brands still validating demand. Fashion needs enough spend to test creative and audiences properly—and enough operational maturity to act on what you learn. If you're early-stage, we'll be straight with you about whether an agency is the right move right now. **On onboarding:** the goal is to get to "useful" quickly. Not a six-week discovery phase. Expect: * a structured kickoff to understand range, launches, margins, and constraints * access and account audits across ads, analytics, product feed, and website * clear agreement on reporting definitions—especially around net vs gross, discounts, shipping, and returns * a practical 30–90 day plan with prioritised tests and quick wins **What we need from you:** timely creative, basic stock visibility, and a decision-maker who can unblock site and merchandising changes. The best results come when we're aligned with whoever owns trade, brand, and performance—not just a single channel owner operating in a silo. ## Let's Build a Paid Media Strategy Around Your **Fashion Brand** Before budgets or creative testing, we get clear on what success actually means for your brand. New customer growth. Profitable scale. Margin protection. Clearing seasonal stock without conditioning customers to wait for the next sale. From there, we build a plan that connects product economics to every media decision. That means your hero SKUs, promo calendar, inventory constraints, and fulfilment realities all feed into how we structure campaigns, set targets, and report outcomes. Everything is connected. Nothing sits in isolation. You shouldn't have to choose between growth and efficiency based on whichever dashboard view looks best that week. Get a paid media plan built around margin, inventory, and growth targets. [Talk to Crank](/contact) Here's what this looks like in practice: * **Commercial-first account structure:** We group campaigns around collections, price points, and intent levels so performance can be diagnosed and improved—not just observed. * **Creative and landing page feedback loop:** Ad-level learnings get turned into concrete actions: product page changes, merchandising order, offer framing, content direction. Fast. * **Testing with guardrails:** We define what gets tested, how success is judged, and how long experiments run. No constant resets that burn budget without producing anything durable. * **Reporting you can act on:** We tie performance back to contribution margin, net revenue where possible, and customer value trends. Not vanity ROAS spikes. We see fashion brands run into the same problems repeatedly. Growth targets that ignore margin. Creative testing without structure. Reporting that flatters the agency instead of informing the client. That's what we're built to fix. If you want a paid media strategy designed to scale your brand responsibly, we'll pressure-test the assumptions, build a plan you can actually execute, and measure it in a way that matches how fashion really sells. ### Build your fashion paid media plan Tell us your goals, margins, and constraints. We'll map a performance-first strategy and the next steps to execute. [Contact us](/contact) _Internal note for launch:_ confirm the **/industry-solutions/** folder structure with the dev team before this page goes live. If the slug migrates, ensure a **301 redirect** is in place from any prior URL. ## Frequently **Asked Questions** Do you have a minimum ad spend or revenue level?▼ We don't publish a single number because fit matters more than a headline threshold. In general, we're a strong fit for brands with consistent demand and enough budget to run structured tests, refresh creative regularly, and support the operational follow-through (merchandising, site updates, email/SMS coordination). We'll tell you quickly if we think you're too early for an agency. How long does onboarding take and what do you need from us?▼ Most onboardings take 2–4 weeks depending on access, tracking state, and how quickly we can align on targets and definitions. We'll ask for platform access, product feed inputs, a view of margins/discounting rules, launch calendars, and any constraints around stock or fulfilment. The goal is to start with a clear trading cadence, not a long discovery phase. What does 'fashion-specialist' change compared to a general eCommerce agency?▼ It changes the way we plan and measure. We factor in launch calendars, stock depth, markdown cycles, and category performance, and we build creative and feed workflows that match the pace of fashion. You should feel like strategy and execution reflect your range and merchandising reality—rather than a generic checklist. Will you work with emerging brands scaling fast?▼ Yes—if the fundamentals are in place: a product customers want, a workable margin structure, and the ability to produce creative consistently. Scaling from five to eight figures usually requires stronger testing discipline and better coordination across trade, creative, and performance; that's where we tend to add the most value. 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