PPC for DTC Brands
We run Meta, Google Shopping, and TikTok programs built around how a direct-to-consumer brand actually makes money: first-purchase economics, repeat and subscription revenue, and a contribution margin that has to survive shipping, returns, and the discount code your last email blast handed out.
Book a Discovery CallThe goal is a blended customer acquisition cost your unit economics can carry once each platform’s own reporting stops being the whole story,
Not a screenshot of a high in-platform ROAS that never reconciles with the bank account.
Your Reported ROAS and Your Bank Account Stopped Agreeing With Each Other
A DTC brand’s paid media problem rarely shows up as an obvious failure. It shows up as a dashboard that says 4x ROAS on Meta while the founder’s actual bank balance tells a different story once shipping costs, return rates, and a sitewide discount code get subtracted out.
Apple’s App Tracking Transparency prompt cut the share of iOS users advertisers can reliably track, so Meta’s own reported numbers now lean on modeled and probabilistic attribution rather than a clean pixel fire, and Google Shopping and TikTok each attribute the same sale differently, so three platforms can claim credit for one purchase and none of the totals add up to what actually shipped. Add a catalog of dozens or hundreds of SKUs, a subscription tier alongside one-time purchases, and a Black Friday spike that is worth a third of the year’s revenue in six weeks, and a generic paid social package built for a single-product landing page has nothing useful to offer.
Direct-to-consumer paid media has to start from blended measurement across every channel and a margin figure that already knows what a return costs, not a single platform’s dashboard treated as the truth.
Scaling Spend on a Number the Platform Made Up
The fastest way to burn a DTC budget is to keep raising daily spend because Meta’s reported ROAS still looks healthy, while the blended number across Google, TikTok, and Meta together has already slipped underwater. Discount codes make this worse in a specific way: a sitewide 20 percent-off email blast produces a wave of orders that paid social or shopping ads get credited for touching, so the campaign looks like it drove new revenue when it mostly caught existing customers who were going to buy anyway.
Creative fatigue compounds it. A single winning ad can carry a account for a few weeks before frequency climbs and cost per click creeps up, and a brand running the same three video ads since spring has no read on why cost per acquisition is rising because there is no fresh test running underneath it.
By the time a founder notices margin has quietly gone negative on new-customer orders, months of ad spend have already gone toward growth that was never actually profitable.
What a DTC Brand PPC Program Covers
A managed program across the channels a direct-to-consumer brand actually needs, built around catalog complexity, repeat purchase economics, and measurement that survives the platforms’ own attribution limits.
Google Shopping and Performance Max
We structure your product feed by margin and bestseller tier, build Shopping and Performance Max campaigns around that structure instead of one flat catalog upload,
And manage brand exclusions and search term reporting so PMax spend goes toward incremental customers instead of cannibalizing branded search you would have gotten free.
Meta and TikTok Full-Funnel Paid Social
We run prospecting, retargeting, and Advantage+ or Smart Performance campaigns on Meta and TikTok together,
Using Spark Ads and creator partnership ads where UGC-style content outperforms polished studio creative, and keep each platform’s budget tied to the audience stage it actually reaches best.
Creative Testing at Volume
We run a continuous testing cadence, new hooks, formats, and angles launched on a schedule rather than whenever someone remembers,
So a winning ad gets identified and scaled before frequency and fatigue push its cost per acquisition back up, and losing concepts get killed early instead of spending on for weeks out of habit.
Server-Side Tracking and Attribution
We implement Meta’s Conversions API and equivalent server-side tracking on Google and TikTok, layer in first-party data from your store platform,
And build blended reporting so you see one number across all three channels instead of three platforms each claiming the same sale.
LTV and Subscription-Informed Bidding
For brands with a subscription tier or a strong repeat purchase rate, we build bidding and budget decisions around cohort LTV and payback period rather than first-order ROAS alone,
So a customer who is worth three times their first order over a year gets bid for accordingly instead of judged on day one economics.
Landing Page and Product Page Testing
We test the page paid traffic actually lands on, product detail pages, bundle offers, and pre-launch or waitlist pages, against load speed, trust signals,
And checkout friction, since a strong ad sending traffic to a slow or cluttered page loses conversions no amount of bid optimization can recover.
What a Blended, Margin-Aware Program Produces
When Meta, Google Shopping, and TikTok get judged against one blended number instead of three separate dashboards each claiming the win, spend moves toward the channels and campaigns actually producing profitable orders rather than the one with the most flattering attribution. A creative testing cadence that never stalls keeps cost per acquisition from drifting upward the way it does when the same three ads run untouched for a quarter.
Bidding to contribution margin and cohort LTV instead of a flat ROAS target means a subscription or repeat-heavy brand can spend more aggressively to acquire a customer worth real money over a year, while a lower-margin, one-time purchase line gets held to a tighter number. The result is a marketing efficiency ratio you can actually defend in a board meeting or a bank conversation, built on tracking that survives whatever Apple or the platforms change next, rather than a number that happens to look good until someone checks it against revenue.
How DTC brands actually buy paid media, and why a generic package breaks
A single-product brand launching its first campaign, a multi-SKU catalog brand running Shopping alongside social, and a subscription brand judging spend on year-one cohort value are not buying the same service even when they all say ‘run our ads.’ The single-product brand mostly needs prospecting creative and a clean landing page. The catalog brand needs a feed structured by margin tier so Performance Max spend does not quietly favor whatever SKU has the most reviews regardless of profitability. The subscription brand needs bidding built around a payback period measured in months of repeat billing, not a same-day ROAS target that undervalues every customer who sticks around.
A generic paid social package built for a lead-gen service business does not flex for any of that, because it was never built around a product feed, a repeat purchase curve, or a Black Friday week that can be worth a third of annual revenue. We start every DTC engagement by mapping which of these situations you actually are, since the feed structure, the bidding logic, and the reporting all look different for a catalog brand than for a subscription brand, and building the campaign before that scoping conversation is how budget ends up spent against the wrong goal for months.
- ✓Different builds for single-product launches, multi-SKU catalog brands, and subscription models
- ✓Feed structured by margin tier and bestseller status, not one flat catalog upload
- ✓Bidding logic scoped to first-order ROAS, blended CAC, or cohort payback period depending on the business
- ✓Scoping done before campaigns launch, not discovered after a quarter of misdirected spend
iOS 14.5, attribution decay, and building measurement you can actually trust
Apple’s App Tracking Transparency prompt gave iOS users a direct opt-out from being tracked across apps, and a large share of users decline, which means Meta and other platforms can no longer see a clean, complete picture of who converted. Platforms responded by leaning harder on modeled conversions and probabilistic attribution, which is why in-platform ROAS numbers have gotten more optimistic over the past few years even as blended, storefront-verified revenue has not kept pace. Google and TikTok each run their own attribution logic too, so the same purchase can get claimed by more than one channel, and a brand relying on each platform’s self-reported number ends up budgeting against a total that is larger than the revenue that actually came in.
“The platforms are never going to hand you a number that makes their own channel look bad. If you’re still bidding off whatever Meta or TikTok tells you your ROAS is, you’re bidding off their marketing, not your P&L,” says Olivia Grant, Head of Paid Media at Media @ Marsons. We implement Conversions API and equivalent server-side tracking so a conversion signal reaches the platform even when a browser pixel gets blocked, connect first-party order and customer data from your store platform, and build blended reporting that reconciles all three channels against what actually shipped, so budget decisions are based on real revenue rather than a modeled estimate.
- ✓ATT opt-out rates have reduced how much of the iOS audience platforms can directly track
- ✓Server-side Conversions API tracking recovers signal a blocked browser pixel would miss
- ✓Blended reporting reconciles Meta, Google, and TikTok against actual store revenue
- ✓Budget decisions run off verified sales, not each platform’s own modeled attribution
Creative testing at volume, the actual engine of DTC paid media
In a DTC account, the media buying strategy matters less than most founders assume, and the creative running inside it matters more. A strong hook in the first two seconds of a video, a thumbnail that stops a scroll, and an angle that matches how a real customer actually talks about the product will outperform a technically perfect bid strategy running tired ads. Creative fatigue is real and fast: a winning ad can carry an audience for a few weeks before frequency climbs, cost per click rises, and the same concept that used to convert starts costing twice as much to produce the same result.
We run a continuous testing calendar rather than a one-off creative refresh every quarter, mixing UGC-style content, creator partnership and Spark Ads on TikTok, and studio-produced product content, and we test enough variants at once to reach a real read rather than declaring a winner off a handful of clicks. Concepts that underperform get killed early instead of spending on out of inertia, and winners get scaled into new formats and placements before fatigue sets back in.
- ✓Hook, thumbnail, and angle testing treated as the primary lever, not an afterthought to bidding
- ✓Continuous testing calendar instead of a quarterly creative refresh
- ✓Mix of UGC-style, creator partnership, and studio-produced formats across Meta and TikTok
- ✓Underperforming concepts killed early, winners scaled before frequency fatigue erodes them
Google Shopping, Performance Max, and the catalog feed problem
Google Shopping and Performance Max campaigns are only as good as the product feed feeding them, and most DTC catalogs were built for a storefront, not an ad auction. Missing GTINs, thin titles, and unclear custom labels leave Google’s algorithm guessing which products deserve budget, and Performance Max in particular behaves like a black box once it is live, blending Search, Shopping, Display, and YouTube inventory with limited visibility into which channel or asset actually drove a sale. Left unmanaged, PMax spend often drifts toward branded search terms a customer would have found anyway, which inflates ROAS on paper while adding little incremental revenue.
We rebuild the feed around custom labels for margin tier, bestseller status, and inventory level before campaigns launch, set brand exclusions and monitor search term reports where visibility allows, and structure campaigns so budget is directed at genuinely new customer acquisition rather than free branded traffic dressed up as a paid win. The goal is a feed and campaign structure that gives Google’s automation good inputs to work with, since asking a black-box system to perform well off a messy, unlabeled catalog rarely ends with an efficient account.
- ✓Feed rebuilt around custom labels for margin tier, bestseller status, and inventory level
- ✓Brand exclusions and search term monitoring to limit budget waste on branded search
- ✓Campaign structure built to give Performance Max’s automation reliable signal, not a guessing game
- ✓Focus on incremental new-customer revenue over inflated ROAS from traffic you would have gotten anyway
LTV, subscription cohorts, and bidding to contribution margin instead of a flat ROAS target
A flat ROAS target treats every customer the same, which punishes brands that make most of their real money on the second, third, and tenth order. A subscription box brand or a consumable product with a strong repeat rate can afford to acquire a customer at a loss on the first order if the cohort’s value over six or twelve months clears a healthy payback period, but a bidding strategy locked to day-one ROAS will underbid for exactly those customers and lose them to a competitor willing to look past the first sale.
We build cohort LTV curves from your order history, segment customers by acquisition channel and first-purchase product, and set bidding targets around contribution margin and payback period rather than a single blanket ROAS number. Contribution margin, revenue minus product cost, shipping, payment processing, and return provisions, is the number that tells you whether a sale actually made money, and it is often meaningfully lower than the topline revenue a platform’s ROAS figure is built on. Getting that number right is what lets a brand scale spend with confidence instead of guessing at what the next dollar is worth.
- ✓Cohort LTV built from real order history, segmented by channel and first-purchase product
- ✓Bidding targets set to payback period and contribution margin, not a flat blanket ROAS
- ✓Contribution margin accounts for product cost, shipping, processing fees, and returns
- ✓Subscription and high-repeat brands can bid more aggressively where the cohort math supports it
Why DTC Brands Choose Media @ Marsons
We are a full-service growth partner running paid media for brands where a single platform’s dashboard has stopped being a reliable source of truth.
With 2,500+ clients served and a 98% client satisfaction record, we bring the discipline direct-to-consumer paid media needs now: three channels managed as one program, measurement built for a world where cookies and pixels are unreliable, and bidding tied to contribution margin and customer lifetime value instead of whichever number happens to be flattering this week.
One blended number, not three dashboards
We report Meta, Google Shopping, and TikTok against a single blended CAC and marketing efficiency ratio, so budget decisions are made on what actually shipped and what it actually cost, not on each platform’s own generous attribution model.
Bidding built on margin, not just ROAS
We factor shipping cost, return rate, and discount usage into the margin figure campaigns are judged against, so a headline ROAS number that ignores what a return or a promo code actually costs never gets mistaken for real profit.
Creative production and testing owned end to end
We brief, produce, and test UGC-style and studio creative on a running schedule, so a winning ad gets found and scaled quickly and a fatigued one gets replaced before it drags your cost per acquisition up.
Tracking built for how attribution actually works now
We implement Conversions API and server-side tracking, connect first-party store data, and build reporting that holds up under ATT opt-out rates and platform modeling, instead of relying on a browser pixel that only sees part of the picture.
What our clients say
Four segments, each with its own route and copy, on one brand and one hiring process. 167 pages that still sort buyers at the first click.
An open-ended service business became two priced tiers on the page. Publishing the price filters the enquiries before they reach a human, which is worth more than the few it loses.
216 pages live on one visual system, four content types each with its own template. We can publish at scale without the site turning into a pile that gets harder to search every month.
PPC for DTC Brands, Answered
How much does PPC management cost for a DTC brand?
Do you run Meta, Google Shopping, and TikTok together or separately?
How do you handle attribution after iOS 14.5 and rising privacy restrictions?
Is creative production included, or do we need to supply our own assets?
We’re a subscription brand. Does that change how you run PPC?
Do you work with platforms other than Shopify?
How long before we see results from a new program?
Can you guarantee a certain ROAS or CAC?
Find Out What Your Paid Media Actually Costs
Book a discovery call and we will look at your current Meta, Google, and TikTok reporting side by side with your real margin and return data, then show you the blended PPC program we would build to scale spend on numbers you can trust.
Book a Discovery Call
