Performance Marketing Services for DTC, Run Around the Creative
Our performance marketing services run paid social, paid search, native, and YouTube as one integrated system, with the creative engine as the lever that actually moves CPA and ROAS. We do not operate as a media-buying shop with a creative vendor stapled on. The two functions sit on the same team because that is the only structure that survives the platforms as they exist in 2026.
Meta's Advantage+ and Google's Performance Max have commoditized the manual lever-pulling that used to define an account manager's day. The work that moves the number now is hook iteration, angle testing, and feeding the algorithm fresh creative fast enough to outrun fatigue. That is what we ship.
This page is the "what we run" page. If you want the category explainer, the definition of performance marketing covers it. If you are weighing the structural decision, agency vs in-house lays out the math.
The Problem We Solve
Most DTC paid programs stall because the agency runs media and the creative comes from somewhere else, two silos, slow feedback, no profitable iteration.
The failure mode is structural, and it shows up the same way across accounts:
- CAC is up roughly 15-20% year-over-year on native platforms. The old "set bids, swap audiences, refresh interest stacks" playbook no longer moves the number. The variance now lives almost entirely in the creative.
- Advantage+ and Performance Max ate the manual buying lever. Whatever wins now wins on hooks and angles, not on audience picks. A buyer who cannot brief, script, and iterate creative is operating on the wrong side of the auction.
- Platform-reported ROAS inflates versus Shopify deposits. After Apple's App Tracking Transparency framework rolled in, roughly 75% of iOS users declined tracking and Meta lost its IDFA-based deterministic match, which drove a 30-50% drop in pure attribution signal. Platforms now lean on aggregated event measurement and probabilistic modeling, and the combined reported conversions across Meta and Google routinely overstate the truth.
The deeper version of this diagnosis lives in why DTC ads stopped scaling. The short version is that brands keep paying to fix a problem they have misdiagnosed.
What We Run (The Service Stack)
Five deliverable pillars, one integrated system. Strategy, performance creative, multi-channel buying, server-side measurement, and testing. None of them work alone.
Strategy and Account Architecture
Account structure is the invisible infrastructure that decides whether spend scales or stalls. We map campaign objectives to specific funnel stages, build exclusion lists so budget does not waste on recent purchasers, and segment product feeds by sell-through velocity so the algorithm is pointed at inventory that can actually carry the demand.
Optimization targets are unit economics, not platform-reported ROAS. The metric we hold the account to is LTV:CAC, with MER as the blended sanity check. The deeper Meta account structure write-up walks the architecture; the LTV:CAC page covers the target-setting math.
Performance Creative Production
This is the lever. We ship net-new concepts, not text-overlay reskins of one winning asset.
Net-new means a different angle: a founder-led explanation, a UGC unboxing, a product demo, a social-proof stack, an urgency hook, a problem-agitate cut. A lower-tier shop will take one core video, change the on-screen text ten times, and call it "ten new creatives." That is not testing. The algorithm reads it as one asset.
Velocity targets scale with the tier the account is in:
- Startup / Testing: 4-10 variants per month, with brand-supplied raw assets where it makes sense.
- Growth / Scaling: 15-30 net-new variants per month, continuous testing, dedicated creative strategist bridging the dashboard and the editors.
- Established / Enterprise: 100-300+ variants per month via UGC pipelines and AI-assisted workflows, aimed at surfacing the 3-5 winning hooks that can absorb meaningful budget.
Hook iteration runs daily, not weekly. If a hook fails on Tuesday, a new variation is in the auction by Wednesday. If creative volume is the only piece you need as a standalone scope, the creative agency page covers it.
Multi-Channel Media Buying
Channel depth matters more than breadth. A lot of generalist agencies claim omni-channel coverage but cannot win on TikTok because they treat it like a square-format Meta placement. TikTok demands a different creative language and a much faster refresh rate than Google Search. Native demands editorial styling. YouTube demands narrative length the others reject.
We run the channels with specialist buyers, not a single jack-of-all-trades managing everything:
- Paid social (Meta, TikTok)
- Google Ads (Search and Performance Max)
- YouTube ads
- Native
The full channel map shows where each ecosystem fits in a DTC stack.
Measurement and Server-Side Tracking
Single-source-of-truth tracking is in the base scope, not an upsell. After the iOS 14.5 attribution collapse, running without server-side measurement means making decisions on numbers that are demonstrably wrong.
We deploy Conversions API and server-side tagging, reconcile platform-reported revenue against blended truth, and report on MER plus contribution margin rather than treating platform ROAS as gospel. When Meta reports 4.0x and Google reports 3.5x and the email tool reports a 30% lift, the aggregate routinely exceeds the Shopify deposit. That gap is what the measurement stack closes.
Supporting reads: server-side tracking, MER vs ROAS, the attribution stack, and contribution margin.
Creative Testing and Scaling
Testing is a statistical discipline, not a vibe check. We define winner criteria up front (CPA, ROAS, hold time, MER contribution), run tests long enough to clear noise, and kill losers without ceremony. Winners are identified at the hook level, then variations are built around what specifically worked.
Scaling is then a separate decision. The 3-5 hooks that survive get pushed through the architecture as MER holds; the rest get retired. At higher spend tiers we add incrementality testing because in-platform reporting cannot tell you what would have happened anyway.
The full creative testing framework covers the statistical design; scaling mechanics covers what happens after a winner is found.
Scope By Spend Tier
How the stack actually flexes across the three brand stages we work in:
| Scope dimension | Startup / Testing | Growth / Scaling | Established / Enterprise |
|---|---|---|---|
| Typical monthly ad spend | $5,000 - $20,000 | $20,000 - $100,000 | $100,000 - $500,000+ |
| Media buying breadth | 1-2 channels (Meta + Google Search) | 2-3 channels (add TikTok or Pinterest) | Omni-channel (Meta, Google, TikTok, YouTube, native, Amazon) |
| Creative volume | 4-10 variants per month | 15-30 net-new variants per month | 100-300+ variants per month |
| Measurement depth | Native platform reporting plus CAPI baseline | Third-party attribution layer (Triple Whale class), custom dashboards | Real-time data warehousing, predictive LTV modeling |
| Account team shape | Shared mid-level buyer | Dedicated senior buyer + creative strategist | Pod: director, strategist, multiple buyers, editors |
These are scope envelopes drawn from current industry tier data, not promised outcomes. The right scope for your account is the one the unit economics support.
The Process
Four stages, in order.
- Audit and architecture (weeks 1-2). A 14-day historical-data audit, pixel and CAPI configuration, account restructure, baseline LTV:CAC and MER targets. This is the work that has to land before live budgets move, which is why a 50-100% onboarding fee is industry-standard at this stage. If you would rather sample this work as a standalone first, the paid media audit is the entry offer.
- Concept and produce. Brief, script, source or shoot, edit. The output is net-new hooks across distinct psychological angles, not ten variations of one asset.
- Launch and read. Launch into the new account architecture and hold the program to the algorithm's learning window before drawing creative conclusions. The standard 90-day initial term exists because reading creative on a two-week window produces wrong answers.
- Iterate and scale. Kill losers fast. Double down on the 3-5 winning hooks. Push budget through the architecture as MER holds, pull back the moment it slips.
Who This Is For (and Who It Is Not)
Three buckets, anchored to spend.
- Right fit at Growth / Scaling ($20K-$100K monthly). You have product-market fit, you are blowing through creative faster than the in-house team can ship, and you need the hybrid retainer with creative production in scope. This is where the model is sharpest.
- Right fit at Established / Enterprise ($100K+). You need a pod, not a generalist. The in-house math does not start favoring an internal build until roughly $20-25M in revenue, where percentage-of-spend agency fees finally outpace the fully loaded cost of an elite internal team.
- Not a fit under $20K monthly spend. The agency math does not work for either side at that level. We route those brands to lighter-scope tools or coaching.
The full breakdown lives in agency vs in-house.
How We Price
We run a hybrid model: a base retainer covering strategy, architecture, and creative production overhead, plus an efficiency bonus tied to a defined MER or ROAS threshold. Both sides win only when unit economics work.
We do not run pure percentage-of-spend. The model financially rewards us for scaling regardless of margin, which directly hurts you on the months you should be pulling spend back to protect cash. A 15% fee on a budget the brand should be cutting is a structural conflict, not a partnership.
We do not run pure performance / CPA either. It sounds aligned and is not. Pure CPA pricing rewards harvesting the lowest-hanging fruit, usually deep-discount retargeting on loyalists who would have bought anyway, instead of doing the harder work of net-new acquisition. Tracking is also too noisy post-ATT for it to be fair to either side; we would be invoicing against numbers we both know overstate the truth.
Standard onboarding fee runs 50-100% of the first month's retainer. Initial term is 90 days because that is how long it takes for the algorithm to learn and for creative testing to produce statistically meaningful reads. After that the engagement runs month-to-month with 30 days' notice.
The Costs You Should Budget For Beyond The Retainer
Most agency pages bury this. We surface it because the brands who model the full picture make better decisions and stay longer.
- Attribution software (Triple Whale, Northbeam, Rockerbox class): typically $500-$2,000+ per month, scaling with order volume.
- CRO and session recording (VWO, Optimizely, Hotjar, Microsoft Clarity): $200-$1,000 per month.
- Lifecycle platform (Klaviyo and similar): scales aggressively with the subscriber list.
- Raw creative sourcing. UGC editing sits inside our scope; sourcing the raw asset does not. UGC market average runs around $198 per deliverable, with beginner creators at $75-$300, mid-tier at $300-$1,000, and premium professionals commanding $600-$3,000+. Add 30-150% on top for paid ad usage rights, and another $50-$100 per variation if you are testing multiple 3-second hooks against the same body.
- Internal time. Senior marketers and founders typically spend 20-30% of their week interfacing with the agency, approving creative, supplying inventory and margin data, and weighing in on strategy. For a marketing director on $120K, that is roughly $36K of annual opportunity cost paid in attention.
Stating it plainly so you can model the full P&L, not just the line item on the invoice.
Why Creative-First, And Why Now
The platforms commoditized buying. The creative is the targeting.
If you upload a video of a senior discussing joint pain, Meta's algorithms analyze the visual and the audio transcript, and the ad finds older users whose behavior suggests joint-health interest, without a buyer ever picking an age band. The asset itself dictates the audience the platform finds for it. An agency's creative output is therefore the ceiling of an agency's performance.
That is why we built the service around creative velocity rather than bolting a creative team onto a media-buying retainer. The wedge thesis is laid out in full in creative is the new targeting; the strategic frame for direction and angle development lives in creative strategy.
Adjacent Services That Plug In
When the account needs them, we wire in:
- Budget split work between brand vs performance
- LTV lever programs to raise the ceiling on what acquisition can profitably pay
- Cohort analysis to drive spend decisions on the right data
- Influencer marketing where the creator pipeline doubles as the creative pipeline
- Native ad formats for accounts pushing into Outbrain, Taboola, and editorial placements
CTA: Book A Paid Media Audit
The entry point is a paid media audit. You get a read on three things: account architecture (where structure is leaking spend), creative velocity (whether the engine is shipping at the rate the algorithm needs), and MER versus platform-ROAS reconciliation (what the numbers are actually telling you once attribution overlap is stripped out).
If you already know the bottleneck is creative production specifically, route directly to the creative agency scope. Either path opens the same conversation.