8+ years growing brands on KPIs, now with AI
Grow Your DTC Brand on Real Numbers
We run Meta, TikTok, and Klaviyo around your blended MER and contribution margin, not what the dashboards claim.
8+ years growing DTC brands · Google, Meta & TikTok partners · AI-assisted, operator-run
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The Challenge
Your Ad Platform Says 3x ROAS. Your Bank Account Disagrees.
You're spending real money across Meta and TikTok, your Klaviyo flows are live, and every dashboard looks fine. But blended MER is drifting, new-customer CAC keeps climbing, and when you stack up what Meta claims, what Google claims, and what Klaviyo claims, the total revenue credited is 40% higher than what Shopify actually recorded. That gap is not a reporting quirk; it is where your margin is disappearing.
The structural problem: after iOS 14 and ATT, Meta and Google both over-credit themselves and double-count the same conversions. Adding platform-reported ROAS numbers together is not the same as knowing whether your business is profitable. The operators who figured this out early scaled confidently. The ones who didn't hit a profitability cliff somewhere north of $500K/month when the attribution math finally caught up.
Meanwhile, median DTC contribution margin has compressed from 35% in 2021 to roughly 22% today as paid CPMs have nearly doubled since 2020. Running a DTC brand in 2025 means every scaling decision has to be made against CM2 (revenue minus COGS, minus 3PL pick/pack, minus Shopify Payments fees, minus return reserves), not gross margin. Gross margin doesn't include the costs that scale with every order you ship.
And retention is quietly bleeding most brands. Only 18.8% of DTC customers make a second purchase within a year. If your Klaviyo account has three or four basic flows, a weekly blast to your full list, and no RFM segmentation, you are leaving the compounding effect of a real retention program entirely on the table, and paying Meta to re-acquire customers you already own.
The Opportunity
The Brands Winning DTC Right Now Are Playing a Different Game
The opportunity is not 'spend more on Meta.' It is building the machine so that every dollar you spend on acquisition is measured against a number your bank account can verify (MER) and every customer you acquire is worth more because your retention program is actually working.
Klaviyo flows, built and maintained properly, generate close to 41% of total email revenue from just 5.3% of total sends. Top-quartile brands drive 30–40% of total store revenue through email alone. If email is currently driving 10–15% of your revenue, that gap is not a content problem; it is an architecture problem. Welcome series, browse abandonment, post-purchase cross-sell, replenishment, and winback flows built around RFM segments and continuous A/B testing compound quietly while your paid acquisition runs.
TikTok Shop is a separate decision from TikTok Ads, and most DTC operators are conflating the two. You can build meaningful TikTok Shop GMV through organic creator affiliate activity (creators earn a commission, you provide product, TikTok's algorithm surfaces content that converts) without committing a single dollar of media budget. That is a customer acquisition channel with economics that look nothing like Meta CPMs at $25.
The brands scaling profitably right now are the ones who fixed attribution first, know their CM2 to the dollar before scaling spend, have a Klaviyo program that earns 30%+ of revenue, and use MER as the single governing metric that tells them whether to press the accelerator or ease off. That machine is buildable. Most of your competitors have not built it.
What Most Get Wrong
What Most DTC Brands (and Most Agencies) Get Wrong
Optimizing to platform ROAS instead of blended MER
Meta reports 4x. Google reports 6x. You feel good. But MER is 2.1x and CAC payback is running 9 months. Scaling on platform-reported ROAS while blended MER deteriorates is how brands spend $100K/month and quietly lose money on every new customer.
Scaling paid spend without knowing CM2
Gross margin looks fine at 55%. But after 3PL pick/pack, Shopify Payments fees (2.4–2.9% + $0.30 per transaction), return reserves, and shipping, contribution margin is 18% and you are losing $4 on every order at your current AOV. Brands have been audited at $50K/month on Meta in exactly this position.
Running Klaviyo like a campaign channel, not a retention engine
Three basic flows, a weekly blast to the full list, no segmentation, no deliverability monitoring. The result is list burn, declining open rates, and email driving 8% of revenue when it should be driving 30%. A poorly integrated flow stack leaks 10–30% of automation revenue with no error messages, just lower numbers than the account should produce.
Agencies that report great channel metrics while MER deteriorates
The most common DTC agency failure mode: the account looks healthy in every dashboard the agency controls, and blended MER is quietly sliding. If your agency cannot show you how their work affects total Shopify revenue divided by total marketing spend, they are optimizing for their reporting, not your P&L.
Treating TikTok Ads and TikTok Shop as the same decision
Most brands either ignore TikTok entirely or dump media budget into TikTok Ads without testing TikTok Shop's creator affiliate model first. TikTok Shop GMV built through organic creator content has fundamentally different unit economics, and most DTC operators have not separated the two decisions.
Why Now
Why the Operators Who Move Now Will Be Harder to Catch in 12 Months
First-time-customer MER is deteriorating faster than blended MER across the DTC category: new-customer CAC rose roughly 9% in 2025 and CPMs peaked at over $25 in Q4. The brands that will win the next cycle are not the ones that spend more; they are the ones that extract more from what they spend by fixing the measurement layer, compounding retention, and finding acquisition channels (like TikTok Shop creator affiliates) before they get crowded.
AI is now a practical tool in this stack, not a pitch. It changes the creative testing math: instead of running two or three ad concepts a month and waiting for a winner, a disciplined operator can generate and test significantly more angles per week, identify what is actually driving conversions at the creative level (hook versus offer versus format), and rotate winning concepts before fatigue sets in. At Meta CPMs where they are today, creative velocity is a direct cost lever.
The same applies to Klaviyo. AI-assisted segmentation and flow architecture can identify the behavioral triggers (browse depth, purchase frequency, predicted CLV) that a manually managed account misses. The brands building these systems now are compounding a retention advantage that will be measurable in MER within two quarters.
Most of your competitors are still running the same three flows, the same two ad creatives, and the same flat monthly budget. The window to build a machine they cannot easily replicate is open right now, and it closes as the tools become table stakes.
The Mechanism
Where AI Actually Moves the Number for a DTC Brand
Real productivity, not AI theater. Here's where it actually moves a number for dtc brands.
Creative & Paid Social
What AI does: AI-assisted creative generation and structured testing across Meta and TikTok: systematically varying hook, offer, format, and visual angle at a volume a human team cannot match manually
The result: More winning concepts found faster, creative fatigue caught earlier, and a lower effective CPM because the algorithm rewards relevance
Why it matters here: At $25 CPMs and a median blended CAC near $87, creative is the most accessible cost lever left in paid DTC acquisition. A brand testing 15 distinct creative angles a week learns faster than a competitor testing 2.
Analytics & Attribution
What AI does: AI-assisted reconciliation between platform-reported ROAS and actual Shopify revenue: surfacing the MER/ROAS gap, flagging pixel misfires, and building a blended view that includes first-party and post-purchase survey signals
The result: Budget allocation decisions made on numbers that reconcile with your bank account, not numbers Meta and Google each claim independently
Why it matters here: The most common DTC scaling mistake is pressing the accelerator on platform ROAS while MER slides. Catching attribution overlap early (the kind a misfiring pixel creates silently) is the difference between scaling profitably and hitting a cash wall at $500K/month.
Email & Retention (Klaviyo)
What AI does: AI-assisted flow architecture and RFM-based segmentation: identifying the behavioral triggers (browse depth, purchase recency, predicted CLV) that move a customer through welcome, post-purchase, replenishment, and winback sequences with precision a manually managed account cannot sustain
The result: Email driving 30%+ of total store revenue from automated flows, with deliverability maintained and list health compounding rather than burning
Why it matters here: Klaviyo flows generate nearly 41% of total email revenue from just 5.3% of sends at top-performing brands. If email is driving 10–15% of your revenue today, the gap is an architecture problem, and it is the highest-ROI fix available because the customers already exist in your list.
Conversion Optimization
What AI does: AI-reviewed landing pages and product detail pages against CM2-aware conversion targets: identifying friction points, testing headline and offer framing, and optimizing for AOV alongside conversion rate
The result: Higher revenue per session from the traffic already being paid for, with AOV improvements that directly widen contribution margin
Why it matters here: When contribution margin is running at 22% and CAC is near $87, a 20% lift in conversion rate or a $15 AOV increase changes the unit economics of the entire acquisition program, not just the landing page.
Ready to see what this looks like for your dtc brands business?
No obligation. A senior strategist will show you exactly where the wins are.
The Strategy
The DTC Marketing Strategy That Actually Scales
The governing metric is blended MER (total Shopify revenue divided by total marketing spend) because it is the only number that is attribution-independent and reconciles with your actual results. Platform ROAS is a diagnostic input, not the decision variable. Every budget allocation decision runs through MER first.
Acquisition runs on Meta as the primary channel (it takes 61–68% of DTC ad dollars for a reason) with TikTok Ads tested as a supplementary channel once Meta is dialed in. TikTok Shop creator affiliate programs are evaluated separately from media budget, because the unit economics are structurally different and do not compete for the same dollars.
Creative is treated as a performance variable, not a production task. The strategy calls for a continuous testing cadence (multiple angles per week, structured by hook, offer, format, and audience) with winners scaled and losers cut on a defined schedule. At current CPMs, creative velocity is a cost lever.
Retention is built on Klaviyo with a full five-flow architecture: welcome series, browse abandonment, abandoned cart and checkout, post-purchase (cross-sell, review request, replenishment), and winback, each segmented by RFM behavior, not just purchase history. SMS is integrated as a higher-urgency layer, not a duplicate blast channel. Target: email driving 30%+ of total store revenue from automated flows.
Attribution is fixed before spend is scaled. That means reconciling platform-reported numbers against Shopify actuals, deploying first-party pixel signals, and using post-purchase survey data as a zero-party check. The MER/ROAS gap is measured weekly. If the gap is widening, spend does not increase until the source is identified.
CAC payback is tracked by cohort (not blended across all customers) because a 3-month payback and a 9-month payback look similar in aggregate and very different on a cash flow statement. The target is under 6 months, with under 3 months as the threshold for aggressive scaling.
The one number that governs this
Governing KPI: Blended MER (Shopify revenue ÷ total marketing spend) · New-customer ROAS as acquisition health signal · CM2 as the profitability floor before any spend increase
How We Help
What We'd Actually Do for Your DTC Brand
Here is how Sagum executes the strategy above for a DTC brand at your stage. We take on a limited number of clients so every engagement gets senior attention, not a junior account manager running your Klaviyo account while a strategist you met once checks in monthly. Your numbers are treated like ours.
Attribution & Measurement Audit
Before scaling anything, we reconcile your platform-reported ROAS against Shopify actuals, identify pixel errors and attribution overlap, and build the blended MER view that governs every subsequent decision. This is the first 30 days, because scaling on broken numbers is how brands hit profitability cliffs.
Meta Ads Management
We run your Meta acquisition program against a MER target and CM2 floor, not a platform ROAS goal. That means budget allocation tied to what Shopify actually records, creative testing at a volume that finds winners before fatigue sets in, and audience architecture built around new-customer CAC payback by cohort.
TikTok Ads & TikTok Shop Strategy
We separate the TikTok Ads decision from the TikTok Shop creator affiliate decision, because they have different unit economics and should not compete for the same budget. We evaluate both and build the approach that fits your current CAC payback target.
Creative Strategy & Production
We run a continuous creative testing cadence (multiple angles per week, structured by hook, offer, format, and visual) with AI-assisted generation and structured performance review. At current CPMs, creative velocity is the most accessible cost lever in paid DTC acquisition.
Klaviyo Email & SMS
We build or rebuild your full five-flow architecture, implement RFM-based segmentation, run monthly deliverability audits, integrate SMS as a complementary urgency layer, and A/B test continuously. Target: email driving 30%+ of total store revenue from automated flows, not campaign blasts.
Conversion Rate Optimization
We optimize landing pages and PDPs against CM2-aware targets, because a conversion rate lift and an AOV increase both widen contribution margin, and at 22% median CM2 across DTC, that math matters more than it did four years ago.
AI Systems & Ongoing Analytics
We build AI into the workflow where it moves a number: creative generation and testing cadence, Klaviyo segmentation and flow triggers, and weekly MER/ROAS reconciliation. You own your accounts. You see the same data we see. We report on blended MER, not dashboard metrics.
Who's Behind This
Who we are, and what makes us different
Sagum is a performance marketing agency founded in January 2017 in St. George, Utah. We've spent 8+ years growing real brands and being judged on KPIs, not vanity metrics.
We deliberately limit how many clients we take so each one gets senior attention. We treat your numbers like our own, we never run generic playbooks, and your strategy is built for your business, because shouldn't your brand's marketing be custom to your brand?
Sagum.ai is our AI arm: the same proven operators now build AI into the work wherever it creates real edge, not as theater, but as leverage applied with discipline.
- 8+ years growing brands on performance KPIs, not vanity metrics
- Limited client roster, with senior attention on every account
- An extension of your team; your success is tied to ours
- Custom strategy per brand, never a generic playbook
- AI built in where it moves a number; judgment over hype
“Sagum is a performance marketing agency that's spent 8+ years growing brands by treating their numbers like our own. We take on few clients, never run generic playbooks, and now build AI into the work wherever it creates real edge, not hype. Your strategy is built for your business, and our success is tied to yours.”
“Sagum roughly doubled our bottom line. They treat the work like it's their own business.”
Proof
95% growth in 6 months, 217% YoY after fixing a misfiring pixel
Ballerina Farm
Challenge
Ballerina Farm was running paid media across multiple channels but had a misfiring pixel that was inflating reported numbers: the classic MER/ROAS gap problem. Decisions were being made on attribution data that did not reconcile with actual Shopify revenue.
What we did
Sagum caught the pixel error, corrected the measurement foundation, then scaled TikTok, Google, and Pinterest with accurate data driving every budget allocation decision.
Result
The brand hit 95% growth in 6 months and 217% year-over-year growth, with ROAS coming in 64% better than planned, because the strategy was built on numbers that were actually true. Full details at sagum.com/case-studies/.
Find Out Where Your MER Is Leaking, and What to Do About It
No obligation. We will look at your blended MER, attribution setup, and Klaviyo architecture and tell you specifically where the gaps are, whether or not we work together.
Sagum · January 2017 · St. George, Utah · 8+ years