8+ years growing brands on KPIs, now with AI
Performance Marketing for DTC Nutrition Brands That Live and Die by Blended ROAS
We help nutrition brands acquire new subscribers at a profitable CAC payback, build the retention backend that makes the math work, and deploy AI where it creates real creative and attribution edge, not theater.
Google Ads · Meta · TikTok · 8+ years growing ecommerce brands on KPIs, not vanity metrics
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The Challenge
Running a Nutrition Brand Right Now Is a Unit-Economics Problem, Not a Marketing Problem
You already know the playbook. Meta for acquisition, Klaviyo for retention, Google for branded and ingredient-intent capture. The problem isn't that you don't know the channels. It's that the math is getting harder to close every quarter.
Health and Wellness CPMs on Meta average $19.30 (among the highest on the platform) because AG1, Ritual, Hims, and Thorne are bidding against you for the same inventory. Your nCAC is running $68–$120 depending on category, and your first purchase rarely pays back. The second and third orders do. That means your entire business model is a bet on subscription retention, and every dollar of ad spend is a loan you're making to your future self.
The compounding pressure: Meta and Google both claim credit for the same conversion. iOS changes broke the attribution you used to trust. Your creative library fatigues in two to three weeks because UGC-style ads (the format that actually converts) require constant production volume you don't have a system for. And in the background, Q4 CPMs run 30–50% above the annual average, which means the window when everyone wants to spend is exactly when it costs the most to acquire a customer.
Meanwhile, your seasonality isn't uniform. If you sell protein or weight-loss products, January is your Super Bowl. You need to be fully loaded with creative and budget by December 26, not scrambling in the second week of January. If you sell immune support, your peak is October through January and your summer trough can swing sales 30–40% below peak. If you sell electrolytes or hydration products, summer is your Q4. A flat monthly ad spend ignores all of this and costs you real revenue.
The operators who grow in this environment aren't spending more. They're spending smarter. That means a MER ≥ 3.0 as the north star, a subscription backend that converts one-time buyers within 90 days, and a creative system that produces enough angles to find what works before fatigue sets in.
The Opportunity
The Brands Winning in Nutrition Right Now Are Playing a Different Game
Supplement brands on Shopify hit a 37.7% repurchase rate in 2024, up from 33.1% the year before. That means the retention math is improving, but only for brands that have the acquisition and post-purchase infrastructure to capture it. A subscriber spending $80 per order, reordering three times a year, staying for two to three years represents $480–$720 in LTV. At that number, a first-purchase ROAS of 2:1 isn't a failure. It's the right target, as long as the subscription backend converts.
The opportunity isn't to outspend AG1. It's to out-execute the mid-market: the $5M–$50M brands that are running roughly the same Meta playbook, using the same Klaviyo templates, and testing one ad creative per month. The brands breaking through are testing five to ten creative angles per week, using incrementality thinking instead of platform-reported ROAS, and treating their email and SMS flows as a revenue engine, not an afterthought.
TikTok is creating a real arbitrage window right now. Many brands report that pausing TikTok spend causes measurable drops in Google branded search volume and Meta retargeting pool sizes, meaning TikTok is driving top-of-funnel demand that converts across every other channel. The brands seeding TikTok with UGC-style content today are building retargeting audiences and branded search volume their competitors aren't. That advantage compounds.
Google Search and Shopping remain underutilized by nutrition brands focused entirely on Meta. Ingredient-specific queries — 'creatine monohydrate,' 'magnesium glycinate sleep,' 'AG1 alternative' — carry purchase intent that Meta prospecting can't match. Capturing that intent at a 4.5:1 median ROAS while Meta handles discovery is the full-funnel architecture that makes blended MER math work.
The window is real. Most mid-market nutrition brands are not running this playbook with the discipline it requires. The ones that build the system — creative velocity, attribution clarity, retention infrastructure — in the next 12 months will be the ones still standing when the next round of CPM increases hits.
What Most Get Wrong
What Most Nutrition Brands (and the Agencies That Work With Them) Get Wrong
Optimizing for platform ROAS instead of MER
Meta reports a 4:1 ROAS. Google reports a 5:1. Your actual revenue divided by total ad spend is 2.1. Both platforms are claiming credit for the same conversion, and you're making budget decisions based on numbers that don't reflect reality. Brands that optimize to platform-reported ROAS scale the wrong channels and erode margin while the dashboard looks healthy.
Treating the first purchase as the profit event
At a $75–$120 nCAC, a single $80 order doesn't pay back. Brands that measure success at the first transaction (and agencies that report first-purchase ROAS as the KPI) are optimizing for a number that doesn't reflect the actual business model. The profit is in the second and third order. If your post-purchase flow isn't converting one-time buyers to subscribers within 90 days, you're running a very expensive sampling program.
Running one creative per ad set for weeks
UGC-style ads outperform polished studio content in this category, but they fatigue in two to three weeks at meaningful spend levels. Brands running one or two creatives per month are spending most of their budget on fatigued assets while their best-performing angle is still undiscovered. Creative testing velocity is the single biggest lever available to a nutrition brand right now, and most brands don't have a system for it.
Ignoring seasonality in budget pacing
A flat monthly ad spend treats January like August. For protein and weight-loss brands, January is the highest-intent month of the year. Resolution buyers are actively searching and converting. Brands that didn't pre-load creative and budget by late December are buying the most expensive January inventory at the last minute, or missing the window entirely. For immune brands, spending equally in July and November wastes budget in the trough and underspends at peak.
Bringing on an agency that doesn't understand FTC/FDA compliance in creative
A non-compliant health claim in an ad — 'cures,' 'treats,' 'prevents' applied to a supplement — gets the ad rejected or the account flagged. Agencies without direct experience in DSHEA-compliant copywriting either produce ads that don't run, or water down the messaging so much it doesn't convert. This isn't a legal abstraction; it's a live operational constraint that shapes every headline and every creative brief.
Why Now
Why the Next 12 Months Are the Window, and Why Early Movers Win It
Two things are happening simultaneously in DTC nutrition that create a short-term advantage for brands willing to move now.
First, the AI inflection. Most nutrition brands (and most agencies serving them) are still running creative testing the old way: brief a designer, wait a week, test one angle, read results in 30 days. AI-assisted creative production and testing compresses that cycle dramatically. A brand running 8–12 creative variants per week against a structured testing framework finds winning angles in days, not months. At $19.30 Health and Wellness CPMs, finding a winning creative two weeks earlier than your competitor is worth real money at scale.
Second, the attribution problem is solvable now in ways it wasn't three years ago. Post-iOS, brands that gave up on measurement and just 'trusted the algorithm' are flying blind. AI-assisted analytics — tools like Triple Whale and Northbeam, used correctly — can surface incrementality signals, catch attribution overlap between Meta and Google, and give you a MER picture that's actually actionable. The brands building this infrastructure now will have 12–18 months of clean data to make decisions from while competitors are still guessing.
The TikTok window is also time-sensitive. TikTok's ad costs are still meaningfully lower than Meta's for health and wellness audiences, and TikTok Shop is creating a new purchase path that didn't exist 18 months ago. The brands seeding UGC content on TikTok today are building retargeting audiences and branded search volume at a cost that will not be available in two years as the platform matures.
Roughly 90% of DTC supplement brands close by year five, most because they scaled acquisition without building a retention system that makes the unit economics work. The brands that invest in the full-funnel infrastructure now — creative velocity, attribution clarity, subscription backend — are the ones that reach the $20M+ tier where the math gets easier. The window to build that infrastructure before your next peak season is shorter than it feels.
The Mechanism
Where AI Actually Moves the Numbers for a Nutrition Brand
Real productivity, not AI theater. Here's where it actually moves a number for nutrition brands.
Creative
What AI does: AI-assisted creative briefing and production generates 8–12 UGC-style ad variants per week — different hooks, different benefit angles, different social proof formats — structured for systematic A/B testing across Meta and TikTok.
The result: Winning creative angles identified in days instead of months, with a continuously refreshed library that prevents the fatigue cycles that inflate CPMs on tired assets.
Why it matters here: In a category where UGC-style ads outperform studio content and Health and Wellness CPMs average $19.30, creative velocity is the primary lever available to a mid-market brand. Finding a winning hook two weeks earlier than a competitor at $50k/month in spend is a meaningful cost-per-acquisition advantage, not a marginal one.
Analytics
What AI does: AI-assisted MER and attribution analysis across Meta, Google, and TikTok: surfacing incrementality signals, flagging attribution overlap where both platforms claim the same conversion, and building a clean blended ROAS picture that reflects actual revenue divided by actual spend.
The result: Budget allocation decisions based on what's actually driving new customer revenue, not what each platform's self-reported dashboard claims.
Why it matters here: Nutrition founders think in MER and blended ROAS, not platform ROAS, but most are still making channel budget decisions from platform dashboards that double-count conversions. An AI layer that continuously reconciles attribution data and flags anomalies catches the kind of misfiring pixel or view-through inflation that can quietly erode margin for months before anyone notices.
What AI does: AI-optimized post-purchase and replenishment flows in Klaviyo: dynamic send-time optimization, subject line testing at scale, and churn-risk scoring that triggers win-back sequences before a subscriber cancels rather than after.
The result: Higher 90-day repurchase rates and lower subscription churn, which directly improves CAC payback period and LTV:CAC ratio.
Why it matters here: At a $68–$120 nCAC, a supplement brand needs two to three repeat orders to reach a 3:1 LTV:CAC ratio. The first order is a loan. Email and SMS flows are where that loan gets repaid, or doesn't. An AI layer that identifies which subscribers are at churn risk before they cancel, and triggers the right intervention at the right moment, is the difference between a 37% repurchase rate and a 50% one.
Digital Ads
What AI does: AI-driven budget pacing that adjusts spend allocation across Meta, Google, and TikTok in response to MER signals, creative performance data, and seasonal demand patterns: scaling into January resolution peaks and immune supplement fall windows, pulling back during Q4 CPM spikes when inventory costs outrun return.
The result: Ad spend follows demand and margin opportunity instead of a flat monthly budget, capturing high-intent seasonal windows without overpaying for Q4 inventory.
Why it matters here: Nutrition brands with multiple SKUs face two to three distinct seasonality curves simultaneously: protein peaks in January, immune products peak October through January, hydration products peak in summer. A flat monthly budget misallocates across all of them. AI-assisted pacing that responds to actual performance data and seasonal signals captures the windows competitors miss.
Conversion Optimization
What AI does: AI-reviewed landing pages and product detail pages optimized for subscribe-and-save conversion, testing bundle presentation, S&S discount framing, social proof placement, and free-shipping threshold messaging to increase the percentage of first-time buyers who choose subscription over one-time purchase.
The result: Higher S&S attach rate on the first transaction, which compresses CAC payback period and improves the LTV:CAC ratio without requiring more ad spend.
Why it matters here: The difference between a 25% and a 40% subscribe-and-save attach rate on first purchase changes the entire unit economics model. A brand converting 40% of first-time buyers to subscribers at $80/order reordering monthly reaches CAC payback in 60 days instead of 90. That 30-day difference, at scale, is the margin between a brand that can afford to grow and one that can't.
Ready to see what this looks like for your nutrition brands business?
No obligation. A senior strategist will show you exactly where the wins are.
The Strategy
The Marketing Architecture That Makes DTC Nutrition Unit Economics Work
The strategy for a nutrition brand isn't complicated to describe. It's hard to execute with discipline. Here is exactly how we think about it.
Start with attribution infrastructure. Before touching ad spend, you need a clean MER picture. That means a properly configured analytics layer — Triple Whale, Northbeam, or equivalent — reconciled against your Shopify revenue, with platform-reported ROAS treated as a directional signal, not a budget decision input. If your pixel has ever misfired, you've been making decisions on bad data. Fix this first.
Meta is the primary acquisition engine. UGC-style creative, structured creative testing (8–12 variants per week, not one per month), and audience architecture built around your highest-LTV customer profiles, not broad interest targeting. Prospecting campaigns optimized for new customer acquisition, retargeting campaigns built around your subscription offer. Every creative brief written with FTC/FDA DSHEA compliance as a constraint, not an afterthought.
Google Search and Shopping capture the demand Meta creates. Branded queries, ingredient-specific queries ('creatine monohydrate 5g,' 'magnesium glycinate 400mg,' 'AG1 alternative'), and competitor-adjacent terms. Google's 4.5:1 median ROAS for Search campaigns makes this the highest-return channel for in-market buyers. It should not be underfunded relative to Meta.
TikTok handles top-of-funnel demand generation and builds the retargeting pool that makes Meta and Google more efficient. Seeding UGC content through TikTok's creator ecosystem, with TikTok Shop as a conversion path for the right SKUs. Budget here is smaller but the audience-building effect is measurable across other channels.
Email and SMS in Klaviyo are the profit center, not a support function. Post-purchase flows that convert one-time buyers to subscribers within the first 30 days. Replenishment reminders timed to consumption cycles (30-day supply, 90-day supply). Win-back sequences triggered by churn-risk signals before cancellation. A/B testing on subject lines and send times at scale. This is where the LTV:CAC math closes.
Budget pacing follows your SKU's seasonality curve, not a calendar month. Protein and weight-loss brands pre-load creative and budget by December 26. Immune brands scale into October. Hydration brands scale into May. Q4 CPM spikes are treated as a signal to shift spend toward January pre-loading, not to chase holiday shoppers at 40% premium inventory costs.
Every decision is measured against MER ≥ 3.0 as the governing metric, with nCAC payback period under 60 days as the subscription-model constraint.
The one number that governs this
Governing KPI: Blended MER ≥ 3.0 across all paid channels, with new-subscriber CAC payback under 60 days, measured in your analytics layer, not in platform dashboards.
How We Help
How Sagum Executes This for Your Nutrition Brand
We map our work directly to the strategy above, in the sequence that actually moves your numbers. We take on few clients so each one gets senior attention, and our success is tied to your MER and CAC payback, not a monthly retainer that runs regardless of results.
Attribution & Analytics Infrastructure
Before touching ad spend, we configure your analytics layer — Triple Whale, Northbeam, or equivalent — reconcile it against Shopify revenue, and give you a clean MER picture you can actually make decisions from. If your pixel has misfired, we find it and fix it before it costs you another month of bad data.
Meta Ads (Prospecting + Retargeting)
We build and manage your Meta campaigns around new-subscriber acquisition: UGC-style creative testing at 8–12 variants per week, audience architecture built from your highest-LTV customer profiles, and a subscription-offer retargeting layer. Every creative brief is written DSHEA-compliant from the first draft.
Google Search & Shopping
We capture the in-market demand your Meta spend creates — branded queries, ingredient-specific searches, and competitor-adjacent terms — at the 4.5:1 median ROAS Search campaigns deliver for this category. Google is not an afterthought in our nutrition brand builds; it's the high-intent complement to Meta's discovery engine.
TikTok Ads & TikTok Shop
We seed UGC content through TikTok's creator ecosystem to build top-of-funnel awareness and grow the retargeting pool that makes Meta and Google more efficient. For the right SKUs, we build TikTok Shop as a direct conversion path alongside the DTC site.
Creative Production & Testing Systems
We build the creative velocity system your brand needs: structured briefing, AI-assisted production, and a weekly testing cadence that finds winning hooks in days, not months. The output is a continuously refreshed library of DSHEA-compliant UGC-style assets across Meta and TikTok.
Email & SMS (Klaviyo)
We build and optimize your post-purchase flows, replenishment reminders, and win-back sequences, with AI-assisted churn-risk scoring that triggers intervention before a subscriber cancels. This is where your LTV:CAC math closes, and we treat it as a primary revenue channel, not a support function.
Conversion Optimization
We test and optimize your subscribe-and-save attach rate on first purchase — bundle presentation, S&S discount framing, social proof placement, and free-shipping threshold messaging — using AI-assisted page analysis to identify and close conversion leaks continuously.
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 scaling a DTC food brand with a misfiring pixel quietly inflating their reported numbers, meaning budget decisions were being made on data that didn't reflect actual revenue. The attribution problem had to be solved before growth could be trusted.
What we did
Sagum caught the pixel error, fixed the attribution layer, then scaled spend across TikTok, Google, and Pinterest with a creative and channel strategy built on clean data. Every budget decision from that point was made against real MER, not platform-reported ROAS.
Result
95% growth in six months and 217% year-over-year growth, with a 64% improvement in ROAS versus plan. The same discipline that applies to a food brand's attribution and creative infrastructure applies directly to a nutrition brand managing multiple SKUs across a complex seasonality calendar.
Your Nutrition Brand's Unit Economics Are Solvable, If the Infrastructure Is Right
No obligation. We'll audit your current MER, attribution setup, and creative velocity, and show you exactly where the gaps are, built around your brand's SKUs, seasonality, and subscription model.
Sagum · January 2017 · St. George, Utah · 8+ years