We've worked with premium D2C brands across supplements, skincare, and lifestyle categories. We optimize for LTV — not vanity ROAS. We've built channel-mix programs that survived iOS 14.5, navigated Performance Max, and made the Amazon-vs-DTC decision honestly. Most agencies haven't.
Most ecom agencies are still optimizing for last-click ROAS. That made sense in 2018. In 2026, with iOS privacy changes and Performance Max black-boxing the data, that's a recipe for slowly going broke. The brands that win are the ones thinking in LTV.
The "we'll just retarget cart abandoners" plays from 2018 don't work the same way. Match rates dropped. Conversion API setups are mandatory now. Most agencies haven't actually rebuilt their measurement stack. They're reporting numbers from a broken pixel and pretending it's fine.
PMAX can be a money printer. It can also be a money fire. Most agencies "set it" with default settings and let Google decide where to spend. That's not management. That's hoping. We use feed control, asset group strategy, and audience signals to actually direct PMAX — not just unleash it.
Amazon takes margin. Amazon owns the customer relationship. But Amazon also drives 40% of online product searches. The right answer isn't "all-in on DTC" or "all-in on Amazon" — it's a thoughtful channel mix. Most agencies are religious about one or the other. We're not.
You can run a 4× ROAS campaign that's actually losing money if your repeat rate is too low. Most agencies will never tell you this. We start every engagement with cohort analysis: what does your real LTV look like? What's the breakeven CAC? Then we work backwards from there.
The same Get Found / Get Leads / Get Content engine — tuned for how shoppers actually research, compare, and buy premium consumer products.
Premium D2C is a stack of very different businesses. Supplements, skincare, and apparel run on completely different unit economics. We've built repeatable plays in the verticals where margin and LTV justify our model.
Subscription-driven LTV models. Compliance-aware claims, ingredient-led content, repeat-rate optimization.
Routine-based LTV. Creator marketing integration, before/after testing, ingredient-story positioning.
Higher AOV but lower repeat. Catalog-driven Shopping, lifestyle creative, seasonal cadence.
Considered-purchase D2C. Long research cycle, video creative, room-styling content authority.
FDA-adjacent claim discipline. Education-led content, condition-specific (where allowed) targeting.
Subscription-friendly category. Owner-emotional creative, breed/condition targeting, repeat-rate focus.
Gift & subscription dynamics. Seasonal campaigns, cohort-driven retention, premium positioning.
High AOV, low frequency, brand-driven. Halo brand campaigns, retargeting tightening, retail-store integration.
Every engagement starts with cohort analysis: what does your real 12- and 24-month LTV look like? What's your repeat purchase rate? What's the breakeven CAC the math actually supports? Most agencies skip this because the answer is sometimes "your unit economics don't support paid acquisition."
We'd rather tell you that on day one than three months in. From there, we build channel-mix programs that respect the math — Amazon where it makes sense, DTC where it makes sense, retention as a profit driver. No religion about channels. Just what works for your unit economics.
ROAS is a trap. We measure LTV.
Bob Clary / Founder, Purple Frog
30 minutes. We'll review your channel mix, ad accounts, attribution setup, repeat rate, and the math behind it all — and tell you straight whether the unit economics actually support what you're spending.