Nonprofit DTC brand selling handmade fair-trade goods from Haiti. Target ROAS 3.0 on $1,500/mo - exceeded consistently after finding the winning formula.
Nonprofit DTC brand · United States - name hidden at the client's request.
A nonprofit DTC brand selling premium handmade fair-trade goods from Haiti - nightgowns, home goods, baby products and gift items. Every purchase directly supports women artisans in Haiti by funding jobs, healthcare and education. The store runs on Shopify with 450+ products, and the brand combines genuinely high product quality with a strong social mission - targeting conscious, mission-driven consumers in the US market.
The entire ad budget was going to awareness and engagement - not a single sale campaign was running. The account looked active, but none of that activity was pointed at revenue.
The account was running three campaigns, none optimized for sales:
Meta Ads Manager - Aug 1–21, 2025. All budget going to awareness and boosted posts, zero sales campaigns.
Two goals were set against that starting point
The primary target - every $1 spent on ads should return at least $3 in revenue. Previous efforts never reached this benchmark.
Move the account from awareness-only spend to a real conversion-optimized system - proper audience targeting, creative strategy and catalog integration.
The account wasn't underfunded - it was pointed at the wrong objective, with none of the structure a sales system needs. Four issues compounded:
Optimized for impressions, not purchases. Reach and engagement objectives teach the algorithm to find people who look, not people who buy. The dashboards looked healthy; the revenue line stayed flat.
No working audience. No tested, converting segment had ever been identified - spend was spread across broad, unqualified targeting.
No sales campaign structure. Previous attempts at conversion campaigns had only burned budget, with no prospecting-and-retargeting framework behind them.
No creative-to-catalog connection. Creatives weren't tied to the Shopify catalog, so the account couldn't run the dynamic, product-level sales that DTC depends on.
The plan was deliberately sequential: test broadly to find what converts, cut everything that doesn't, then concentrate budget on the winner and scale it without destabilizing the algorithm.
Launched campaigns across multiple product categories (holiday sets, all products, nightgowns) and several audiences. Cut the underperforming segments - moms 30+ with baby products, grandmothers 50+ with baby products, lookalikes based on baby-product buyers - to stop wasting budget. Result: ~$761 spent, 4 purchases, CPA ~$190.
Identified nightgowns as the strongest-performing category. Shut down the "Sales All Products" test campaign ($67.21 spent, zero purchases) and concentrated all budget on the Nightgowns Sales campaign. ROAS climbed to 2.67 (Sep 18–24), then 3.56 (Sep 22–28) - 6 purchases at $32.20 CPA.
Launched a retargeting campaign (Nightgowns Sales retarg) but it showed high CPC ($3.54), low CTR (1.28%) and zero purchases. Paused it and returned the budget to the main campaign - a quick, disciplined cut rather than a slow bleed.
Identified the best audience: women 50–65+ in warm US states (Arizona, California - Los Angeles +25mi, San Diego +25mi - Florida, Hawaii, Nevada, South Carolina, Texas). Detailed targeting: interests - Online Shopping; behavior - Engaged Shoppers. Combined with the Advantage+ catalog and creatives (images + video). Applied gradual budget scaling ($45 → $55/day in small increments) instead of duplicating campaigns - preserving algorithm stability. Result: 28 purchases, $2,889.82 revenue, $327.40 spent, ROAS 8.83 - the best week in the account's history.
Maintained consistent weekly results after locking in the winning formula. Activated retargeting during seasonal peaks (Valentine's Day) - it worked well with promo offers: Feb 2–8 delivered 23 purchases at ROAS 3.45. Applied gradual budget adjustments (+$2/day) to preserve algorithm stability. Refreshed creatives for Black Friday and added new videos and images to the catalog.
Women 50–65+, warm US states (AZ, CA, FL, HI, NV, SC, TX), Advantage+ catalog with creatives (images + video), gradual budget scaling. This became the foundation for stable, ongoing performance - adjusted for seasonality and scaled without breaking the algorithm.
Best-performing week - October 27 – November 2, 2025Peak efficiency: highest revenue at the lowest CPA in the entire campaign history.
Meta Ads Manager - Oct 27 – Nov 2, 2025. Nightgowns Sales campaign: 28 purchases, $2,889.82 revenue, ROAS 8.83.
Best month - November 2025The strongest month in the account's history.
Meta Ads Manager - Nov 1–30, 2025. Nightgowns Sales campaign: 61 purchases, $6,770 revenue, ROAS 3.65 - the best month.
October → November comparison: purchases grew from 17 to 61 (+259%), revenue from $2,100 to $6,770 (+222%), while ad spend increased only 22%. ROAS jumped from 1.38 to 3.65 (+164%).
Consistent ROAS
| Week | ROAS | Note |
|---|---|---|
| Sep 22–28 | 3.56 | First week above target |
| Oct 27 – Nov 2 BEST | 8.83 | Best week - winning formula found |
| Nov 10–16 | 3.10 | - |
| Nov 17–23 | 3.42 | - |
| Jan 12–18 | 3.00 | - |
| Feb 2–8 | 3.45 | Valentine's Day retargeting |
| Feb 16–22 | 3.07 | - |
| Mar 23–29 | 3.27 | - |
What changed for the business: the account went from spending its whole budget on impressions to running a real sales system - ROAS consistently at or above the 3.0 target, peaking at 8.83, with November the strongest month in its history.
When I started, the entire ad budget was going to awareness campaigns and boosted posts - not a single dollar was being spent on actual sales. Previous attempts at conversion campaigns had failed, and the ROAS 3.0 target seemed out of reach.
I rebuilt the account from the ground up. Through systematic testing I identified nightgowns as the winning product category and cut every segment that wasn't converting - baby-product audiences, broad lookalikes, generic catalog campaigns. Within five weeks I found the formula that worked: women 50–65+ in warm US states, combined with the Advantage+ catalog and strong creatives.
Awareness spend ≠ sales. The whole budget was buying impressions - strong reach, zero purchases. The first fix was simply running a real, conversion-optimized sales structure.
Systematic cutting found the winner. Testing across categories and audiences, then cutting everything that didn't convert, surfaced nightgowns + a 50–65+ warm-state audience as the formula.
Scale gradually - don't break the algorithm. Small daily-budget increments instead of duplicating campaigns kept the learning phase stable - the difference between a one-week spike and consistent ROAS.
One formula → predictable profit. From zero sales to ROAS consistently at or above 3.0, peaking at 8.83 - on a lean $1,500/mo nonprofit budget.
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