Paid social with screenshots to prove it.

A Dominican supplements retailer that sells almost everything through WhatsApp.

One store in Santo Domingo, around 24,000 closed orders a year logged in Kommo CRM, average ticket about $77. Paid social is the main source of new chats, so every dollar has to turn into conversations that actually close.

Meta sees the chat. It doesn't see the sale.

Optimizing for conversations teaches the algorithm to find people who like to chat, not people who buy. On top of that, budget was spread across hundreds of small campaigns, and nobody knew which regions or creatives produced closed orders.

• Sales objective with click-to-WhatsApp, and every closed order in Kommo sent back to Meta as a purchase through the Conversions API.
• Price in every creative: the ads that sold showed the product, the combo and the price in the first second.
• Geo split: Greater Santo Domingo turned 15.7% of chats into sales at $12.9 per purchase, the interior 7.0% at $28.5. Budget follows the city.
• Lookalikes built from the CRM: the top 15% of customers (RD$9,200+ or 3+ orders) bring 40% of revenue.
• Meta clicks matched against CRM sales, ad by ad, to see which creatives really close.

4,091 attributed purchases and $201K in tracked revenue from $80K of spend.

2.5x blended ROAS, peaking at 3.44x in July and August at $14.63 per purchase. The best single campaign, a creatine + energy drink offer, held 4.14x ROAS at $10.90 per purchase for six months.

Make a supplement brand's only sales campaign profitable without resetting its learning.

Naughty Boy sells creatine, whey and mass gainers through WhatsApp in the Dominican Republic. One campaign, one broad ad set for ages 18–50, around 40 ads sharing $30 a day.

The purchase signal was breaking and the budget was spread thin.

The ad set optimized for purchases sent from chat through the Conversions API, and that dataset stopped receiving events at the end of August. Meanwhile dozens of ads competed for $30 a day, so none of them got enough delivery to prove anything.

• Traced the Conversions API break: unlike the healthy datasets, this one had no WhatsApp Business Account linked.
• Paused the ads that spent without selling and kept the combos that closed.
• Switched the bid from a $5 cost cap to highest volume so the ad set could exit learning.
• Launched three price-first ads. Two became the top performers: "Creatine from RD$1,400" (11.9x ROAS) and "Whey + Creatine + Shaker for RD$4,000" (9.8x).
• Checked results against Kommo, not only Meta.

$1,000 turned into $7,521 in attributed sales: 7.52x ROAS, up from 2.46x on a similar budget.

Meta's own AI flagged it a week later: ROAS up 31% and cost per purchase down 23%. On closed orders in the CRM, it was the best campaign across both of the client's ad accounts at 3.86x.

Brand-new 3D printing shop in central Santo Domingo. Zero brand recognition, niche product category most locals had never bought before.

Goal: drive inbound quote requests through WhatsApp without burning runway. Modest daily budget. Conversions, not impressions.

Category education on top of a local-only product.

3D printing wasn't a known retail category in the Dominican market. The carousel had to teach what 3D printing can decorate and sell the specific pieces — gardens, colmados, karts, off-road buggies — that fit Dominican homes and gift culture.

• Single Leads objective campaign with WhatsApp Messaging conversion event.
• Geo-locked to Santo Domingo + 15km — high relevance, low CPM.
• Carousel format so each scroll showed a different use-case personality.
• Slides ordered: educational hook → product variety → hard CTA.

Campaign paused after 15 days — because it worked too well.

145 inbound WhatsApp quote requests exceeded the shop's printing capacity within two weeks. WonderFab made the right call: stop spending, fulfill the backlog, scale ops, then re-open.

Launch paid acquisition for a brand-new DGII-certified electronic invoicing SaaS — starting from zero customers.

The product solves a regulatory pain (Ley 32-23: e-CF, 606/607/608 reporting, INDOTEL digital signature). Subscription pricing starts at $19/month. Budget capped at $1,800/mo.

Holding CPL down as volume scaled — the classic SaaS paid-acquisition trap.

At $19/mo entry pricing, anything above ~$3 per free trial kills unit economics. Highest Volume bidding ballooned CPL as budget grew. Needed a bid strategy that protected the ceiling without choking delivery.

Solution: Cost Cap bidding with a target ~15% below the CPL break-even ceiling. Cost Cap lets Meta optimize while enforcing the average cost target — exactly what subscription products need at scale.

• Dual-funnel: Sales campaign → website free trial. Leads campaign → WhatsApp for high-intent buyers who want to talk first.
• Two audience splits: SMB owners worried about DGII fines, plus accountants who resell the software to clients.
• Compliance-checklist creative tapped urgency: "If you say no to one, you're not complying with Ley 32-23."
• Accountant angle flipped the cost objection: "Your client pays, you keep the hours."

2,256 free trials at $0.24 + 322 WhatsApp leads at $1.76, from $1,119 total spend.

A meaningful percentage of free trials converted to paying subscriptions, giving Neural positive ROAS within the first billing cycle. The account went from zero customers to a self-sustaining channel in under 60 days, with the option to scale up the moment they're ready.

Take a US-based DTC brand from a stalled ad account to consistent, profitable scale in a saturated wellness category.

Product-market fit was there but acquisition wasn't consistent. The ask: prove paid social could scale spend without collapsing return — in a category dominated by Hims, Ro, and AG1.

Defending ROAS while pushing spend up — the e-commerce scaling paradox.

Every operator knows the curve: ROAS stays clean at $20/day, collapses at $200/day. Scaling spend 55% while holding 1.5× ROAS in US wellness — fighting unlimited-budget incumbents for every conversion — was the actual hard part.

• Restructured account into Core + Test: stable profitable adsets I never touched, plus a scaling surface where I tested aggressively.
• Built creatives in the "Oats Overnight" UGC-infographic format: bold benefit + claim icons + social proof + lifestyle shot.
• Conversion campaigns optimized for purchase (Thank You Page conversion event, visible in screenshot).
• Tightened audiences to high-intent stacks + 1% LAL purchasers, broadened only after test surface stabilized.
• Frequency monitored weekly — held under 1.5 to fight creative fatigue.

Account still in-flight ("En curso") — 124+ tracked purchases, ROAS holding 1.5× as spend climbed.

Top performer delivered 31 conversions at €28 CPA on €88/day budget. Reach hit 70k+ with frequency held at 1.32 — sustainable scaling without fatigue.