Marlon Palomares - Meta Ads Strategy

This showcase demonstrates a performance-focused Meta (Facebook) Ads approach. We combine structured creative testing, optimized delivery, and audience refinement to consistently improve CPA and conversion quality. Below are snapshots of campaign results and creative iterations used to achieve scalable performance.

Executive Insights

Offer–intent alignment drives lower CPA

Native UGC creative increases engagement

Precision geo + Lookalikes stabilize delivery

ABO control → CBO scale without relearning

Guardrails: fatigue, saturation, ROAS by event

Congruent landing flow improves conversion rate

📊 Campaign Performance Snapshots

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Results snapshot: improved ROAS and reduced CPA through audience refinement and creative testing.

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Creative iteration: high-performing hooks and value-driven angles tested across lookalike and interest audiences.

✅ How These Results Were Achieved

Fast audit to align offer, creative and tracking. Pixel + Conversion API verified and events deduped.
Structured tests: 3–5 hooks × 2 visuals × 2 CTAs to isolate what moves CPA while keeping delivery stable.
Layered audiences for signal strength: stacked interests to find broad patterns; Lookalikes from high-quality events.
ABO for control; promote winners to CBO once signals stabilize. Budgets scaled smoothly to avoid relearning.
Native UGC creatives with clear value and quick proof. First 2 seconds thumb-stopping, low-friction CTA.
Landing path tightened: relevant headline, social proof near the fold, single conversion action.
Weekly optimization cadence: trim high-CPA sets, duplicate winners, refresh creatives before fatigue, update hooks from comments and search terms.
Simple retargeting: engaged visitors, video viewers, and cart abandoners with short deadlines and proof.
Net effect: more qualified impressions, cleaner delivery, stable scaling; measured and iterated so results compound week over week.

Mirror Local Business campaign results overview

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Mirror Local Business: hyper-local strategy with native creative and low-friction offers.

Mirror Local Business: How We Achieved These Results

↓ CPA 47% × ROAS 3.2 ↑ Bookings 62%

Challenge: Leads were expensive and low intent despite consistent ad spend. Conversions lagged due to friction in the offer and generic creative.

Approach: Align offer, targeting and creative to local intent. Verify Pixel + Conversion API, dedupe events, and set up structured tests (hooks × visuals × CTAs) to isolate drivers of CPA.

Audience Architecture: 3–5 mile radius per store with layered interests (home décor, DIY, renovations) and 1%–3% Lookalikes from high-quality events.
Creative System: UGC-style vertical video; hook in first 1.5s; quick proof; soft CTA. Static variations with authentic home scenes.
Offer Design: Free in-home measurement plus 48-hour install quote to remove friction and raise intent.
Budget Flow: Start in ABO for control; promote winners to CBO once stable; scale budgets smoothly to avoid relearning.
Optimization Cadence: Weekly trims on high-CPA sets; duplicate winners; refresh creatives before fatigue; update hooks from comments and search terms.
Retargeting: 7-day site visitors and 25% video viewers with testimonials and deadline CTA.
Tracking & Quality: Event quality prioritized (tracked installs, engaged viewers). Landing page tightened: relevant headline, social proof near fold, single conversion action.

Measured Outcomes (6 weeks): 47% lower CPA, 3.2× ROAS on tracked installs, 62% increase in bookings, consistent lead quality and faster close times.

Key Takeaway: When creative feels local and real, intent rises. Keep testing, measure everything, and scale winners carefully for compounding results.

🧠 Strategy Breakdown: From Hypothesis to Scale

Diagnostics: Rapid audit across account, conversion path and signal quality. Pixel + CAPI deduped; high-value events verified for attribution integrity.
Offer–Market Fit: Reduced friction (free measure + 48-hour quote) and increased perceived value. Objections mapped directly to creative angles.
Test Matrix: Controlled experiments across hooks × visuals × CTAs. Variables isolated to attribute CPA/LTV movement with confidence.
Targeting Architecture: Geo-fenced radius with layered interests; Lookalikes seeded by high-quality events. Balanced reach vs. relevance to stabilize delivery.
Delivery Optimization: ABO for control and clean reads — promote winners to CBO when signals stabilize. Budgets scaled smoothly to avoid relearning.
Measurement Guardrails: Monitor install-level ROAS, creative fatigue and audience saturation. Rotate angles pre-decay; prune high-CPA sets weekly.
Retargeting Flows: Short-window retargeting to engaged visitors and qualified video viewers using testimonial snippets and deadline CTAs.
Landing Experience: Reduce friction: relevant headline, near-fold proof, single action. Keep ad promise congruent with page copy.
Scale Policy: Expand winners incrementally, clone into adjacent geos, and monitor stability. Protect signal quality via paced budget increases.

Result: A repeatable, data-driven loop that compounds: precise targeting, native creative, and frictionless offers — measured continuously and scaled responsibly.