Meta Ads Strategy

Scale profitable Meta Ads with data-driven creative testing and precision audience targeting. Turn scrolls into conversions.

CPA ↓ 47% ROAS ×3.2 Bookings ↑ 62%

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

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.

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

  1. Diagnostics: Rapid audit across account, conversion path and signal quality. Pixel + CAPI deduped; high‑value events verified for attribution integrity.
  2. Offer–Market Fit: Reduced friction (free measure + 48‑hour quote) and increased perceived value. Objections mapped directly to creative angles.
  3. Test Matrix: Controlled experiments across hooks × visuals × CTAs. Variables isolated to attribute CPA/LTV movement with confidence.
  4. Targeting Architecture: Geo‑fenced radius with layered interests; Lookalikes seeded by high‑quality events. Balanced reach vs. relevance to stabilize delivery.
  5. Delivery Optimization: ABO for control and clean reads → promote winners to CBO when signals stabilize. Budgets scaled smoothly to avoid relearning.
  6. Measurement Guardrails: Monitor install‑level ROAS, creative fatigue and audience saturation. Rotate angles pre‑decay; prune high‑CPA sets weekly.
  7. Retargeting Flows: Short‑window retargeting to engaged visitors and qualified video viewers using testimonial snippets and deadline CTAs.
  8. Landing Experience: Reduce friction: relevant headline, near‑fold proof, single action. Keep ad promise congruent with page copy.
  9. 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.

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