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Client Case Study: E-Commerce 15.44 ROAS - Aeronautical and Automotive Industry

Overview


In November 2025, one of our clients in the aeronautical and automotive precision tooling sector achieved a 15.44 return on ad spend (ROAS) using a meticulously planned and data-driven Meta advertising strategy.

Operating on a fixed monthly budget of $8,000, the objective was not short-term sales alone — but to build brand awareness early, warm cold audiences throughout the month, and strategically scale spend during Black Friday when purchase intent peaked.

The result:

  • $110,000+ in tracked revenue

  • 84 purchases

  • Highly efficient cost per purchase

  • A scalable full-funnel framework that can be repeated


Client Background (Industry Context)


The client operates in a high-precision manufacturing niche, supplying specialist tools and accessories used in:

  • Aerospace engineering

  • Automotive manufacturing

  • Industrial and technical workshops

This industry presents unique challenges:

  • Long consideration cycles

  • Highly technical buyers

  • Trust, accuracy, and product capability matter as much as price

Our advertising strategy needed to reflect that complexity.


Strategy Objective for November


Rather than launching aggressive discounting from day one, November was structured around three clear goals:

  1. Scale high-quality brand awareness

  2. Warm cold audiences through repeated, controlled touchpoints

  3. Maximize conversion efficiency during Black Friday

This required tight budget control, audience sequencing, and incremental data analysis across placements, demographics, and engagement behavior.


Budget Allocation & Spend Control


  • Monthly ad budget: ~$8,000

  • Spend distribution:

    • Weeks 1–3: controlled testing, learning, and audience building

    • Final week: heavier spend aligned with Black Friday demand

Spending was intentionally weighted in the last week, once:

  • We had statistically meaningful engagement data

  • Audiences were sufficiently warmed

  • Product-view intent signals were strong

This prevented wasted scale and protected efficiency.


15.44 RoAS for e-commerce brand on meta advertising

Full-Funnel Campaign Architecture


The campaign structure followed a classic full-funnel approach, but with tighter controls and more aggressive refinement than typical e-commerce setups.


1. Top-of-Funnel (Cold Audience Expansion)


Early in the month, focus was placed on:

  • Broad but relevant industry targeting

  • Optimized placements across Meta’s ecosystem

  • Creative that educated and introduced product capability, not discounts

Key focus:

  • Building volume without sacrificing signal quality

  • Monitoring CPM, CTR, and frequency closely


2. Mid-Funnel (Audience Warming)


As data accumulated, we began segmenting users based on:

  • Product views

  • Time on site

  • Repeat engagement

  • Video interaction depth

This allowed us to:

  • Refine messaging by awareness level

  • Layer credibility and product detail

  • Increase intent without pushing conversion prematurely


3. Bottom-of-Funnel (Black Friday Sales Push)


During the Black Friday window:

  • Spend was increased across high-intent retargeting segments

  • Discount-led creative was deployed selectively — not universally

  • Only audiences with demonstrated intent were exposed to offers

This ensured:

  • Minimal discount waste

  • Strong purchase efficiency

  • Clean ROAS attribution


Technical Optimization & Ongoing Refinement


Throughout the month, extensive time was spent analysing and refining performance data, including:

  • Placement-level performance auditing

  • Demographic segmentation analysis

  • Frequency and fatigue monitoring

  • Cost per click and cost per purchase trends

  • Creative engagement decay

Underperforming placements were trimmed.Audiences were refined weekly.Creative rotations were introduced before performance dropped — not after.

This is where many campaigns fail: scaling spend without data maturity.


Performance Results (November 2025)


  • Total ad spend: ~$7,880

  • Tracked revenue: $110,174+

  • Return on ad spend: 15.44 ROAS

  • Purchases: 84

  • Consistent conversion efficiency during peak sale period

These results were driven by structure, patience, and disciplined scaling — not guesswork.


Why This Strategy Worked


This campaign succeeded because:

  • The budget was respected, not forced

  • Awareness was built before conversion pressure

  • Audiences were warmed gradually

  • Data guided every scaling decision

  • Retargeting focused on intent, not just traffic

This approach is particularly effective for:

  • Technical products

  • Precision tools

  • High-trust industrial and B2B-adjacent e-commerce brands


Key Takeaway for Established Brands


High ROAS months are rarely accidental.

They are the result of:

  • Clear monthly objectives

  • Structured funnel planning

  • Consistent data analysis

  • Strategic timing around demand events

If you’re an established brand looking to scale Meta Ads without sacrificing efficiency, this framework is repeatable — when executed correctly.



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