HansLacida
HansLacida
Paid Acquisition Systems Operator

Ecommerce Results

Ecommerce Growth from Structured Google Ads Systems

Selected ecommerce outcomes from retailers and brands where paid acquisition was run as a system: ROAS lifts, revenue expansion, and more efficient acquisition at higher spend levels.

Peak ROAS
60x–70x

Seasonal scaling windows for ecommerce retailers.

Revenue Lift
+260%

Conversion value increase for a furniture brand month‑over‑month.

ROAS Range
2.6x–21.5x

Across furniture, security equipment, and other ecommerce accounts.

Revenue Contribution
$4M+

Tracked ecommerce revenue referenced across long‑running accounts.

Ecommerce · Google Ads

Ebike & Sporting Goods Retailer

Australia & New Zealand · 90 Days (Sep–Nov 2025)

Before
  • Fragmented Google Ads structure
  • Weak geo targeting
  • Limited keyword governance
  • Wasted spend from broad traffic
After
  • Peak ROAS 60x–70x windows
  • Rebuilt Search + PMax architecture
  • High‑intent geo focus on AU East Coast
  • Daily monitoring and optimisation

Impact: higher volume of high‑intent traffic, reduced wasted spend, and a stable structure ready for seasonal scaling across AU & NZ.

View detailed 70x ROAS case study →

What changed in the system

The work was less about chasing one‑off wins and more about installing a demand capture spine: structured campaigns, clear geo strategy, and a consistent operating cadence.

This is the same thinking reflected in the homepage metrics—high ROAS peaks anchored by a controllable system rather than isolated “lucky” campaigns.

Ecommerce · Furniture

Furniture Brand

Mar–Apr 2022

Before (Mar)
  • 1.89k conversions
  • $1.5M conversion value
  • Baseline ROAS
After (Apr)
  • 2.10k conversions
  • $3.9M conversion value
  • ROAS 2.6x (+260% conv. value)

Growth: 260% increase in conversion value, 1.32M impressions, and a more efficient ecommerce account configuration.

How this supports scaling

With clearer campaign roles and better demand capture, the brand could push spend with more confidence, using ROAS and conversion value as the primary signals instead of guesswork.

Ecommerce · Security Equipment

Security Equipment Retailer

Apr 2022 – Apr 2023

Before (Apr 2022)
  • $139 conversion value
  • ROAS 0.17x
  • Underperforming structure
After (Apr 2023)
  • $14,201 conversion value
  • ROAS 9.06x (peak 21.55x)
  • 10,117% conversion lift

Impact: 7.22x aggregate ROAS and $129.5K revenue from a previously weak ecommerce segment.

Shift from underperforming to investable

By restructuring campaigns and tightening demand capture, the account moved from something finance would underfund to a channel with clear, repeatable returns.

Ecommerce · Computer Parts & Laptops

Computer Parts & Laptops Retailer

Jun 2013 – Sep 2021

Campaign Summary
  • 112M+ impressions
  • 1M+ clicks
  • Avg CPC: $22.31
Results
  • 26,700 conversions
  • $2.67M–$4M revenue
  • Phone calls as a key driver

Performance: long‑running, high‑volume ecommerce account with durable results across multiple formats and product categories.

Why this matters for founders

At scale, the question is less “did this month work?” and more “is the system durable across years?” This account shows what long‑term ecommerce operations can look like when run with standards and discipline.

See all case studies or explore the playbook

These ecommerce snapshots sit inside a broader operating system: demand capture, PMax, and measurement infrastructure designed to keep ROAS and revenue stable while you scale.