GOOGLE SHOPPING ADS CASE STUDY
Over a 4-month period, we managed an eCommerce client’s Google Ads campaign with a strict monthly budget of $1,500. Despite industry competition and limited spend, we delivered consistent returns month over month.
Monthly Results:
Month 1: $11,821
Month 2: $24,256
Month 3: $15,980
Month 4: $22,091
Allocation
Restricted by budget, every dollar had to be carefully allocated.
Speed
The extraordinary results were achieved in just 4 months.
Revenue
We were able to achieve 64.9K+ in revenue with an ad-spend of just $4,880.
Results
This meant we were able to yield a 13.2x R.O.A.S
THE CHALLENGE
Tough Competition
Restricted Budget
The client operated in a highly competitive space, going head-to-head with large retailers and established eCommerce brands with bigger budgets.
With only $1,500 ad-spend/month to work with, there was little room for testing — the client needed performance, fast, to drive cash flow.
GOOGLE SHOPPING ADS SOLUTION
To stretch every advertising dollar, we approached the account with a performance-first mindset:
Smart Budget Allocation: We focused spend on high-intent, bottom-of-funnel shoppers using Performance Max (PMax) with Shopping feeds to maximise visibility across Google’s ecosystem.
Precision Feed Optimisation: We ensured product titles, descriptions, and merchant feed data were optimised for relevance and visibility, getting in front of the right buyers.
Asset Group Segmentation: We created multiple asset groups targeting product categories with the strongest margins and performance history.
Creative + Data Synergy: By using Google’s machine learning paired with strong creative, we generated consistent returns — producing over 13× ROAS on average across the campaign.
This campaign is a strong example of how a smart strategy and efficient execution can outperform bigger competitors — even on a tight budget.
Research
A detailed analysis of the market.
New Campaigns
Relevance and visibility were key.
Ad Copies
Focused on key cash cow products on high demand.
Dominate
Launched P.Max Shopping Ads using our own methodology.
OUTCOME
$4,880 Ad Spend - $64,900 in Revenue
13.2× overall ROAS achieved across the 4-month campaign
$4,880 in ad spend generated $64.9K in tracked revenue
1,230% return on ad spend despite a low monthly budget
Highest performing month generated over 16× ROAS
Outperformed major competitors despite budget disadvantage
Capital injection achieved through increased online sales, supporting future growth
