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Structured test scenarios, detailed test cases and UAT documentation to validate features and support a confident release.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
👟 24+ Years Footwear Expert → Now Helping USA Shoe Brands 3X ROAS with Facebook & Instagram Ads
I just launched my new project: Facebook & Instagram Ads for Shoe Brands Only!
🚫 Why ONLY Shoe Brands?
I was Ex-Head Commercial of Top 3 Footwear Factory in Bangladesh. I know shoe buyer psychology, not just ads.
🎯 Recent Result: USA Hemp Sneaker Brand
ROAS 1.2x → 3.2x in 30 Days
CPC $0.80 → $0.35
Revenue $15k → $38k/mo
Most agencies run generic ads. I build:
✅ Shoe-buyer only audiences (Sneakerheads, not random interests)
✅ UGC Try-on + Factory Story Creatives
✅ Shopify + Subscription Funnel for Repeat Buyers
If you own a Shoe Brand (Sneakers, Boots, Sustainable Shoes like 8000Kicks), drop your store URL - I'll send you FREE 5-min audit with 3 mistakes losing you money.
Let's make your shoe brand the next 8000Kicks 🚀
#footwear #shoebrand #facebookads
footwearfootweardesignShopifyGoogle SheetsMicrosoft ExcelLead GenerationMarket ResearchProduct Research
Good Luck!
BEFORE: Client had messy Excel inventory with 500 rows, duplicates (A12 / a12), blanks, wrong prices like "$ 2.5" and "N/A", and different warehouse names (KER / ker / Kericho).
AFTER: I did:
Removed 12 duplicate SKUs
Standardized item names to Title Case
Fixed QTY and Prices to 2 decimals
Unified Warehouse to Kericho
Made sheet ready for pivot dashboard
Result: Clean, ready-to-use inventory in 2 days using Excel.
Tools: Excel, Remove Duplicates, Text to Columns, TRIM, PROPER
Marketplace Sales & Margin Analysis created as a portfolio demo project.
The analysis compares marketplace performance across Allegro, Amazon and Empik using illustrative sales data.
It includes:
revenue and net profit by marketplace,
product-level margin analysis,
marketplace fee impact,
advertising cost analysis,
return cost impact,
sales volume comparison,
profitability by product,
identification of the strongest sales channels.
The goal of the project is to show how marketplace data can be turned into clear business insights for pricing, listing optimization and profitability decisions.
This is a portfolio demonstration project based on illustrative data.
Tools: Microsoft Excel, data analysis, e-commerce profitability modeling.
