Proof, Not Promises

Real results from real projects.

New case studies get added here as projects wrap — same card format every time.

Case Study Image
D2C — Beauty & Skincare

Finding the 20% of products driving 80% of profit

The problem: The founder couldn't tell which of 40+ SKUs were actually profitable after discounts, ads, and returns.

What we did: Rebuilt true per-SKU margin using order, ad-spend, and returns data; flagged the products quietly losing money.

  • Identified true margin by SKU, not just revenue
  • Cut 9 low-performing SKUs, raised overall margin 12%
  • Built a monthly profit dashboard the founder checks every Monday
“We finally knew which products were actually making us money.” — [Client Name]
Case Study Image
E-commerce — Home Goods

Automating a reporting process that ate a full day a week

The problem: Weekly reporting meant manually pulling numbers from three platforms — a full day of work every week.

What we did: Connected Shopify, ad platform, and shipping data into one automated pipeline feeding a live dashboard.

  • Connected 3 platforms into one automated pipeline
  • Cut reporting time from 6 hours to 20 minutes
  • Caught a shipping-cost error worth ₹40,000/month
“It gave us a full day back every week.” — [Client Name]
Case Study Image
D2C — Apparel

Finding which channel actually brings repeat customers

The problem: No visibility into which marketing channels were bringing in repeat customers vs. one-time buyers.

What we did: Built a customer segmentation model and a marketing-channel performance breakdown.

  • Identified the channel driving 60% of repeat purchases
  • Repeat purchase rate up 18% after targeting changes
  • Cut spend on the lowest-performing channel
“We stopped spending on the channel that wasn't working.” — [Client Name]
Next Case Study

New projects slot into this same template — business type, problem, approach, results, and a client quote.

Want results like these?

Start with a free 10-minute look at your data.

Get a Free 10-Minute Data Check