From ₹15.7L to ₹1.18 Cr in Monthly Ad Sales

The problem

Before Sapyon AI, scaling ad spend manually meant losing profitability and wasting money on dead hours. Demand for personal care products swings hard month to month. Looking only at daily or monthly totals made it impossible to see which hours deserved more budget and which hours only burned money.

The brand needed sales from ads to grow across their Amazon campaigns, but spending more without that clarity usually meant sales stalled, or ROAS fell as spend rose.

What they did

Sapyon AI shows performance inside the day, hour by hour, not just end-of-month averages. The team used that to put more budget on stronger hours and pull back when results softened.

Budget rules and ranked recommendations kept spend moving with demand: protect high-ROAS stretches, cut back when results weaken, and keep ads live when shoppers actually buy.

What changed

After Sapyon AI, the brand experienced massive growth. Hourly day-parting shifted budgets to high-converting hours, growing revenue 5.4× while actually increasing ROAS.

Sales from ads grew from ₹15.7L to ₹84.7L in 12 months. Their biggest sales month delivered an incredible ₹1.18 Cr in ad sales on ~₹18L spend at 6.5× ROAS. Across the full period, the account drove around ₹9 Cr in sales from ads at a blended 6.7× ROAS.