In 12 months, attributed revenue grew ~5.4×

Challenge

Demand across personal care appliances SKUs shifts hard month to month—sale events, seasonal gifts, category competition. Daily and monthly totals blur which windows deserve more budget and which only spend. Scaling ads without that clarity usually means revenue stalls or ROAS falls as spend rises.

The brand needed attributed ad revenue to grow across Sponsored Products (and Brands/Display)—without treating every hour and every month the same.

Approach

Sapyon’s hourly analytics on Amazon Marketing Stream made performance visible inside the day—not just in end-of-month averages. The team used that signal to day-part and pace budgets toward stronger windows, then reviewed month-level revenue and ROAS to confirm scale was not buying empty traffic.

Budget rules and ranked recommendations kept spend moving with demand: protect high-ROAS stretches, pull back when efficiency softens, and keep campaigns live when shoppers actually convert.

Results

In 12 months, attributed ad revenue grew about 5.4×—comparing the same calendar month year over year (from roughly ₹15.7L to roughly ₹84.8L in that month). Ad spend rose about 4.8× in the same window, while ROAS moved from ~5.3× to ~6.0×, not down.

A peak efficiency month reached ~8.7× ROAS; a peak revenue month delivered roughly ₹1.2 Cr attributed sales on ~₹18L spend at ~6.5×. Across the full measured window, the account drove on the order of ₹9 Cr in attributed revenue at a blended ~6.7× ROAS.