Hira Fragrances doubles ROAS in 15 days with Meerkats.ai
How a D2C perfume house took marketplace ads ROAS from below 1× to 2× in 15–20 days — AI agents watching CPCs every hour and competitor prices every day, working alongside a marketplace consultant.
HIRA Fragrances is a D2C perfume house making premium eau de parfums at honest prices — ₹999 for a 50ml bottle. Men’s, women’s and gender-neutral lines, 10ml discovery sets, and gift collabs with brands like SMOOR and Voylla.
Three AI agents, one consultant, fifteen days.
A full-account audit set the plan
The engagement began with a comprehensive audit of Hira Fragrances’ marketplace advertising account. The audit identified several optimization opportunities, including inefficient keyword bids, placement bidding issues, missing negative keywords, and an overall campaign structure that distributed budget across all products rather than prioritizing the highest-performing SKUs. Based on these findings, the team established a focused optimization strategy aimed at achieving a rapid improvement in advertising efficiency.
An AI agent on CPCs, every hour
To execute the strategy, the agency partnered with Meerkats.ai to deploy AI agents alongside a marketplace consultant. One AI agent continuously monitored CPC trends every hour and flagged unusual spikes, enabling the consultant to make bid adjustments in near real time. This significantly reduced the delay between identifying performance issues and implementing optimizations.
Competitor prices and campaign performance, tracked continuously
A second AI agent monitored competitor pricing daily, tracking discounts and pricing changes across competing products. These insights helped the team understand how pricing influenced conversion rates and informed campaign decisions. Meanwhile, a third AI agent continuously tracked campaign budgets, ROAS, and overall performance, allowing the consultant to identify winning products, shift budgets dynamically, and scale campaigns based on live marketplace data.
Execution: bids, negatives and concentrated budgets
Using insights generated by the AI agents, the team reduced CPC bids where appropriate, implemented a comprehensive negative keyword strategy, identified new keyword opportunities, and concentrated advertising spend on products delivering the strongest returns. Real-time dashboards provided continuous visibility into campaign performance, enabling faster and more informed optimization decisions throughout the engagement.
Within 15–20 days, Hira Fragrances improved ROAS from below 1× to 2×. By combining AI-powered monitoring with expert optimization, the team achieved results that previously required one to two months using manual campaign management alone.
“Using AI agents alongside our marketplace consultants allowed us to identify opportunities faster, optimize campaigns in real time, and achieve a sustainable improvement in ROAS within just 15–20 days.”
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