Improving conversion and reducing revenue leakage at Mejuri

What does it take to maintain growth in an era of rising costs and shifting consumer behavior? In this episode, Rohit Nathany, CPTO at Mejuri, shares how the global jewelry brand identifies hidden revenue leakage and simplifies complex tech stacks. Learn why culture and discipline are the true drivers behind successful ecommerce experimentation and how AI is moving from simple error detection to full workflow automation.

The current ecommerce landscape is facing a perfect storm of rising macro pressures and rapidly changing consumer expectations. Rohit Nathany joins the show to discuss how Mejuri navigated their Shopify replatforming and the critical role of proactive monitoring in catching silent failures that traditional tools often miss.

The episode gets into the move toward verticalized AI solutions and the necessity of unifying marketing, product, and engineering under a single vision. Rohit and Kailin Noivo break down why being data-rich but insight poor is the biggest challenge for modern brands and provide a roadmap for turning complex data into decisive action.

Rohit Nathany is the CPTO at Mejuri, a leading global direct to consumer jewelry brand with a presence in 59 worldwide stores. He supports multiple functions including marketing, product management, and engineering, focusing on creating seamless customer experiences. Rohit has a background in scaling digital brands and is a proponent of using technology to connect the dots between marketing spend and conversion. His leadership emphasizes a culture of continuous improvement and disciplined experimentation to drive measurable business results.

What you will learn:

The strategy for identifying silent failures that lead to hidden revenue leakage.
How Mejuri structures a KPI tree to guide outcome based tool consolidation.
The process for implementing a disciplined experimentation culture of one AB test per sprint.
Why horizontal monitoring tools often fail to provide the retail specific context needed for growth.
How AI agents are beginning to automate micro workflows like post release performance checks.
The difference between one way door and two way door decisions in ecommerce leadership.

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