Sharat Mongam

About Sharat Mongam

I’m a growth and performance marketing professional with a strong interest in problem-solving, experimentation, and data-backed decision-making. Currently at Open Money, I focus on analysing marketing’s impact on the revenue pipeline, running ICP-driven experiments, and improving qualification and conversion across the funnel in close partnership with Sales. I’ve led structured A/B testing programs, delivered a 30% conversion uplift, and improved qualification efficiency 8.6× by combining funnel analysis, experimentation discipline, and stakeholder alignment.I’ve also worked on pricing and unit economics, leading the Payment Gateway introductory offer pricing model by quantifying end-user value, modelling CAC-to-payback, and translating insights into demand forecasts to inform budget and offer prioritisation.Previously, I’ve worked across fintech, SaaS, and agency environments, building analytics foundations, automations, and measurement systems to support growth decisions.ISB MBA(PGPpro) Admit, Class of 2026–27.Interested in discussions around growth strategy, analytics, pricing, and GTM problem-solving.

Experience

1. Manager - Performance Marketing

   Open Financial Technologies

   Oct 2024 — Present · Bengaluru, IN

   Own customer acquisition strategy across 4 business units, aligning paid and organic growth programs with business goals and revenue priorities- Delivered 4.5X ROAS and generated an 11X pipeline for enterprise payments products by optimising channel mix, targeting, and campaign strategy- Spearheaded GTM experimentation and enterprise targeting initiatives, increasing qualification by 8.6X and tripling SQL volumes- Built and executed experimentation frameworks using A/B testing and statistical analysis, driving a 30% uplift in conversion and improving funnel performance- Designed an AI Agent to monitor pricing, offer, CTA, and messaging changes across competitor pages, classify threat levels, and recommend paid search and landing page actions to protect CTR, CVR, and CAC- Led pricing and unit economics modelling, including end-user value assessment and CAC-to-payback analysis, to shape offer strategy, lead forecasts, and budget decisions- Worked closely with Sales to refine lead qualification and closed-loop feedback mechanisms, improving MQL → SQL conversion and enabling consistent pipeline gains- Recognition: Top Performer of the Quarter (Q2 & Q3, FY25–26)

Education

• Great Learning

  Post Graduate Program, Data Science

• Andhra University

  Bachelor of Engineering (B.E.)

  2011 — 2015

Skills

• Microsoft Office
• C
• C++
• Business Analysis
• Agile Methodologies
• Management
• Powerpoint
• Microsoft Excel
• Microsoft Word
• Team Management
• Leadership