Ankit A.

Digital Marketing Manager @Ola Electric

Bengaluru, KA, IN
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jan 2025 — Present

Digital Marketing Manager @Ola Electric

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Bengaluru, IN

Managing everything digital across Ola Electric.

EDUCATION

2006 — 2009

Gyan Niketan School Patna

Senior Secondary, Senior secondary

2009 — 2012

B.D.College

XII, Higher Secondary

2012 — 2016

Haldia Institute of Technology

B.Tech, Electronics and Instrumentation Engineering

ABOUT ANKIT A.

I build scalable growth systems for credit-led fintech products—where every dollar spent, install acquired, and user retained is measurable, attributable, and accountable.Currently leading marketing for a credit-focused fintech product at Zeta across the US, Canada, and India, I own end-to-end growth across Android, iOS, and Web. My mandate spans the full user lifecycle—from acquisition and activation to retention and re-engagement—powered by robust attribution frameworks, incrementality testing, and cross-platform conversion intelligence.I manage integrated growth programs across paid, organic, affiliates, partnerships, influencers, and offline channels, overseeing $5M+ monthly budgets. My focus is building performance engines that combine experimentation velocity, precise attribution, and clear ROI visibility.Previously at Ola, I led the Branch → Appsflyer migration, improving attribution accuracy by 28% and enabling real-time ROAS visibility across millions of installs. I drove the end-to-end Firebase analytics rollout, reducing funnel blind spots by 40% and enabling rapid experimentation. I also pioneered server-to-server conversion tracking—delivering a 22% lift in conversion rates within 90 days.Beyond performance marketing, I’ve partnered closely with product teams to launch growth-driving features including Ola Coins, Ola Maps ETA, and flexible driver subscription pauses (7D/14D/28D), increasing engagement by 25% and reducing churn by 15%.At Ola Electric, I integrated performance marketing data with offline EV adoption signals to improve lead-to-test-ride conversion by 32% while reducing marketing wastage through predictive attribution modeling.My approach is simple: transform fragmented marketing data into clear, scalable growth systems that drive measurable impact.

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