Open to opportunities

Hritik Kumar

@hritikkumar3

Performance marketing leader who builds attribution, data pipelines, and high-ROAS growth across Google, Microsoft, and Meta.

India

Message

What I'm looking for

I’m looking to lead performance marketing where attribution engineering matters—building measurement and data pipelines, advising founders on spend strategy, and scaling full-funnel Google/Meta/Microsoft campaigns with data-driven experimentation.

I’m a performance marketing leader with 5+ years managing $8.2M+ in annual paid media across Google, Microsoft, and Meta, sustaining 400% ROAS. I’m also one of the few practitioners who can architect attribution, build the data pipeline, and run the campaigns it informs—reducing cross-platform reporting discrepancy from ~28% to under 5%. With an MSc in Consumer Analytics & Marketing Strategy from the University of Leeds, I bring analytics depth to spend strategy and measurement infrastructure.

In my recent roles, I’ve owned full-funnel strategy and measurement end-to-end, including building SQL ETL pipelines that reconcile Google Ads, Microsoft Ads, and Shopify order data into a unified marketing model. I’ve advised founders and senior stakeholders on channel mix and campaign structure, such as splitting low-ticket vs. high-ticket campaigns to eliminate budget cannibalization and unlock 50% higher ROAS quickly. Earlier, I led multi-channel campaign execution and growth experiments across Instagram/Amazon and built digital marketing capabilities from scratch, combining SEO, paid media, CRO, and A/B testing.

Experience

Work history, roles, and key accomplishments

Current

Senior Performance Marketing Lead

Current

Grayline Medical & Serfinity

Jan 2026 - Present (7 months)

Sole performance marketing function for a US-based B2B medical supplies company and its sister brand, owning end-to-end full-funnel strategy and measurement infrastructure. Managed a $8.2M+ annual paid media portfolio across 40+ Google and Microsoft Ads campaigns and built SQL ETL pipelines to unify marketing and Shopify order data, reducing cross-platform reporting discrepancies from ~28% to unde

Google Ads Microsoft Ads Paid Media ROAS Bid Strategy Audience Segmentation SQL ETL Attribution Reporting Reconciliation Reporting Discrepancy Reduction Campaign Structuring (Low Ticket High Ticket)

Marketing Project Manager

Fuaark

Jan 2025 - Jan 2026 (1 year)

Led a cross-functional team of 8 across 11+ simultaneous Instagram and Amazon Ads campaigns, driving 300% website traffic growth and 125% sales increase through creative testing. Advised paid channel prioritisation using audience-level ROAS data and managed marketing operations across teams using Meta Ads Manager, Google Analytics, and Trello.

Instagram Ads Creative Testing ROAS Meta Ads Manager Google Analytics Trello

Business Developer & Account Manager

CauseInc

Oct 2022 - May 2023 (7 months)

Drove 20% revenue growth in Q1 by building B2B partnerships using Salesforce and LinkedIn Sales Navigator, and improved client retention by 15% with tailored account strategies. Implemented HubSpot and Marketo-led account management workflows to identify upsell opportunities that expanded existing accounts by 50%.

Business Development B2B Partnerships Salesforce LinkedIn Sales Navigator Account Management HubSpot Marketo Upsell Strategy

Digital Marketing Manager

Indiano Pelletteria

Jul 2021 - Aug 2022 (1 year 1 month)

Built the brand’s full-funnel digital marketing capability from scratch, delivering 180% increase in website traffic and 250% growth in online sales. Managed SEO, Google Ads, Meta Ads, CRO, and A/B testing, and established social community engagement operations using Hootsuite and Buffer.

SEO Google Ads Meta Ads CRO A B Testing Full Funnel Marketing Social Media Management Hootsuite Buffer

Education

Degrees, certifications, and relevant coursework

University of Leeds

Master of Science, Consumer Analytics & Marketing Strategy

2023 - 2024

MSc in Consumer Analytics & Marketing Strategy focusing on predictive modelling, customer segmentation via clustering, and applied data science for commercial marketing decisions.