Architecting the
Growth Corridor
for Global D2C &
Quick Commerce Brands.
Performance Marketing Leader with 4+ years of experience leveraging Agentic AI and automation to compress time-to-lead and drive scalable revenue across 7 international markets.
The Big Four
* These four domains are where results compound. — A.S.
The Agentic AI Workflow
Market Intelligence Agent
An always-on research engine using A2A agents to scrape competitor ad libraries, landing pages, and pricing in real-time. Zero manual effort. 24/7 signal capture.
Automated Campaign Reporting
Data orchestration systems using MCP and ACP to pull real-time metrics from Meta and Google into unified Looker Studio dashboards. No more manual exports.
Content Planning Agent
An orchestrated system that merges ad platform audience data with SEO keyword signals to prioritize conversion-ready creatives before budget is spent.
Case Studies
Directed cross-border growth and scaled a US-wide affiliate network end-to-end. Structured partner onboarding, commission architecture, and performance tracking that drove compounding partner revenue.
Optimized to strict CAC/LTV benchmarks across the entire funnel. Intensive test-and-learn frameworks across creative, targeting, and landing pages delivered 45% revenue growth in just 4 months.
Re-architected SEO strategy and UX infrastructure from ground up. Technical SEO fixes, content restructuring, and Core Web Vitals optimisation resulted in 35% more organic traffic and 70% faster page load.
Orchestrated digital communications for a high-stakes election campaign. Multi-channel digital strategy reaching 2.8 crore people across platforms in just 30 days with precision targeting and message architecture.
Technical Stack
Pick Your Channel
* each channel routes to a focused growth diagnosis. — A.S.
Topmate
Structured paid sessions for founders & marketers who want a deep audit. Pre-built priority slots, clear deliverables, no back-and-forth.
Open Topmate →For ongoing conversations, hiring inquiries, agency partnerships, and updates on what's working in D2C performance right now.
Open LinkedIn →30-Min Growth Call
India-based. Available globally. Diagnosis-only — no sales pitch. Bring your ROAS, monthly spend, and biggest bottleneck.
Schedule Below ↓Select a Time Slot
INDIA-BASED · AVAILABLE GLOBALLY · 30-MIN GROWTH AUDIT · NO SALES PITCH
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→ Book on Cal.comFrequently Asked Questions
→ structured for Google's "People Also Ask", AI Overviews & voice search
A Performance Marketing Leader owns the full paid growth engine — from Meta and Google Ads strategy to programmatic scaling, marketplace visibility, and conversion rate optimisation. For D2C brands specifically, this means building attribution systems, managing CAC/LTV ratios, running high-velocity creative tests, and orchestrating cross-channel funnels that compress time-to-revenue. Aman Swaraj has managed ₹2.3Cr+ in ad spend across 7 international markets with a 4.0× average ROAS.
Agentic AI refers to autonomous AI systems that take actions — not just generate content. In performance marketing, this means deploying A2A (Agent-to-Agent) systems that continuously scrape competitor ad libraries and pricing in real-time, MCP/ACP data pipelines that pull live campaign metrics into unified dashboards automatically, and content planning agents that merge audience signals with SEO keyword data to prioritise conversion-ready creatives — all without manual intervention. This compresses campaign iteration cycles from days to hours.
Quick Commerce (Q-Commerce) refers to ultra-fast delivery platforms like Blinkit, Zepto, and Swiggy Instamart that operate on 10–30 minute delivery windows via dark stores. Marketing on these platforms requires pincode-level targeting, dark store inventory alignment, platform-specific sponsored ad formats, and catalogue optimisation distinct from traditional e-commerce. A brand's visibility on Q-commerce is driven by in-app ad spend, listing quality scores, and stock availability — not just keyword bids.
Server-side tracking moves data collection from the user's browser (client-side) to a secure server, bypassing ad blockers, iOS privacy restrictions, and cookie deprecation. For D2C brands running Meta or Google Ads, this means more accurate conversion data, better ROAS reporting, and improved algorithm training — especially post iOS 14. Tools like Stape enable server-side GTM containers that relay events from your server directly to ad platforms with higher match rates and full GDPR compliance.
For a new D2C brand with a tested product and landing page, paid channels like Meta Ads typically show early signal within 7–14 days of launch. However, meaningful ROAS optimisation — reaching a 3×+ return — usually requires 45–90 days of creative testing, audience learning, and funnel refinement. SEO and organic channels compound over 3–6 months. The fastest path to profitability is a hybrid approach: paid ads for immediate revenue signal, SEO for long-term CAC reduction.
Three things: an AI-first workflow that replaces manual research with always-on agent systems, cross-market execution experience across 7 international markets, and a data-first creative framework that treats every ad as a test with a measurable hypothesis. Unlike generalist media buyers, the approach is rooted in business outcomes — CAC, LTV, contribution margin — not vanity metrics. The track record: 4.0× average ROAS, ₹2.3Cr+ managed, 45% revenue growth delivered for D2C clients.