Marketing automation · growth & retention systems
Give me a growth problem and I'll hand back a system that runs it — content and AI search, lifecycle journeys, paid acquisition, and the attribution layer underneath all three.
I work at the seam between marketer and engineer. Same person writes the strategy, builds the n8n workflow, wires the WhatsApp API, debugs the postback, and reads the cohort table on Monday. Nothing waits on a handoff.
Seven capabilities. Most people who have three of these can't build the other four themselves — that's the whole pitch.
If a task happens more than twice, it becomes a workflow. I build in self-hosted n8n and drop to code where the node doesn't exist — APIs, webhooks, queues, retries, error branches, human-in-the-loop approval steps.
Classic technical and content SEO, plus GEO and AEO — shaping content so ChatGPT, Perplexity and AI Overviews cite it instead of routing around it. Entity coverage, schema, extractable structure, first-party data models can't synthesise.
Keyword queue in a sheet, research step, drafting step, brand-voice and fact pass, publish, index, report. Human judgement stays on brief and edit — the machine does everything either side of that.
Onboarding, activation nudges, renewal, win-back. Built as event-triggered journeys with proper segmentation and frequency control, not blasts on a calendar.
Meta and Google at scale across fintech, broking, real estate and education. Account structure, audience architecture, creative testing at variant level, and the discipline to kill an angle when the data says so.
Every campaign measured, every funnel attributed, every experiment written down — and when the off-the-shelf tool doesn't fit, I've written the replacement.
Full products end to end — Next.js and PHP front ends, Firebase/Supabase and MySQL behind them, payment integration, auth, deployment. Marketing infrastructure I needed and couldn't buy.
The same loop, whatever the channel.
Which metric actually moves the business, and what's the shortest path to it. Everything else is optional.
Run the thing by hand until it works. Automating a broken process just breaks it faster.
Wire it up, add the error branch and the alert, and let it run without a human in the middle.
Attribution on every branch, results logged. The system gets better each cycle instead of resetting.
A short sample — happy to walk through any of these live.
Founder · Hindi finance content platform
Built the platform and the pipeline: PHP fund pages, an n8n research-and-draft workflow into WordPress, and the full SEO implementation. Now rebuilt around what AI models can't answer alone.
Growth, CRM & lifecycle · broking / PMS
WebEngage CRM analysis and automated MIS reporting, Meta Ads management, an n8n content pipeline into WordPress, technical SEO audits, and an ABM programme built and run for the PMS business.
Founder · AI-first marketing systems
My own practice, where the tooling gets built and tested before it goes near a client — GTM discovery workflows, audit systems, content frameworks, and outbound built on Clay and Apollo.
Founder · practitioner community
A working group of marketers across four tracks — retention & CDP, performance, content, and AEO/GEO/SEO — with material published daily. Built as a forcing function to stay current.
Brands and groups I've run growth, media, content or automation for — across fintech, lending, real estate, consumer and beyond, in India and outside it.
Tools I use weekly, not tools I've heard of.
Happy to walk through any of this live — the n8n canvas, the attribution middleware, the campaign structure. Screen share beats a slide deck.