A decade engineering
growth engines for
India & beyond.

Deepak Suhag is a growth strategist and full-stack marketer based in Delhi NCR who builds and runs the performance marketing, data, AI automation and web engineering layers that let a brand's growth compound instead of resetting every quarter. Rather than handing pieces of a funnel to different specialists, one person owns the acquisition, the CRM logic, the dashboards and the code that ties them together.

Over 10 years, spanning D2C and personal care, healthcare (Clove Dental, Crysta IVF, Max Lab), global media accounts (IPG Mediabrands), education, and SaaS. The common thread across all of them is performance media paired with the automation and reporting infrastructure that makes results repeatable rather than a one-quarter spike.

An agency typically splits a client across a media buyer, an analyst, a developer and an account manager, with margin and hand-off friction at every layer. Here, one person who understands the whole stack — ad platforms, GA4/BigQuery, CRM automation and the codebase — makes the calls directly, which removes the translation loss between what the data says and what actually gets shipped.

All three, depending on the situation. A single-quarter audit-and-fix engagement suits a business unsure whether it needs ongoing help; a monthly retainer suits a brand that wants a standing growth partner; and scoped projects — a dashboard build, an automation flow, a website rebuild — suit teams that just need one specific thing shipped well.

Core strategy, media buying and architecture decisions are handled personally — that's the point of working with one operator instead of an agency. For larger builds, a small vetted network of specialists in design and additional engineering is brought in as needed, but always coordinated directly rather than handed off to an account manager.

Google Ads, Meta Ads and SEO for acquisition; GA4, BigQuery and Looker Studio for measurement; HubSpot for CRM automation; n8n and Make for workflow automation; Python and LLM tooling for AI-driven analysis and agents; and Next.js/React for the websites and dashboards that tie it all together.

Concretely: LLM-powered agents that triage and respond to leads before a human touches them, automated anomaly detection on ad spend and conversion data instead of someone eyeballing a dashboard, and RAG-based internal tools that pull answers from a company's own documents. It's applied to close specific operational gaps, not bolted on for the sake of a pitch deck.

Highlights from the timeline: a 51% CAC reduction and 200% sales growth at Clove Dental, a 3.2× increase in lead volume at Crysta IVF, 500K+ monthly visitors scaled at Max Lab, and ₹40Cr+ in managed media across 9 markets at IPG Mediabrands. Across all engagements, average client ROAS lands between 3× and 10×.

Availability is limited on purpose — a small number of engagements run at a time so each one gets full attention rather than a shared sliver of it. Current booking status is shown on the homepage; reaching out via the contact form is the fastest way to confirm availability for a specific quarter.

Yes — engagements have run across 12 global markets, entirely remote where needed. Strategy calls, reporting and day-to-day execution all happen online, so a client's exact location doesn't change how the work gets delivered.

For paid acquisition and CRO changes, early signal usually shows up within 4-6 weeks; for automation builds and dashboard infrastructure, the payoff compounds over 2-3 months as the system replaces manual work. Anyone promising dramatic results inside the first two weeks is usually selling, not measuring.

Both, deliberately. Marketing performance is often bottlenecked by a slow site, a broken tracking setup, or a CRM that can't execute the lifecycle logic a strategy calls for — so web engineering and internal tooling are treated as part of the same job, not a separate line item handed to a different vendor.

Yes — courses covering digital marketing, data science, generative AI, cloud architecture and programmatic advertising are run for operators who want to build these skills directly rather than outsource them indefinitely. Over 1,200 students have gone through training programs to date.

A free 30-minute discovery call — no slides, no sales script. The current funnel or system gets reviewed live, the actual gaps get pointed out, and an honest answer on whether ongoing help is needed — or just one afternoon of advice — comes at the end of that call, not buried in a proposal document days later.

Always, without hesitation — client data, ad account access and internal metrics are treated as confidential by default, and an NDA is signed before any account access or sensitive discussion happens on a call.

The client list spans early-stage D2C brands managing lean budgets to enterprise accounts like IPG Mediabrands managing ₹40Cr+ across nine markets. The approach scales down to a startup's constraints and up to enterprise reporting requirements without changing the core method: systems over one-off campaigns.

The track record that matters most is on the timeline — a decade of managed budgets, measured ROAS and named client results across dental, IVF, diagnostics, media and SaaS. Alongside that, hands-on platform expertise in Google Ads, GA4 and modern AI/ML tooling is kept current through continuous, practical upskilling rather than a static certificate.

A single winning campaign is a data point; a system — clean attribution, automated lifecycle flows, a dashboard that doesn't need manual pulling — is what keeps producing data points after the initial excitement fades. That's the actual difference between one good quarter and a decade of compounding results.