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Available for Q4 2026

Most marketers talk about AI. I ship the agent.

I’m Ajay Kumar. Eight years of SEO, paid, brand and growth for Web3, real estate and fashion — and the marketer who actually builds the automation most consultants only recommend. n8n workflows, lead-qualifying agents, reporting that runs itself.

8+
Years operating
60+
Brands & startups
₹40Cr+
Ad spend managed
4x
Median organic growth
The idea

Most marketing plans don’t fail. They die in the queue of manual work behind them.

The strategy is sound. Then somebody has to route the leads, chase the follow-up, pull the report and tag the campaign — by hand, every week, because nobody budgeted an engineer to automate it.

I build that layer myself. n8n workflows that move data between your ad accounts, your CRM and your CMS without anyone copying a spreadsheet, and AI agents that qualify a lead, draft a reply or flag an anomaly before a person has to look at it.

I am not a software engineer and I won’t pretend to be one. What I build is the automation layer between the plan and the result — the part most marketing consultants can only tell you that you need.

Where I’ve operated

Three markets, three completely different technical problems.

Each one taught me a different half of the job. None of them let you get away with marketing that ignores how the thing is actually built.

01

Web3 & Crypto

Token launches, exchanges, NFT marketplaces and DeFi protocols. Community-led growth, paid media that survives platform policy, and SEO in a category where almost nobody bothers to do it properly.

Token launchesExchangesNFTDeFiCommunity
02

Real Estate

Developers, brokerages and proptech. High-intent local search, lead quality measured over lead volume, and site-visit economics that still hold up at the booking stage.

DevelopersBrokeragesLocal SEOLead qualityProptech
03

Fashion & Clothing

D2C labels and boutique retail. Brand-first positioning, creative that earns the scroll, and lifecycle work that turns a single purchase into a wardrobe.

D2CRetailBrandCreativeLifecycle
Selected work

Numbers, in context.

One from each market. Full write-ups — including what didn’t work — on the case studies page.

Web3Growth & Community

From Discord noise to 40,000 qualified wallets

A layer-2 protocol had 90,000 Discord members and no idea which of them mattered. We built an agent-run, wallet-level qualification pipeline, killed the bot-farmed airdrop tiers, and rebuilt the launch funnel around proof-of-use rather than proof-of-presence.

40kQualified wallets
−62%Cost per verified user
3 wksTo full allocation
Real EstatePaid Ads

Nine projects, one account, 47% cheaper site visits

A developer was running nine disconnected ad accounts bidding against each other on the same micro-markets. We consolidated to one structure keyed to project inventory and margin, rebuilt the lead forms around intent, and pushed CRM outcomes back into the platforms.

−47%Cost per site visit
2.3xVisit-to-booking
9Projects consolidated
FashionAutomation & AI Agents

An agent that decided when to message, not a calendar

Strong acquisition, almost no second purchase, and a lifecycle calendar nobody trusted. We built an n8n workflow that reads what someone actually wears and returns, and an agent that decides the next message and channel — replacing a fixed send schedule with one that runs on real behaviour, unattended.

+112%Repeat purchase rate
2.4x12-month LTV
0 hrs/wkSpent scheduling sends
How it works

A process built to kill bad ideas early.

01

Diagnose

Two weeks inside your analytics, ad accounts, search console and CRM. You get a written diagnosis of where growth is actually stuck — not a ninety-slide deck about your industry.

02

Prioritise

Every opportunity scored by impact, effort and time-to-signal. We agree on the three that matter this quarter and deliberately ignore the rest.

03

Ship

Weekly execution against a public backlog. Fixes, campaigns, pages and content go live in small batches so we learn fast and compound.

04

Compound

Monthly review against one north-star metric. Winners get budget, losers get killed early, and the playbook gets written down for your team.

Kind words

What clients say.

He learned our protocol faster than the last two agencies learned our name, and he was the only one willing to tell us the token utility was the problem, not the marketing.
[Client name][Title], [Company]
We had nine ad accounts and no idea which one was working. Within a quarter the cost per site visit had almost halved and I could finally answer that question in a board meeting.
[Client name][Title], [Company]
The positioning work changed how the whole company talks about itself — sales, design, everyone. We stopped discounting because we finally had something else to say.
[Client name][Title], [Company]
Questions
How technical are you, exactly?

I don’t write production software, and I’ll tell you that before you have to ask. What I do build, myself, is the automation layer: n8n workflows that connect your ad accounts, CRM and CMS, and AI agents that qualify leads, draft replies or flag anomalies without a human in the loop. I’m also fluent enough in your stack to hold a real conversation with your engineers when something needs to sit deeper in the product.

Why does automation matter when hiring a marketer?

Because most marketing budget is spent on work a workflow could do for free. Routing leads, pulling reports, tagging campaigns, chasing follow-up — a marketer who cannot automate that will spend your retainer doing it by hand, or won’t notice it’s costing you at all.

Do you only work with Web3, real estate and fashion companies?

Those are where most of the last eight years went, and they are useful range: one technical market, one data-and-CRM market, one platform-and-creative market. I take work outside them when the shape of the problem is familiar. If your category is genuinely unlike anything I have touched, I will say so on the first call rather than bill you for my learning curve.

Do you work as a consultant or run campaigns hands-on?

Both, depending on what you need. Some clients want a fractional head of growth who sets strategy and manages an in-house team; others want me executing SEO and paid campaigns directly. Most engagements open with a diagnosis sprint and then move into retained execution.

How long before we see results?

Paid media usually shows signal in two to four weeks. Conversion work compounds from the first shipped test. SEO is slower and more honest: meaningful movement in three to four months, compounding returns from month six. If your timeline and your channel choice do not match, I will say so before we start.

What does an engagement cost?

Engagements are scoped by outcome, not by hours. A diagnosis sprint, a monthly retainer and a fractional growth-lead arrangement are the three common shapes. We agree the scope and the number on the first call, before there is a proposal.

Do you work with clients outside India?

Yes. Roughly half of the work is with teams in the US, UK, UAE and Singapore, all remote — Web3 especially tends to be distributed by default. I keep a real overlap window with wherever the core team sits.

Let’s talk

Your next 90 days, mapped in one call.

Free, thirty minutes, no deck. You leave with a written view of the three highest-leverage moves for your business — whether or not we end up working together.