I'm Kaivalya. For 15 years I've been finding the real problem in ad accounts, SEO strategies, and email funnels — the one everyone else missed — fixing it with systems, and showing clients the receipts.
If your ads stopped working, your agency stopped caring, or you're just not sure where your marketing budget is actually going — book a free audit. Worst case, you walk away with a clear diagnosis and a roadmap you can run yourself.
Lines traced from the Search Console screenshots · ad-account cards are figures, not screenshots · click any card for the original
Built from the real exports: Search Console, and the figures from an Ads account I took over in July. Captioned, no sound.
There's a D2C brand I started working with in July 2026.
Their Google Ads "didn't work." That was the brief.
Here's what was actually happening:
83.2% of their entire lifetime ad spend — ₹2,33,000 — was sitting in paused campaigns. Including the best-converting campaign the account had ever run.
The campaign that was actually working? Paused. Collecting dust. While a live campaign sent 89.6% of all paid clicks to the homepage instead of the product page.
They didn't have a performance problem.
They had a diagnosis problem.
Within 12 days of taking over: verified 3.56× ROAS against a 2.89× break-even. The sitewide PMax hit 5.71×. The Makeup for Kids campaign — the one that had been paused — ran 5.55×.
The only thing that changed was someone actually read the account.
That's what I do. I read what everyone else skips.
Each card carries something real: an account figure, a Search Console export, a live recording, or a flow I built. Nothing is stock.
Google Ads. Meta Ads. I don't set it and forget it. I forensically audit what you have first, fix measurement before touching spend, and scale only what the data proves is working — not what Meta or Google claims is working. I have a proprietary attribution tool built exactly for that.
Email. SMS. WhatsApp. Web push. On-site campaigns. Behavior-based flows for cart abandonment, checkout drop-off, product view recovery, upsell, refill reminders, inactive reactivation. If a customer buys once and never comes back, there's money sitting on the table we can recover.
Technical, content, local, link building. I rebuild the architecture first — the stuff algorithms actually care about — and then produce content that LLMs and search engines recognize as genuinely useful, not generated slop. I have the Search Console exports to prove it.
Ad copy. Landing pages. Email sequences. Sales pages. B2B and B2C. I write for conversion, not for applause. The measure is whether it sells.
I build the systems that make your team 5× faster without touching quality. Skills docs, knowledge bases, agentic automations, cron jobs, internal tools — deployed on your stack, trained on your business. Human in the loop at every step. Nothing reaches your customers without an approval gate.
Next.js, React, Webflow, WordPress, custom. Full-stack — front-end, back-end, system architecture. I build what marketing needs to work, not just what looks good in a demo.
Five case files, then ten more clients in brief. Every chart is a Search Console export, a live capture, or a figure from the account. Click any image to open it full size.
2 of 19 campaigns live. ~₹700/day spend. Zero conversions being tracked properly — the purchase conversion window was set to 7 days on a product category where people think for 3 weeks before buying. 89.6% of paid clicks landing on the homepage instead of product pages. 186 keywords competing with each other.
And buried inside the account? ₹2,33,000 in historical spend — 83.2% of everything they'd ever spent — sitting in paused campaigns. Including their highest-converting campaign of all time.
This wasn't a performance problem. It was a measurement problem wearing a performance problem's clothes. The algorithm was blind. So were the humans. You can't optimize what you can't see.
The 8.03× was already in the account when I opened it. I did not create it. My result was reading four years of history closely enough to find it, proving it with exports, protecting the two campaigns that were working instead of rebuilding everything, and writing a staged budget ladder with stop-rules so the next CA$9 doesn't become another CA$619.
Anyone who claims they produced an 8× on an account they'd just inherited is either guessing or lying.
A Google Ads account opened in October 2022. In 2023 it served zero impressions. Someone had spent CA$619.33 on a Shopping campaign that returned CA$0.00 before removal. After that, a ~CA$5,200 spending period ran at 1.69× all-in. Then someone cut the whole thing to CA$9 a day and stopped looking.
The two "dead" campaigns were converting at 8.03× and 3.93×. The hero campaign was losing 49% of its impression share to bid rank — meaning Google was willing to show the ad and was being told, in effect, not to bother. Amazon held 32.9% impression share in the same auctions. Demand that had already been paid to create was going to a competitor.
Not a performance problem. A confidence problem. Nobody had read the account closely enough to notice it was winning.
Google was willing to show the ad. It was being told, in effect, not to bother. Demand already paid for went to a competitor.
Desi Return had a real YouTube audience and a real community. On Google: effectively invisible. An NRI typing "RNOR status" or "moving back to India checklist" landed on a bank's blog or a 2017 forum thread. The homepage was being asked to convert, and it couldn't, because the people arriving didn't know what the platform did.
The market was asking a hundred scattered questions across five or six topic areas. Whoever organized those questions into one coherent, findable map would own the intent. The homepage wasn't the problem — it was the answer to a question nobody was searching.
Also built their entire platform architecture — front-end, back-end, system design — to handle real user load and be loved by both search engines and AI chatbots. Produced 300+ pieces of content (video scripts, blog articles, video edits) across a 6-month window. What would have taken a team of 5–7 people, delivered by one person.
31 May · 2,395 impressions
Flat for months…
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Most agencies would have sold them ads on day one. I didn't. Because ads pointed at nothing multiply nothing — you pay to send people to a dead end, then conclude "the market isn't there."
This wasn't a marketing problem yet. It was an existence problem. No website. No menu. No prices. No way to order. Every recommendation from every happy customer leaked at the same point: "where can I find you online?" And the answer was: nowhere.
Eight country stores. Six product verticals. One brand, one content engine, eight search audiences with different intent patterns. Multi-region SEO structure, metadata, and category pages had to line up with search intent without the storefronts drifting from each other.
Hover · plays
Product-intent SEO, metadata, schema.
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Website, SEO, lead capture, social.
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Landing pages, CRM, lead gen, social.
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Brand, website, founding narrative.
Platform, campaigns, volunteer systems.
Attribution + ROI dashboards.
These four are listed, not screenshotted: their domains no longer serve the original site. No mockups were made to fill the gap. References available on a call. Logos pending written client release.
Three ways to read it: how I got here, how most agencies use AI versus how I do, and what a project looks like from the first read to the last approval.
I built everything manually.
Copy written line by line. Automations built with code — cron jobs, server-side watchdogs, automated backups, marketing campaign triggers that ran without me in the room. Limited in scale, but real. I already understood the fundamentals of what works and what doesn't. That understanding didn't come from AI.
I scaled the same fundamentals.
AI does the legwork and execution at volume. I decide what gets built, what gets sent, and what gets killed. Every step has a human approval gate before anything reaches a client or their audience. The output volume is 5× what it was. The judgment hasn't changed — it just runs faster.
The agencies that "use AI" and produce garbage? They handed the account to AI and walked away. That's not a technology problem. That's an insight problem.
How I use AI. I bring out insights from available data faster — so the human decisions are better informed, not replaced.
For ads: AI workflows surface what's actually working so I can scale winners and kill losers before they drain budget.
For SEO: AI-assisted content that every LLM and algorithm reads as genuinely useful, because it is — a human is in the loop at every step approving every output.
For retention: segmentation and personalization that used to take days now takes hours, and a human reviews the logic before it goes live.
The AI has drafted a message to your customers. Nothing ships until a person reads it.
A typical project — before AI and after AI — looks like this:
I read what exists before I build anything. Full forensic audit. No assumptions. This step hasn't changed. AI doesn't do diagnosis. Diagnosis requires understanding what a business actually needs, which requires asking the right questions and reading the actual data.
Once the problem is defined, the solution is systematic — not heroics. An SOP, a checklist, a workflow. Something that runs without me in the room.
This is where scale changed. After AI, the execution layer is faster, broader, and more consistent.
Nothing reaches your customers without a human read. That's the layer that keeps AI assistance from becoming AI slop.
You describe the symptom, they apply the fix you named, and the invoice arrives whether or not it was the right fix.
When I take on a client, the first thing I do is read everything — the account history, the analytics, the search data, the funnel. Slowly. Before I change a thing. The Box of Life had a "dead" Google Ads account everyone had given up on. Inside it were two campaigns converting at 8×. On CA$9 a day. Nobody had read it closely enough to notice.
Here's how every engagement runs:
I find the real problem — not the one you think you have, but the one the data shows. Sometimes it's measurement. Sometimes it's a campaign paused by accident. Sometimes it's a website that's converting 1-in-8 browsers and no amount of ad spend will fix that.
Once we know what's broken, I build the fix as a system — not a one-time campaign. Automated flows, SOPs, documented change logs, watchdogs. Work that compounds over time, not spikes and flatlines.
For every client, I build AI workflows trained on their specific business, their products, their audience. Skills documents, knowledge bases, internal tools — built on your stack, running on your servers if privacy matters to you. This is probably the most underrated thing I do, and the one that creates the biggest long-term compound effect.
If I'm running ads, you get a daily automated report: spend, revenue, what's working, what's not, what I'm doing about it. You don't have to ask. It's already in your inbox.
I absorb the cost of AI tools and infrastructure. You pay for the work and the results. That's it.
References available on a call.
My clients are real businesses, not marketing companies — asking them to record testimonials is a process. The Search Console exports and ad-account screenshots are what I'm most proud of anyway. Those don't have opinions, they just show the numbers.
They'll do what you tell them to do. If you already know exactly what needs to be done — the right diagnosis, the right fix, the right sequence — that works. But if you knew all that, you wouldn't be here.
More people, more meetings, more reports, more invoices. And a junior account manager who's never built a funnel running your ad account while the senior who sold you the pitch is busy selling the next client. I've seen their work when I inherit their accounts. That's usually why I get called.
One person wearing ten hats. Good in theory. In practice: they do some things great and other things slowly, and you're paying a full salary plus benefits for a full-time employee who's available to one client — yours. Meanwhile, Desi Return got the equivalent output of a 5–7 person team at the cost of one retainer.
AI is the best legwork assistant ever built. It is not a strategist. It has no insight into your specific funnel, your specific audience, or which of your campaigns is actually working versus what Meta's dashboard says is working. Used well, it's a multiplier. Used blindly, it's an expensive way to produce things that don't convert.
I work best with business owners who want real results, don't micromanage how I get them, and care about their business enough to give me the access I need to understand it. If that sounds like you — let's talk.
You've been burned before. That's not a reason to give up on marketing.
It's a reason to be more careful about who you work with next.
Here's my offer: book a free 20-minute audit. I'll look at what you have — your ads, your SEO, your funnel, whatever the problem is — and I'll tell you exactly what I see.
No pitch. No "you need a full engagement to know more." Just: here's the problem, here's how I'd fix it, here's what you'd need to do.
You walk away with a free diagnosis and a clear roadmap you can run yourself, from someone who has been solving these problems for 15 years.
You find out what's actually costing you money and we figure out if working together makes sense.
E-commerce, SaaS, service businesses, local businesses, NRI consultancy, healthcare, education, real estate, food and wellness, immigration, luxury goods, solar. If you have a real business with real revenue, the industry probably doesn't matter.
I don't work on adult content, gambling, betting, or lottery. I also don't do branding-only projects — if the work doesn't connect to revenue, I'm not interested, and you shouldn't be either.
3-month retainer to start, renewable at 6 months. Project-based work is also available for defined scopes. SEO projects run a minimum of 6 months — real search results take time and I won't pretend otherwise.
Depends on the scope and what you need. Starting point is around $1,000–$2,000/month. Tell me what you're working with and what you need, and I'll be straight with you about whether it makes sense.
Nothing. I absorb those costs. You're not getting a bill for tokens.
You'll have access to the same data I do. If I'm running ads, you get a daily automated report with real numbers — spend, revenue, what's working, what's not. If I'm doing SEO, I'll show you Search Console every week. The screenshots in my case studies are real exports, not mockups. And on the free audit call, I'll open the data with you.
Then you know what "not working" looks like. That's actually useful — it narrows down where the real problem is. Book the audit. We'll figure out what they missed.
I'm working on getting them (my clients are real businesses, not marketing companies — asking them to record testimonials is a process). References are available on a call. The Search Console exports and ad account screenshots are what I'm most proud of anyway — those don't have opinions, they just show the numbers.
Yes. For clients who want it, I can deploy open-source LLM models on your own infrastructure — private knowledge bases, no data leaving your servers, trained on your business. You pay the server cost; I do the setup and configuration.
You've read this far. Book the audit.
That means one of two things: either you have a real problem and you're trying to figure out if I can solve it. Or you just like reading case studies. (Both are fine.)
If it's the first one — book the audit. It's free, it's 20 minutes, and I won't waste your time.
After the call, you'll know exactly what the problem is and what it would take to fix it. Everything else is up to you.
The live booking calendar sits here once the booking link is set. Until then, the form is the fastest way in — same five questions.
Got it. I've received your message and I'll personally look into your situation before responding. Expect to hear back within 48 business hours with something actually useful — not a template reply.
Staging preview: sending opens your email app with every answer filled in.