These aren't portfolio pieces. They're proof of system — what happens when you stop running campaigns and start building compounding growth architecture.
I'll show you exactly what's broken and how to fix it. One focused conversation. Zero fluff.
Series A–B · B2B SaaS · $1M–$20M ARR only
Here's how a messaging mismatch was silently killing 3× revenue growth — and how fixing the audience, not the product, created $1.1M ARR in 4 months.
When this team came to me, they had just closed their Series A. $6M ARR, strong product-market fit signals, good NPS, healthy trial volume. The typical story you'd expect from a DevOps tool that engineering teams actually used and liked.
But there was a number that kept them up at night: 1.2% trial-to-paid conversion. Every month, hundreds of engineering teams were starting trials. And 98.8% of them were leaving without paying.
The leadership team had a theory: onboarding. So they'd spent 6 months rebuilding the onboarding flow. They hired an onboarding specialist. They added tooltips, walkthroughs, email sequences. Conversion barely moved.
They were doing everything right. But nothing was working. And the investor pressure was mounting.
"Our product is solid. Users love it once they get it. We just need to do a better job of showing them how to use it."
— CEO's framing coming into the engagement
Better onboarding couldn't fix this. Because the problem wasn't in the product — it was in who they were trying to reach with their messaging, and who was actually making purchase decisions.
They assume conversion is a product problem. Or an onboarding problem. It's almost never either of those things.
I ran 40+ win/loss interviews across the previous 6 months. The pattern was unmistakable: every single closed-won deal was championed by an engineering manager, not a CTO. CTOs would eventually sign the PO, but the evaluation, the enthusiasm, and the internal selling were all happening at the engineering manager layer.
And yet the entire GTM — website, trials, sequences, demo decks — spoke exclusively to the CTO. The engineering manager landing on a trial felt like the product wasn't for them.
Worse: when engineering managers did champion it, there was no content or tooling to help them make the internal case. They were on their own. Most gave up before they could complete the sale.
"Conversion problems are rarely product problems. They're almost always clarity problems — speaking to the wrong person about the wrong outcomes at the wrong moment."
We spent 6 months rebuilding onboarding and nothing moved. Jithin diagnosed the real problem in the first two weeks — we were selling to the wrong person. The shift in conversion rate was almost immediate once we fixed the messaging.
Conversion problems are rarely traffic problems. They are clarity problems. Before you optimize your funnel, you need to know exactly who's in it — and whether you're speaking to the person who actually makes the decision, not the person who approves it on paper.
I'll diagnose exactly where your funnel is breaking — and show you what it would take to fix it. One focused conversation. No obligation.
Series A–B · B2B SaaS · $1M–$20M ARR
Here's how we built a repeatable demand engine from zero — and turned a founder-dependent pipeline into a scalable, inbound-first growth system in 6 months.
This team had built something genuinely good. HR directors loved the product. Customer retention was strong. NPS was among the best in the category. Their problem wasn't quality — it was growth architecture.
Over 90% of their ARR came from founder relationships. The CEO had a big network. When he called someone, they listened. When he couldn't get to the phone, revenue stalled.
The sales team had been sitting at 60% capacity for two quarters. Marketing had run LinkedIn campaigns, a webinar series, a few blog posts. None of it produced qualified pipeline. The team was starting to question whether inbound demand generation even worked for their category.
It did. They just hadn't found the right entry point yet.
"We've tried content marketing. We've tried paid. Nothing works for our ICP. HR buyers don't buy through content — they buy through relationships."
— Founder's perspective at the start
Before any channel discussion, I needed to understand what made their best customers buy. I analyzed the 12 closed-won deals from the previous year — looking specifically at what triggered the evaluation, not just the decision.
The pattern was clear: every single ideal customer had experienced the same forcing function — their company had recently crossed 150 employees. At that threshold, HR ops becomes impossible to manage manually. A problem that was manageable at 80 people is catastrophic at 200.
That was the trigger. Not a general HR pain. Not "inefficiency." A very specific company growth milestone that made the problem undeniable and urgent.
Everything else — channels, content, sequences — would be built backwards from that moment.
"Demand generation fails when you skip the job-to-be-done. You can't generate demand for a solution buyers don't yet know they need — you have to start by making them aware of the cost of their current problem at the exact moment it becomes acute."
Most demand generation fails because it tries to generate demand for a solution. The only thing you can reliably generate demand for is awareness of a problem. Find the moment the problem becomes undeniable — and build everything backwards from there.
I'll help you find the trigger event your buyers respond to, and design the system that turns it into predictable pipeline.
Series A–B · B2B SaaS · $1M–$20M ARR
Here's how we cut CAC by 41% in 5 months without reducing pipeline volume — by narrowing ICP instead of cutting budget.
This team had done nearly everything right to get to Series B. $12M ARR, healthy NRR, a category they were clearly leading in. The marketing team was hitting their pipeline targets every quarter. Revenue was growing.
But over 18 months, CAC had quietly doubled. LTV:CAC had fallen from a healthy 5.2× to 2.8× — below the minimum threshold for sustainable scaling. And win rates were declining quarter over quarter despite increasing spend.
Investors were paying attention. The company could raise again on growth, but if the unit economics didn't improve, the path to profitability would be brutal.
The instinct was to find new, cheaper channels. That was the wrong diagnosis.
"The market is getting more competitive. Our channels are saturated. We need to find new acquisition channels or accept that CAC is just higher now."
— CMO's framing at the start of the engagement
I pulled 18 months of closed-won data and built a behavioral and firmographic profile of the top 20% of customers by LTV. Not just who closed — who stayed, expanded, and referred others.
A distinct cluster emerged: Finance teams at Series B/C companies that had just gone through a rapid headcount event — a funding round, an acquisition, or a major market expansion that required scaling their finance operations fast.
This segment had 2.4× higher win rates, 40% shorter sales cycles, and 35% higher ACVs than the broad ICP. And they had been getting less marketing attention because they didn't look as big on paper as the enterprise accounts the team had been chasing.
The solution wasn't new channels. It was surgical precision.
"CAC problems are almost always ICP problems in disguise. When you sell to the wrong buyers, everything costs more — longer cycles, lower win rates, higher churn. Narrowing focus feels counterintuitive but it's the highest-leverage CAC reduction move available."
We thought we had a channel problem. Jithin showed us it was an ICP problem. The counterintuitive move — narrowing our target instead of expanding it — was the most important growth decision we made in the last two years.
CAC problems are almost always ICP problems in disguise. When you sell to poor-fit buyers, everything costs more. The counterintuitive move — narrowing your target — is almost always the highest-leverage CAC reduction available. More focus creates more efficiency. Always.
I'll show you exactly what's driving it — and how to fix the unit economics without cutting budget or sacrificing pipeline.
Series A–B · B2B SaaS · $1M–$20M ARR