Tech-first founders. Real product. Real demand. No predictable pipeline. We built the funnel that filled the calendar with 10+ qualified demos a day, and an engine that kept compounding long after Day 248.
Athmajith Colote is the founder and CEO of SellerGeni, an AI SaaS tool that helps Amazon advertisers scale their business on marketplaces. Bengaluru-based. Primarily focused on the Indian market when we met. Already eyeing US and European expansion.
The product was real. The tech was solid. The market need was obvious to anyone who has ever tried to run profitable Amazon ads at scale. What Athmajith and his team did not have was a marketing engine that matched the quality of the product.
They are tech founders. So they were trying to ship a tech product the way a tech founder would: build it, list it, expect it to find its buyers.
In Athmajith's own words: "We had a unique problem. Primarily we are a tech-based company, so we wanted the message of our product to reach our target audience." The translation is the one every B2B SaaS founder eventually learns the hard way. Without a funnel, even great software gets buried.
The target was clear. Zero to one million in ARR was Phase 1. One million to four million was Phase 2. The math was tight, the timeline was finite, and the engagement started in November 2023.
Before we walked in, the picture looked like this:
Lead flow was inconsistent. Some weeks the inbox was hot. Some weeks it was nothing. No predictable system, no leading indicators, no idea which week three would look like.
The sales team was chasing the wrong people. Plenty of conversations, very few qualified buyers. Reps were spending most of their week on prospects who were never going to convert because nothing in the funnel was filtering them out.
Ads were running with no system behind them. Someone was spending the budget. Nothing was tying that spend back to a specific revenue target. ROAS was a number on a screen, not a number on the bank statement.
There was no funnel architecture at all. No clear path from cold visitor to booked demo to closed deal. Each piece existed in isolation. The pieces did not talk to each other.
This is the picture every B2B SaaS founder eventually sees in the mirror: revenue stuck, scaling impossible, product better than the marketing.
Every GetNos engagement runs the 7-Phase Revenue Funnel System. We do not skip phases. We do not build creative before we know who it is talking to. We do not ship offers before they pass The Crucible.
Athmajith had a number. The first goal was zero to one million USD in ARR. We worked backwards from that target to land on the monthly recurring revenue ramp, the average contract value, the close rate, the demo show-up rate, the demo booking volume, and the daily ad spend each layer required.
One million in ARR is roughly $83K MRR by month 12. That meant a specific number of new logos per month, a specific number of demos per week, and a specific lead volume per day. Numbers in the spine before any creative shipped.
The Spy went into the Amazon seller world on day one. We mined SellerCentral forums, the Helium 10 community, Amazon advertising subreddits, LinkedIn discussion threads, and YouTube comments on "I lost money on Amazon ads" videos. The objective was to capture the exact language Amazon advertisers use when they are bleeding budget and do not know why.
The PONI built off that intel. Not a generic "Amazon seller" persona. We split the market into three sophistication tiers: the top 3% who were ready buyers actively shopping for an AI tool, the 37% who were problem-aware but not yet looking, and the 60% who were unaware they had a solvable problem. Each tier got its own message.
100+ insights mined 21-layer pyramid 3 sophistication tiersThe Trojan replaced single-funnel thinking with a multi-funnel architecture. Different sophistication tiers landed on different paths. All four funnels fed the same demo calendar. Each funnel was filtered through The Crucible: New, Unique, Exciting, Easy, Predictable, Huge.
No single point of failure. If one funnel underperformed in a given week, the calendar still filled from the others. Sales conversion on the demos themselves moved from 2% to 30% over the engagement.
The Bait shipped as a long-form value piece for Amazon advertisers. Not a generic ebook. Specific tactical content the buyer would have paid for if it was sold separately. Leads came in pre-educated.
The Genie was the post-opt-in nurture sequence. 15 emails, segmented by behaviour. The VSL inside the funnel was structured the only way VSLs work: hook, problem, agitate, solution, proof, urgency. Engineered for conversion, not for cleverness.
Long-form Bait ebook VSL · 6-act structure 15-email Genie Sales playbook + decksThe generic SaaS ads were killed on day three. The Strike replaced them. Breaking-news-style opening frames. Pattern interrupts that did not look like ads. Curiosity hooks that stopped scrollers who were not even looking for an Amazon tool.
Different angles for the three sophistication tiers. The "ready buyer" 3% saw a direct comparison angle. The "problem aware" 37% saw a "you are losing money you do not know about" angle. The "unaware" 60% saw a content-first angle that taught first and pitched second. CTR hit 9.8% on cold traffic. CPL came down 60% from baseline.
9.8% CTR cold Meta + LinkedIn News-style creative 3 angles for 3 tiersThree buckets, each with its own sequence. Email, retargeting, and a sales playbook the team actually used.
Booked but did not show. Same-day reschedule push, different sender, different angle. Recovered roughly a third of no-shows.
Showed but did not close. Case study sequence with named clients and specific outcomes. 7-day cadence followed by hard CTA.
Cold leads from cold ads. Long-arc 15-email Genie. Pre-educate, then re-introduce the demo. Most closed deals after Day 14 from the Genie sequence, not from the original ad.
Day 248 hit the $1M ARR target. The engine did not stop running. Athmajith and the team kept feeding it. Same funnels, same architecture, more spend on what worked, faster iteration on what was tired.
Over the following 18 months, SellerGeni scaled to $8 Cr ARR on the same engine. Different absolute numbers. Same buttons. Same math. That is what "predictable" means in a funnel build: it does not stop working when the founder takes their hands off the wheel.
$1M → $8 Cr in 18 months Same engine Compounding monthlyAthmajith built a great AI product. We built the funnel that put it in front of the right buyers, every day, predictably, on a system that kept working long after Day 248.
If your audience is real and your offer is solid but the funnel is the bottleneck, book a 30-minute Revenue Math Audit. We work backwards from your revenue target, not forwards from your product. We will tell you what we'd build, what we wouldn't, and whether it makes sense for either side.
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