SellerGeni is an AI SaaS tool for Amazon advertisers. Athmajith is the founder. He had a working product, a real backend, and the kind of technical roadmap that wins hackathons. What he did not have, in November 2023, was a pipeline.
He had ads running. He had a landing page. He had a sales team. None of it produced predictable revenue.
248 days later, SellerGeni hit $1,000,000 ARR. Today the run-rate is Rs 8 Cr. The funnel runs without anyone touching it on the weekend. Athmajith spends his time on product, not on chasing leads.
This post is what happened in between.
The starting position. November 2023.
When Athmajith and his cofounder first reached out, the metrics looked like this:
- Lead-to-call conversion: roughly 2 percent
- Calls booked per week: 2 to 3, mostly unqualified
- Sales cycle: undefined
- ROAS: not measurable because attribution was broken
- Pipeline: a Notion doc with 14 names on it
The product was good. The funnel was theatre. We have seen this exact configuration on roughly 87 percent of the SaaS founders who book audits with us. Solid product. No system.
Most agencies in this situation propose more ads. We did not.
What we did first. (Hint: not creative.)
Phase 0 of the GetNos system is foundation. We work backwards from the revenue target, not forwards from the product. Athmajith said the target was $1M ARR. Fine. The math goes:
$1M ARR. Average ACV $9,800. So 102 paying customers. At a 14 percent application-to-paid conversion, you need 729 applications. At a 4 percent landing-to-application rate, you need 18,225 landing visits. At a 1.8 percent ad-CTR-to-landing rate, you need around 1 million ad views.
This is not a magic spreadsheet. It is the math the agency that built the original funnel never showed Athmajith.
Once you have the math, you can identify which step is the bottleneck. For SellerGeni, the bottleneck was the application step. The landing was getting visits. The application form was scaring people off.
The application form was the leak.
We removed 11 of the 14 fields. Replaced "submit" with a 2-step micro-commitment. Added a Loom video from Athmajith explaining what happens after you apply. Application rate moved from 1.2 percent to 4.7 percent.
That single change, on its own, was worth roughly Rs 14,73,200 in additional pipeline a month at the existing traffic level. We had not changed a single ad.
Then we changed the ads.
Phase 4 is traffic. We rebuilt the creative bank from scratch using the GRABBERS pattern library. 11 distinct hook patterns. Pattern interrupts in the first 1.7 seconds. Specific big benefit in the first headline, not buried in the body.
Cold creative CTR went from 0.84 percent to 9.8 percent. Yes, a tenfold lift. The audience and the offer were the same. The creative was different.
For the curious: the winning angle was "Amazon advertisers waste 47 percent of their ad budget on the wrong keywords. Here is the audit script we use." That hook generated 3.4x more applications than the next-best variant.
What 80 percent qualified leads actually look like.
Here is the part nobody talks about. After we fixed the funnel, the leads got better. Not just more, but more qualified. 80 percent of demos booked were sales-qualified by the time they hit the calendar.
That changed the unit economics. Sales reps were not chasing tire-kickers anymore. CPL dropped 60 percent because we stopped paying for leads who were never going to buy. Sales cycle compressed because qualified buyers move faster.
The ROAS settled at 12x and stayed there. Not 12x for one good week. 12x for 14 consecutive months and counting.
Sustained ROAS for 14 consecutive months. The first 4 months were rebuild. The next 10 were scale. The blended ROAS across all of it is 12.
Why this matters for you (the SaaS founder reading this).
Most SaaS funnels fail at the same 3 places. Not 30 places. 3.
- The application step. Too many fields. No reason to apply now. No micro-commitment.
- The creative. Generic positioning. No pattern interrupt. No specific big benefit in the headline.
- The follow-up. Nobody emails the people who applied but did not book. 41 percent of "no-shows" can be recovered with a 14-day, 7-email sequence.
If you can fix any one of these, you usually expose the other two. The system that worked for SellerGeni works for any post-PMF B2B SaaS at $250K to $50M ARR. We have shipped this 47 times.
The part where the testimonial goes.
Athmajith said this in his recorded testimonial, 1 minute 41 seconds:
We were very impressed with GetNos. We had a unique problem. We tested a lot of different frameworks. Now we have reached the right funnel for SellerGeni and we have been able to scale it month over month with good efficiency.
Two phrases matter there. "Tested a lot of different frameworks" means we did not get it right on the first try. "Scale month over month with good efficiency" means the system is now boring. Predictable. Boring is the goal.
What you do with this.
If you are a SaaS founder reading this, the playbook above will go further than the typical "scaling tips" post you read on Twitter. It will not solve everything. It will solve the 3 most common leaks and tell you whether the rest is worth your time.
We give the audit away free because the audit is how we figure out who actually needs the Signature engagement and who just needs to fix their application form. Both are useful answers.
Two clients per month is the cap. Not because we are precious. Because the Signature engagement is a 90-day, full-team build, and shipping it well requires more attention than any agency wants to give you.
Worth a 30-minute call to find out where your funnel actually leaks. The audit is free. The math is yours either way.
