Grexa AI — ₹40L to ₹2.2Cr a Month
Joined as the founding marketer with no playbook to inherit. Built a creator engine of 100+ creators shipping 1,000+ videos a quarter (50M+ organic views), scaled paid media past ₹50L a month, took the message vernacular for South India, launched a free GTM chatbot that feeds the paid funnel, and opened the Gulf with the first paying clients there.
How it's measured
- January 2026
- ₹40L a month
- September 2026
- ₹2.2Cr a month
- Growth
- 5.5× in eight months
- Run-rate
- ₹26.4Cr a year
How it's measured
- Creators
- 100+
- Output
- 1,000+ videos a quarter
The Situation I Walked Into
An AI product with genuine market potential and zero commercial infrastructure. The entire growth function needed to be built from scratch — strategy, channels, systems, playbooks, all of it.
The Business
Grexa AI is an early-stage Navi Mumbai-based B2B SaaS startup building AI-powered marketing solutions for Indian SMBs. The product addresses a real and large problem: small and medium businesses in India struggle to manage consistent marketing across Google Business Profiles, local SEO, content, and advertising — and Grexa automates large parts of this.
When I joined in July 2025, the product existed. Revenue did not. There was no GTM strategy, no acquisition playbook, no content system, no retention engine. The team was primarily product-focused. My mandate was to build the commercial layer — from the ground up, with a constrained budget, targeting 50+ GBP categories across diverse SMB verticals.
This is the most strategically complex engagement of the four in my portfolio — because in SaaS, you're not just acquiring customers. You're acquiring them at a cost lower than their lifetime value, while simultaneously ensuring they stay long enough to generate that value. Both levers have to work at the same time.
The Brief I Was Given
The "from zero" constraint is the most clarifying brief a growth marketer can receive. There is no existing strategy to defend, no entrenched channel to over-index on, and no historical data to misinterpret. But there is also no floor to stand on — no proven messaging, no validated ICP, no acquisition channel with a track record. Every decision is a hypothesis. Every rupee spent is a test. The growth operating system you bring to the engagement is everything — because you have nothing else to lean on.
The primary question I needed to answer first: who exactly is the Grexa AI customer, and where do they congregate before they know they need this product?
“We have a product. We have no customers. Build us a growth engine — from zero.”
What Zero Looks Like — and Why That's a Gift
Starting from zero is harder than fixing a broken system, but it is cleaner. No bad habits to unlearn. No legacy campaigns to defend. Just open space to build the right way.
No validated Ideal Customer Profile existed. "SMBs" is a category of millions of businesses, not a target audience. The first task was to narrow — which verticals, which business sizes, which specific pain points, what budget they had, and what language they used to describe the problem Grexa solved.
No content system, no distribution flywheel, no social presence with meaningful reach. For a B2B SaaS targeting Indian SMBs, content-first discovery was the highest-leverage channel given the budget constraints — but nothing existed to start from. Content strategy, influencer architecture, and distribution logic all needed to be built simultaneously.
No paid campaigns, no lead capture system, no demo booking flow, no WhatsApp or email nurture. The product could be demoed — but no infrastructure existed to get anyone to a demo in the first place, or to follow up with them afterward in a structured way. Lead → demo → conversion was a completely unbuilt pipeline.
In SaaS, retention is the entire business model. A customer who churns in month 2 is a negative-margin acquisition. No customer onboarding flow, no success check-in system, no lifecycle communication existed. Getting a first customer was necessary — but keeping them was equally critical and needed to be built in parallel with acquisition.
How I Think & Execute — Applied to B2B SaaS from Zero
The same 5-step framework applied across all four engagements — here adapted for the unique dynamics of 0→1 SaaS growth, where acquisition and retention must be built simultaneously and every decision is a validated hypothesis.
ICP Definition & Market Segmentation — Before Anything Else
Week 1: no campaigns, no content, no influencer outreach. Pure ICP work. I mapped 50+ GBP categories and identified which SMB segments had the strongest pain point alignment with Grexa's product, the budget to pay for a SaaS subscription, and the digital awareness to understand an AI marketing tool. The winning segment: local service businesses with 5–50 employees, existing Google Business Profiles but poor optimization, actively running or wanting to run local paid campaigns. This became the ICP every content piece, ad, and influencer brief was written for.
Funnel Architecture — Building the Entire Pipeline Simultaneously
In 0→1 SaaS, you cannot wait to build acquisition before building retention. If your first customers churn in month 1, you have no proof point, no case study, and no retention metric to justify continued acquisition spend. I built the full funnel architecture — top-of-funnel (influencer content, performance ads), mid-funnel (demo booking, lead capture, WhatsApp welcome), conversion (demo narrative, objection scripts, social proof), and retention (onboarding, success check-ins, lifecycle communication) — all in parallel during the first 6 weeks. This was the most complex sequencing challenge of the engagement.
Influencer-First Acquisition — The Highest-Leverage 0→1 Channel
For a B2B SaaS with a constrained budget targeting Indian SMBs, influencer content was the highest-leverage acquisition channel for three reasons: (1) SMB owners follow business and marketing content creators actively, (2) product-relevant creator content generates search intent that paid ads can then capture, and (3) creator content provides social proof that a brand-new SaaS desperately needs but cannot manufacture. I built a creator playbook — brief templates, content hooks specific to the GBP optimization pain point, deliverable structures, and performance tracking. The 50M+ views didn't come from one viral video. They came from a systematic creator program producing consistently relevant content for the right audience.
Demo Optimization — From Feature Tour to Value Session
The product demo is the single highest-leverage conversion moment in B2B SaaS. I restructured the demo narrative from a feature walkthrough to a value-delivery session: start with the prospect's specific GBP situation, show the gap between their current performance and what Grexa delivers, then demonstrate the product in the context of their own business. This hyper-personalisation required pre-demo qualification — a WhatsApp or email exchange before the demo to understand the prospect's business type, GBP status, and current marketing spend. The result: every demo attendee came with context, and the demo spoke directly to their situation.
Retention Engine — Building the System That Defends Revenue
In SaaS, every churned customer is a compounding loss: you lose the revenue, you lose the case study, and you lose a potential referral source. I built a 90-day retention system: structured onboarding sequence (WhatsApp + email, first 7 days focused on getting the customer to their first value moment with the product), a 30-day check-in flow (identifying friction before it becomes a cancellation decision), and a lifecycle communication cadence that delivered value-adds — new feature alerts, GBP tips, local SEO insights — rather than pure marketing messages.
How ₹40L Became ₹2.2Cr
Five layers, built one on top of the other. Only the two verified revenue endpoints are shown; nothing in between is estimated.
ICP and funnel before spend
Joined as the founding marketer with no playbook to inherit. Defined who the customer was and built the pipeline end to end before scaling anything.
A creator engine
Built a creator programme of 100+ creators shipping 1,000+ videos a quarter, aligned to the customer rather than to reach.
50M+ organic views · 100+ creators · 1,000+ videos a quarterPaid media at scale
Scaled paid media past ₹50L a month once the funnel underneath it converted.
₹50L+ a month in paid mediaVernacular, and South India
Took the message into regional languages and opened South India as a market of its own.
A free GTM chatbot that feeds the paid funnel
Launched a free go-to-market chatbot as the front door, turning free users into the paid funnel.
The Gulf
Took the go-to-market to the Gulf and signed the first paying clients there.
First paying clients in the Gulf₹40L → ₹2.2Cr a month
Monthly revenue grew 5.5× in eight months — a ₹26.4Cr annual run-rate.
₹40L/mo (Jan 2026) → ₹2.2Cr/mo (Sep 2026)The Numbers
Verified figures only. The engagement is live; these are where things stood in September 2026.
How it's measured
- January 2026
- ₹40L a month
- September 2026
- ₹2.2Cr a month
- Growth
- 5.5× in eight months
- Run-rate
- ₹26.4Cr a year
How it's measured
- Creators
- 100+
- Output
- 1,000+ videos a quarter
Measurement notes
Revenue is monthly revenue for January 2026 (₹40L) and September 2026 (₹2.2Cr); the run-rate is September × 12. Views are cumulative organic views across creator content. Paid media is monthly managed spend.
Broad SMB Influencer Strategy — High Views, Wrong Audience, Zero Pipeline
In Month 2, alongside the GBP-focused creator program, I ran a parallel experiment with larger business lifestyle creators (100K–500K followers) who covered broad entrepreneurship content. The hypothesis was that a larger reach audience would generate more awareness and funnel more leads even at lower conversion rates. I briefed 3 such creators with Grexa AI product-focused content.
The content reached 4M+ views in the first week — strong top-line numbers. But demo bookings from this content were near zero. The audience was aspirational entrepreneurs and startup enthusiasts — not local service business owners actively managing Google Business Profiles. High reach, entirely wrong ICP. The 50M+ view campaign with targeted GBP-focused creators was 10× more effective at generating qualified pipeline despite smaller individual creators.
Immediately concentrated the entire influencer budget on hyper-ICP-aligned creators — business owners in local service categories (restaurant owners, salon owners, clinic managers) who create content for their own peer communities. These creators had 10,000–80,000 followers but their audiences were 90%+ the exact ICP. The pipeline quality improvement was immediate and significant — demo bookings per 1M views went from near-zero to measurable within 2 weeks of the shift.
What I Now Know to Be True
Three principles from building a SaaS growth engine from zero — transferable to any B2B SaaS or product-led growth role.
In SaaS, acquisition and retention must be built simultaneously — never sequentially
The most common mistake in 0→1 SaaS growth is focusing entirely on acquisition first and building retention infrastructure "later." This produces a leaky bucket: you acquire customers who churn before they generate meaningful revenue, leaving you with no case studies, no testimonials, and a negative unit economics picture that makes continued acquisition unviable. At Grexa, I built the retention system — onboarding sequence, 30-day check-in flow, lifecycle communication — in parallel with the influencer and performance marketing programmes, before the first customer was acquired. The growth trajectory would look entirely different if we'd waited.
Demo engineering is the most underrated growth lever in B2B SaaS
Most SaaS companies treat the demo as a product presentation. The highest-converting demos are value-delivery sessions — they start with the prospect's specific situation, identify the gap between their current state and what they want, and then show the product solving that specific gap in real time. The structural change I made at Grexa was pre-qualification: a structured WhatsApp or email exchange before the demo that collected the prospect's business type, GBP current status, and marketing spend. This meant every demo was personalised before it started. The presenter knew the context. The prospect felt understood.
In B2B influencer marketing, audience alignment beats audience size — always
The failed experiment with broad business lifestyle creators taught this cleanly: 4M views from the wrong audience generated zero qualified pipeline. 500K views from restaurant owners and salon managers generated measurable demo bookings. In B2B, influencer ROI is entirely a function of audience ICP alignment — not follower count, not engagement rate, not production quality. The creators who drove Grexa AI's pipeline were local service business owners with 10,000–80,000 followers whose audiences were 90%+ the exact target customer. They were peer-to-peer conversations, not celebrity endorsements. This peer-credibility is irreplaceable in B2B — especially for SMBs, who trust other business owners more than they trust brands.
What I'd Do in Your First 90 Days
If you hired me into a B2B SaaS, PLG, or growth-stage startup role today — here is exactly how I'd operate from week one.
Map the System Before Touching Anything
- ICP audit — is the current target customer validated by data, or assumed? Re-validate with churned and retained customer interviews
- Full funnel audit: where exactly are leads dropping off? At acquisition, activation, conversion, or retention?
- Retention deep-dive: what is the 30/60/90-day retention rate by cohort? Is there a pattern in who churns vs who stays?
- Demo conversion rate audit: what's the current CVR? What objections are most common? Is there a pre-qualification system?
- Competitive positioning: what do the top 3 competitors say, who do they target, where do they distribute?
- Week 1 report to leadership: current state, biggest leaks, proposed priority sequence with ICE scores
Fix Retention + Demo Before Scaling Acquisition
- 90-day retention playbook live: onboarding sequence, 30-day check-in flow, value-delivery lifecycle communication
- Demo qualification sequence built: pre-demo WhatsApp/email exchange to personalise every session
- Demo narrative restructured: from feature walkthrough to prospect-specific value-delivery session
- ICP-aligned influencer pilot: 3–5 creators whose audiences match the exact target customer, not the largest reach
- Content distribution system: one piece of content → repurposed across 4 channels (ads, organic, WhatsApp, email)
- Mid-point check: retention rate should be measurably improving before any acquisition budget increases
Scale What's Proven, Instrument Everything
- Scale influencer program: expand from 5 to 15+ ICP-aligned creators using the validated playbook
- Performance marketing live: paid acquisition targeting validated ICP segments, using creator content as ad creative
- Growth dashboard live: demo CVR, retention by cohort, MoM revenue growth, CAC by channel — shared weekly
- Vertical playbooks: build category-specific GTM for top 5 ICP verticals (different messaging, different creators, different objections)
- Month 3 review: unit economics — CAC vs LTV vs payback period. Is the growth engine profitable?
- Q2 roadmap: referral programme, case study publication, expansion revenue from retained customers
Liked What You Saw?
Available for immediate hire — full-time, fractional, or contract. If you're building a SaaS, AI product, or growth-stage startup and need someone who can build the entire GTM from scratch and make every metric above industry average, let's talk.
Replies within 24 hours.