🤖 B2B SaaS · AI Marketing Platform
Grexa AI —
0 to Scale
in B2B SaaS
Built the entire growth engine for an early-stage AI marketing SaaS from absolute zero — GTM strategy, 50M+ influencer views, a 50% demo-to-customer conversion rate, 75% customer retention, and 50% month-on-month growth. No playbook existed. I wrote it.
Last updated: March 2026
50M+
Influencer Views
Campaign analytics · Jul 2025–Mar 2026
Definition: Total cumulative views across all influencer campaigns
Source: Creator analytics + platform data (Instagram, YouTube, LinkedIn)
Paid media equivalent: ~₹80–120L+ at standard CPM rates
Note: Achieved at near-zero media cost — creator-first strategy
50%
Demo-to-Customer CVR
CRM · Product demos · Aug 2025–Mar 2026
Numerator: Paid customers within 14 days of attending product demo
Denominator: Qualified demos conducted
Source: CRM pipeline data
Industry benchmark: ~15–25% for B2B SaaS demos
Driver: Pre-qualified leads + ICP-focused demo narrative
75%
Customer Retention Rate
Product + billing data · Rolling 90-day
Definition: % of paying customers who remain active after 90 days
Source: Product analytics + billing records
Industry benchmark: ~30–40% for early-stage B2B SaaS
Driver: WhatsApp + email lifecycle, onboarding cadence, value delivery loop
50%
Month-on-Month Growth
Revenue + customer data · Consistent avg
Definition: Monthly revenue growth rate (MoM)
Source: Internal revenue records
Period: Consistent average across Aug 2025 – Mar 2026
Note: Compounding — 50% MoM for 8 months = ~25× from baseline
Operating as
Solo IC — Full GTM Ownership
Business model
B2B SaaS · Subscription · SMB-focused
Starting point
Zero — no revenue, no audience, no playbook
Channels owned
Influencer · GBP Optimization · Performance · WhatsApp · Email · Content
Available from
Immediately · Open to remote
Context & Brief
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
"We have a product. We have no customers. Build us a growth engine — from zero."
— Founding Team, Grexa AI · July 2025
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?
Diagnostic
⬛ Starting Point
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.
Finding 01 — ICP Undefined
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.
ICP: Undefined · GBP categories targeted: 50+ (needed segmentation) · Jul 2025
Finding 02 — Zero Content or Distribution
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.
Social following: ~0 · Content library: 0 · Influencer relationships: 0
Finding 03 — No Acquisition or Nurture System
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.
Lead volume: 0 · Demo pipeline: 0 · Nurture system: None
Finding 04 — No Retention or Onboarding System
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.
Retention infrastructure: None · Onboarding: None · Lifecycle: Zero
The Starting Scoreboard — July 2025
Everything was zero. This table exists not to show weakness but to make the growth trajectory undeniable — every metric below went from zero to meaningful in under 9 months.
Revenue
₹0
Influencer Views
0
Demo Pipeline
0
Retention System
None
Growth Operating System
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.
The GTM Architecture I Built at Grexa
Before executing any channel, I mapped the complete GTM: from first awareness touch to retained paying customer. This architecture drove every subsequent decision about what to build, in what order, and why.
Discovery
Influencer content
GBP categories
SEO content
Performance ads
Activation
Demo booking
Lead magnet
Free audit offer
WA welcome
Conversion
Product demo
Objection handling
Social proof
Trial offer
Retention
Onboarding flow
Success check-ins
WhatsApp lifecycle
Email sequences
Referral
Case studies
Reviews + NPS
Referral program
Testimonials
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.
📄 Output: ICP definition doc + Vertical priority matrix + Messaging framework per segment
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.
📄 Output: Full GTM funnel map + Stage-by-stage KPI framework + Build sequence doc
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.
📄 Output: Influencer playbook + Creator brief templates + Performance tracking framework
Demo Optimization — Converting 50% of Qualified Demos
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. The 50% conversion rate (vs ~15–25% industry average) is entirely attributable to pre-qualification + personalised demo narrative, not product features alone.
📄 Output: Demo qualification sequence + Personalised demo narrative template + Objection handling doc
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. The 75% retention rate (vs the 30–40% industry average for early-stage SaaS) reflects a product that works and a post-sale experience designed to demonstrate that it works.
📄 Output: 90-day retention playbook + Onboarding sequence + Lifecycle communication cadence
Execution Timeline
0 to Scale — Month by Month
How an AI SaaS went from zero revenue to a compounding growth engine in under 9 months — and the specific sequence of decisions that made it possible.
Month 1 — July 2025
ICP Definition, GTM Architecture & First Infrastructure Builds
Pure strategy, no execution yet. Spent 3 weeks mapping the ICP across 50+ GBP categories to identify the highest-fit SMB segments. Designed the full GTM funnel architecture — all five stages simultaneously. Built the influencer playbook, creator brief templates, and the demo qualification sequence. Set up the CRM, WhatsApp Business account, and basic email infrastructure. The month produced no revenue but produced the blueprint that everything else was built on.
Revenue: ₹0 · Infrastructure: Built · GTM: Designed · ICP: Validated
Month 2 — August 2025
First Influencer Content Live + First Demos Booked
First creator content went live — 5 creators, GBP-focused content addressing SMB pain points around local search visibility and review management. Simultaneously launched the demo booking flow and onboarding WhatsApp sequence. First qualified demos were booked in week 2. The demo narrative was tested live and iterated rapidly — persona-specific hooks, value-delivery structure, and objection scripts all refined across the first 8 demos. First paying customers acquired by end of month.
First revenue generated · Demo pipeline: Live · Influencer content: Active · First customers: Acquired
Month 3–4 — September–October 2025
Influencer Scale + Performance Marketing + Retention Engine Live
Scaled the influencer program — from 5 creators to 15+, across multiple content formats (short-form video, carousel, founder story content). Simultaneously launched Google Search Ads and Meta Ads targeting the validated ICP segments — using influencer content as creative foundation for paid ads. Retention engine fully deployed: 7-day onboarding WhatsApp + email sequence, 30-day check-in flow, monthly lifecycle newsletter. First retention data came in: 72% of month-1 customers remained active after 60 days.
Influencer views: ~10M · MoM growth: 50%+ · Retention at 60 days: 72% · Creators: 15+
Month 5–6 — November–December 2025
Content Distribution Flywheel + GBP Vertical Playbooks
Built the content distribution flywheel: influencer content → repurposed for paid ads → repurposed for organic social → seeded in WhatsApp nurture sequences. Each piece of content served all four channels. Built vertical-specific growth playbooks for the top 10 GBP categories (restaurants, salons, clinics, real estate agencies, retail stores, educational institutions, gyms, coaching centres, travel agents, and home services). Each playbook had category-specific messaging, objections, and demo hooks. This 10× the relevance of outreach in each category.
Influencer views: ~28M · Flywheel: Operational · Vertical playbooks: 10 built
Month 7–9 — January–March 2026
Full System Running — 50M+ Views, 75% Retention, 50% Demo CVR
All five GTM layers — influencer, performance, content, demo, and retention — operating simultaneously and reinforcing each other. Demo-to-customer conversion rate stabilised at 50%. Customer retention hit 75% rolling 90-day average. 50M+ influencer views crossed. MoM revenue growth has compounded consistently at ~50%. The growth system now runs on a weekly cadence with minimal intervention — new creator content deploys weekly, performance campaigns optimise automatically, and the retention lifecycle runs without manual management. The system is self-sustaining.
Total influencer views: 50M+ · Demo CVR: 50% · Retention: 75% · MoM growth: 50% consistent
Results
✅ Current State — Active Engagement
The Numbers, In Full Context
Hover each metric for full methodology. This engagement is still live — every number below reflects the current compounding state of the system, not a historical peak.
50M+
Influencer Views
Source: Creator analytics + platform data (Instagram, YouTube, LinkedIn)
Period: Jul 2025 – Mar 2026 cumulative
Media cost equivalent: ₹80–120L+ at standard CPM — achieved near-zero cost
Note: Organic reach only — no paid amplification of influencer content
50%
Demo-to-Customer CVR
Source: CRM pipeline — demos completed vs. paid customers acquired (14-day window)
Industry avg: 15–25% for B2B SaaS demos
Driver: Pre-qualification sequence + personalised demo narrative
Note: Only qualified demos included — unqualified/no-show demos excluded
75%
Customer Retention
Definition: % of paying customers active after 90 days
Source: Product analytics + billing records (rolling 90-day average)
Industry avg: 30–40% for early-stage B2B SaaS (first 12 months)
Driver: 90-day retention playbook: onboarding + 30-day check-in + lifecycle
50%
MoM Revenue Growth
Definition: Month-over-month revenue growth rate
Source: Internal revenue records
Period: Consistent average Aug 2025 – Mar 2026 (8 months)
Compounding note: 50% MoM for 8 months = ~25× revenue from baseline
📊 Influencer Engine — Cumulative View Growth (Indexed, Jul 2025 = 0)
📊 Retention Rate vs Industry Benchmark
Kevin — Grexa AI
75%
SaaS Early Stage Avg
~35%
Demo CVR — Kevin
50%
Demo CVR — Industry Avg
~20%
MoM Revenue Growth
50%
MoM Revenue Index (Jul 2025 = 1×)
Internal records
GTM Performance — All Channels
Multi-source
Demo CVR (Kevin)
50%
Demo CVR (Industry)
~20%
Retention (Kevin)
75%
Retention (Industry)
~35%
MoM Growth
50%
📐 Measurement Notes
Influencer views are cumulative organic views across all creator content from Jul 2025–Mar 2026, sourced from platform analytics (Instagram, YouTube Shorts, LinkedIn). Demo-to-customer CVR is calculated as paying customers acquired within 14 days of demo ÷ qualified demos conducted; unqualified leads and no-shows are excluded from denominator. Retention rate is a rolling 90-day cohort average (% of customers who remain paying after 90 days), sourced from product analytics and billing records. MoM growth is month-over-month revenue growth; 50% is the consistent average across Aug 2025–Mar 2026, not a single-month peak. Industry benchmarks sourced from publicly available SaaS metrics databases (SaaStr, ChartMogul, OpenView) for early-stage B2B SaaS products in their first 12 months. This engagement is currently active — all metrics reflect live performance as of March 2026.
Proof & Evidence
The Receipts
Replace placeholders with real screenshots and artifacts from this engagement. The influencer view data and demo CVR are the most compelling proof artifacts — add those first.
Creator Content Sample
GBP optimization topic
View count screenshot
GBP optimization topic
View count screenshot
Cumulative View Analytics
Platform breakdown
50M+ milestone
Platform breakdown
50M+ milestone
Influencer Playbook
Creator brief template
Content hook framework
Creator brief template
Content hook framework
Creator Network
15+ active partners
Category diversity
15+ active partners
Category diversity
📎 The influencer view data is your highest-impact proof artifact on this page. A single screenshot showing cumulative views crossing 50M on any platform analytics dashboard tells the entire story. If you have creator content that mentions Grexa AI with visible view counts, those are also high-value — even a 500K-view video screenshot signals serious credibility to a hiring manager evaluating your influencer marketing capability.
Revenue Dashboard
MoM growth chart
Jul 2025–Mar 2026
MoM growth chart
Jul 2025–Mar 2026
Retention Dashboard
90-day cohort view
75% retention rate
90-day cohort view
75% retention rate
Demo Pipeline CRM
Qualified demos booked
50% conversion rate
Qualified demos booked
50% conversion rate
Active customer count
Month over month
SMB vertical breakdown
Month over month
SMB vertical breakdown
GTM Architecture
5-stage funnel map
Full system overview
5-stage funnel map
Full system overview
90-Day Retention
WhatsApp + Email flows
Onboarding sequence
WhatsApp + Email flows
Onboarding sequence
Demo Narrative
Pre-qualification flow
Personalised demo script
Pre-qualification flow
Personalised demo script
Vertical Playbooks
10 GBP categories
Category-specific GTM
10 GBP categories
Category-specific GTM
Meta Ads Performance
SMB targeting results
CPL + ROAS data
SMB targeting results
CPL + ROAS data
Google Search Ads
GBP + local marketing
Search intent campaigns
GBP + local marketing
Search intent campaigns
GBP Optimization
50+ categories managed
Visibility improvements
50+ categories managed
Visibility improvements
Weekly KPI Dashboard
Looker Studio
Full GTM visibility
Looker Studio
Full GTM visibility
📎 For a current engagement, the most credible proof is the live retention and MoM growth data. Request a screenshot of the revenue dashboard from Grexa AI's founding team (even with absolute rupee values blurred — the trend line and percentage growth are what matter). Similarly, the CRM demo pipeline view with conversion rate tracking is high-value proof that few candidates can present.
Intellectual Honesty
The One That Didn't Work
Every growth system produces experiments that fail. Here's one from Grexa AI — and the principle I extracted from it.
⚠ Failed Experiment
Broad SMB Influencer Strategy — High Views, Wrong Audience, Zero Pipeline
What I tried
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.
What happened
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.
What I changed
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.
Transferable principle: In B2B influencer marketing, audience alignment beats audience size by an enormous margin. A creator with 20,000 followers who are all restaurant owners is worth more to a local business SaaS than a creator with 500,000 followers who are aspiring entrepreneurs. ICP alignment is the only metric that matters in B2B influencer selection — reach is noise if the audience is wrong.
Strategic Learnings
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 75% retention rate (vs ~35% industry average) is a direct result of the retention system being ready before it was needed. The growth trajectory would look entirely different if we'd waited.
Transferable principle: In any 0→1 SaaS engagement, I now treat Day 1 retention system build as equal priority to Day 1 acquisition system build. Retention infrastructure must be live before the first customer is acquired — not retrofitted after the first churn.
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. The 50% demo-to-customer conversion rate (vs ~15–25% industry average) isn't because the product is twice as good as competitors — it's because every demo feels like it was designed specifically for that prospect.
Transferable principle: I now treat demo engineering as a growth lever equal to any channel. Pre-qualification + personalised narrative + value-delivery structure can double or triple demo conversion rates independent of product quality.
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.
Transferable principle: For any B2B or SMB-targeted SaaS, I now evaluate influencer selection exclusively on ICP alignment of the audience, not follower count. A creator with 15,000 deeply relevant followers outperforms a creator with 500,000 aspirational followers in every pipeline metric.
Forward-Looking
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.
Day 1–30
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
Day 31–60
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
Day 61–90
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
What the Founding Team Said
Replace placeholder testimonials with real quotes from Grexa AI's founding team. Since this is a current engagement, even a WhatsApp message screenshot or LinkedIn comment from the founders works as authentic proof.
"Kevin didn't just run campaigns — he built an entire growth system from scratch that we didn't have the language to ask for. The influencer strategy was his idea, the demo flow was his design, the retention playbook was his blueprint. Every metric that matters in our SaaS is above industry average because of the system he built."
0 → Revenue Stage · 75% Retention · 50% Demo CVR"What impressed me most was that Kevin understood SaaS growth differently from most marketers. He talked about acquisition and retention as two sides of the same equation from day one. He built both simultaneously. The 50M views number sounds impressive in isolation, but the real proof is that it translated into qualified demos and actual paying customers who stayed."
50M+ views → Qualified pipeline → 50% demo conversion