How CloudPath SaaS achieved 4.2x in 9 months.
CloudPath — a B2B cloud infrastructure SaaS — was spending ₹28,000 per MQL with a 14-month CAC payback period. VR Digital rebuilt their entire demand-generation engine using AI content, automated nurture sequences, and intent-based paid targeting — cutting CAC by 62% while quadrupling qualified pipeline.
Client
CloudPath SaaS
Industry
SaaS / Tech
Engagement
9 months · ongoing
Services
SEO + LinkedIn Ads
CloudPath SaaS
CloudPath — a B2B cloud infrastructure SaaS — was spending ₹28,000 per MQL with …
MQL Volume
4.2x
↑ AI verifiedCAC
-62%
↑ AI verifiedTrial-to-Paid
38%
↑ AI verifiedPipeline Generated
₹8.4Cr
↑ AI verifiedObjective
“Only 18 MQLs per month despite ₹45L/month in spend — a ₹25,000 cost per MQL. Website conversion rate was 0.6% — leads were not being captured from organic traffic. Nurture sequence was three generic emails — 80% of leads went cold within two weeks. LinkedIn campaigns targeting broad "IT decision maker" audiences with no intent data. No lead scoring — sales was calling every form fill regardless of fit or intent. Zero middle-funnel content — no case studies, calculators, or comparison pages. Trial-to-paid rate was only 12% — product was not activating users effectively.”
Challenges & Solutions
Here's what was broken — and how our AI-powered approach fixed it.
Only 18 MQLs per month despite ₹45L/month in spend — a ₹25,000 cost per MQL.
- Only 18 MQLs per month despite ₹45L/month in spend — a ₹25,000 cost per MQL.
- Website conversion rate was 0.6% — leads were not being captured from organic traffic.
- Nurture sequence was three generic emails — 80% of leads went cold within two weeks.
- LinkedIn campaigns targeting broad "IT decision maker" audiences with no intent data.
- No lead scoring — sales was calling every form fill regardless of fit or intent.
- Zero middle-funnel content — no case studies, calculators, or comparison pages.
- Trial-to-paid rate was only 12% — product was not activating users effectively.
Built ICP profiles using AI analysis of closed-won deals — uncovered three distinct buyer personas not previously identified.
- Built ICP profiles using AI analysis of closed-won deals — uncovered three distinct buyer personas not previously identified.
- Rebuilt LinkedIn campaigns around technographic targeting: companies using AWS + Terraform + growing headcount.
- Launched an AI-generated thought leadership content programme — 2 long-form articles/week, repurposed into LinkedIn carousels.
- Built an interactive ROI calculator (no-code + AI copy) that captured email and triggered automated sequences.
- Designed an 18-email nurture sequence personalised by industry, company size and trial behaviour.
- Implemented lead scoring in HubSpot — sales only received SQLs scoring 70+.
- Built a comparison page ("CloudPath vs [Competitor]") for each of the top five alternatives.
- CRO programme on the trial sign-up flow — reduced steps from 7 to 3, lifted trial starts 84%.
Our approach. 4 phases
Four compounding stages — AI agents active inside every one, 24/7.
Step 01
AI Audit & Research
Deep-dive into your current stack, competitors and market gaps using autonomous research agents.
Step 02
Strategy & Blueprint
AI synthesises findings into a prioritised, channel-specific growth roadmap unique to your brand.
Step 03
Build & Launch
Creative, tracking and campaigns shipped in days — not months — through AI-assisted workflows.
Step 04
Optimise & Scale
Agents monitor performance every 15 min, auto-action wins, and compound growth every cycle.
Results.
MQL volume grew 4.2x — from 18 to 76 per month, at lower total spend. CAC dropped 62% — from ₹28,000 to ₹10,700 per MQL. Pipeline generated in 9 months: ₹8.4Cr — 3.1x the prior year's total. Trial-to-paid rate improved from 12% to 38% after nurture and activation redesign. ROI calculator became the #1 site conversion asset — 340 MQLs in 9 months from one page. LinkedIn CTR improved from 0.4% to 2.1% — above the B2B SaaS benchmark of 0.8%.
MQL Volume
4.2x
↑ AI-powered growth
Trailing 9 months · verified
CAC
-62%
↑ AI-powered growth
Across the full engagement period
Trial-to-Paid
38%
↑ AI-powered growth
Across the full engagement period
Pipeline Generated
₹8.4Cr
↑ AI-powered growth
Across the full engagement period
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The starting state
Only 18 MQLs per month despite ₹45L/month in spend — a ₹25,000 cost per MQL. Website conversion rate was 0.6% — leads were not being captured from organic traffic. Nurture sequence was three generic emails — 80% of leads went cold within two weeks. LinkedIn campaigns targeting broad "IT decision maker" audiences with no intent data. No lead scoring — sales was calling every form fill regardless of fit or intent. Zero middle-funnel content — no case studies, calculators, or comparison pages. Trial-to-paid rate was only 12% — product was not activating users effectively.
AI-powered transformation
Built ICP profiles using AI analysis of closed-won deals — uncovered three distinct buyer personas not previously identified. Rebuilt LinkedIn campaigns around technographic targeting: companies using AWS + Terraform + growing headcount. Launched an AI-generated thought leadership content programme — 2 long-form articles/week, repurposed into LinkedIn carousels. Built an interactive ROI calculator (no-code + AI copy) that captured email and triggered automated sequences. Designed an 18-email nurture sequence personalised by industry, company size and trial behaviour. Implemented lead scoring in HubSpot — sales only received SQLs scoring 70+. Built a comparison page ("CloudPath vs [Competitor]") for each of the top five alternatives. CRO programme on the trial sign-up flow — reduced steps from 7 to 3, lifted trial starts 84%.
“This engagement fundamentally changed how we think about demand generation. We stopped buying leads and started building a system. The ROI calculator alone has generated more pipeline than our entire previous year of paid spend combined.”
Vikram Patel
VP Marketing, CloudPath SaaS
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Case study FAQs
How were the results measured?+
All metrics are pulled from primary platforms — GA4, GSC, Google/Meta Ads, CRM and revenue dashboards — and verified before publishing.
How long did the engagement take to show signal?+
Most channels showed measurable signal within the first 4–8 weeks. Compounding wins (SEO, content, lifecycle) accelerated after week 12.
What AI workflows were used?+
Custom research agents, content QA bots, automated reporting pipelines and predictive bid models — all integrated into the client's existing stack.
Can you replicate this for my brand?+
Yes — we re-engineer the underlying systems for your category, audience and economics. Book a free 30-min audit and we'll outline the path.
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