PK
Pravin KamblePortfolio Case Studies
Portfolio · Demand Generation · AI · Analytics · Revenue Marketing

Case studies that show how I solve B2B marketing growth problems.

Each case study explains the business context, ICP, target audience, messaging, channels, my role, metrics, output, and impact.

This page is designed for recruiters, founders, marketing leaders, and hiring managers who want to see more than a resume. It shows how I think, how I execute, and how I connect marketing work to pipeline outcomes.

SaaS Product Case · Cybersecurity · Enterprise GTM

ARCON: SaaS Cybersecurity Demand Generation Engine

ARCON was a SaaS cybersecurity and enterprise IT product environment where buyer trust mattered as much as campaign reach. The challenge was to market complex products such as Privileged Access Management, endpoint security, and cloud governance to enterprise security buyers with long evaluation cycles.

IndustrySaaS Cybersecurity, Identity Security, Enterprise IT, Banking, Fintech, Manufacturing, Healthcare, Lifescience
ICPMid-market and enterprise accounts with security, compliance, privileged access, and cloud governance needs.
Target AudienceCISOs, CIOs, CTOs, IT Heads, Security Architects, PAM Admins, Compliance Leaders, Risk Teams, and channel partners.
Messaging AngleReduce privileged access risk, improve identity governance, simplify compliance, and build trust in critical enterprise environments.
ChannelsLinkedIn, Google Search, webinars, analyst campaigns, email nurture, landing pages, partner enablement, events, and website journeys.
MetricsQualified pipeline growth, account engagement, campaign response, webinar leads, partner enablement adoption, and sales conversation quality.

My Role

  • Built and scaled B2B demand generation for SaaS cybersecurity products.
  • Converted product value into CXO-level campaign narratives.
  • Planned campaigns for direct sales, channel partners, and enterprise buyers.
  • Worked across digital campaigns, content, webinars, analyst assets, and partner enablement.

Execution Model

  • Created account-led campaigns for long enterprise buying cycles.
  • Used analyst-led content from Gartner and Forrester to strengthen buyer trust.
  • Built content journeys around PAM, endpoint security, and cloud governance.
  • Launched enablement assets for 200+ partners and 300+ customers.
~70% qualified pipeline growth 200+ partners enabled 300+ customers enabled Gartner & Forrester campaigns
Revenue Marketing · Function Build · Global Demand Generation

Infojini: Built Marketing Function From Scratch

Infojini needed a structured marketing function that could support multiple service lines, improve funnel visibility, generate qualified demand, and align closely with sales. I was brought in when the function had no mature team, no defined process, and no structured marketing tech stack.

Business ContextBuild marketing from a cost centre into a measurable pipeline engine across IT services, cloud consulting, and digital transformation.
ICPEnterprise and mid-market buyers across North America, APAC, Middle East, India, and EMEA.
Target AudienceCIOs, CTOs, IT Directors, transformation leaders, procurement stakeholders, business heads, and technology decision makers.
Messaging AngleReduce delivery friction, improve technology outcomes, scale digital transformation, and connect IT services to business performance.
ChannelsGoogle Ads, LinkedIn campaigns, SEO, landing pages, content, social, nurture emails, CRM workflows, and sales-led follow-up.
MetricsMQLs, SQLs, MQL rejection rate, sales response time, pipeline influence, conversion rate, channel ROI, and campaign performance.

My Role

  • Architected the marketing function from scratch.
  • Hired and structured a 7-person team across performance, SEO, content, social, and automation.
  • Selected and implemented the martech stack.
  • Built GTM strategy across 6 service lines.
  • Defined quarterly OKRs and performance accountability tied to revenue targets.

Key Actions

  • Built a multi-channel demand generation strategy after identifying lack of structured marketing contribution to pipeline.
  • Redesigned MQL definition, lead routing, and follow-up SLAs across marketing, SDR, and sales.
  • Rebuilt lead scoring after finding 60%+ MQL rejection caused by misaligned criteria.
  • Automated lead routing, nurture sequences, and reporting on Salesforce and Zoho.
  • Built attribution dashboards across Salesforce, Zoho, GA4, and campaign platforms.
  • Embedded AI and GenAI into campaign reporting, audience research, sales enablement, and content workflows.
$5M+ pipeline in 2025 400 MQLs/year 120–130 SQLs/year 25–30% MQL-to-SQL lift Response time cut from 3 days to 4 hours
CRM · Automation · AI Workflows · Funnel Analytics

Marketing Automation, AI Workflows & Funnel Analytics

This case study shows the operating system behind the campaigns: CRM data, attribution, lifecycle journeys, lead scoring, dashboarding, AI workflows, and sales handoff improvement.

ProblemLead quality, slow follow-up, fragmented reporting, manual operations, and unclear funnel accountability.
Systems UsedSalesforce, Zoho CRM, Zoho Campaigns, GA4, GTM, Google Ads, LinkedIn Campaign Manager, Looker Studio, and CRM dashboards.
AI ToolsChatGPT, Claude, Canva AI, Gamma, NotebookLM, Julius AI for research, reporting, content, analysis, and presentations.
AudienceInternal marketing team, SDR team, sales leaders, business leadership, and campaign stakeholders.
OutputLead scoring, nurture workflows, routing rules, campaign reports, funnel dashboards, and sales enablement assets.
Business ValueFaster response, better MQL acceptance, stronger sales context, and clearer marketing contribution to pipeline.

AI Workflow Examples

  • AI-assisted ICP and persona research before campaign planning.
  • GenAI-powered first drafts for landing pages, email nurture, and LinkedIn copy.
  • AI summarization of campaign reports for leadership reviews.
  • AI sales enablement drafts for objection handling, follow-ups, and account context.
  • NotebookLM-style research workflows for faster content briefs and source-backed summaries.

Analytics & Attribution Examples

  • Built dashboards for MQL-to-SQL conversion, channel performance, campaign ROI, and pipeline velocity.
  • Used GA4 and GTM to improve campaign tracking and event visibility.
  • Connected CRM lead status with marketing source and campaign performance.
  • Used reporting insights to refine budget, messaging, channel mix, and sales follow-up.
~80% less manual operations Faster sales follow-up Better funnel visibility Scaled output with AI

Skills Proven Through These Case Studies

These are not just resume keywords. Each skill maps to work shown across demand generation, analytics, automation, AI workflows, sales alignment, and GTM execution.

Growth, Demand & GTM

Growth Strategy, Demand Generation, Go-to-Market Strategy, ABM Analytics, Lifecycle Nurture, Customer Segmentation, Pipeline Reporting, Sales & Marketing Alignment.

Analytics & Attribution

Marketing Analytics, Performance Analysis, Marketing Attribution, Funnel Analytics, Campaign ROI Analysis, GA4, Google Tag Manager, Dashboarding & Reporting.

CRM & Lifecycle

Salesforce, Zoho, Lead Scoring, MQL/SQL Lifecycle, CRM Data Analytics, Lead Routing, SLA Management, Sales Handoff Optimization.

AI & Technical Foundation

AI-Driven Marketing Workflows, GenAI for Marketing, Audience Research, AI Campaign Reporting, AI Sales Enablement, MySQL, SQL Fundamentals, PHP, WordPress.