In the rapidly changing, dynamic digital environment, this self-taught digital strategist facilitates businesses to filter trends from the noise and implement appropriate digital strategies that deliver the desired results.

Praveen helps entrepreneurs, CEOs & CMOs solve their PAIN in digital marketing by customizing & crafting strategic digital footprints that enable their organizations, irrespective of the size, to thrive digitally.

He has delivered projects that have increased the number of leads by 5X at nearly 50% of the regular spend. His strategies have turned around brand positioning, resulting in growth and sales increases of up to 300%.

In Feb 2020, WILD CREEK WEB STUDIO was recognized among the TOP 25 DIGITAL MARKETING AGENCIES in India.

In May 2021, he was named the "BEST MENTOR and EXPERT" in Digital Marketing by UpGrad.com (India's largest online professional education company).

In 2022, Wild Creek was awarded "SEO Agency of the Year".

In 2023, it was featured in the "TOP 10 DIGITAL MARKETING COMPANIES in India" by CEO Magazine.

In 2024, Praveen was named one of the 15 Business Leaders to Watch by the Economic Times.

In May 2024, he trekked to Everest Base Camp.

Praveen is an award-winning Digital Strategist with 18+ years of experience in building, implementing, and turning around digital marketing projects for companies across sectors.

In 2024, he published his first book, "50 Time Saving Hacks for Entrepreneurs," a collection of actionable strategies drawn from his experience to help entrepreneurs reclaim their time, work smarter, and achieve balance.

His second book, "The Power of Prioritization: Your Guide to a 20-Hour Work Week," is a practical playbook for professionals to design their week around what truly matters - without burning out.

In 2025, he released "Digital Marketing Mastery - 101 Smart Hacks for Exponential Growth," a tactical guide packed with timeless, tool-agnostic strategies to drive performance-led growth in a fast-changing landscape.

In July 2025, he curated Human Algorithm, a first-of-its-kind event that brought together marketers and founders to explore how businesses can scale in an AI-powered world without losing human clarity. The event focused on strategic thinking, creative insight, and meaningful conversations around growth.

He has also served as a Digital Marketing Mentor at UpGrad.com and Visiting Faculty at a leading B-School in Chennai.

Praveen Kumar

I help founders and early-stage teams transform scattered marketing into growth systems that scale.

My expertise spans GTM strategy, ABM, LinkedIn paid campaigns, SEO/SEM, and pipeline acceleration—all tied directly to business outcomes.

With experience at high-impact orgs like ThoughtWorks, Eleviant and FE Fundinfo, I focus on what drives growth without adding bloat.

If you're looking to optimize demand generation or improve marketing ROI, I’m always open to trading notes or brainstorming ideas.

Write to me: vmadhan at leadstack dot digital


Areas Specialised in:
-  Go to Market Strategy
- Zero to One Marketing
- BOT Model Team Setup
- Revenue / Pipeline Acceleration
- Growth Marketing
- Product Launch & Positioning
- Event Planning & Organising
- Data Driven Marketing
- Account Based Marketing
- Inbound, Outbound Strategy
- Campaign Planning & Execution

Tactical Areas:
- Marketing Analytics (GA4 Migration, Tag Management)
- Performance Marketing (Google Ads, Geo Targeting)
- Marketing Calendar Creation (Project Management )
- Content Framework (Strategy, Execution Plan)
- Ideal Customer Profile Development 
- Persona Mapping
- Search Marketing (Text, Display, Video)
- Social Media Advertising (LinkedIN, Facebook, Twitter, Quora)
- SEO & UX

Venkatesa (Madhan)

Marketing feels complicated.
It’s not.






It’s just full of acronyms nobody explains.
So I built a Minimal Marketing Acronyms Cheat Sheet (printable, desk-friendly) covering:

🧠 Strategy
 AIDA • USP • GTM • OKR • SWOT

💰 Acquisition
 CAC • CPA • CPL • CPC • CPM

📊 Performance
 CTR • CVR • ROAS • ROI • AOV

📈 Retention
 LTV • NPS • Churn • CSAT

🎯 Sales Alignment
 MQL • SQL • PQL

🌐 Martech
 SEO • SEM • CRM • CMS • CRO • CDP

🤖 AI & Attribution
 MMM • MTA • LLMO • GEO • AEO • iROAS

📅 Reporting
 YoY • MoM • YTD

Here’s the reality:
- Most teams track impressions.
- Serious teams track CAC.
 - Elite teams track Incrementality.

Vanity tells you you’re busy.
Attribution tells you you’re growing.


If you’re a:
• Founder → Watch LTV, CAC, ROI
 • CMO → Care about ROAS, MMM, Incrementality
 • Growth Marketer → Optimize CTR → CVR → AOV
 • RevOps → Fix MQL ↔ SQL alignment

Marketing isn’t confusing.
Misaligned metrics are.

Take a few minutes to go through the PDF , it cuts through the noise, sharpens metric clarity, and helps you focus on what actually drives momentum, not just activity.

#MarketingAcronyms #MarketingMetrics #HappyMetrics

Venkatesa Madhan (Madhan)

AI Driven Revenue Marketing | Head of Marketing | MarTech | ABM, GTM, Revenue Intelligence & Ops, Marketing Analytics | Ex-ThoughtWorks

Cheatsheet

The real problem in marketing right now isn’t effort.
 It’s capability.

Teams are busy.
 - Campaigns are running.
 - Content is publishing.
 - Ads are optimized.

But revenue?  Still unpredictable.

I’ve seen teams celebrate 300 MQLs while revenue stayed flat.

In one B2B engagement, 42% of the marketing budget was driving leads that never converted beyond Stage 2 in the pipeline.

The issue wasn’t traffic.
It wasn’t volume.
It was qualification logic, revenue modeling, and sales alignment.
That’s a capability gap.

Most marketing teams were built for:
• Leads
• Traffic
• Engagement
• Campaign performance

But 2026 demands something very different:
• Predictable pipeline
• AI-assisted forecasting
• Revenue visibility
• Sales alignment
• Full-funnel intelligence

In long B2B cycles (6–9 months), marketing must think in pipeline velocity, win-rate probability, and segment-level CAC, not just CPL.

If marketing cannot clearly answer:
- What’s our CAC by segment?
- What’s our LTV forecast?
- What’s our stage-to-stage conversion drop-off?
- Which accounts are most likely to convert?
- Where will next quarter’s pipeline come from?

You don’t have a performance problem.
You have a revenue architecture gap.

Here’s a simple diagnostic:
Ask your team: Show me next quarter’s pipeline math.
Not targets.
Not campaign calendars.
Not lead projections.
Pipeline math.

In my experience, when teams build this properly, two things happen:
-->20–30% of marketing activity gets deprioritized immediately.
-->Sales alignment conversations become data-led, not emotional.

The Way Forward: Upgrade in Phases
Instead of chasing tools, build capability in layers.

💫  Phase 1 – AI + Marketing Foundations
 Understand how AI supports personalization, automation, segmentation, and insights.

💫  Phase 2 – Applied AI in Demand Generation
 Move from campaigns to optimization systems predictive modeling, intent-based targeting, AI-driven performance measurement.

💫  Phase 3 – AI + Revenue Architecture
 Connect marketing to revenue math pipeline modeling, lead scoring intelligence, forecasting logic, RevOps alignment.

The good news?
This is learnable.

When teams close this gap:
• Marketing becomes predictable
• Forecast accuracy improves
• CAC becomes defensible
• Revenue conversations shift to the boardroom
• Budgets get justified with math, not hope

Marketing stops being a cost center.
It becomes a revenue system.
And that’s the difference between marketing activity and revenue design.

#revenueintelligence #revenuemarketing #metrics

pic source: Just for illustration

Confession:

For years, I celebrated lead volume.
More downloads.
More form fills.
More MQLs.
And on paper?

Marketing looked like it was winning.
But revenue wasn’t moving the way it should.

That’s when it hit me.
I was measuring marketing analytics…
Not revenue intelligence.

Marketing analytics told me:
 • Cost per lead
 • Channel performance
 • Conversion rates
 • Attribution paths

It made our dashboards look impressive.

But it didn’t tell me:
 • Which leads actually converted
 • Which campaigns influenced real pipeline
 • Where deals were stalling
 • Why revenue wasn’t accelerating

I was optimizing activity.
Not impact.

The shift happened when I started connecting marketing data to sales outcomes.

When CRM insights, pipeline movement, deal velocity, and closed-won revenue became part of the marketing conversation.
- That’s when everything changed.
- The companies doing this brilliantly today understand this alignment deeply. 

They build their revenue engines using platforms like:
 • HubSpot | Salesforce | Gong | Clari | 6sense | Marketo

Not because they love more data.
But because they want revenue clarity.

Now I ask one question before launching any campaign:

“How will this influence pipeline and revenue?”
Not:
 “How many leads will this generate?”

That question alone changes strategy.
- It changes budget decisions.
- It changes alignment with sales.
And most importantly — it changes growth.

So here’s my confession:
If revenue isn’t growing, more leads probably aren’t the answer.
Visibility is.

Are you measuring marketing performance…
Or marketing impact?


👇 If this resonates, let’s talk about where the disconnect might be.


#revenueintelligence #marketinganalytics #marketingpipelinevelocity

If your marketing team talks leads… but not revenue — there’s a capability gap.


In 2026, demand generation is no longer about campaigns.
It’s about:
 • Predictable pipeline
 • AI-assisted forecasting
 • Revenue accountability
 • Sales alignment
 • Full-funnel intelligence

And most teams?
They’re still operating at “content + ads + MQLs”.
That’s not a performance issue.
That’s a skill architecture problem.

Here’s a phased AI + Revenue learning path recommended for marketers with learning attitude (and founders who want to upgrade their team):

❇️ Phase 1: AI + Marketing Foundations
Build awareness beyond hype.
HubSpot – AI for Marketers (free)
NPTEL – AI in Marketing
Google AI Essentials
Outcome: Teams understand personalization, automation, AI use cases.

❇️ Phase 2: Applied AI in Demand Generation
Move from content to performance systems.
Coursera – AI for Marketing Specialization
LinkedIn Learning – Machine Learning for Marketing
Outcome: AI-driven segmentation, predictive modeling, campaign optimization.

❇️ Phase 3: AI + Revenue Architecture
Where most teams fail.
AI for RevOps Crash Programs
Salesforce Trailhead AI Tracks
Outcome:
 • Pipeline math
 • Lead scoring intelligence
 • Revenue forecasting
 • AI-assisted prioritization

Why this matters for founders:
If your team:
 • Can’t explain CAC by segment
 • Can’t model LTV
 • Doesn’t forecast pipeline conversion
 • Talks CTR more than revenue
You don’t have a marketing problem.
You have a revenue capability gap.

The shift in 2026 is clear:
Marketing ≠ Activity
Marketing = Revenue System Design

If you're building or repositioning your marketing team, upgrade skills in phases — not randomly. #RevenueAnalytics #MarketingMeasurement

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The Battle

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