Rudranil Chakrabortty · Consulting & Courses

Marketing Engineering

Create the systems that facilitate modern marketing.

Rudranil Chakrabortty

Hi, I’m Rudranil. I design and implement measurement systems for GA4, GTM, server-side tagging, Amplitude, Mixpanel, and AI-enabled operations for SaaS and growth-driven businesses. My work combines strategic planning with hands-on engineering.

13
Years in marketing & analytics
50+
Analytics and conversion tracking builds
40,000+
Students taught
130,000+
Hours of content consumed
IIMs
Guest lecturer
01 The premise

Most marketing problems have underlying systems problems.

When campaigns underperform, leads decline, or growth stalls, the root cause is often a systems issue, not a marketing one. Broken conversion tracking, unreliable dashboards, disconnected CRMs, and delayed reports are engineering gaps, not strategy failures.

AI highlights these issues. Each tool is only as effective as the data supporting it. Well-integrated, reliable systems enable trustworthy AI-driven decisions. Broken tracking leads to unreliable AI outputs.

This is my focus: bridging strategy with the systems that collect, connect, and automate essential data.

02 — The Marketing Engineering Framework

Three ways I work on your marketing.

Measure Automate Consult
01

Measure

Analytics Engineering

Reliable tracking begins with an audit that identifies and addresses system issues.

  • GA4 and GTM audit, fix, and implementation
  • Amplitude and Mixpanel product analytics setup
  • Server-side tagging (sGTM), Meta CAPI, and Consent Mode v2
  • Reporting, BigQuery, and AI-generated plain-English insights
40% EVENTS 27% CONVERSIONS 20% SERVER-SIDE 13% CONSENT
02

Automate

AI Marketing Operations

AI manages daily marketing execution, while I oversee and optimize the AI systems.

  • Managed AI marketing operations: automated triggers, lifecycle messaging, and reporting that operate independently.
  • CRM, billing, product, email, and ads integrations
  • AI-powered conversation intelligence dashboards
  • Human monitoring guarantees data quality and strategic consistency, covering areas beyond AI’s capabilities.
CRM SYNCED CHAT TAGGED ADS UPDATED DASHBOARD LIVE
03

Consult

SaaS Product Marketing

Positioning, demand generation, and content systems customized to your brand, making sure your messaging stands out from generic AI content.

  • Product marketing strategy and go-to-market
  • Grounded AI content systems: your docs, your customers’ language, your voice
  • Website and content consultation
CATEGORY FIT DEMAND POSITIONING
03 Why clients hire me

Marketing projects often fail due to handoffs. I eliminate these gaps.

Most businesses split marketing across specialists. One person owns strategy, another handles execution, a developer handles tracking, and an analyst handles reporting. Every handoff loses context.

I maintain end-to-end system integration. With single ownership from strategy through implementation and measurement, you get better decisions, faster execution, and more reliable outcomes.

Deciding what should be measured, and why
Building the tracking, client-side and server-side
Connecting the systems: CRM, ads, chat, reporting
Automating what should never be manual
Interpreting the results and recommending what to do next

I take accountability from the first strategy call to the dashboard your team reads.

My experience spans 4 years in software development and 13 years in marketing and analytics. I bridge the gap between marketing objectives and technical execution daily.

04 — In practice

The problems I get hired to fix.

Measure 01

“Meta says 12 conversions. Stripe says 30.”

Server-side tagging with Meta CAPI, deduplication, and Consent Mode v2. On recent projects, this cut Meta’s reporting discrepancy by 40% or more.

See how I fix this →
Measure 02

“GA4 was set up by someone, sometime. Nobody trusts it.”

A fixed-price audit maps every tag, trigger, and event against what the business needs to know, with a written report of what is broken and what it costs you.

See how I fix this →
Measure 03

“We can see traffic, but not what users do in the product.”

Amplitude or Mixpanel implementation with a designed event taxonomy, so product, marketing, and revenue data finally describe the same customer.

See how I fix this →
Measure 04

“Tracking breaks silently after every site update.”

A renamed button kills a conversion event, and nobody notices for weeks. I set up monitored tracking that catches these changes and flags or repairs them before you lose data.

Measure 05

“Marketing and sales report different revenue.”

One measurement plan and a single source of truth with clear definitions. Meetings are about decisions, not about whose number is right.

Measure 06

“The agency reports clicks, but the business survives on revenue.”

Attribution rebuilt around pipeline and revenue, not platform vanity metrics.

Automate 07

“Sales calls are full of insight nobody has time to extract.”

An AI layer that reads your sales conversations and reports what is stalling deals, which objections repeat, and which campaigns bring buyers.

Automate 08

“Reports arrive on the 5th. Decisions were needed on the 1st.”

Live dashboards and AI-written plain-English summaries, delivered on schedule, explain the numbers and what they mean without waiting on anyone.

Automate 09

“Every tool has the data. No tool has all of it.”

The plumbing between CRM, billing, product, email, and ads ensures your segments and triggers work from the full picture, not fragments.

Consult 10

“Our AI content sounds like everyone else’s AI content.”

A content system grounded in your product docs, real customer language, and your brand voice. AI drafts, even when AI-generated, express your thoughts and perspectives.

Consult 11

“Trial signups are fine. Trial-to-paid is not.”

A positioning and lifecycle review of the gap between what marketing promises and what onboarding delivers, and where the message loses the user in between.

Consult 12

“The founder is the bottleneck for all content.”

A system that turns your raw input (calls, voice notes, rough docs) into publishable content in your voice, on a schedule that does not depend on your calendar.

05 — From the lab

I do not just recommend systems. I build them.

Self-Healing Analytics for GA4 and GTM

In development

Most GTM setups fail without any notification when a developer renames a button, compromising analytics for weeks. I developed a tracking layer that identifies elements by intent rather than CSS selectors. When the DOM changes, an AI model reviews the page, finds the new matching element, and updates the fingerprint automatically. The event name in GA4 remains consistent, retaining historical data.

Learn more / join the waitlist →

Sales Conversation Intelligence

In development

An AI layer transforms sales conversations from CRMs, calling systems, Zoom, and other channels into structured insights: what is effective, what is stalling, and where to focus next.

Learn more / join the waitlist →
06 Proof

What clients say

Recent server-side GTM projects have cut Meta reporting discrepancies by 40% or more. Click any card below for the full review.

Lorien Finance Mantel Group GLTIS constructn.ai SEMAI Spark Advisory WizIQ Interview Preparation Simplified YUNO Learning Tomspike Aspiring Minds
Lorien Finance Mantel Group GLTIS constructn.ai SEMAI Spark Advisory WizIQ Interview Preparation Simplified YUNO Learning Tomspike Aspiring Minds
07 — Courses

Learn the systems yourself

Practical courses on Google Analytics 4, Google Tag Manager, Google Ads, and SaaS Marketing, featuring practical projects and real case studies. Trusted by over 40,000 students who have completed 130,000+ hours of content since 2020.

All course material is based on systems I develop for real clients, not theoretical classroom examples.

Browse courses
Google Analytics 4 01 Google Tag Manager 02 Google Ads 03 SaaS Marketing 04
08 — Latest thinking

From the blog

All posts →
Server-side GTM
Running Server Side GTM in Production: 5 Problems to Review and Fix
GA4
Google Signals, Google Ads, and the Consent Mode Shift: What Marketers Actually Need to Understand
AI Coding
How I Automated SEO, AEO, and GEO for My Website — and How You Can Too
09 Questions
+ What services does Funnelysis offer?

Analytics engineering (GA4, GTM, Amplitude, Mixpanel, server-side tagging, audits, reporting), managed AI marketing operations (I set up and operate the automation), SaaS product marketing, and AI content systems grounded in your product and customers. Plus online courses that have reached 40,000+ students.

+ What is a managed AI marketing ops engagement?

I build the tracking, triggers, and content system once, then operate it monthly. AI handles execution; I handle data quality, review, and strategy. You get the output of a marketing ops team without hiring one.

+ What does "marketing engineering" mean in practice?

It means I build and operate the systems, not just recommend them. Recent examples include server-side GTM deployments with Consent Mode v2, CRM-to-chat-platform integrations, automated analysis of sales conversation data, and AI-assisted analytics audits. You get a marketer who can open the hood.

+ Why server-side tagging instead of browser tracking?

Browser-side tracking loses more data every year to ad blockers and privacy restrictions. Server-side tagging (sGTM) moves the process to a server I control, improving data correctness, page speed, and compliance posture. The trade-off is added infrastructure and maintenance, which I set up and monitor.

+ How do you use AI in your work?

As leverage, not a replacement for judgment. AI makes my audits faster and more exhaustive, turns analytics data into plain-English summaries, analyzes unstructured data like chat transcripts, and powers marketing automations. I am personally accountable for every deliverable and process client data with AI tools only after explicit written approval.

+ Who do you work with?

For analytics engineering (GA4, GTM, Amplitude, Mixpanel, server-side tagging), I work with any business serious about reliable measurement. Recent clients span fintech, edtech, consulting, and insurance. I focus on product marketing strategy and AI marketing operations, primarily for B2B SaaS businesses.

+ How are the courses different from the consulting?

Same systems, different delivery. Consulting means I build it for you. Courses mean you learn to build it yourself, with lifetime access and Q&A support.

+ What does an engagement cost?

It depends on scope. Audits and consultations are fixed-price. Implementations and ongoing work are scoped after a free 30-minute call. No retainers you do not understand.

+ How do I get started?

Book a free 30-minute consultation. We discuss your goals, I honestly tell you whether there is a fit, and you leave with the following steps either way.

10 — Start here

Ready to find what's slowing your marketing?

Whether or not we work together, you will develop a clearer understanding of your marketing systems.

Schedule your free consultation
In a single 30-minute call, we will identify
01Tracking gaps
02Reporting problems
03Automation opportunities
04Next steps
Reliable marketing, engineered.
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