“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 →Create the systems that facilitate modern marketing.
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.
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.
Reliable tracking begins with an audit that identifies and addresses system issues.
AI manages daily marketing execution, while I oversee and optimize the AI systems.
Positioning, demand generation, and content systems customized to your brand, making sure your messaging stands out from generic AI content.
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.
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.
“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 →“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 →“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 →“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.
“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.
“The agency reports clicks, but the business survives on revenue.”
Attribution rebuilt around pipeline and revenue, not platform vanity metrics.
“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.
“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.
“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.
“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.
“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.
“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.
Recent server-side GTM projects have cut Meta reporting discrepancies by 40% or more. Click any card below for the full review.
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 coursesAnalytics 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.
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.
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.
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.
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.
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.
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.
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.
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.
Whether or not we work together, you will develop a clearer understanding of your marketing systems.
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