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About Marketing Automation Lab

Marketing Automation Lab is an independent practice portfolio focused on content-led customer journeys. It brings together lifecycle marketing, audience segmentation, workflow design, conversion content, and experimentation in one place.


Why this lab exists

Marketing automation can easily become a set of disconnected messages or platform settings. This lab takes a different approach: begin with the customer’s decision journey, create content that answers real questions, and use automation to deliver that content at a relevant moment.

The work here is designed to show practical thinking across three different contexts: D2C FMCG, B2B technical products, and education. Together, these projects demonstrate how the same core disciplines - adapt to different purchase cycles and decision environments.

Approach

1) Customer-first
Start with the customer’s goal, information need, and barrier - not with a channel or tool.
2) Content-led

Treat every email, page, guide, and reminder as a useful part of the decision journey.

3) Data-aware
Use clear segments, behavioural signals, permissions, and workflow rules.
4) Experiment-driven
Document hypotheses and test deliberately.
5) Practical
Build assets and workflows that can be understood, reviewed, and implemented.

About the practitioner

I am Sudhakaran. A marketing communications professional with an interest in content strategy, lifecycle marketing, consumer journeys, and digital engagement. This lab documents a structured transition into marketing automation through independent practice projects, research, and hands-on workflow design.
Based in Coimbatore (Tamil Nadu, India), I bring a research-oriented approach to marketing problems: break down the journey, organize the information, identify the decision points, and build communication that helps people take the next step.

Portfolio disclosure

Unless explicitly marked otherwise, the work on this website consists of independent practice projects, conceptual campaigns, templates, and learning artifacts. They are not commissioned client work and do not claim access to proprietary data, campaign results, or internal systems. Any brand references are used only for context and do not imply endorsement, partnership, or affiliation.

M V Sudhakaran - practitioner