Edition #5 - Live Masterclass

Where every experience drives measurable growth

Commerce Unlocked #5: Context Engineering Masterclass

Why elite retail marketers engineer context, and how a Retail Semantic Data Layer transforms what your CDP can do
Speaker

Amit Rohatgi
VP — Product Management, Algonomy

Date

Thursday, 30 April 2026

Duration

45 minutes

Time

8:30 AM PDT  |  5:30 PM CEST  |  9:00 PM IST

What you’ll discover

In this masterclass, Amit Rohatgi, VP of Product Management at Algonomy, will walk CDP practitioners through the architecture gap that sits between good data and great personalization — and give you a practical framework to close it.

You'll learn how elite retail marketing teams are:

Engineering context, not just collecting data

Understanding why assembling the right decision-specific payload — not more data — is what separates personalisation that converts from personalisation that annoys.

Building a Retail Semantic Data Layer

Learning what a semantic layer is, why it matters for retail, and how it changes what your activation channels actually receive at the moment of decision.

Mapping decision contexts to data payloads

Using a practical framework to define exactly which profile traits, intent signals, suppression rules, and consent flags each customer moment needs — and nothing more.

Diagnosing the two silent personalisation killers
The batch trap (profile data updated hours ago) and the data graveyard (CDP stores data but nothing acts on it) — with the architecture fix for both.

Building their own Context Blueprint — live

Completing a structured 10-minute workshop exercise during the session, surfacing real gaps in their current stack with AI-powered gap analysis.

Who should attend

This masterclass is built for practitioners who work at the intersection of data, technology, and retail marketing — and want a practical, architecture-level understanding they can act on immediately.

CDP & Marketing Technology Practitioners

MAP/CDP platform owners and martech managers who want to understand why their stack underdelivers on personalisation — and what the data architecture fix looks like.

Personalisation & Digital Commerce Leaders

Directors and senior managers responsible for ecommerce performance, conversion, and digital CX who need a clearer picture of the context problem — and how to fix it without rebuilding their stack.

Data & Analytics Teams supporting Retail Marketing

Data engineers, analysts, and architects who are being asked to make personalisation work better — and want a structured framework for how semantic modeling and context APIs change the equation.
If your role involves making customer data work harder for retail growth, this masterclass is for you.

About the speaker

Amit Rohatgi leads Product Management at Algonomy, with deep expertise in composable CDP architecture, retail data modeling, and real-time personalisation infrastructure. He works closely with enterprise retail customers across the US, UK, and APAC to solve the hardest data-to-decision problems in modern retail — translating complex architecture patterns into practical frameworks that marketing and technology teams can act on together.

Amit Rohatgi

VP — Product Management, Algonomy

About Commerce Unlocked

Commerce Unlocked is Algonomy’s ongoing series for retail marketing and commerce professionals — delivering practitioner-level insights, frameworks, and strategies that drive measurable growth. Each edition goes deep on one topic, with no vendor pitch and no surface-level overviews. Just the ideas, architecture patterns, and real-world examples that help retail teams move faster and perform better.

FAQs

Neither. This is a practitioner masterclass. Amit will walk through architecture concepts, frameworks, and a live workshop exercise. Algonomy’s products are referenced where relevant as examples of how the concepts work in practice, but the session is designed to be valuable regardless of your current tech stack.

Intermediate to advanced. You should have working familiarity with CDPs, marketing data pipelines, or personalisation platforms. The session assumes you know what a CDP is and are grappling with why it is not delivering the personalisation results you expected.

A practical framework for context engineering in retail, an understanding of what a Retail Semantic Data Layer is and why it matters, and your own completed Context Blueprint — a one-page diagnostic of your current stack gaps with a specific action to take to your data team.

Yes. All registered attendees will receive a recording link after the session. However, the live workshop exercise is only available to attendees joining in real time — the AI-powered gap analysis runs during the session itself.

Get Recording Now

Resources

Guides

Dynamic Content Personalization: How Active Content Brings Dynamism into Your Campaigns

Let’s face it—customers nowadays expect deeper and relevant communication, not cookie-cutter-styled messaging across every channel.

Case Study

Personalizing Beauty at Scale: How Matas Grew Attributable Sales by 36% with Personalized Recommendations

Deliver a best-in-class customer experience, increase online sales, and drive operational efficiency at scale