Stop 12 · AI & Modern Marketing ToolsTopics · 5/7

AI-Powered Personalization

Part of the Digital Marketing Roadmap

In short

Rule-based segments say 'send this to everyone in Delhi'. AI personalisation goes further: it learns from each person's behaviour and picks the product, message or timing most likely to suit them.

Using AI to tailor content, product recommendations, or email messaging to individual users at scale — increasingly common in email platforms and e-commerce, beyond simple rule-based segmentation.

The blob pours chai from a kettle into a glass with ginger and a sugar bowl on the counter.

Think of it like this

The chaiwala who remembers

Your regular chaiwala starts pouring 'kam cheeni, extra adrak' the moment you walk up. He learnt it from watching your orders, not from a form you filled. AI personalisation tries to do that for thousands of customers at once, using what they click and buy.

Watch it happen

How a store picks recommendations for one shopper

Shopper
Online store
AI model

views 3 running shoes

1/5The shopper browses a few running shoes and a sports watch.

The big ideas

What you need to know

Data in, picks out

Personalisation runs on behaviour data: views, clicks, purchases. Messy tracking means bad recommendations.

Common uses

Product recommendations, dynamic email blocks, personalised homepages and suggested content.

Consent and privacy

Collect data with clear consent and follow privacy law. India's DPDP Act and GDPR set rules on personal data.

Don't be creepy

Helpful feels like 'you might like these socks'. Creepy feels like 'we know you were up at 3 am'.

Save yourself the pain

Common mistakes

Oops

Turning on personalisation with only a few hundred visitors a month.

Do this instead

Models need enough data. Start with simple segments, then add AI as traffic grows.

Oops

Never checking what the algorithm recommends.

Do this instead

Spot-check picks regularly. Recommending the product someone just bought looks silly.

Your mission

Spot personalisation in the wild

~20 min

Quick check

What does AI personalisation need most to work well?

Go deeper

  1. 1Explore a personalization feature in a marketing tool (e.g. dynamic email content blocks).
  2. 2Learn the difference between rule-based segmentation and AI-driven personalization.
  3. 3Consider the ethical line between helpful personalization and manipulative micro-targeting.

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