Personalized Web Marketing — also known as PDM (Personalized Digital Marketing) or CRM Marketing - is an approach where a person receives information or offers that are likely to be relevant. It is based on their past online behavior — such as what they viewed, purchased on the website, or which pages they visited.
EmailPushOccasionContentRecommendationsPromoCodesBanners PDM

There can be hundreds of personalization scenarios — from emails and banners to recommendations and promo codes. Here are a few examples where it usually starts:

Email / Push Notification

You visit a website, pick a few items, add them to your cart — and then close the tab without placing an order. A day passes. You get a notification or an email:

“You left some items in your cart — they’re still waiting for you. And today — free shipping.”

Simple and effective. A friendly reminder that’s timely and relevant. No pressure — just a gentle nudge. It doesn’t feel like advertising, more like a thoughtful gesture.

This is personalized messaging — relevant, timely, and with a sense of real, human communication.

Recurring Pattern

You order vitamins every month — roughly around the same dates. A couple of days before the usual time, you receive a notification:

“Just a heads-up — you might be running low. Your last order was 28 days ago.”

No pressure. Just a logical and helpful reminder. Personalization can be useful without being pushy.

Promo Code / Motivation

You visited a beauty salon a few months ago. Everything went great — but you haven’t been back in a while. The system notices that and gently offers a reason to return:

“15% off your next appointment — just for you. Drop by whenever it’s convenient.”

This message doesn’t feel like a promo — more like care. A warm sign that you’re remembered and welcome. No urgency, no pressure — just a pleasant opportunity to come back.

How does it work?

Data Collection

Every user action is a source of data. We analyze which pages they view, what they add to the cart, how long they stay on the site, when they return, and which actions they repeat. These behavioral signals allow us to build a reliable behavioral model and understand real interests, interaction frequency, and the customer’s potential value.