AI Personalization

An individual experience for every customer - everywhere.

We engage customers with data- and AI-driven personalization - delivering unique experiences that build loyalty and translate into revenue growth. We activate your first-party (1st-party) data and turn it into personalized interactions across every channel.

Conversion avg ↑ 30%Basket value ↑ 17% AOV1:1 personalization in real time
Starting point

Why have mass campaigns stopped being enough?

Customers today expect a brand to know them - to understand their preferences, history and purchase intent. Identical messages to everyone mean low conversion, high costs and customers drifting to competitors who can speak to them individually. We activate your first-party (1st-party) data and turn it into personalized interactions across every channel.

Customers who experience personalization spend on average 20% more than those served with mass messaging.

75% of shoppers expect personalized experiences - if they do not get them, there is a high probability they will leave for a competitor.

AI personalization deployments at Persooa clients translate on average into a 17% increase in AOV and a 30% increase in conversion.

01

First-party (1st-party) data activation

Customer data already lives in your organization - in e-commerce, CRM, the mobile app and the loyalty system.

The problem is that these sources rarely talk to each other. We consolidate them into a single unified customer profile and activate it in real time. Every campaign, recommendation and message uses the full context - not a slice of data from one system.

Business value: a complete view of the customer in one place, higher message relevance, elimination of data silos between departments

02

Segmentation based on AI and domain expertise

We combine industry best practices - RFM models, customer lifecycle, product category - with AI predictions that identify patterns invisible to humans.

As a result, you reach customers at the right moment in their journey: new, active, at risk of churn and dormant - each with a different message matched to their group.

Business value: precise targeting, a higher conversion rate, reduced cost of reaching inactive segments

03

Real-time AI product recommendations

Algorithms analyze the customer's current behavior - what they browse, what they added to the cart, what they bought before - and select recommendations matched to their current intent, not averaged bestsellers.

We deploy dozens of scenarios at every stage of the journey: the homepage, the product card, the cart, checkout and post-purchase communication. For clients such as Homla this resulted in a 10% increase in average order value and an 8% higher number of transactions.

Business value: higher AOV, more transactions from recommendations, better conversion on key catalog pages

04

Personalized communication across every channel

The same personalization logic that works on the website carries over to email, SMS, web push, the mobile app, paid ads and web chat.

The customer gets a consistent experience no matter where we meet them - the message takes into account their purchase history, category preferences and stage of the relationship with the brand. In the web chat channel, the support agent sees previous purchases, recently viewed products and message history - and does not start the conversation from scratch. For Orange, deploying AI-based personalized email campaigns translated into more than a 10x increase in orders from that channel and a 3x increase in conversion.

Business value: a consistent omnichannel experience, higher return from email and push campaigns, personalized customer service without asking for data we already have

05

AI predictions: Next Best Action and the best contact channel

Instead of deciding intuitively when and how to contact a customer, we hand that decision to predictive models.

The Next Best Action algorithm indicates the optimal action for each customer - an upsell offer, the moment for reactivation or a complementary recommendation - and selects the channel with the highest probability of response. For each person a different timing, a different channel, a different message.

Business value: a higher campaign response rate, reduced communication pressure on customers, better ROAS

06

Personalizing the on-site purchase path

Every step on the site - from the homepage, through the category listing and the product card, to checkout - displays content matched to the specific user.

We personalize banners, product order, promotional content and recommendation frames. Coccodrillo achieved a 26% increase in basket value and a 16.5% increase in transactions from recommendations this way.

Business value: higher conversion on category and product pages, higher basket value, a better shopping experience without IT work

07

Monitoring personalization's impact on revenue

Personalization without measurement is just a cost.

We prepare reports showing the real impact of personalization activities on revenue - consolidating data from all channels and campaigns. We monitor CLV, churn, engagement and RFM, as well as the effectiveness of predictive models. You know which scenarios drive results and can optimize them on an ongoing basis.

Business value: transparent ROI from personalization, faster detection of low-effectiveness scenarios, decisions based on data instead of intuition

Blog

Latest articles

Knowledge and practical tips on Synerise, AI and personalization.

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E-commerce growth calculators: CLV, churn cost, loyalty program

Three free, interactive Persooa calculators: compute Customer Lifetime Value (CLV), the annual cost of churn and the ROI of a loyalty program for your e-commerce.

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Knowledge June 20, 2026 11 min read

Synerise vs MarTech - how the platform differs from others on the market

A comparison of Synerise with the largest MarTech platforms. A proprietary foundation model trained on behavioral data, the TerrariumDB database, 31 billion events per month and 50 features you won't find at the competition.

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