AI personalization layer

An AI personalization layer is a system that adapts site elements to a specific user: shows relevant blocks, products, banners, content and offers based on their behavior (views, actions, history) and segment. Unlike product recommendations (872), this is broader — personalization of the whole experience. Honestly about data and privacy, this is key: personalization works on behavior data, and collecting it requires user consent and privacy compliance (policy, consent banners). You cannot thoughtlessly collect and use personal data — it is both a legal risk and a matter of trust. We build privacy in from the start. Honestly about 'no conversion guarantee': personalization raises the chance of relevance but does NOT guarantee sales or conversion growth. The effect depends on data quality, audience and implementation; sometimes a well-made general version is no worse. So we verify hypotheses via A/B rather than declare growth in advance. Honestly about errors and moderation: the model can wrongly 'guess' an interest and show something irrelevant; and excessive personalization can be intrusive and 'creepy' (the user feels watched) — that repels. We balance benefit and appropriateness. Honestly about the cold start: for new users there is little data — we start with segments/rules and refine as it accumulates. Honestly about the effect: with good data and careful implementation it raises relevance and engagement, but it is a process with measurement, not 'magical growth'. Honestly about access: behavior analytics, data consent and code access are needed. An important boundary: this is experience personalization; product recommendations — 872; real-time content personalization — 880. Picture this: instead of 'the same site for everyone' — an experience tuned to interests, with respect for privacy. The base price starts from 55,000 ₽ (depends on volume and data).

• Everyone is shown the same site without regard for interests.
• The relevant is lost among the general — lower engagement.
• Behavior data exists but is not used.
• Fear of making personalization intrusive or illegal on data.

• A personalization layer for blocks/content/offers
• Reliance on user behavior and segments
• Consent and privacy setup (a legal requirement)
• Balance of benefit and appropriateness (against 'creepy' personalization)
• Cold-start solution (segments/rules → data)
• Effect verification via A/B (no growth promises)
• A link with recommendations (872) and real-time (880)
• Handover and review with you

• A site experience tuned to the user's interests
• Higher relevance and engagement (conversion — not a guarantee)
• Privacy and consent accounted for from the start
• Hypothesis verification via A/B, not belief in 'magic'

• We assess data, segments, privacy; collect access
• We implement personalization with consent and appropriateness balance
• We verify via A/B, honestly set effect boundaries with you

• Will personalization definitely raise conversion?

  Not guaranteed, and that is honest: it raises the chance of relevance but does not promise sales or conversion growth. The effect depends on data, audience and implementation — sometimes a good general version is no worse than a personalized one. So we verify hypotheses via A/B and show the real result rather than declare growth in advance.

• Is it even legal to collect data for personalization?

  Only with consent and privacy compliance — and we build that in. Personalization works on behavior data, and collecting it requires user consent, a privacy policy and careful handling. You cannot thoughtlessly collect personal data — it is a legal risk and undermines trust. We set up consent and privacy from the start.

• Won't personalization be intrusive and 'creepy'?

  That is a real risk, and we balance it. Excessive personalization, when the user feels watched, repels more than it helps. We make personalization useful and appropriate rather than demonstrative, and measure the reaction. The goal is to make it more convenient, not more alarming; we keep moderation deliberately.