Do we need a lot of traffic before personalization is worth it?

Helpful benchmarks: enough product or content catalog to differentiate, and enough sessions to see patterns, often thousands of monthly visitors for ecommerce, less for high-ticket B2B with rich CRM data. We audit first and tell you if the data supports meaningful segments yet.

Recommendations vs full site personalization: what's the difference?

Recommendations suggest products or content based on behavior: good first step. Full personalization changes banners, modules, or messaging by segment. We usually start with recommendations or one high-traffic page, then expand.

Can this work with Shopify, WooCommerce, or custom apps?

Yes. We integrate via platform APIs, JavaScript modules, or backend services depending on your stack. Custom builds get tighter control; platforms may use apps plus custom logic where needed.

How do you measure if personalization is working?

A/B or holdout tests on click-through, add-to-cart, conversion, or engagement, not just impressions. We define success metrics before launch.

How do we get started?

Share your platform, catalog size, and analytics access. We propose a scoped first release, often related products, homepage modules, or one segment-specific experience.

AI Personalization

Personalization that uses
your catalog and behavior data

Recommendations, segments, and on-site modules for web and apps, scoped to what your traffic and data can actually support.

Discuss personalization

Personalization

Products

Segments

Behavior

Modules

Tests

Integrate

Who this is for

Businesses with enough catalog depth and visitor data to show something more relevant than the same homepage for everyone.

Ecommerce & marketplaces

Related products, recently viewed, and category-aware modules on PDP and cart.

SaaS & content platforms

Onboarding paths, feature prompts, and content feeds based on role or usage.

Teams with CRM + web data

Sync segments from sales or lifecycle stage to what logged-in users see on-site.

What we deliver

Start narrow, measure, then expand

Product recommendations

Related items, bundles, and cross-sell blocks driven by views, purchases, and catalog rules.

Audience segments

Behavioral and attribute-based segments from analytics, CRM, or first-party data.

On-site modules

Homepage heroes, category rails, and banners that swap by segment or return visitor.

App personalization

In-app feeds and prompts for mobile products when web-only widgets are not enough.

A/B and holdout tests

Compare personalized vs default experiences on conversion, not vanity lift claims.

Data readiness audit

Honest assessment of whether your volume and catalog support personalization yet.

How we approach personalization

Useful relevance, not creepy overreach

Data audit first

We check catalog, events, and volume before recommending scope.

Phased rollout

One module or page first. Expand when tests show lift.

Privacy-aware

First-party data and consent-friendly patterns, not shady tracking.

Fits your stack

Shopify, Woo, or custom, integrated where you already host and sell.

Related services

Personalization sits on top of store, app, and analytics foundations.

Ecommerce solutions

Custom software

Analytics & reporting

Frequently asked questions

Enough catalog to differentiate and enough sessions to see patterns, often thousands of monthly visits for ecommerce. B2B with rich CRM data can start smaller. We audit and tell you honestly.

Recommendations are the usual first step. Full personalization swaps modules or messaging by segment. We start narrow, then expand when tests justify it.

All three: via APIs, JS modules, or backend services. Custom apps allow tighter logic; platforms may combine apps with custom rules.

A/B or holdout tests on CTR, add-to-cart, conversion, or engagement, defined before launch, not retrofitted.

Ready to show something more relevant?

Share your store or app and data situation. We will say what is realistic for a first personalization release.

Talk to us

Personalization that uses your catalog and behavior data