Services / Personalization Engine
The right offer,
for every visitor.
Veynta Tech builds a personalization layer that reads every signal — behavior, purchase history, device, locale — and renders the right product, the right message, and the right price in under 50ms. Most storefronts see a 15-25% lift in average order value within 60 days of launch.
From one-size-fits-all to one-for-one
A production personalization stack that learns from every interaction and decides what to show — per user, per session, per request.
What we learn
Behavior signals — clicks, cart events, session paths, dwell time — join purchase history, demographic context, device fingerprint, and locale into a per-user feature vector. Nothing is guessed. Every recommendation traces back to a specific, auditable signal.
What gets personalized
Product recommendations, hero content, pricing bands, email subject lines, on-site search results, and push notifications. One decision engine, every surface — so the experience stays consistent from first click to re-engagement.
Pilot storefront live in 4 weeks
A focused four-week sprint — from behavior audit to measured lift. No year-long rollouts, no vendor lock-in.
Week 1 — Behavior audit
Instrument the site, map the funnels, baseline today's conversion. We identify where visitors drop and where lift is most available.
Week 2 — Segmentation + model
Train the recommendation graph and pricing model on your catalog and first-party data. Validate offline against held-out sessions.
Week 3 — Surface integration
Wire the decision API into product pages, cart, email, and search. Edge cache tuned for sub-50ms response on every surface.
Week 4 — Pilot + measure
Go live on a traffic slice, A/B against control, report revenue per visitor daily. We only roll wider when the numbers say so.
Four modules, one decision API
Each module ships standalone or as a stack. Use the parts you need — swap them as your business changes.
Recommendation Graph
Collaborative and content-based signals fused into a single ranker. Cold-start covered by catalog embeddings.
Dynamic Price Tuner
Margin-aware price bands per segment, bounded by rules you set. Never below floor, never above ceiling.
Content Personalizer
Hero copy, hero imagery, and CTA variants selected per visitor. Slot-based rendering works with any CMS.
Lifecycle Orchestrator
Email, push, and on-site nudges coordinated on the same user state. No duplicate messages, no dead ends.
Common questions
Will it work on our platform (Shopify / Magento / custom)?
Yes. The decision API is platform-agnostic and ships with reference integrations for Shopify, Magento, BigCommerce, and headless custom stacks. Most integrations are a small theme edit plus one webhook — no replatform required.
Is dynamic pricing legal / ethical?
Segment-based pricing within published bands is legal across the EU and Nordics. We never price on protected attributes. You set the floor, the ceiling, and the allowed segmentation axes — the engine optimizes within that envelope and logs every decision for audit.
How long until we see lift?
First measurable AOV lift usually lands in week four, during the A/B pilot. Full 15-25% lift typically stabilizes within 60 days as the model accumulates enough per-user history to beat the cold-start baseline.
What data do we need to share?
Catalog, order history, and a clickstream feed — that's the minimum. Everything is first-party, GDPR-compliant, and can run inside your cloud if required. We don't sell, share, or cross-pollinate data between clients.
How do you A/B test personalization?
Every deployment ships with a holdout group that sees the pre-existing experience. We report revenue per visitor, AOV, and conversion against that control daily. Rollouts only widen when statistical significance clears p<0.05 on the primary metric.
Ship the right experience to every visitor.
Thirty minutes, one call. We'll walk your funnel, size the opportunity, and tell you whether personalization is the right next move — honestly.
Book a 30-min audit