Real-Time Personalization for Shopify
A Shopify-tuned deployment of the canonical Real-Time Personalization API — surfaces recommendations through Shopify theme app extensions, native storefront sections, or headless storefront API integration.
- Engagement
- 8–14 week deployment · custom packaging
- Built for
- DTC operators · Shopify-Plus brands · DTC engineering teams
Product recommendations in Shopify themes are typically random or 'frequently bought together' — missing the per-user personalization that's available with proper recommendation infrastructure.
What this is
The canonical Real-Time Personalization API, tuned for Shopify storefront delivery. See the canonical product page in the Operations Algorithms Suite for the modeling backbone, recommendation stack, and SubMagician-integration detail. The Shopify-tuned tuning consists of:
- Theme app extension for direct drag-and-drop integration into Shopify themes.
- Native storefront-2.0 sections for Liquid-based themes.
- Shopify Hydrogen / headless storefront API integration for stores running custom fronts.
- Shopify Customer signal pipeline as the user-context source.
What you get
- The recommendation model deployed against your store's data.
- Theme integration (theme app extension OR native sections OR headless API).
- A/B test infrastructure for measuring lift on conversion and AOV.
- Operator UI consistent with Shopify Admin.
- Quarterly model refresh.
Engagement is shape, not list.
Length and price are functions of the data and the destination. The shape below is the typical engagement.
- Length
- 8–14 week deployment · custom packaging
- Lead
- Bogdan
- Cadence
- Async, weekly
- Bar
- Production
Scoped during the discovery call against the actual data and the operation it integrates with.
Principal engineer. Architecture and most code ships through one keyboard.
Written updates between, calls when the decision needs the room.
Async correctness, capacity under burst, observability at every boundary.
Products this composes with.
Same suite, or vertical-specialized versions in another.
- Also in · Operations Algorithms Suite
Real-Time Personalization API
An API that returns the next-best-product, next-best-content, or next-best-offer per user — fed by the client's own behavior data, augmented (with consent) by Subscription Economy Benchmarks contextual signal where the use case warrants.
- Same suite · Shopify Ops Intelligence Suite
Customer Clustering for Shopify
A Shopify-tuned deployment of the canonical Customer Clustering & LTV Engine — uses Shopify Customer and Orders data plus metafields, syncs results to Klaviyo and Shopify Audiences for activation.
What buyers ask about this one.
Doesn't Shopify already do 'frequently bought together' recommendations?
Yes, at the basic level. The native recommendation surface uses popularity and co-purchase signal — useful but unpersonalized. This product layers personalized recommendations on top, using the full per-user signal (browsing history, past purchase, cluster assignment, contextual signal).
How does it integrate with the storefront?
Three paths. Theme app extension for stores using Shopify's themes (drag-and-drop into Liquid). Native storefront sections for online-store-2.0 themes with section-based architecture. Headless storefront API for stores running custom React/Next.js fronts.
What about Shopify Hydrogen / headless storefronts?
First-class supported. The recommendation API is REST + GraphQL; integration into Hydrogen storefronts is straightforward. Most Shopify-Plus stores running Hydrogen find this the easier integration vs. theme-app-extension.
What's the latency budget?
Sub-100ms p99 for the API call. Theme rendering adds the Shopify rendering budget on top — total perceived latency depends on storefront performance.
Pricing?
Custom deployment only — the integration depth varies enough that self-serve doesn't fit. Discovery call covers the tier.
If the deliverable matches the gap, the next step is one call.
We'll scope length and price against your data and the operation it integrates with. No retainer, no fishing.
Bogdan and team · async-first · OP—2026