Personalization Options

WandStore personalizes the storefront based on each customer’s Shopify customer and order data. This page explains what data is used, how it’s processed, and what the personalized experience looks like.

What data drives personalization

When a customer signs in, WandStore reads Shopify account and order data and derives a customer profile used for personalization. Here’s what goes into it:

Shopify data	WandStore signal	What it means
Number of orders	Customer tier	New, returning, VIP — based on order count and spend
Order line items	Favorite categories	Product types purchased most frequently
Product brands purchased	Favorite brands	Brands the customer returns to
Item prices across orders	Price range	Average, minimum, and maximum price points
Order frequency & recency	Purchase frequency	How often they shop and when they last ordered
Repeat product purchases	Repeat products	Products they’ve bought more than once
Customer tags	Customer tags	Existing Shopify tags that may support personalization workflows

What is NOT used

WandStore does not use:

• Customer passwords
• Payment information
• Full physical address
• Phone number
• Social media data
• Browsing behavior or tracking cookies

See Data Usage for full details on privacy.

How personalization works

1. Profile creation

The first time a customer signs in, WandStore reads their Shopify order history and computes the signals listed above. This profile is then used to generate personalized storefront content and may be refreshed as customer or store data changes.

2. Persona assignment

Based on the customer’s shopping signals, WandStore assigns one of four personas — shopping styles that determine the overall look and feel of the personalized experience:

• Minimalist — Clean, efficient, search-first layout
• Explorer — Discovery-rich, editorial, story-driven
• Deal Hunter — Price-focused with savings badges and urgency cues
• Loyalist — Recognition-first with reorder sections and loyalty features

Learn more in the Customer Personas guide.

3. AI generation

Using the customer profile and persona, WandStore’s AI generates a personalized storefront layout. This includes:

• Product selection — Which products to feature, based on the customer’s preferences
• Layout and design — The visual arrangement adapted to the customer’s shopping style
• Messaging — Greetings, product descriptions, and calls to action tailored to the persona
• Recommendations — “You might also like” and “Reorder” sections based on purchase history

4. Caching

The generated storefront is cached at the edge so it loads quickly on return visits. Cache refresh behavior depends on the current app implementation and merchant workflow.

Customization options

Merchants can influence personalization through:

• Custom instructions — Each customer’s detail page in the WandStore dashboard includes a free-text field for extra generation instructions. Use this to guide the AI with specific directions for that customer — for example, “highlight subscription products” or “use a warm, casual tone.” These instructions are passed directly to the AI during storefront generation.
• Product catalog — The products available in the store determine what WandStore can recommend. A well-organized catalog with accurate product types and tags produces better personalization.
• Cache management — Refresh or clear generated content through the app’s cache-management workflows when needed.

Tips for better personalization

• Encourage sign-ins — Personalization only works for signed-in customers. The more customers sign in, the more personalization is delivered.
• Maintain good product data — Accurate product types, tags, and descriptions help the AI make better recommendations.
• Be patient with new customers — Personalization improves with purchase history. First-time buyers get lighter personalization that deepens over time.