Customer Behavior + BigCommerce + Specialty Retail

Ward tracks basket composition shifts, daypart patterns, and customer segment migration. For Specialty retail specifically, Ward monitors 5,000+ SKUs across your boutiques and delivers automated insight cards with root cause analysis and recommended actions.

Ward tracks CLV, Conversion rate, Units per transaction, Repeat purchase rate, Sell-through by tier at the store-category level. Ward analyzes transaction-level data to detect shifts in basket composition, shopping frequency, daypart preferences, and segment movement.

Ward connects via BigCommerce REST API with OAuth. Webhooks for real-time order and inventory events. Data points include: Orders, Products & variants, Customers, Inventory, Promotions, Storefront analytics.

Yes. Ward reads BigCommerce data and combines it with contextual signals (weather, events, demographics) to generate Specialty-specific insight cards. No custom development required.

Ward tracks purchase frequency trajectory, category exploration patterns, price tier migration, associate attachment, and at-risk signals like declining visit frequency or narrowing category purchases.

Ward identifies a cohort exhibiting "emerging loyalist" behavior: increasing visit frequency, trading up in price tier, and expanding from their original category into new ones. Historical modeling shows this pattern strongly predicts top-decile lifetime value. Ward recommends personalized outreach — tasting events, staff recommendations, curated selections — and the targeted cohort shows substantially higher retention than a matched control group.

First insight cards arrive within 48 hours of data connection. Ward needs approximately 2 weeks to establish robust baselines for your specific operation.

No. Ward sits on top of your existing stack. It is the proactive intelligence layer that watches your data continuously and delivers insight cards — so your team acts on findings instead of hunting for them.