Shift4Shop (Formerly 3dcart)

Problem: High-traffic product pages on your 3dcart store get views but few add‑to‑carts. Updating layouts, CTAs, or trust elements requires dev time, so experiments are slow and based on guesswork. Solution: Use Convert on 3dcart product pages to A/B test elements like CTA copy, image order, badges, and guarantees. Target by SKU, price range, or manufacturer using automatically surfaced product data. Outcome: Increase add‑to‑cart and product page conversion rates while clearly seeing which variation drives more revenue per visitor. Iterate quickly without code changes and scale winning patterns to similar SKUs.

Problem: Category and collection pages attract a lot of traffic, but few visitors click into product detail pages or use filters effectively, limiting overall store revenue. Solution: Leverage 3dcart’s category name and ID in Convert to run tests on grid layouts, sorting defaults, filter visibility, and promotional banners only on specific categories or brands. Outcome: Lift product click‑through and engagement on your most important categories. See which layouts and messages increase revenue per visitor and apply them across similar categories with confidence.

Problem: You show the same promotions to all shoppers, regardless of how much they have in their cart or what they’re buying, missing chances to increase average order value. Solution: Use 3dcart cart data (items in cart, product attributes) in Convert to target experiences: free shipping banners above certain cart values, bundle suggestions, or tiered discounts for specific SKUs. Outcome: Increase AOV and order items by tailoring incentives to real-time cart behavior. Track uplift in revenue per visitor and quickly roll out the highest-performing cart-based offers storewide.

Problem: Returning and logged‑in customers see the same generic experience as new visitors, despite having known purchase histories and preferences in 3dcart. Solution: Use 3dcart’s customer ID (username) and custom attributes surfaced as JavaScript variables in Convert to build segments for returning buyers, VIPs, or specific interest groups and personalize content. Outcome: Improve repeat purchase rate and loyalty by showing more relevant products, messages, and promotions to high‑value segments. Measure impact on conversion rate and lifetime value through GA revenue tracking.

Problem: Major design or template changes on your 3dcart store are risky. Without controlled testing and revenue tracking, it’s unclear if a redesign actually helps or hurts performance. Solution: Deploy redesigns as A/B tests in Convert across your 3dcart site, using page tags for consistent targeting. Connect Google Analytics ecommerce tracking to declare winners based on revenue, not just clicks. Outcome: Reduce redesign risk and ship only changes that increase revenue per visitor and order items. Build an internal culture of evidence-based improvements instead of subjective design decisions.

Problem: Marketing campaigns, seasonal promos, and new messaging ideas are delayed because every change to your 3dcart store requires developer involvement and QA cycles. Solution: Install the Convert script once via 3dcart’s header/footer and let marketers create and launch experiments or temporary campaign experiences directly from Convert, without touching store code. Outcome: Increase testing velocity and respond faster to market opportunities. Quickly identify winning campaign messages and creatives, and attribute their impact using unified conversion and revenue reporting.