Magento

Problem: The ecommerce team wants to test new layouts, filters, and badges on high-traffic category pages, but every change requires a deployment cycle and developer time, slowing experimentation to a crawl. Solution: Using the Magento module, marketers enable Convert’s script from the admin panel and auto-tag category pages with IDs and names. They then create A/B tests in Convert targeting specific categories, changing layouts, copy, and merchandising without touching code. Outcome: Category page experiments launch in days instead of weeks. Winning layouts are identified quickly, increasing click-through to product pages and add-to-cart rates, while freeing developers to focus on core platform work.

Problem: The store carries multiple brands with different value propositions, but visitors see generic messaging and banners. Brand-specific campaigns underperform because the on-site experience isn’t aligned with the manufacturer or brand being viewed. Solution: Convert automatically receives Magento product attributes like manufacturer and brand as targeting variables. Marketers build personalization campaigns that swap headlines, banners, and trust signals based on the manufacturer attribute on product and category pages. Outcome: Shoppers see messaging tailored to the brand they’re browsing—such as warranty highlights for premium brands or discounts for value brands—leading to higher engagement, better add-to-cart rates, and improved conversion for key manufacturers.

Problem: Different product types (bundles, configurables, simple products) require different pricing and offer presentation, but the team can’t easily test variations by product type without complex custom code. Solution: With Magento-aware tagging, Convert knows each page’s product type and custom attributes. Marketers run experiments that change how prices, discounts, and bundles are displayed, targeting only configurable or bundled products, all configured from the Convert dashboard. Outcome: The team discovers which pricing layouts and offer messages work best for each product type. Revenue per visitor increases as high-intent shoppers get clearer pricing and more compelling offers tailored to the product structure.

Problem: Paid campaigns drive traffic to generic category or CMS pages that don’t reflect the specific promotion or audience, making it hard to prove ROI and optimize the on-site experience for each campaign. Solution: Convert uses Magento’s category and custom attributes to target experiments only to visitors landing on certain categories or CMS pages from specific campaigns. Marketers test tailored hero content, product sort order, and promo blocks for each campaign audience. Outcome: Landing experiences become tightly aligned with ad promises and product categories. Campaign-specific tests show clear uplift in conversion and revenue, and results are tied back to Magento orders and Google Analytics for full-funnel attribution.

Problem: A Magento multi-store setup serves different regions and brands, but experimentation is inconsistent. Some stores run tests, others don’t, and changes risk bleeding across stores due to shared templates and code. Solution: Teams configure the Convert module per store view from the Magento admin, enabling or disabling it as needed. They then create store-specific experiments and personalizations in Convert, targeting by store view, catalog, and custom attributes without code changes. Outcome: Each store runs its own tailored CRO roadmap with clear boundaries and reporting. Regional teams optimize independently, while leadership gets unified, store-level revenue and order impact, improving governance and scaling experimentation safely.

Problem: Small tweaks to checkout fields, trust badges, and shipping messages could have big impact, but the team lacks a safe, measurable way to test them without risking broken tracking or conflicting scripts. Solution: Once the Convert module is installed, experiments on checkout and cart pages run through Convert’s visual editor, while Magento order tracking and Google Analytics remain intact. Convert attributes each variant’s performance directly to completed orders and revenue. Outcome: The team confidently tests checkout UX changes with full visibility into revenue impact. Winning variants reduce abandonment and increase average order value, and finance trusts the results because they’re tied directly to Magento order data.