Volusion

Problem: Volusion merchants struggle to know which product page layouts, images, or copy actually persuade visitors to add items to cart, leading to stagnant conversion rates and guesswork-driven design changes. Solution: Install Convert’s tracking code across Volusion product templates, then A/B test different hero images, benefit-focused descriptions, trust badges, and CTAs. Tie each variation to revenue using Volusion’s order amount variable and Convert’s revenue goal. Outcome: Merchants clearly see which product page experiences drive more adds-to-cart and completed orders. They roll out winning variants that lift conversion rate and average order value, instead of relying on subjective design opinions.

Problem: Many Volusion stores see high abandonment at checkout but lack clarity on which step, field, or message is causing friction, making it risky to change the checkout flow without solid data. Solution: Add Convert tracking to all checkout pages and run experiments on form length, field labels, progress indicators, and reassurance messages. Use manual revenue tracking in Volusion’s ROI_Javascripts article to connect each completed order to the tested variant. Outcome: Teams pinpoint which checkout tweaks reduce abandonment and increase completed transactions. They confidently streamline the flow, improving checkout completion rate and revenue per visitor with measurable, experiment-backed changes.

Problem: eCommerce marketers on Volusion often wait on developers to hard-code seasonal banners, promo messages, or urgency elements, slowing campaigns and making it hard to know which promotion format truly performs. Solution: Use Convert Experiences on Volusion templates to A/B test different promo bars, discount messages, countdown timers, and placements—no advanced coding required. All visitor and revenue data is captured centrally in Convert. Outcome: Marketers quickly identify which promotional creatives and placements drive more clicks and sales. They launch and iterate campaigns faster, increasing promo ROI and reducing dependency on development resources.

Problem: Volusion stores often show generic related products or none at all, missing chances to increase basket size and not knowing which cross-sell strategy actually boosts order value. Solution: Implement Convert on product and cart pages to test different cross-sell modules: handpicked recommendations, bundles, volume discounts, or “complete the look” suggestions. Use Volusion’s order amount variable in Convert to measure AOV impact by variant. Outcome: Merchants discover which cross-sell experiences consistently raise average order value and total revenue. They standardize on the best-performing approach, turning existing traffic into higher-margin orders without extra ad spend.

Problem: Paid and email traffic often lands on generic Volusion pages that don’t match visitor intent, leading to low conversion rates and wasted acquisition budget. Solution: With Convert tracking on Volusion landing templates, marketers create experiments that tailor headlines, offers, and imagery based on campaign or source. Experiment and revenue data flows into Convert and can be pushed to analytics tools for deeper segmentation. Outcome: Teams see which tailored experiences work best for each traffic source and scale the winners. Campaigns convert more efficiently, cost per acquisition drops, and marketing budgets are allocated to the highest-performing experiences.

Problem: Full Volusion theme redesigns are risky; launching them to 100% of traffic without testing can hurt conversions and revenue if assumptions are wrong. Solution: Deploy the new Volusion template alongside the existing one and use Convert to A/B test old vs. new across key pages. Revenue tracking via Volusion’s order data ensures each design’s impact on sales is accurately measured in Convert’s reports. Outcome: Stakeholders get clear evidence on whether the redesign outperforms the current experience. They roll out only proven improvements, avoiding costly conversion drops and making design decisions grounded in revenue, not aesthetics.