eCommerce personalisation strategies to make your sales soar

eCommerce personalisation uses customer data such as demographics, browsing behavior, purchase history, preferences, intent, and device usage to tailor content, product recommendations, promotions, navigation, and checkout experiences. The approach is presented as a way to improve relevance, loyalty, conversions, average order value, engagement, user experience, competitive differentiation, and understanding of product demand; the source cites Epsilon research suggesting personalised experiences make customers 80% more likely to purchase. Unlike customisation, which is controlled by the shopper, personalisation is designed by the retailer using customer insights. Effective strategies include localised content, related-product recommendations and bundles, targeted discounts, adaptive site navigation, user-generated content, first-visit offers, recommended searches, and personalised exit offers. CMS and CRM platforms can work together to manage content and track customer interactions, while headless CMS technology supports omnichannel delivery across websites, mobile apps, social media, physical stores, and connected devices. The text also promotes Airwallex as a checkout personalisation option, highlighting its integrations and support for multiple currencies and local payment methods.

No tracked trend matches for this post yet.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.