eCommerce tracking data enables businesses to calculate customer lifetime value, which is the projected revenue a customer generates over their entire relationship with the business. By analysing CLV, businesses can identify high-value customers, tailor retention strategies, and allocate resources effectively to maximise long-term profitability.
6. Abandoned Cart Analysis: Tracking data allows businesses to identify instances of cart abandonment and understand the underlying reasons. By analysing abandonment patterns, businesses can implement strategies to minimise cart abandonment rates, such as optimising the checkout process, sending personalised follow-up emails, or offering incentives to complete the purchase.
7. Customer Journey Mapping: eCommerce tracking data provides insights into israel phone number list the customer journey from the initial visit to the final purchase. By mapping the customer journey, businesses can identify touchpoints that influence customer decisions, optimise the user experience, and address any gaps or friction points along the way.
8. Personalisation and Recommendation Engines: eCommerce tracking data powers personalisation and recommendation engines, which deliver personalised product recommendations based on customer browsing and purchasing behaviour. By leveraging this data, businesses can enhance the customer experience, increase engagement, and drive cross-selling and upselling opportunities.
Customer Lifetime Value (CLV) Analysis:
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