Ecommerce
13 articles tagged “Ecommerce”. Tags cut across categories, so you may find analytics, chat and product notes side by side.
Tagged Ecommerce
13 articles
Live chat for ecommerce: where it helps a store sell, and how to measure it
Live chat helps online stores answer the questions that stop a purchase: size, shipping, returns, payment. Where to place it, what shoppers ask, how to use proactive invites and AI for peaks, and how to measure its effect on sales honestly.
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Ecommerce analytics: metrics, reports and how to set it up
Ecommerce analytics joins traffic, behavior and transactions. The metrics and formulas that matter, five reports every store needs, setup steps and a channel-quality example.
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Mobile CRO: why mobile converts less and how to fix it
Mobile conversion rate optimization: why phone visitors convert less, a mobile CRO checklist, a five-step process and a checkout example that added 210 orders a month.
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Ecommerce funnel: stages, metrics and how to find the leak
The ecommerce funnel from visit to purchase and repeat: stage metrics with formulas, how to build and segment it, and a device-split example that points to the real leak.
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Ecommerce CRO: a 7-step guide to more orders and revenue
Ecommerce conversion rate optimization across product pages, cart, checkout and payment, judged by revenue per visitor. Seven steps, a fashion store example and FAQ.
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Ecommerce Conversion Rate: How to Calculate, Compare and Improve It
Ecommerce conversion rate is the share of sessions or visitors that end in a purchase. How to calculate it, why benchmarks disagree, a sample store split by device and funnel step, and which lever fits each step.
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Purchase Path: How Shoppers Get to Checkout and Where They Drop
The purchase path is the sequence of steps from first interest to a completed order. The stages, the events that make it measurable online, a sample per-session funnel, and how to fix the biggest leak.
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What Is a Good Conversion Rate? How to Judge Yours
A good conversion rate depends on what you count as a conversion, what you divide by, and who your visitors are. Rough ranges by conversion type, the two denominators that change the number, and how to judge your own rate by splitting it.
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Customer Data Analytics: Five Questions to Answer, With an RFM Example
Customer data analytics turns profile, behaviour and purchase data into decisions about who to win, keep and grow. Five questions to answer, the data each needs, and an RFM example for a store with 5,000 buyers.
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Micro Conversions: How to Pick the Ones That Actually Predict Sales
Micro conversions are small actions on the way to a purchase or lead. They help only if they predict the main conversion. How to pick candidates, test each one against your sales data, track the keepers as goals, and avoid reporting them as success.
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Ecommerce KPIs: One Revenue Equation and What Moved It
Ecommerce KPIs organised around one equation: revenue = sessions × conversion rate × average order value. Compare months factor by factor, add repeat purchase and refunds, and know where each number comes from.
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Customer Segmentation Analysis: Five Steps from Question to Action
Customer segmentation analysis in five steps: start from a decision, choose variables you can observe, compare segments on the same KPI, check size and stability, then act and measure again.
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Revenue Tracking with Events: Purchases, Refunds and the Metrics They Feed
How to track revenue in analytics with events: which purchase and refund events to send, from where, the properties that matter, deduplication and currency, and the revenue metrics you get from them.
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