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    <title>Ecommerce Insight Desk</title>
    <link>https://ecommerceinsightdesk.com/</link>
    <description>A desk for Australian ecommerce teams covering measurement planning, analytics, attribution, dashboards, data quality and experimentation.</description>
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      <title>Analysing conversion by product variant</title>
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      <description>Define a variant conversion denominator using identified, available options and matched orders, with clear treatment of later purchases.</description>
      <category>Funnel Analysis</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Analysing products commonly bought together</title>
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      <description>Count product pairs in qualifying orders, compare directional rates and shortlist useful combinations for a measured trial.</description>
      <category>Funnel Analysis</category>
      <dc:creator>Desk Customer Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Avoiding double-counted revenue across channels</title>
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      <description>When several platforms claim credit for one order, adding their reported revenue can exceed the store&apos;s actual sales.</description>
      <category>Revenue Analytics</category>
      <dc:creator>Desk Trading Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Basket and merchandising analytics</title>
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      <description>Use product pairings, recommendation results, category routes and onsite search evidence to guide merchandising decisions.</description>
      <category>Measurement Planning</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Checking for sample imbalance in an ecommerce experiment</title>
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      <description>Compare observed experiment units with the planned split, trace where imbalance begins and decide whether the store-test result can be used.</description>
      <category>Data Quality</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Checking product IDs across tracking events</title>
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      <description>Audit item IDs from product view through purchase. Find parent and variant switches, missing IDs and catalogue mapping changes.</description>
      <category>Data Quality</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Checking ecommerce tracking after a theme or app update</title>
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      <description>Replay affected shopping journeys, inspect event details and monitor tracking after a theme or app update.</description>
      <category>Event Tracking</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Choosing a guardrail metric for a store test</title>
      <link>https://ecommerceinsightdesk.com/choosing-a-guardrail-metric-for-a-store-test</link>
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      <description>Choose store-test guardrails from plausible harms, with the right denominator, timing, data source and response rule.</description>
      <category>Measurement Planning</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Choosing store metrics from business decisions</title>
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      <description>Choose ecommerce metrics by linking each business decision to a counting unit, comparison, owner and action.</description>
      <category>Measurement Planning</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Comparing category navigation paths</title>
      <link>https://ecommerceinsightdesk.com/comparing-category-navigation-paths</link>
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      <description>Compare category routes from a defined entry task to relevant products, with clear counting rules and path-analysis limits.</description>
      <category>Funnel Analysis</category>
      <dc:creator>Desk Customer Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Comparing customer value by product entry point</title>
      <link>https://ecommerceinsightdesk.com/comparing-customer-value-by-product-entry-point</link>
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      <description>Assign customers from their first-order products and compare observed value at the same age without hiding multi-item orders.</description>
      <category>Funnel Analysis</category>
      <dc:creator>Desk Customer Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Comparing first-touch and last-touch store reports</title>
      <link>https://ecommerceinsightdesk.com/comparing-first-touch-and-last-touch-store-reports</link>
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      <description>First-touch and last-touch reports answer different questions.</description>
      <category>Attribution</category>
      <dc:creator>Desk Customer Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Comparing forecast demand with actual order patterns</title>
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      <description>Compare issued variant forecasts with qualifying orders, flag stock-constrained periods and read forecast errors within their limits.</description>
      <category>Measurement Planning</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Comparing funnels by device and traffic source</title>
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      <description>Compare funnel progression across devices and traffic sources while keeping segment definitions, source scope and cross-device limits clear.</description>
      <category>Funnel Analysis</category>
      <dc:creator>Desk Customer Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Comparing product views with actual purchases</title>
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      <description>Compare product-view and purchase counts, identify when a viewer-to-buyer rate is possible, and investigate gaps without mislabelling the measure.</description>
      <category>Measurement Planning</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Comparing promotion buyers with ordinary customers</title>
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      <description>Define buyer groups, use equal follow-up windows and interpret repeat purchasing without mistaking selection for a promotion effect.</description>
      <category>Attribution</category>
      <dc:creator>Desk Customer Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Comparing repeat purchase across acquisition cohorts</title>
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      <description>Compare distinct repeat buyers across acquisition cohorts using a fixed follow-up window and clearly defined source labels.</description>
      <category>Funnel Analysis</category>
      <dc:creator>Desk Customer Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Connecting sales analysis with stock availability</title>
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      <description>Join variant order lines to dated orderability intervals and keep uncertain stock periods visible before comparing sales rates.</description>
      <category>Data Quality</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Customer cohort analysis for acquisition-labelled ecommerce value</title>
      <link>https://ecommerceinsightdesk.com/customer-cohort-analysis-for-ecommerce</link>
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      <description>Compare observed ecommerce value for acquisition-labelled cohorts at equal age, then decide which gap needs investigation.</description>
      <category>Funnel Analysis</category>
      <dc:creator>Desk Customer Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Defining a conversion experiment before changing the store</title>
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      <description>Write a store-test brief that fixes eligibility, assignment, the conversion formula, decision threshold and end rule before launch.</description>
      <category>Measurement Planning</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Defining purchase, refund and repeat-customer events</title>
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      <description>Define qualifying purchases, processed refunds and repeat customers with clear order, timing and identity rules.</description>
      <category>Event Tracking</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Detecting missing currencies and order values</title>
      <link>https://ecommerceinsightdesk.com/detecting-missing-currencies-and-order-values</link>
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      <description>Check purchase events for usable currency and value fields, distinguish genuine zeroes from missing data, and trace exceptions to orders.</description>
      <category>Data Quality</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Distinguishing weak demand from an out-of-stock problem</title>
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      <description>Check variant orderability, visibility and observed interest before deciding that low ecommerce sales reflect weak demand.</description>
      <category>Funnel Analysis</category>
      <dc:creator>Desk Customer Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Ecommerce acquisition attribution</title>
      <link>https://ecommerceinsightdesk.com/ecommerce-acquisition-attribution</link>
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      <description>Attribution assigns credit for an order to marketing interactions under a chosen rule.</description>
      <category>Attribution</category>
      <dc:creator>Desk Customer Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Ecommerce analytics operations</title>
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      <description>Set owners, review periods and change records that keep ecommerce reports useful as data and systems change.</description>
      <category>Measurement Planning</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Ecommerce conversion funnels</title>
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      <description>Define shopping funnel stages and counting rules, then use stage gaps to guide investigation without mistaking them for checkout failures.</description>
      <category>Funnel Analysis</category>
      <dc:creator>Desk Customer Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Ecommerce customer value analysis</title>
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      <description>Structure a customer value report around recorded orders, comparable observation windows, clear amount rules and visible limitations.</description>
      <category>Attribution</category>
      <dc:creator>Desk Customer Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Ecommerce dashboard design</title>
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      <description>An ecommerce dashboard should help a team decide what to do today and explain what happened after the numbers settle. Start with decisions, definitions and data …</description>
      <category>Measurement Planning</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Ecommerce data quality</title>
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      <description>Check the definitions, completeness, consistency and freshness of ecommerce data before using store reports to make decisions.</description>
      <category>Data Quality</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Ecommerce event tracking</title>
      <link>https://ecommerceinsightdesk.com/ecommerce-event-tracking</link>
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      <description>Define ecommerce event triggers, item and order IDs, purchase rules and checks before relying on store reporting.</description>
      <category>Event Tracking</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Ecommerce experimentation</title>
      <link>https://ecommerceinsightdesk.com/ecommerce-experimentation</link>
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      <description>Plan an ecommerce experiment around a clear decision, eligible shoppers, one primary outcome, guardrails and a trustworthy result.</description>
      <category>Measurement Planning</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Ecommerce measurement planning</title>
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      <description>Plan ecommerce measurement around business decisions, clear metric definitions, source records and a review cycle.</description>
      <category>Measurement Planning</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Ecommerce revenue and margin analytics</title>
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      <description>Read store revenue and margin together by defining eligible orders, discounts, reversals, cost coverage and reporting dates.</description>
      <category>Revenue Analytics</category>
      <dc:creator>Desk Trading Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Estimating cannibalisation between discounted products</title>
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      <description>Estimate whether a discounted product displaced nearby items by comparing product and group outcomes against a stated baseline.</description>
      <category>Funnel Analysis</category>
      <dc:creator>Desk Trading Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Estimating customer value from observed purchase history</title>
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      <description>Reconstruct observed customer value from qualifying orders, a fixed time window, later adjustments and the original entrant count.</description>
      <category>Measurement Planning</category>
      <dc:creator>Desk Customer Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Filtering internal and test orders from reports</title>
      <link>https://ecommerceinsightdesk.com/filtering-internal-and-test-orders-from-reports</link>
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      <description>Classify simulated and real test orders, apply report exclusions consistently, and understand the limits of internal-traffic filters.</description>
      <category>Data Quality</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Finding products with high revenue but weak margin</title>
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      <description>Screen high-selling products for weak margin using comparable retained sales, dollar profit, cost coverage and adjustment dates.</description>
      <category>Revenue Analytics</category>
      <dc:creator>Desk Trading Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Gross revenue versus net sales in store reports</title>
      <link>https://ecommerceinsightdesk.com/gross-revenue-versus-net-sales-in-store-reports</link>
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      <description>Understand how gross product sales become net sales, with checks for discounts, reversals, tax, delivery, order status and dates.</description>
      <category>Revenue Analytics</category>
      <dc:creator>Desk Trading Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Grouping customers by first completed purchase</title>
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      <description>Define a completed purchase, resolve customer identities and assign first-purchase cohorts without confusing first-order date with payment confirmation.</description>
      <category>Measurement Planning</category>
      <dc:creator>Desk Customer Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Handling incomplete histories in a customer-value report</title>
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      <description>Separate short follow-up, missing earlier orders, uncertain identity and unsettled adjustments in customer-value reports.</description>
      <category>Data Quality</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Identifying search terms that return no useful products</title>
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      <description>Find onsite searches with empty or weak results, inspect the products shown and choose a measured fix.</description>
      <category>Data Quality</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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      <title>Interpreting unattributed and direct traffic</title>
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      <description>“Direct” and “unknown” are reporting labels, not customer motivations.</description>
      <category>Attribution</category>
      <dc:creator>Desk Customer Analytics</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Linking returns to product-level performance</title>
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      <description>Link recorded physical returns, reasons and product-value reversals to original order lines using comparable follow-up windows.</description>
      <category>Data Quality</category>
      <dc:creator>Desk Measurement</dc:creator>
      <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Maintaining a dictionary of store metrics</title>
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