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Tag: Web Analytics

  • The Tagging Plan Is Not the SDR

    The Tagging Plan Is Not the SDR

    Read time:

    4–6 minutes

    Every analytics team maintains a meticulous SDR, and the reports still lie. The ledger records machinery, never purpose. A tagging plan starts with the user journey and justifies every data point before choosing a variable. Here is why that difference decides whether tracking is correct or commercially relevant.

  • The Oberon Debugger: From Workspace to API

    The Oberon Debugger: From Workspace to API

    Read time:

    7–11 minutes

    Adobe Analytics’ hidden Oberon debugger reveals the exact Reporting API 2.0 requests behind every Workspace visualisation. Instead of reverse-engineering JSON payloads, you can capture a working report and turn it into live dashboards, real-time alerts, and programmatic integrations that scheduled exports and bulk data feeds simply cannot deliver.

  • The Silent Battle for eVar7 in Adobe Analytics

    The Silent Battle for eVar7 in Adobe Analytics

    Read time:

    7–10 minutes

    A missing tagging dictionary is the real reason Adobe Analytics reports break across regions. The Core + Local allocation model reserves eVars, props, and events for global standards and local flexibility, so enterprise implementations survive the next acquisition, rebrand, or regional expansion.

  • AI Citation Visibility Is Finally Here

    AI Citation Visibility Is Finally Here

    Read time:

    10–15 minutes

    Search visibility is no longer enough. New AI Performance reports in Bing Webmaster Tools show when and how your content is cited in AI-generated answers, across topics, intents, and citation share. It is the practical step publishers have needed to start optimising for the age of generative answers.

  • Time Measurement and Reporting in Adobe Analytics

    Time Measurement and Reporting in Adobe Analytics

    Read time:

    10–15 minutes

    Master Adobe Analytics time spent: backward calculation secrets, why last hits get 0s, and how to accurately measure process completion time with plug-in.

  • Converting event_list And post_event_list In Adobe Analytics Data Feed

    Converting event_list And post_event_list In Adobe Analytics Data Feed

    Read time:

    5–8 minutes

    The event_list and post_event_list columns are heavily encoded and impossible to use directly. Showing how to convert the encoded event_list and post_event_list columns in Adobe Analytics Data Feed into meaningful event names and split them into individual columns using Apache Spark to make the data more interpretable and easier to analyze.

  • Optimise Custom Dimension Usage In Adobe Analytics

    Optimise Custom Dimension Usage In Adobe Analytics

    Read time:

    2–3 minutes

    Here is the second half of my sharing in the Adobe Experience Maker The Skill Exchange event about optimising custom dimension usage. For multinational companies, it is common to have similar websites across multiple countries with similar features and slightly different data collection, such as lead generation forms from different countries collecting similar but different user information.…

  • Visitor ID, The Must-Have Custom Dimension

    Visitor ID, The Must-Have Custom Dimension

    Read time:

    2–4 minutes

    Understanding your visitors’ behavior is essential for optimizing your website and tailoring your marketing strategies effectively. With this must-have custom dimension, you’ll have the power to analyze visitor patterns, track user engagement, and make data-driven decisions to enhance your online presence