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Digital analytics is the analysis and reporting of electronic data to understand how people find and use digital experiences. It can cover websites, apps, social media, online panels and other digital devices. Organizations use it to assess whether a service is meeting its goals and to make informed decisions about improvements.

What digital analytics means

Digital analytics is a process, not a dashboard or a particular software product. It turns observations of digital behavior into information people can use to evaluate an experience and decide what to do next. The term is broader than web analytics, though the two overlap in ordinary use.

ISO 19731:2017 addresses digital analytics and web analysis in market, opinion and social research. Its scope includes website usage, metered panels, tag-based measurement, hybrid measurement and social-media analysis. ISO says the standard was reviewed and confirmed in 2022 and remains current.

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What digital analytics is used for

Teams use analytics to answer questions tied to a service or organizational goal: Can people complete a task? How do visitors arrive? Where do they stop in a process? Are users taking an intended action? The answers can reveal patterns and opportunities, but a report alone usually cannot establish why a behavior occurred or prove that a particular change caused an outcome.

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Marketing teams sometimes organize analysis around acquisition, behavior and conversion: how people discover a service, how they interact with it, and whether they complete a desired action such as a purchase. This is one useful framework, not a definition that limits analytics to marketing.

For example, a public agency may examine how people find and access online services, while a website team may look at whether visitors finish an application. In the United States, the General Services Administration’s Digital Analytics Program is a shared service that helps federal agencies understand how the public finds, accesses and uses government services online. Digital.gov says it uses Google Analytics 360 to measure traffic and engagement across federal websites and apps. This is a government example, not a universal platform recommendation.

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How digital analytics works

Effective measurement begins with the decision an organization needs to make, not with a list of available metrics. Digital.gov’s guidance recommends defining goals before collecting data and connecting goals to objectives, calls to action and key performance indicators (KPIs).

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  1. Set the goal. Define what the site, app, campaign or service is intended to accomplish.
  2. Choose objectives and actions. Identify the user actions that contribute to that goal.
  3. Select useful measures. Choose KPIs that indicate whether those actions are succeeding; avoid metrics that do not help answer the underlying question.
  4. Choose a collection method. Match the data source and method to the population, question, coverage needs, privacy constraints and available resources.
  5. Implement and validate collection. Check that the data is collected consistently and is fit for the decision it will inform.
  6. Analyze in context and act. Interpret patterns alongside relevant context, make an improvement, and evaluate results over time without assuming that correlation proves causation.

Example: from interaction to report

Google Analytics illustrates one possible collection-to-reporting chain; other platforms may work differently. Its documentation says measurement code collects pseudonymous information about webpage interactions and may collect browser, device, operating-system, language and traffic-source information. The data is packaged and sent for processing, then aggregated and organized into reports. Configuration can filter out internal or developer traffic. Google warns that processed data is stored in a database where it cannot be changed, so exclusions should be considered carefully during setup.

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What digital analytics can measure

Digital analytics can examine more than page visits. ISO’s methods illustrate the range: website usage measurement can include cookies, page impressions, navigation, time and actions; other approaches use online metered panels, tags, combinations of panels and tags, or social-media analysis. Which method is appropriate depends on what the organization needs to learn and whom it needs to represent.

Google’s Measurement Protocol is one platform-specific way to send events directly to Google Analytics servers. Google documents uses such as connecting online and offline interactions, recording server-side events, capturing activity outside standard user interaction, or measuring devices without automatic collection. It is designed to supplement tagged web or app data, not replace it; using it alone may produce only partial reporting. See Google’s Measurement Protocol documentation.

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Privacy and the limits of measurement

Digital analytics concerns information about people and their behavior. Collection should have a defined purpose, be disclosed, and be governed according to the applicable obligations for the organization, location, audience and data involved. Do not assume that analytics data is inherently anonymous, privacy-safe or compliant; those qualities depend on the actual implementation.

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Google’s policy for Measurement Protocol, SDKs and User ID requires notice about the implementation and data collected, including whether it can be connected with other user data, and requires consent or an opportunity to opt out. The policy prohibits sending data that allows Google to personally identify an individual or permanently identify a device, and restricts stitching authenticated and unauthenticated sessions unless users consent and applicable law permits it. See the Google policy. A vendor policy does not replace an organization’s responsibility to understand the laws and requirements that apply to it.

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How to choose a measurement approach

There is no single best method or platform for every organization. Evaluate options against the question being asked and the conditions under which the resulting data will be used.

  • Fit to the question: Can the method answer the decision-relevant question, rather than merely produce available metrics?
  • Coverage: Does it represent the relevant population, channels and interactions?
  • Data quality: Can collection be validated, and are gaps or limitations understood?
  • Integration: Is cross-channel or online-to-offline analysis needed?
  • Privacy and governance: Can the organization disclose, control and appropriately limit collection?
  • Operational needs: What implementation effort, reporting capabilities and ongoing resources are required?

Digital analytics in U.S. federal agencies

The federal Digital Analytics Program is a specific U.S. government example rather than a general requirement for businesses or other organizations. Digital.gov quotes M-23-22 as stating: “Agencies are required to participate in GSA’s government-wide Digital Analytics Program (DAP). Participation in DAP does not preclude agencies from using other web analytics services.” The requirement described applies to U.S. federal executive branch agencies under that memorandum. See the Digital.gov DAP guide.

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