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Google Analytics users can now ask natural-language questions about their data

With natural language, users can quickly get data without having to dig for it from both desktop and Google Analytics' mobile apps.  —  A little over a year ago, Google teased using natural language to get data from Google Analytics just by asking.

Marketing Land Ginny Marvin

Context & Ripple Effects

This feature closes a loop Google opened a year earlier: after shipping Google Now-style automated insights in the Analytics app in September 2016, it is now letting users ask their own questions of Analytics data on desktop and mobile, rather than only receiving pushed cards. The description notes Google teased exactly this capability just over a year ago, so today is delivery on that promise.

It also fits a broader Google push in the same period — two months later the company expanded its Natural Language API with content classification and sentiment analysis, signaling that language interfaces were becoming infrastructure across Google's product line rather than a one-off Analytics experiment.

First-order effects

  • Marketers and analysts using Google Analytics can now retrieve specific figures by typing questions instead of navigating reports, on both desktop and the mobile apps — lowering the skill floor for day-to-day data access.
  • Google turns a year-old teaser into shipped product, moving Analytics from passive insight cards toward interactive querying for its existing user base.

Second-order effects

  • Dashboard and reporting vendors serving Google Analytics users face pressure to match ask-your-data interaction or risk looking cumbersome next to a free, built-in alternative.
  • By making its free analytics tool easier to interrogate, Google strengthens Analytics' pull against paid web-analytics suites whose value partly rests on report-building expertise.

Third-order effects

The trend: Google is steadily converting its productivity and analytics tools from menu-and-report navigation into conversational interfaces, with each product rollout normalizing ask-the-data as the expected interaction model.