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Identify new or returning visitor - Make it better with Google Analytics -

Definition New visitor is: A visitor who visits your site for the first time in the past two years Returning visitor is: A visitor who visits your site for the second time or more in the past two years How to identify new or returning visitor Action plan <Case 1> Site category: EC site that you want a user to repeatedly buy your product for several times Analytics results: Returning visitor’s number and conversion is fewer than new visitor You may need to: Increase customer satisfaction after the purchase such as delivery time and consistency between the product information on the site and actual product <Case 2> Site category: Service promotion site that you want many users to know and buy your service Analytics results: The number of new visitor is fewer than returning visitor, and bounce rate for new user is higher You may need to: Start web advertising such as search and display ads and keep consistency between ads and landing page

Get user gender - Make it better with Google Analytics -

How to get user gender Action plan <case 1> Site category: EC site selling clothes Analytics results: Conversion rate for female user is higher than male. You may need to: Add more female clothes pages. <case 2> Site category: Media Analytics results: There are more male users than female. Furthermore, the bounce rate for male is lower than female. You may need to: Add more articles for male.

Get user age - Make it better with Google Analytics -

How to get user age Action plan <case 1> Analytics results: The most users are age 55-64, but the bounce rate is the highest, and pages per session and average session duration are the lowest. You may need to: Increase the font size or let users change it because age 55-64 people might find it more difficult to read small text than younger people. <case 2> Analytics results: Conversion rate for age 25-34 is higher than age 18-24 even though there are more 18-24 users than 25-34. You may need to: Put more money on age 25-34 than 18-24 for your web advertising.

Get user device - Make it better with Google Analytics -

How to get user device Action plan <case 1> Analytics results: Conversion rate for mobile user is much* lower than desktop user. You may need to: Update navigation menu or CTA design for mobile. *Note: For mobile, in general, bounce rate is higher, and pages per session and average session duration is lower than desktop. <case 2> Analytics results: Bounce rate for mobile user is higher than desktop user. You may need to: Make it mobile friendly such as increasing font size, setting viewport, and changing to hamburger menu.

Get user language - Make it better with Google Analytics -

How to get user language Action plan <case 1> Site language: Simplified Chinese, Traditional Chinese, and Korean Analytics results: Higher conversion rate for Korean user than other languages You may need to: Update Korean pages in prior to other language pages <case 2> Site language: American English Analytics results: More en-gb (British English) and en-au (Australian English) users than en-us (American English) and en-ph (Philippine English) users You may need to: Change it to British English, especially terms rather than spelling (ex: pants -> trousers).

Get user location - Make it better with Google Analytics -

How to get user location using Google Analytics Action Plan <Case 1> Target location: Australia Analytics result: More users from New Zealand than Australia You may need to: Change your International targeting setting using Search Console <Case 2> Now you are: Advertising online Analytics result: Higher conversion rate for Singapore than other countries You may need to: Put more money on advertising in Singapore than other countries