Traffic Sources:

 

1. Direct:

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• Description: This traffic comes from users who typed your website’s URL directly into their browser or used a bookmark, meaning no referral source could be identified.

• Example: A user enters “example.com” in their browser and lands directly on your homepage.

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2. Organic Search:

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• Description: This traffic originates from unpaid search engine results (e.g., Google, Bing) when users search for specific terms and click on your website.

• Example: A user searches for “best marketing agency” on Google, and they click on your website’s organic listing.

 

3. Referral:

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• Description: Traffic that comes from users clicking a link on another website (not from a search engine) to land on your site.

• Example: A user clicks on a blog post link that leads them to your website from another blog.

 

4. Paid Social:

• Description: Traffic generated from paid advertisements on social media platforms like Facebook, Instagram, LinkedIn, or Twitter.

• Example: A user clicks on your Facebook ad promoting a new product and visits your site.

 

5. Cross-network:

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• Description: Traffic that comes from advertisements shown across multiple Google networks, such as Google Search, Display Network, and YouTube.

• Example: A user clicks on an ad they saw while watching a YouTube video, leading them to your website.

 

6. Paid Search:

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• Description: Traffic that results from clicking on a paid advertisement from a search engine results page (e.g., Google Ads).

• Example: A user searches for “buy shoes online,” sees your paid ad at the top of the search results, and clicks through to your site.

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7. Organic Social:

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• Description: Traffic generated from unpaid social media posts or profile clicks on platforms like Facebook, Twitter, LinkedIn, or Instagram.

• Example: A user clicks a link to your website from a post on your company’s Facebook page.

 

Metrics:

 

1. AOV (Average Order Value):

• Description: The average amount of money spent per order on your website.

• Formula: Total Revenue ÷ Number of Orders.

• Example: If a website makes $1,000 from 50 orders, the AOV is $20.

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2. RPU (Revenue Per User):

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• Description: The average amount of revenue generated per unique user visiting your website.

• Formula: Total Revenue ÷ Number of Unique Users.

• Example: If a site earns $10,000 from 500 users, the RPU is $20.

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3. ARPPU (Average Revenue Per Paying User):

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• Description: The average revenue generated from each paying customer, excluding users who didn’t make a purchase.

• Formula: Total Revenue ÷ Number of Paying Users.

• Example: If 200 users made purchases totaling $6,000, the ARPPU is $30.

 

Behavioral Metrics:

 

1. Session:

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• Description: A session is a group of user interactions with your website within a given time frame (typically 30 minutes). A session can include multiple page views, interactions, and events.

• Example: A user visits your homepage, browses your services page, and leaves after reading a blog post — all counted as one session.

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2. Bounce Rate:

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• Description: The percentage of single-page visits where the user leaves the site without interacting with anything else.

• Formula: Single-page sessions ÷ Total sessions.

• Example: If 100 users visit your site and 40 leave without interacting beyond the first page, your bounce rate is 40%.

 

3. New User:

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• Description: A user who visits your website for the first time (or at least has no prior cookies identifying them as a returning user).

• Example: Someone who has never visited your site before clicks on your website from a Google search and is marked as a new user.

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4. Engaged Sessions:

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• Description: A session in which the user actively engages with your website for more than 10 seconds, views multiple pages, or completes a conversion event.

• Example: A user spends 15 seconds reading a blog post and then clicks to another page to learn more about your services.

 

5. Active User:

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• Description: A user who has interacted with your website or app in a specific time frame (e.g., daily active user (DAU), weekly active user (WAU), or monthly active user (MAU)).

• Example: If a user logs into your website or app multiple times within a week, they are counted as a weekly active user (WAU).