Glossary

Analytics

Plain-language definitions of analytics terms that come up in reporting and strategy conversations — dimensions, metrics, attribution, funnels, and more. For marketers and stakeholders who need to make sense of the numbers.

Plain-language definitions of analytics terms that come up in reporting and strategy conversations — dimensions, metrics, attribution, funnels, and more. For marketers and stakeholders who need to make sense of the numbers.

B

  • Bounce rate measures visitors who leave a webpage without interaction. A high rate can indicate irrelevant content, but is normal for some page types.

C

  • Clicks track user interactions with ads, links, or listings. This metric is fundamental for campaign performance and calculating related metrics like CTR and CPC.

  • Click-through rate measures the percentage of users who click on a link after seeing it. It's calculated by dividing clicks by impressions and multiplying by 100.

  • Click share measures the percentage of available ad clicks your ads received. A low share might indicate ads aren't appearing often enough or are less appealing.

  • Channel in Google Analytics groups traffic sources to understand user arrivals. Default channels include Organic Search, Direct, Social, Referral, Email, and Paid Search, categorizing visits for analysis.

E

  • Exit page is the last page a user views before leaving a website session. It shows where visitors drop off and helps identify potential issues with content or user experience.

  • Event tracking measures specific user interactions beyond standard metrics. It helps businesses understand user engagement by tracking actions like clicks and submissions for optimization.

  • Events track specific user interactions on a website, like button clicks or form submissions. They provide data for understanding engagement and optimizing digital experiences.

  • Engagement metrics measure user interactions with digital content such as websites or social media. They help marketers understand audience interest and optimize campaigns for better results.

  • Engagement rate measures audience interaction with content as a percentage. It's calculated by dividing engagements (likes, comments) by reach or impressions, indicating content relevance and campaign performance.

F

  • Frequency is a display advertising metric measuring the average number of times a user sees a specific ad. It helps balance brand messaging without causing ad fatigue, improving recall without excessive repetition.

G

  • Google Tag Manager simplifies tag management on websites, allowing marketers to deploy tracking codes without editing source code. It centralizes tags like Analytics and Pixel for easy control.

  • Google Business Profile is a free tool for businesses to manage their online presence on Google, including Search and Maps. It allows businesses to list information, engage with customers, and track their local search performance.

  • Google Analytics 4 (GA4) is the latest version of Google’s analytics platform. It uses event-driven tracking for deeper insights and better privacy compliance across websites and apps.

H

  • Hits are website interactions sending data to tracking platforms like Google Analytics. Each hit signifies a user action such as page views or events, helping understand activity.

I

  • Impressions count the number of times an ad or content is displayed to a user. They measure reach and visibility in digital advertising, regardless of clicks.

  • Impression share measures your ad's visibility by comparing its impressions to the total eligible. A low share may indicate targeting or budget issues, suggesting areas for improvement.

M

  • Medium in Google Analytics categorizes traffic sources to a website, grouping visits into buckets like organic, direct, and referral. This helps understand how visitors arrive.

O

  • Open rate measures the percentage of email recipients who opened a specific email. It helps gauge the effectiveness of subject lines and targeting, though accuracy can be limited.

P

R

  • Referral in Google Analytics tracks website traffic from other sites via clickable links. This helps understand external sources driving visitors and their engagement.

S

  • Software as a Service (SaaS) is a cloud-based delivery model where applications are hosted by a provider and accessed over the internet. Users subscribe to access it through a web browser instead of installing software on devices.

  • Site Catalyst Attribute Import Naming Tool (SAINT) enriches reporting data with custom metadata. It classifies tracking variables with meaningful labels for performance analysis across various dimensions.

  • Site Catalyst, now Adobe Analytics, is a tool for collecting and analyzing data from digital marketing channels. It provides detailed insights into user behavior, traffic, and campaign performance.

  • Sessions track user interactions on a website within a timeframe, starting on arrival and ending after 30 minutes of inactivity. A single user can generate multiple sessions, encompassing various actions like page views and transactions.

  • Session duration measures the time a user spends on a website during a single visit. It helps evaluate user engagement and content effectiveness, with longer durations often indicating valuable content.

T

  • Tracking code monitors website user interactions and behaviors, collecting data for analytics platforms. It helps evaluate performance and measure campaign success by sending information to tools like Google Analytics.

U

  • UTM parameters are short codes added to URLs to track campaign performance and traffic sources. They help analyze how visitors arrive and engage with content.

  • utm_id is a unique campaign identifier linking to predefined metadata in analytics platforms. It helps track specific marketing efforts beyond standard UTM parameters.

  • Users are individual website visitors tracked by analytics tools like Google Analytics. This metric measures audience size and behavior through interactions like page views and clicks.

  • Unique visitors count individual website users in a timeframe, regardless of return visits, using identifiers like cookies. This metric helps understand audience size and evaluate marketing reach.