Every analytics term,
explained simply

A/B testing is a controlled experiment that compares two versions of a web page, email, ad, or feature by randomly splitting traffic between them and measuring which version performs better on a defined success metric.

Activation rate is the percentage of new users who complete a predefined set of key actions that indicate they have experienced the core value of a product, marking their transition from signup to engaged user.

Add to cart rate is the percentage of website visitors or product page viewers who add at least one item to their shopping cart. It measures how effectively your product pages convert browsing interest into purchase consideration.

The use of machine learning algorithms to automatically discover meaningful user groups based on behavioral patterns, without requiring manual segment definition.

The average annualized revenue per customer contract. Used to understand the typical deal size and compare sales productivity across segments.

The annualized value of recurring subscription revenue, calculated as MRR multiplied by 12. The standard metric for measuring SaaS business scale.

Automated identification of data points, patterns, or events that deviate significantly from expected behavior, used to catch problems or opportunities early.

The irreversible process of transforming personal data so that it can no longer be used to identify an individual, even when combined with other data sources.

A website or product visitor whose identity is unknown, typically tracked via a cookie or device identifier until they provide identifying information like an email address.

API tracking is the method of sending analytics events directly to an analytics platform's REST API from your server, backend system, or any HTTP-capable environment rather than through a client-side JavaScript snippet or SDK.

A conversion where a particular channel or touchpoint appeared in the customer journey but was not the final interaction before conversion, indicating it played a supporting role in the purchase decision.

A set of rules or algorithms that determine how credit for conversions and revenue is assigned to the marketing touchpoints in a customer's journey, shaping how channel ROI is measured and budget is allocated.

An analytics report that shows how marketing channels, campaigns, and touchpoints contribute to conversions and revenue under various attribution models, helping teams evaluate marketing performance and allocate budget.

The maximum time frame during which a marketing touchpoint can receive credit for a subsequent conversion, determining how far back in time a conversion can be attributed to a specific interaction.

AI-generated observations and recommendations derived from your analytics data, surfaced proactively without requiring manual analysis or report building.

Average items per order measures the mean number of individual products included in each completed transaction. It indicates how successfully your store encourages customers to buy multiple items in a single purchase.

Average Order Value (AOV) is the average dollar amount spent each time a customer places an order. It is calculated by dividing total revenue by the number of orders in a given period.

Average Revenue Per User (ARPU) is the mean revenue generated per active user over a specific time period. It measures the monetary value each user contributes to your business.

A data processing approach that collects events over a defined time period and processes them together as a group, typically on hourly or daily schedules, optimized for throughput and complex computations.

An experimentation approach that uses Bayes' theorem to calculate the probability that one variant is better than another, incorporating prior knowledge and updating beliefs as data accumulates.

A behavioral cohort is a group of users defined by a specific action or set of actions they took within a product, used to analyze how that behavior correlates with retention, conversion, or other outcomes.

An automated action that fires when a user performs a specific behavior or meets defined criteria, such as sending an email when a user abandons their cart or showing an upgrade prompt after a feature limit is reached.

Bounce rate is the percentage of sessions in which a user lands on a page and leaves the site without triggering any additional page loads or tracked events.

The break-even point is the sales volume or revenue level at which total revenue equals total costs, resulting in zero profit or loss. It marks the threshold where a business transitions from losing money to making money.

Burn rate is the rate at which a company spends its cash reserves, typically measured monthly. Net burn rate accounts for revenue, showing how much cash the company loses per month after income.

Campaign attribution is the process of assigning credit for a conversion or sale to the specific marketing campaigns, channels, and touchpoints that influenced the customer's decision, enabling marketers to understand which efforts drive results.

Cart abandonment rate is the percentage of online shoppers who add items to their shopping cart but leave the site without completing the purchase. It is one of the most critical ecommerce conversion metrics.

The California Consumer Privacy Act - a state privacy law giving California residents rights over their personal data including the right to know, delete, and opt out of sale of their information.

The process of assigning conversion credit to specific marketing channels (paid search, email, social media, organic search, etc.) to evaluate each channel's contribution to revenue and guide budget allocation decisions.

Checkout conversion rate is the percentage of users who begin the checkout process and successfully complete a purchase. It measures the effectiveness of your checkout flow at converting intent into transactions.

A predictive model that identifies customers at risk of cancelling their subscription based on behavioral signals, usage patterns, and historical churn data.

The percentage of customers or revenue lost over a given period. Customer churn measures account losses; revenue churn measures dollar losses.

A click map is a type of heatmap that specifically visualizes where users click or tap on a web page, showing the distribution and frequency of click interactions across all page elements.

An attribution method that gives credit to a marketing touchpoint only when the user actually clicked on it before converting, as opposed to merely viewing it.

Click-through rate (CTR) is the percentage of people who click on a link, ad, email, or call-to-action out of the total number who viewed it, measuring how effectively a piece of content drives user action.

Client-side tracking is the method of collecting analytics data in the user's web browser using JavaScript snippets or SDKs that execute on the client device, capturing interactions and sending them to analytics servers.

Cohort analysis groups users by a shared characteristic or experience within a defined time period - typically their signup or first purchase date - and tracks their behavior over subsequent time intervals to reveal trends in retention, engagement, or revenue.

A range of values that likely contains the true effect of a change, calculated from experiment data. A 95% confidence interval means that if the experiment were repeated many times, 95% of the calculated intervals would contain the true value.

The percentage probability that a confidence interval calculated from a given experiment will contain the true population parameter, commonly set at 90%, 95%, or 99% in A/B testing.

The process of collecting, storing, and honoring user preferences about how their personal data is collected and used, typically through cookie banners and preference centers.

The percentage of existing recurring revenue lost to customer downgrades in a given period. Measures the revenue impact of customers reducing their usage or plan level.

Contraction revenue (or contraction MRR) is the reduction in recurring revenue from existing customers who downgrade their plans, reduce seats, or decrease usage. It represents partial revenue loss that stops short of full cancellation.

Contribution margin is the revenue remaining after subtracting all variable costs associated with producing and delivering a product or service. It represents the portion of each sale that contributes toward covering fixed costs and generating profit.

A control group is the subset of users in an experiment who receive the existing or unchanged experience, serving as the baseline against which the performance of test variants is measured.

Conversion rate is the percentage of users who complete a desired action out of the total number of users who had the opportunity to do so, serving as the primary measure of how effectively a page, campaign, or experience turns visitors into customers.

A cookie is a small text file stored by a web browser on a user's device that allows websites to remember information between page loads and across visits, widely used in analytics to identify returning visitors.

The explicit permission obtained from website visitors before setting non-essential cookies on their devices, as required by privacy regulations like GDPR and ePrivacy.

Cost per acquisition (CPA) is the average amount of money spent to acquire one new customer or conversion, calculated by dividing total campaign spend by the number of acquisitions generated.

Cost per click (CPC) is the amount an advertiser pays each time a user clicks on their ad, determined by the bidding model and competition in the ad auction.

Cost per mille (CPM) is the cost an advertiser pays for one thousand impressions of their ad, commonly used as the pricing model for display, video, and social media advertising where brand awareness is the primary objective.

Cross-device tracking is the ability to follow and connect a single user's activity across multiple devices - such as smartphone, tablet, and desktop - into one unified behavioral profile.

Cross-sell rate is the percentage of customers who purchase a complementary product or product from a different category in addition to their primary purchase. It measures the effectiveness of your strategies for expanding what customers buy.

Customer Acquisition Cost (CAC) is the total cost of acquiring a new customer, including all marketing and sales expenses. It measures the investment required to convert a prospect into a paying customer.

A software system that collects, unifies, and activates customer data from multiple sources into persistent, unified customer profiles accessible to other systems for marketing, analytics, and personalization.

A metric that measures how easy it was for a customer to accomplish a specific task or resolve an issue, typically on a 1-7 scale from "Very Difficult" to "Very Easy."

A composite metric combining multiple signals like product usage, support tickets, NPS responses, and payment history to predict customer retention or churn risk.

The practice of creating a visual representation of every interaction a customer has with your brand, identifying pain points, emotions, and opportunities at each stage.

Customer Lifetime Value (CLV or LTV) is the total revenue a business can expect from a single customer over the entire duration of their relationship. It is the most important metric for understanding long-term customer profitability.

Customer retention rate is the percentage of existing customers who remain active and continue purchasing over a specific time period. It measures a business's ability to keep customers coming back.

The number of unique users who engage with your product on a given day. A core engagement metric for consumer and product-led SaaS applications.

The process of enhancing existing data by adding supplementary information from external sources, such as appending company firmographics, demographic data, or technographic details to user profiles.

The framework of policies, processes, and standards that ensure data across an organization is accurate, consistent, secure, and used in compliance with regulations and business rules.

A data architecture that combines the low-cost storage and flexibility of a data lake with the structured querying and performance of a data warehouse, supporting both raw and curated data in one system.

A data layer is a structured JavaScript object that sits between your website and your analytics tags, serving as a centralized repository of page and user data that any tracking tool can read from.

The privacy principle of collecting only the personal data that is strictly necessary for a specific, stated purpose - no more, no less.

A legally binding contract between a data controller and data processor that outlines how personal data will be processed, protected, and handled in compliance with privacy regulations.

The measure of how accurate, complete, consistent, timely, and valid data is for its intended use, determining whether analytics outputs and business decisions built on that data can be trusted.

A formal policy defining how long different types of data are stored before being deleted or anonymized, balancing analytics needs with privacy requirements.

A hierarchical classification system that organizes analytics data into logical categories, defining how events, properties, and metrics relate to each other and to business concepts.

A centralized repository that stores large volumes of structured and semi-structured data from multiple sources, optimized for analytical queries and reporting rather than transactional processing.

An attribution model that uses machine learning algorithms to analyze actual conversion paths and assign credit to touchpoints based on their measured impact on conversion probability, rather than using predetermined rules.

The ratio of daily active users to monthly active users, expressed as a percentage. Measures how frequently your monthly users return on a daily basis - also called stickiness.

A dead click occurs when a user clicks on a page element that produces no response or navigation, indicating either a broken element, a non-interactive element with misleading visual affordances, or a loading failure.

An attribution approach that assigns decreasing credit to touchpoints based on their distance in time from the conversion event, giving more weight to recent interactions and less to earlier ones.

Revenue that has been collected from customers but not yet earned because the service or product has not yet been delivered. Recorded as a liability on the balance sheet.

Direct traffic refers to website visits where no referrer or campaign source is detected, typically attributed to users who typed the URL directly, used a bookmark, or arrived through a channel that does not pass referrer information.

The percentage of recurring revenue lost from cancellations and downgrades in a given period. Measures the financial impact of customer losses.

A specific step in a user flow or funnel where a significant percentage of users abandon the process without completing the desired action, representing a critical area for optimization.

A quantitative measure of the magnitude of a difference between groups in an experiment, independent of sample size. It answers the question "how big is the improvement?" rather than "is there an improvement?"

Email click rate is the percentage of delivered emails in which at least one link was clicked by the recipient, serving as a more reliable measure of email engagement than open rate since it requires deliberate user action.

Email open rate is the percentage of delivered emails that were opened by recipients, traditionally measured by the loading of a tracking pixel embedded in the email.

An engagement score is a composite metric that combines multiple user activity signals - such as login frequency, feature usage, and content consumption - into a single numerical score that indicates how actively and deeply a user engages with a product.

A data integration process that Extracts data from source systems, Transforms it into a consistent format, and Loads it into a destination system like a data warehouse for analysis.

A piece of metadata attached to a tracked event that provides additional context, such as the product name on a "purchase" event, the plan type on a "subscription started" event, or the search query on a "search performed" event.

A structured definition of all tracked events in an analytics system, specifying each event's name, required and optional properties, data types, and allowed values.

Event tracking is the process of recording specific user interactions - such as clicks, form submissions, and purchases - as discrete data points in an analytics platform.

Exit rate is the percentage of pageviews on a specific page that were the last in a user's session, measuring how often a particular page is the final one viewed before leaving.

Expansion revenue is additional recurring revenue generated from existing customers through upsells, cross-sells, seat additions, or increased usage. It is the primary driver of net revenue retention above 100%.

Feature adoption measures the percentage of users who discover and begin using a specific product feature, tracking both the breadth of usage across the user base and the depth of ongoing engagement with that feature.

A controlled test that measures the impact of a new product feature by exposing it to a random subset of users and comparing their behavior and outcomes against users who do not have access.

A feature flag is a software mechanism that allows teams to enable, disable, or modify features in a live application without deploying new code, used for gradual rollouts, A/B testing, and instant rollback of problematic changes.

First-party data is information collected directly by a company from its own customers and website visitors through owned channels, including behavioral data, purchase history, and voluntarily provided personal information.

An attribution model that gives 100% of the credit for a conversion to the first marketing touchpoint that introduced the customer to the brand, regardless of subsequent interactions.

The percentage of users on a free plan who upgrade to a paid subscription. The core monetization metric for freemium business models.

The traditional statistical approach to A/B testing that evaluates results by calculating how likely the observed data would be if there were no real difference between variants, using p-values and confidence intervals.

Funnel analysis is a method of visualizing and measuring how users progress through a defined sequence of steps toward a goal, identifying where they drop off and quantifying conversion rates between each stage.

The General Data Protection Regulation - a comprehensive EU privacy law that governs how organizations collect, process, and store personal data of EU residents.

Gross margin is the percentage of revenue remaining after subtracting the cost of goods sold (COGS). It represents the portion of each dollar of revenue available to cover operating expenses and generate profit.

Gross Merchandise Value (GMV) is the total value of all merchandise sold through a platform or marketplace over a specific period, before deducting fees, returns, and discounts. It represents the total scale of transactions facilitated.

Gross Revenue Retention (GRR) measures the percentage of recurring revenue retained from existing customers, excluding any expansion revenue. It isolates the impact of downgrades and churn on your revenue base.

A heatmap is a data visualization that uses color gradients to show the relative intensity of user interactions on a web page, with warmer colors (red, orange) indicating areas of high activity and cooler colors (blue, green) indicating low activity.

The analysis of past data over extended time periods to identify trends, measure long-term performance, compare cohorts, and inform strategic decisions based on accumulated evidence.

A randomly selected subset of users permanently excluded from a specific change, feature, or experiment, used to measure the long-term incremental impact of that change by comparing their outcomes to exposed users.

A statistical method used to determine whether observed differences in data - such as a higher conversion rate in a test variant - are likely real or could have occurred by random chance.

A user whose identity is known through a unique identifier such as an email address, user ID, or account number, allowing their behavior to be tracked across sessions and devices.

A database that maps and connects all known identifiers for a single person - such as email addresses, device IDs, cookie IDs, and phone numbers - into a unified profile that represents one real human.

Identity resolution is the process of connecting multiple identifiers and data points across devices, channels, and sessions to create a single, unified profile for each individual user.

An experimental approach that measures the true causal impact of a marketing activity by comparing outcomes between a group exposed to the marketing and a control group that was not, isolating the genuine lift beyond what would have happened organically.

A behavioral indicator that reveals a user's likelihood of taking a specific action, such as visiting a pricing page, comparing plans, or searching for implementation guides.

Inventory turnover measures how many times a company sells and replaces its entire inventory during a specific period. A higher turnover indicates efficient inventory management and strong demand.

Landing page conversion rate is the percentage of visitors who arrive on a specifically designed landing page and complete the intended action - such as signing up, downloading content, or making a purchase - measuring the page's effectiveness at turning traffic into leads or customers.

An attribution model that gives 100% of the credit for a conversion to the final marketing touchpoint that occurred immediately before the conversion event.

Lead scoring is a methodology that assigns numerical values to leads based on their demographic attributes and behavioral engagement, ranking them by their likelihood to convert into paying customers and enabling sales teams to prioritize outreach.

A multi-touch attribution model that distributes conversion credit equally across every touchpoint in the customer journey, giving the same weight to the first, middle, and last interactions.

The percentage of customer accounts (logos) lost in a given period, regardless of the revenue each account represented.

The defined time period that an analytics platform examines backward from a conversion event to determine which prior interactions should receive credit for influencing that conversion.

The LTV-to-CAC ratio compares the lifetime value of a customer to the cost of acquiring them. A ratio of 3:1 or higher generally indicates a healthy, scalable business model.

An automated workflow that collects data, trains predictive models, validates their accuracy, deploys them to production, and monitors their performance over time.

The primary goal of a website or product that directly generates revenue or captures a qualified lead, such as completing a purchase, subscribing to a plan, or requesting a sales demo.

A sales efficiency metric that measures how much new ARR is generated per dollar of sales and marketing spend. Indicates when to invest more in growth.

Marketing mix modeling (MMM) is a statistical analysis technique that uses historical data to quantify the impact of various marketing activities on sales or conversions, accounting for external factors like seasonality, competition, and economic conditions to optimize budget allocation.

A marketing-qualified lead (MQL) is a prospect who has demonstrated sufficient interest through marketing interactions - such as downloading content, attending webinars, or engaging with emails - to warrant sales follow-up, based on predefined qualification criteria.

A statistical modeling approach that uses regression analysis on historical data to estimate the impact of each marketing channel on business outcomes, accounting for external factors like seasonality, pricing, and competitive activity.

A small, measurable action that indicates a user is progressing toward a primary conversion goal, such as signing up for a newsletter, adding an item to a cart, or watching a demo video.

The smallest difference between control and variant that a test is designed to reliably detect, given its sample size, significance level, and desired statistical power.

The number of unique users who engage with your product at least once within a 30-day period. The standard measure of product reach and adoption.

The predictable revenue a subscription business earns every month from all active subscriptions, normalized to a monthly amount.

An attribution approach that distributes conversion credit across multiple touchpoints in a customer's journey rather than assigning all credit to a single interaction, reflecting the reality that most conversions involve multiple marketing influences.

Multivariate testing (MVT) is an experimentation method that simultaneously tests multiple combinations of page elements - such as headlines, images, and CTAs - to determine which combination of changes produces the best overall result.

The ability to ask questions about your data in plain English (or other languages) and receive answers without writing SQL or building reports manually.

The percentage of recurring revenue retained from existing customers after accounting for expansion, contraction, and churn. Above 100% means existing customers generate more revenue over time.

A customer loyalty metric measured by asking "How likely are you to recommend us?" on a 0-10 scale. Scores range from -100 to +100.

Net Revenue Retention (NRR) measures the percentage of recurring revenue retained from existing customers over a period, including expansions, contractions, and churn. An NRR above 100% means existing customers generate more revenue over time.

The default assumption in a statistical test that there is no meaningful difference between the control and test groups - any observed difference is due to random chance rather than a real effect.

The percentage of new users who complete all steps in your defined onboarding flow. A leading indicator of activation and long-term retention.

The probability of observing a result as extreme as the one measured, assuming the null hypothesis is true. A small p-value (typically below 0.05) suggests the observed difference is unlikely due to chance alone.

Pages per session is the average number of pages a user views during a single session, serving as a measure of site engagement and content discoverability.

A pageview is a single instance of a page being loaded or reloaded in a browser, counted each time a user views a page regardless of whether they have visited it before.

Path analysis is a visualization technique that maps the actual sequences of pages, screens, or events users take through a product, revealing common navigation patterns, unexpected detours, and the most frequent routes to conversion or drop-off.

The CAC payback period is the number of months it takes for a customer to generate enough gross profit to recover the cost of acquiring them. It measures how quickly your acquisition investment pays for itself.

An analytics approach that ties every event and interaction to an individual person rather than to anonymous sessions or pageviews, enabling full lifecycle analysis and person-level insights.

A tracking pixel is a tiny, invisible image (typically 1x1 pixel) or JavaScript snippet embedded in a web page or email that sends data to a server when loaded, used to track page views, conversions, and user behavior.

A multi-touch attribution model that assigns the most credit to the first and last touchpoints in the customer journey (typically 40% each) while distributing the remaining credit equally among middle interactions.

Power users are the most highly engaged segment of a product's user base, characterized by frequent usage, deep feature adoption, and disproportionately high value generation through activity, content creation, or revenue.

The use of statistical models, machine learning, and historical data to forecast future outcomes like customer behavior, churn probability, or revenue trends.

An approach that embeds data protection and privacy considerations into the design and architecture of systems and processes from the start, rather than adding them as afterthoughts.

An identity resolution technique that uses statistical methods to link identifiers that likely belong to the same person based on signals like IP address, device type, browser fingerprint, and behavioral patterns, rather than exact deterministic matches.

Product view to cart rate is the percentage of product page views that result in the item being added to the shopping cart. It measures how effectively individual product pages convert visitor interest into purchase consideration.

A survey-based metric that asks users "How would you feel if you could no longer use this product?" The percentage answering "Very disappointed" indicates product-market fit strength.

A product-qualified lead (PQL) is a user who has experienced meaningful value from a product through actual usage - typically during a free trial or freemium plan - and has demonstrated through their behavior that they are likely to become a paying customer.

Profit per order is the net profit earned on each transaction after subtracting all variable costs including product cost, shipping, payment processing, and returns. It measures the true economic value of each sale.

A statistical technique that scores individual users on their likelihood to take a specific action, such as purchasing, churning, or upgrading.

The process of replacing directly identifying information with artificial identifiers (pseudonyms), while maintaining the ability to re-link data to the original identity using a separate key.

Purchase frequency is the average number of times a customer makes a purchase within a specific time period. It measures how often customers return to buy and is a key input for calculating customer lifetime value.

The ratio of revenue growth to revenue loss, calculated as (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR). Measures the efficiency of your growth engine.

A rage click is a rapid sequence of repeated clicks on the same area of a web page, typically three or more clicks within a short time window, indicating user frustration caused by unresponsive elements, slow loading, or confusing interfaces.

The percentage of previously churned customers who return and resubscribe within a given period. Measures the effectiveness of win-back efforts.

The processing and visualization of data as events happen, allowing teams to monitor user behavior, campaign performance, and system health with minimal delay, typically under a few seconds.

A data processing approach that ingests, processes, and delivers data continuously as events occur, rather than collecting data in batches for periodic processing.

An algorithmic system that suggests relevant products, content, or actions to users based on their behavior, preferences, and similarities to other users.

A referrer (also called referring URL) is the web address of the page a user was on immediately before navigating to the current page, sent automatically by the browser in the HTTP referer header.

Refund rate is the percentage of total transactions or revenue that results in a monetary refund to the customer. Unlike return rate which tracks physical product returns, refund rate measures the financial impact of all money-back transactions.

Repeat purchase rate is the percentage of customers who make more than one purchase within a defined time period. It measures customer loyalty and the effectiveness of your retention and re-engagement strategies.

Retention analysis measures the percentage of users who continue to return to and engage with a product over time, tracking how well a product sustains its user base beyond initial acquisition.

Return on ad spend (ROAS) is the revenue generated for every dollar spent on advertising, expressed as a ratio or percentage, measuring the direct financial effectiveness of advertising campaigns.

Return rate is the percentage of sold items or orders that are returned by customers. It is a key indicator of product quality, accuracy of product descriptions, and customer satisfaction.

Returning visitors are users who have previously visited a website and come back for at least one additional session within a given reporting period.

Revenue is the total income generated by a business from the sale of goods or services before any expenses are deducted. It is the top line of an income statement and the starting point for all financial analysis.

Revenue churn (also called MRR churn) is the percentage of recurring revenue lost from existing customers in a given period due to cancellations and downgrades. It measures the rate at which your revenue base erodes.

Revenue per employee measures the average revenue generated for each full-time employee in the organization. It is a key indicator of operational efficiency and scalability.

Revenue per visitor (RPV) is the average revenue generated for each visitor to your website. It combines conversion rate and average order value into a single metric that measures the total monetary value of your traffic.

The process of syncing transformed data from a data warehouse back into operational tools like CRMs, marketing platforms, and customer success systems, turning analytical insights into action.

A planned approach for gradually releasing a new feature, change, or product to users, typically progressing from a small test group to full deployment based on defined success criteria.

The Rule of 40 states that a healthy software company's combined revenue growth rate and profit margin should equal or exceed 40%. It balances the tradeoff between growth and profitability.

Runway is the number of months a company can continue operating at its current burn rate before running out of cash. It represents the time available to reach profitability or secure additional funding.

Sample size is the number of users or observations included in each variant of an experiment, determining the statistical power of the test and how confidently you can detect real differences between variants.

Scroll depth measures how far down a web page users scroll, typically reported as the percentage of page length viewed, revealing how much of your content users actually see and where they stop scrolling.

An SDK (Software Development Kit) is a packaged set of tools, libraries, and documentation that developers integrate into an application to enable analytics tracking, typically providing pre-built methods for recording events, identifying users, and managing data.

The rate at which existing customers add additional user seats or licenses to their subscription. A key driver of net dollar retention in per-seat pricing models.

Sell-through rate is the percentage of inventory received from a supplier that is sold within a specific time period. It measures how effectively purchased inventory converts into actual sales.

Server-side tracking is an analytics implementation approach where data collection and event transmission occur on your web server rather than in the user's browser, providing more reliable and accurate data that is not affected by ad blockers or browser restrictions.

A session is a group of user interactions with a website or application that take place within a defined time window, typically ending after 30 minutes of inactivity.

Session recording captures and replays a video-like reconstruction of individual user sessions, showing mouse movements, clicks, scrolling, typing, and page transitions to reveal exactly how users interact with a website or application.

Shipping conversion impact measures how shipping costs, speed, and policies affect purchase conversion rates. It quantifies the relationship between shipping variables and the likelihood that a visitor completes a purchase.

The probability that a test will correctly detect a real effect when one exists, typically set at 80% as a minimum standard. Higher power means a lower chance of missing genuine improvements.

Statistical significance is a measure of confidence that the difference observed between test variants is real and not due to random chance, typically expressed as a percentage (e.g., 95% confidence) or a p-value threshold.

Stickiness is a measure of how frequently users return to a product, most commonly calculated as the ratio of daily active users (DAU) to monthly active users (MAU), indicating how habit-forming and indispensable a product is.

Stock to sales ratio compares the amount of inventory on hand to the volume of sales being achieved. It indicates whether inventory levels are appropriately balanced against current demand.

Artificially generated data that mimics the statistical properties and patterns of real data, used for testing, model training, and privacy-preserving analytics.

Tag management is the practice of using a centralized system (tag management system or TMS) to control, deploy, and maintain all marketing and analytics tracking codes on a website without requiring direct code changes.

Third-party data is information collected by an entity that does not have a direct relationship with the user, typically aggregated from multiple sources and sold or shared for advertising targeting and audience enrichment.

Time on page measures the duration a visitor spends on a single page, calculated as the difference between when they loaded the page and when they navigated to the next page on the same site.

The time it takes a new user to experience the core value of your product for the first time. Shorter TTFV correlates strongly with higher activation and retention.

Time to value (TTV) measures the elapsed time between a user's first interaction with a product - such as signing up or making a purchase - and the moment they experience the product's core value, directly impacting activation, retention, and satisfaction.

A multi-touch attribution model that assigns increasing credit to touchpoints closer to the conversion event, based on the assumption that more recent interactions had greater influence on the purchase decision.

The total revenue value of a customer contract including all recurring and one-time fees over the full contract term.

Any point of interaction between a customer and your brand, including website visits, emails, ads, support conversations, and in-product actions.

The percentage of free trial users who convert to a paid subscription. The most critical metric for product-led SaaS growth.

A false positive in hypothesis testing - incorrectly rejecting the null hypothesis and concluding that a change had a real effect when the observed difference was actually due to random chance.

A false negative in hypothesis testing - failing to reject the null hypothesis and concluding that a change had no effect when it actually did produce a real improvement.

Unique visitors is a count of distinct individuals who visit a website during a specified time period, where each person is counted only once regardless of how many times they return.

Unit economics is the analysis of revenue and costs associated with a single unit of your business model - typically one customer or one transaction. It reveals whether the fundamental business model is viable at any scale.

Unsubscribe rate is the percentage of email recipients who opt out of future emails after receiving a specific campaign, serving as a critical health metric for email list quality and content relevance.

Upsell rate is the percentage of customers who purchase a higher-priced version or upgrade of a product they were initially considering or currently using. It measures the success of strategies to move customers to premium options.

A method for linking multiple identifiers to the same person, such as connecting an anonymous cookie ID with an email address, or merging two separate accounts that belong to the same individual.

A visualization of the paths users take through a website or application, showing the sequence of pages or screens visited and where users enter, progress, or exit the experience.

User identity in analytics refers to a unique identifier - such as an email address, user ID, or account number - that links a specific real person to their tracked behaviors and interactions across sessions and devices.

The complete sequence of interactions a user has with a product or brand, from initial awareness through conversion and ongoing engagement.

A persistent attribute attached to a user profile that describes who they are, such as their subscription plan, account creation date, company size, or lifetime revenue.

User segmentation is the practice of dividing your user base into distinct groups based on shared characteristics, behaviors, or attributes to enable targeted analysis, personalized experiences, and more effective marketing.

UTM parameters are standardized query string tags appended to URLs that identify the source, medium, campaign, content, and term associated with a marketing link, enabling analytics tools to attribute traffic to specific marketing efforts.

A variant (also called a treatment or challenger) is an alternative version of a page, feature, or experience being tested against the control in an experiment, incorporating the specific changes hypothesized to improve performance.

An attribution method that gives credit to an ad impression (view) even when the user did not click on it, if they later convert within a defined attribution window.

An automated HTTP callback that sends real-time data from one application to another when a specific event occurs, enabling event-driven integrations without continuous polling.

Wishlist conversion rate is the percentage of items added to a wishlist or "save for later" list that are eventually purchased. It measures the effectiveness of wishlists as a tool for capturing and converting deferred purchase intent.