Glossary
Every CRO term, clearly defined.
150+ definitions written for ecom marketers — no jargon, no fluff. Including the AI and experimentation terms shaping modern CRO.
150+ definitions written for ecom marketers — no jargon, no fluff. Including the AI and experimentation terms shaping modern CRO.
Learn how A/B testing compares two webpage versions side by side, allowing digital growth teams to validate design changes based on real visitor data.
Above the fold is everything visible before scrolling. Learn what belongs there on mobile product pages and why the fold still matters for D2C conversion rates.
Learn what activation rate means in product growth, how to measure milestone completions, and strategies to turn casual signups into active daily users.
Add-to-cart rate is the percentage of visitors who click 'Add to Cart' on a product page. Formula: Add-to-Cart Clicks ÷ Product Page Sessions × 100.
Understand the aha moment in user onboarding, including how identifying early value realization improves product adoption and long term customer retention.
Learn what the alternative hypothesis represents in A/B testing, how to formulate testable statements, and methods to validate true performance differences.
Learn how header announcement bars showcase time sensitive promotions, dynamic shipping alerts, and special offers to convert storefront visitors online.
An anti-flicker snippet hides page content until an A/B test variation loads, preventing users from seeing the original before the variant appears.
Learn how average order value lift strategies use dynamic cross selling, volume bundles, and progress bars to increase basket size per customer order.
Learn how API first software architecture provides modular flexibility, allowing developers to integrate web personalization rules into modern tech stacks.
Learn how visual attention maps predict where website visitors look most, helping growth teams optimize key messaging positioning and button placements.
Learn how marketing attribution models assign conversion credit across traffic sources, helping growth teams allocate campaign budgets more effectively.
Learn how marketing attribution assigns financial credit to campaign touchpoints, guiding budget allocation toward high converting acquisition channels.
Learn how calculating average order value measures store revenue efficiency, and tactics to increase total basket spend during checkout journeys online.
A baseline is the current conversion rate or metric value of your control page before an A/B test, used to calculate lift and determine required sample size.
Bayesian statistics updates probability estimates as new data arrives, giving A/B testers actionable probability-of-winning metrics instead of p-values.
Behavioral targeting uses on-site actions, such as pages viewed and products browsed, to serve relevant content, ads, and personalised experiences.
Learn how buy one get one promotional offers increase perceived order value, clear excess inventory fast, and drive higher store checkout completion rates.
Learn how the Bonferroni correction adjusts significance thresholds in multi variant A/B tests to prevent false positive findings and maintain test rigor.
Learn how bounce rate measures single page site visits, highlighting landing page relevance issues and opportunities to improve visitor engagement online.
Brand identity is the consistent set of visual and verbal cues that make a brand recognisable. Learn how it affects D2C conversion and where it gets tested.
Learn how breadcrumb navigation paths clarify website structure, assist visitor orientation, and improve store usability across large product catalogs.
Learn how product bundling combines complementary items into attractive package offers that increase average order value and clear inventory effectively.
Learn how B2B websites support long buying cycles, tailor account messages, and convert decision-makers.
Learn how business to consumer retail operates, including key marketing models, consumer purchasing behaviors, and storefront conversion rate optimization.
Learn how CTA copy, placement, and design prompt visitors to act, and why button color often matters less.
A canonical URL tells search engines which version of duplicate pages is the original. Learn how canonical tags prevent ecommerce duplicate content problems.
Learn how mapping conversion funnels visualizes step by step customer journeys, enabling growth teams to fix drop offs and increase checkout rates online.
Learn how analyzing visitor conversion paths reveals common steps leading to purchase, enabling targeted optimizations along key user journeys online.
Learn how campaign URLs and UTM tags track traffic sources and help teams measure marketing performance.
Learn how canary releases deploy software changes to a limited subset of real users first, ensuring system stability before full scale platform deployment.
Learn how calculating cart abandonment rate identifies checkout drop offs, enabling targeted exit intent triggers to recover lost sales on store pages online.
Learn why shoppers leave items in their carts, what typical abandonment rates look like, and how D2C brands recover sales.
Cash on delivery (COD) is a payment method where customers pay for their order in cash when it is delivered, rather than prepaying online at checkout.
Learn how optimizing product category pages with clear filters, sorting options, and visual badges helps online shoppers locate items and convert online.
Learn how tracking checkout completion rates measures payment page efficiency, uncovering conversion friction points between cart and order placement.
Learn how checkout optimization removes friction from payment flows, integrates express options, and turns cart additions into completed purchases online.
Learn how the chi square test determines statistical significance in categorical data analysis, helping conversion teams evaluate A/B test split results.
Churn rate is the percentage of customers or subscribers who stop buying or cancel within a given period — a key metric for measuring retention health.
Learn how visual click maps aggregate user clicks to highlight high engagement site elements, dead links, and popular storefront navigation paths online.
Click-through rate is clicks divided by impressions. Learn what CTR measures on ads, email, and search — and why a high CTR is not always good news.
Client-side rendering (CSR) builds web pages in the browser using JavaScript. Learn how it affects ecommerce page speed, SEO, and A/B testing performance.
Learn how reducing cognitive load through clean site layouts and simplified checkout forms keeps online shoppers focused on completing their purchases.
Learn how cohort analysis tracks specific user groups over time to measure retention trends, repeat purchasing habits, and long term value expansion online.
A collection page on Shopify groups related products for browsing. Learn what makes a collection page convert well and how to optimize it for more sales.
Learn how composable commerce architecture works and why modern ecommerce brands build modular tech stacks for fast site speed and ultimate flexibility.
A confidence interval is a range that estimates where the true conversion rate improvement likely falls. Learn how to read CI in A/B testing and why it matters.
Learn how optimizing order confirmation thank you pages turns completed purchases into secondary engagement, referral, and repeat buying opportunities.
Learn how content delivery networks distribute web assets across global servers to accelerate page loading speeds and improve user retention rates online.
Learn how baseline control groups maintain unvaried page layouts in A/B testing to accurately measure performance lift produced by test variations online.
The control is the original, unchanged version of a webpage shown to a baseline segment during an A/B test to compare against tested variants.
Learn how conversion copywriting techniques influence buyer decisions, improve messaging clarity, and drive stronger sales performance across storefronts.
Learn what a conversion event represents in web analytics, how to track key customer actions, and ways to calculate conversion rates across funnels online.
Conversion rate optimization (CRO) is the systematic process of increasing the share of visitors who convert. Learn the CRO process, tools, and where to start.
Learn how conversion rate measures the proportion of site visitors completing desired actions, serving as the core metric for digital growth teams online.
Learn how implementing accurate conversion tracking analytics allows growth teams to measure marketing ROI, monitor sales funnels, and optimize pages.
Learn how website cookies store browser data, support analytics and personalization, and affect user privacy.
Core Web Vitals are Google's three key page experience metrics — LCP, FID, and CLS — measuring loading, interactivity, and visual stability as ranking signals.
Understand how digital promotional coupons incentivize hesitant store shoppers, increase checkout conversions, and influence average order value in retail.
Learn how conversion rate lift measures percentage improvement between test variations and baseline controls to verify true experiment gains accurately.
Learn how strategic cross selling recommends complementary products on cart pages and product detail layouts, increasing overall basket size effectively.
Learn how CSS optimization reduces file size and render delays to improve page speed and Core Web Vitals.
Understand Cumulative Layout Shift (CLS), how visual stability affects user experience, and practical steps to optimize overall Core Web Vitals performance.
Learn how tracking custom user interaction events provides deep behavioral insight into feature adoption, checkout progress, and site navigation funnels.
Learn how calculating customer acquisition cost measures total marketing expenditure required to gain new buyers, guiding digital budget strategy online.
Learn how customer data platforms unify customer records from multiple tools into single profiles to power personalized web campaigns across channels.
Learn how calculating customer lifetime value measures total net revenue generated by a buyer, guiding acquisition spending and retention strategies online.
The customer journey is the full path from first awareness to repeat purchase. Learn how to map it for D2C ecommerce and find the stages losing you revenue.
A dark launch is the deployment of a new feature to production in an invisible state, where the backend logic runs but users don't see or interact with it yet.
Learn how data management platforms aggregate third party visitor data to build targeted advertising cohorts and optimize programmatic ad spend online.
Decoy pricing introduces a third, deliberately inferior option to make your preferred product look like the obvious best value, boosting sales of that option.
Device targeting shows different content or experiences based on whether a visitor uses a mobile phone, tablet, or desktop.
Direct traffic is visitors with no identifiable referrer. Learn why the direct channel is usually mislabelled traffic and how to reduce it with proper tagging.
Learn how direct to consumer business models allow brand manufacturers to sell directly to buyers online, retaining margin control and customer relationships.
Learn how store promotional codes nudge price sensitive shoppers to complete purchases, lower cart drop off rates, and drive targeted marketing campaigns.
Learn how dynamic content changes storefront elements automatically based on user location, device type, or referral source to lift conversion rates online.
Dynamic pricing is a strategy where prices change in real time based on demand, competition, inventory, or customer behavior to maximize revenue.
Learn how effect size measures the magnitude of difference between A/B test variations, helping growth teams judge practical impact beyond p values online.
Learn which email flows drive repeat D2C revenue and how email campaigns work with on-site testing.
Engagement rate measures the proportion of sessions where visitors actively interact with your content. Learn the formula, benchmarks, and how to improve it.
Epsilon-greedy is a multi-armed bandit algorithm that sends most traffic to the best variant (exploitation) while reserving a fixed share for exploration.
Learn how event tracking captures specific user interactions like button clicks and video plays, providing clear insight into website feature usage online.
Learn how exit intent technology detects cursor movements toward window exit points to trigger timely popups that save abandoning store visitors online.
Learn how exit rate measures the percentage of visitors leaving a site from a specific page, highlighting drop off points across user journeys online.
An experiment in CRO is a controlled test that randomly assigns visitors to different variations of a page to measure the causal impact of a change on a metric.
Assess your organization experimentation maturity level, from basic ad hoc testing to continuous optimization, data driven culture, and advanced AI rules.
Learn how faceted search operates in modern ecommerce platforms to help online shoppers filter large product catalogs efficiently and checkout faster.
A false negative in A/B testing is when a test fails to detect a real improvement — a Type II error caused by insufficient sample size or statistical power.
Understand false positive errors in A/B testing, including how type one statistical errors happen and methods to maintain rigorous confidence levels online.
Learn how feature flags allow software teams to toggle product features live without deploying new code, enabling controlled testing and safe rollouts.
Understand First Input Delay as a Core Web Vitals metric, including how visual responsiveness impacts site user engagement and overall conversion rates.
Learn how collecting first party data directly from customer interactions builds compliant personalization rules and long term marketing strategy online.
Flicker effect is when visitors briefly see the original page before an A/B test variation loads. It undermines test credibility and damages user experience.
Learn how subtle fear of missing out triggers like live purchase tickers and low stock indicators prompt site visitors to complete checkouts faster online.
Learn how setting a minimum purchase amount for complimentary delivery encourages shoppers to add extra items to their cart, lifting average order value.
Frequentist statistics measures probability based on long-run frequencies, using p-values and confidence intervals — the traditional A/B testing framework.
Identify digital friction points across website user paths and learn practical conversion tactics to smooth out buying journeys and lift total order volume.
Learn how funnel analysis identifies exact conversion drop off points across multi step purchase paths, enabling targeted website optimization efforts.
Geo-targeting shows different website content, offers, or ads based on a visitor's country, state, city, or pin code.
Learn how setting up goal tracking in web analytics monitors key user actions, checkout steps, and conversion milestones across marketing campaigns online.
Learn how Google Tag Manager lets teams add and manage marketing or analytics tags without changing site code.
Learn how Gross Merchandise Value measures the total value of goods sold through an ecommerce platform.
Learn how self sustaining growth loops turn user actions into predictable acquisition channels, compounding business growth across product environments.
A heatmap visualizes where visitors click, scroll, and look on a page. Learn the types of heatmaps, what they reveal, and how to turn them into CRO hypotheses.
Learn how hamburger menus streamline mobile website navigation, organizing category links neatly without cluttering small smartphone screen layouts online.
Learn how hard conversion events mark primary revenue milestones like completed orders and paid signups, distinguishing them from soft user actions online.
Learn how headless commerce architecture separates front end presentation layers from back end commerce logic to maximize page speed and performance.
Learn how a holdout test keeps one group unchanged so teams can measure the true long-term effect of a campaign.
Learn how hypothesis testing validates website changes statistically, ensuring split testing variations drive true conversion lift before full rollouts.
Learn how to formulate strong, testable experimentation hypotheses in website optimization to run structured A/B tests that drive measurable revenue lift.
An intent signal is a behaviour indicating how close a visitor is to buying. Learn which on-site signals matter and how to act on them in real time.
Learn how the ICE prioritization framework evaluates impact, confidence, and ease to rank CRO ideas and streamline web experimentation roadmaps online.
Image optimization reduces image weight without visible quality loss. Learn formats, sizing, and lazy loading rules that speed up D2C product pages.
Understand incrementality in digital marketing and CRO, including step by step methods to measure true revenue lift produced by website A/B experiments.
Infinite scroll automatically loads more content as users scroll down, eliminating pagination. Learn when it helps and hurts ecommerce conversion rates.
Learn how structural information architecture organizes website content logically, enabling users to find relevant products quickly and complete tasks.
Learn how landing pages differ from product pages and which elements help turn ad and link traffic into conversions.
Landing page optimization improves the conversion rate of pages receiving campaign traffic. Learn the sequence that works and which elements to test first.
Learn how landing page view metrics differ from standard link clicks, helping digital marketers measure ad traffic quality and campaign landing success.
Learn how Largest Contentful Paint measures loading speed and affects page experience, search visibility, and conversions.
Last click attribution assigns 100% of conversion credit to the final marketing touchpoint a customer interacted with before completing a purchase.
Lazy loading is a technique where images and other resources are loaded only when they are about to enter the user's viewport, reducing initial page load time.
Learn how lead conversion tactics guide potential customers through digital sales funnels, turning interested web prospects into paying clients online.
Lift in A/B testing is the percentage improvement in a metric (conversion rate, revenue, AOV) between the variant and the control during an experiment.
Learn how lookback windows define which marketing touchpoints receive credit for a sale or conversion.
Learn how loss aversion psychological triggers encourage website visitors to complete purchases quickly to avoid missing out on special offers online.
A macro conversion is the primary goal action on your site — a purchase, subscription, or lead form submit. Learn how to track and improve it.
Learn how Minimum Detectable Effect sets the smallest change an experiment can reliably measure.
Learn how structured mega menu dropdowns organize complex product catalogs visually, improving site navigation efficiency and category menu navigation.
Message match is the consistency between an ad and the page it leads to. Learn why mismatch wastes paid budget and how to fix it across campaigns.
A micro conversion is a small but measurable step toward your main goal — newsletter signup, add-to-cart, or watchlist add. Learn how to track them.
Learn how concise microcopy on CTA buttons, form fields, and error notices guides site visitors smoothly through purchase steps to reduce friction online.
Minimum Detectable Effect (MDE) is the smallest conversion lift an A/B test can reliably detect given its sample size, power, and significance level.
Learn how mobile first design prioritizes smartphone user interfaces, responsive layouts, and quick page load speeds to maximize mobile conversion rates.
Learn how displaying risk reassurance money back guarantees reduces checkout hesitation, builds brand credibility, and increases online order completion.
Learn how multi armed bandit algorithms dynamically allocate web traffic to winning test variations, maximizing conversions during split experiments online.
Learn how multi touch attribution models distribute conversion credit across multiple customer touchpoints, providing clear channel marketing visibility.
Understand the multiple testing problem in statistical experiments, how false positive rates inflate, and practical statistical methods to correct variations.
Learn how multivariate testing compares element combinations, how it differs from A/B testing, and when to use it.
Learn how Net Promoter Score uses a simple survey to measure customer satisfaction, loyalty, and referrals.
Learn how Net Revenue Retention tracks growth from existing accounts after churn, downgrades, and expansion.
Learn how first time site visitors behave compared to returning buyers, and how tailored welcoming content increases initial visitor conversion rates.
Learn how defining a single North Star metric aligns product, marketing, and sales teams around sustainable long term customer value and business growth.
Novelty effect is the temporary lift in A/B test results caused by user curiosity about a new variant, not genuine improvement — it fades as users habituate.
Learn what the null hypothesis assumes in A/B testing, how to calculate statistical significance, and when to reject baseline control performance claims.
Learn how omnichannel strategies unify customer touchpoints across physical stores, mobile apps, and digital channels to create cohesive shopping journeys.
Learn what Open Network for Digital Commerce (ONDC) means for ecommerce, including core network mechanics, seller benefits, and digital commerce impact.
Learn how organic traffic from search engine results drives qualified site visitors, and how matching landing page content improves conversion performance.
Learn how payment gateways process online payments and how gateway choice and failure rates affect D2C sales.
A product page is where a shopper decides whether to buy. Learn what belongs on a D2C product page and which elements move add-to-cart rate most.
Learn how p values determine statistical significance in split tests, helping growth teams distinguish real conversion gains from random data noise online.
Page speed is how quickly a web page loads and becomes interactive for users — directly affecting bounce rate, conversion rate, and search engine rankings.
Learn how pages per session measures user engagement depth, website content interest, and store navigation efficiency across desktop and mobile devices.
Learn how tracking total pageviews helps growth teams evaluate content popularity, website traffic volume, and overall visitor engagement levels online.
Learn how dividing product catalogs into separate paginated pages impacts site speed, search engine crawling, user navigation, and catalog interaction.
Learn how paid traffic from ad channels behaves on landing pages, and strategies to align page content with ad copy to maximize return on ad spend online.
The peeking problem occurs when A/B test results are checked repeatedly before completion, inflating false positive rates and producing unreliable winners.
Performance optimization makes pages load and respond faster. Learn which speed metrics affect conversion and what to fix first on a D2C ecommerce store.
Learn how customer personas help teams adapt store copy, offers, and design to different buyer needs.
Learn how website personalization tailors storefront copy, product recommendations, and promotional offers to individual visitor behavioral signals online.
Use the PIE Framework to rank CRO test ideas by Potential, Importance, and Ease before adding them to your roadmap.
A pixel is a small JavaScript code snippet placed on a website that tracks user actions and sends that behavioral data back to an ad platform or analytics tool.
Learn how strategic website popups display targeted offers, email signups, and discount notices without disrupting overall user navigation flow online.
Learn how statistical power analysis determines the sample size needed to detect real conversion differences between test variations accurately online.
Predictive analytics uses historical data to forecast future behaviour. Learn where prediction genuinely helps D2C ecommerce and where it is oversold.
Learn how price anchoring positions higher reference prices alongside discounted rates to increase perceived value and encourage purchasing actions online.
Pricing strategy is how you set and present prices to maximise profit. Learn the main approaches and how to test price presentation on a D2C store.
Learn how optimizing product description pages with social proof, dynamic urgency, and clear CTA buttons increases storefront conversion rates online.
Learn how optimizing product listing pages with smart filters, visual badges, and sorting tools helps online shoppers evaluate catalogs and convert faster.
Learn how product led growth uses the core product to drive user acquisition, customer retention, and organic expansion across self serve SaaS platforms.
Learn how progressive rollouts release software updates to small user segments gradually, reducing operational risk and ensuring stable system performance.
Learn how progressive web apps deliver app like speed, offline functionality, and mobile push notifications directly within standard web interface windows.
Psychological pricing uses price presentation tactics — like ₹999 instead of ₹1,000 — to make prices feel smaller, triggering faster purchase decisions.
Purchase conversion is the percentage of site sessions that result in a completed order. It is the core metric for ecommerce revenue optimisation. Learn more.
Learn how quick commerce delivery models fulfill online grocery and retail orders in under thirty minutes through localized fulfillment centers and hubs.
Learn how quick view lets shoppers inspect products without leaving a listing page and how it can affect conversions.
A recommendation engine selects which products to show each visitor. Learn the main recommendation approaches and where they lift AOV on D2C stores.
Learn how real time personalization adapts storefront content, banners, and offers to individual visitor signals instantaneously as they navigate pages.
Learn how recently viewed product widgets help ecommerce shoppers find previously viewed items quickly to lift repeat interactions and checkout volume.
Recurring revenue is income a business earns predictably at regular intervals from subscriptions or repeat contracts, making cash flow stable and forecastable.
Learn how site visitors arriving from external partner sites behave, and how to tailor welcoming page content to convert referral traffic efficiently.
Learn why extreme results tend to move toward the average and how this can distort A/B test results.
Learn how calculating repeat purchase rate measures customer retention strength, brand loyalty, and long term customer lifetime value for ecommerce brands.
Responsive design adapts a layout to any screen size. Learn why responsive is not the same as mobile-optimised and what that distinction costs D2C stores.
Retention rate is the percentage of customers who continue buying or remain subscribed over a given period — the inverse of churn rate and a key growth lever.
Learn how calculating return on ad spend measures digital advertising campaign efficiency, helping marketers optimize paid traffic spending for profit.
Understand Return to Origin in ecommerce logistics, including primary causes of non delivery and operational tactics to reduce failed shipments online.
Learn how returning site visitors behave differently than first time shoppers, and how tailored recommendations drive repeat purchase conversions online.
Revenue lift is the percentage or absolute increase in revenue attributed to a winning A/B test variant, measuring the direct business impact of a CRO change.
Learn why Revenue Per Visitor is a critical CRO metric combining conversion rate and average order value to measure true storefront earning efficiency.
Learn how RFM analysis groups customers by recency, frequency, and monetary value for targeted retention campaigns.
Learn how the RICE framework prioritizes product ideas and experimentation roadmaps based on reach, impact, confidence, and required developer effort.
Run time in A/B testing is the planned duration an experiment must stay live to collect sufficient sample size and reach reliable statistical conclusions.
Learn how software as a service cloud platforms deliver application access via web subscriptions, replacing traditional desktop software installations.
Understand sample ratio mismatch in A/B testing, including how traffic distribution imbalances invalidate test results and how to detect SRM early online.
Learn how calculating required sample size before starting A/B tests ensures statistical validity and prevents stopping experiments prematurely online.
Learn how stock level scarcity signals and limited availability messaging motivate hesitant online shoppers to make faster buying decisions during checkout.
Learn how schema markup helps search engines understand page content and display useful rich results.
Learn how tracking website scroll depth reveals how far visitors engage with page content, helping growth teams place key Call to Action buttons online.
Learn how website scroll maps reveal how far visitors scroll down a webpage, showing where attention drops and where key call to action buttons belong.
Learn how search autocomplete helps shoppers find products faster, reduces friction, and supports conversions.
SEO is the practice of earning unpaid search traffic. Learn what actually matters for D2C ecommerce SEO and how it interacts with conversion optimization.
Search intent is the goal behind a query. Learn the four intent types, how to identify them from the SERP, and how intent shapes ecommerce page design.
Learn how audience segmentation divides website traffic by behavior, location, and device to deliver targeted messaging and contextually relevant offers.
Sequential testing is an A/B testing method that allows you to check results continuously without inflating false positive rates, enabling faster decisions.
Server-side rendering (SSR) generates HTML on the server before sending it to the browser, improving page speed and SEO for ecommerce stores.
Learn how average session duration measures visitor engagement depth, identifying key opportunities to refine page layouts and keep users active online.
Learn how session recording visual tools capture real user interactions on your website, uncovering usability friction and checkout funnel blockers online.
Sessions per user measures how often individual visitors return to your site. It is a loyalty and retention metric that signals long-term brand engagement.
Learn how statistical significance confirms A/B test results, ensuring observed conversion improvements stem from actual changes rather than chance online.
Signup conversion is the rate at which visitors register for an account, free trial, or newsletter. It is a key top-of-funnel metric for ecommerce and SaaS brands.
A slide-in is a small overlay that slides in from the corner or edge of a page — less intrusive than a pop-up. Learn when slide-ins convert better for ecommerce stores.
Social proof is evidence that other people have bought and trusted your product — reviews, ratings, testimonials, user counts. Learn how it boosts ecommerce conversions.
Learn how web visitors arriving from social media channels behave, and how to tailor landing page messaging to convert social traffic into store buyers.
A soft conversion is a non-revenue action — newsletter signup, account creation, or download — that signals intent and nurtures toward a purchase. Learn more.
Split URL testing sends visitors to two different URLs to compare page performance. Learn when to use it instead of A/B testing for major redesigns.
An SSL certificate encrypts data between a browser and your server, displaying a padlock in the address bar. Learn why it's essential for ecommerce trust and conversions.
Statistical power is the probability an A/B test will detect a real effect when one exists. Higher power (80–95%) reduces false negatives and wasted experiments.
Statistical significance tells you whether A/B test results are real or due to chance. Learn the definition, how to calculate it, and what significance level to use.
A sticky bar is a fixed banner that stays visible as users scroll — used for promotions, shipping offers, or CTAs. Learn how to use sticky bars to boost ecommerce conversions.
Stopping rules in A/B testing define when an experiment should be concluded — based on planned sample size, duration, or sequential testing criteria — to maintain statistical validity.
Subscription commerce is a business model where customers pay a recurring fee — monthly or annually — to receive products or services on an automated schedule.
A subscription is a recurring purchase agreement where customers pay at regular intervals for continued access to a product or service, creating predictable revenue.
Trust signals are the elements that convince a visitor your store is legitimate. Learn which ones actually work for Indian D2C brands and where to place them.
A t-test in A/B testing compares the means of two groups (control vs. variant) to determine if a difference in continuous metrics like AOV or revenue is statistically significant.
Tag management is the process of deploying and controlling marketing and analytics code snippets (tags) on a website through a centralized platform rather than editing site code directly.
Take rate is the percentage of GMV a marketplace retains as revenue — its commission. Learn how take rate is calculated and why it matters for D2C brands selling on platforms.
Test velocity is the number of A/B tests a team runs per unit of time. Higher test velocity compounds learning and conversion gains. Learn what drives it and how to increase it.
A thank you page is displayed after a purchase or form submission. Learn how to turn this overlooked page into a revenue driver with upsells, referrals, and loyalty signals.
Third-party data is audience information purchased from data brokers with no direct relationship to your customers — increasingly restricted by privacy regulations and browser changes.
Thompson Sampling is a Bayesian bandit algorithm that allocates traffic by sampling from each variant's probability distribution, balancing exploration and exploitation efficiently.
Time on page is the average time visitors spend on a specific page before navigating away. Learn what it reveals about content quality and how to use it in CRO.
Time to First Byte (TTFB) measures how long a browser waits for the first byte of data from a server — a foundational metric that sets the floor for all other page speed metrics.
Traffic allocation in A/B testing is the percentage of visitors assigned to each variant. It determines test speed and balances risk between control and variant.
Traffic source targeting personalises website experiences based on where a visitor came from — paid ads, organic search, email, social media, or direct traffic.
The treatment group in A/B testing sees the new variation you're testing. It's compared against the control group to measure the impact of your change. Learn more.
A trust badge is a visual symbol that signals your store is safe and credible — SSL, money-back guarantee, payment logos. Learn which badges lift conversions most.
Type I error (false positive) occurs when an A/B test declares a winner that doesn't actually improve conversion — controlled by your significance level (alpha).
Type II error (false negative) occurs when an A/B test fails to detect a real improvement — controlled by statistical power (1 − beta) and sample size.
Unboxing experience is the physical and emotional journey a customer has when opening a delivered package. Learn how it drives repeat purchases and brand loyalty.
A USP (Unique Selling Proposition) is the one thing that makes your product different from every alternative. Learn how to define yours and use it to boost conversions.
An upsell is an offer to buy a higher-value version or upgrade of what a customer already intends to buy. Learn how to use upsells to increase average order value.
Urgency in ecommerce is a time-based trigger that encourages shoppers to act before a deadline expires. Learn how to use urgency ethically to increase conversions.
User behavior is what visitors actually do on your site — clicks, scrolls, paths, and hesitations. Learn how to collect and read behavioural data for CRO.
User Experience (UX) is how a person feels when interacting with your website — covering usability, clarity, speed, and ease of completing tasks like finding and buying a product.
User Interface (UI) is the visual layer of a website — buttons, layouts, typography, colors, and interactive elements — that users see and interact with when shopping.
UTM parameters are tags added to URLs that tell analytics tools which campaign, channel, and content drove a visit — essential for accurate attribution and ROI tracking.
A value proposition states why a customer should buy from you rather than anyone else. Learn how to write and test one that actually moves conversion rate.
A variant is an alternative version of a webpage or element tested against the control in an A/B test to measure which drives higher conversions.
Visitor segmentation divides website traffic into groups by behavior, device, source, or intent to enable targeted A/B tests and personalized experiences.
Visual hierarchy is the order in which page elements draw attention. Learn how size, contrast, and spacing guide shoppers toward the action you want.
Website personalization adapts page content to each visitor's context and behaviour. Learn the highest-impact personalization plays for Indian D2C ecommerce.
A winner in A/B testing is the variant (or control) that achieves statistically significant improvement in the primary metric and is selected for full rollout.
A wish list lets shoppers save products they want to buy later. Learn how wish lists capture purchase intent, reduce abandonment, and drive retargeting opportunities.
A z-test in A/B testing compares two proportions (conversion rates) to determine statistical significance. It is the most common test for binary conversion metrics.
Zero-party data is information customers intentionally share with a brand — quiz answers, preferences, and goals — delivering consent-based personalisation without tracking.
The CustomFit conversion glossary defines the experimentation, personalization, and statistics terms D2C marketers actually encounter — in plain English, with ecommerce context, and links to how to apply each.
Find a term fast.
Plain-English definition.
Follow the how-to link.
Use it in your next test.
Get up to speed quickly.
A shared vocabulary.
Understand the reports.
I send every new hire to this glossary — it gets them speaking the language of experimentation in a day.
The CustomFit conversion glossary defines the experimentation, personalization, and statistics terms D2C marketers actually encounter — in plain English, with ecommerce context, and links to how to apply each in practice.
From “Bayesian vs frequentist” to “multi-armed bandit” and “statistical significance,” the glossary gives teams a shared vocabulary so reports are understood the same way by marketers, analysts, and stakeholders.
Each definition links to deeper guides, so the glossary is both a quick reference and an on-ramp into running better experiments.
New and experienced marketers, CRO teams, and stakeholders who want a shared vocabulary for experimentation.
Yes, the glossary is maintained as new methods and terms emerge.
Yes, reach out via Contact and we’ll add commonly-requested terms.
CRO is the systematic practice of increasing the percentage of website visitors who take a desired action — purchase, sign-up, or lead — using A/B testing, website personalization, and UX improvements. For D2C and ecommerce brands it directly lifts revenue from existing traffic.
They’re largely the same: both compare variations to see which converts better. "Split testing" sometimes refers specifically to split-URL testing, where traffic is divided between two separate URLs rather than swapping elements on one page.
Website personalization dynamically adapts a site’s content, offers, products, and layout to each visitor based on signals like location, device, traffic source, and behavior — increasing relevance and conversion versus a single static experience.
Direct-to-consumer marketing is how brands that sell straight to shoppers acquire and retain customers — paid social, influencer, SEO, email/SMS, and on-site CRO — while owning the customer relationship and first-party data.
Conversion rate (CVR), average order value (AOV), and revenue per visitor (RPV) are the core trio. RPV is often the best single optimization target because it captures both conversion and basket-size changes.
CustomFit.ai lets D2C teams run A/B, multivariate, and split-URL tests and build real-time personalized experiences in a no-code editor — with AI Copilot generating changes from a prompt and every experiment measured against real revenue.
No. Marketers build experiments and personalized experiences in a no-code visual editor; developers can use the API and SDKs when they want deeper control.
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