{"id":2894,"date":"2026-10-11T10:19:18","date_gmt":"2026-10-11T10:19:18","guid":{"rendered":"https:\/\/bkabhi.com\/blog\/?p=2894"},"modified":"2026-10-11T10:19:35","modified_gmt":"2026-10-11T10:19:35","slug":"product-analytics-vs-marketing-analytics-for-startups","status":"publish","type":"post","link":"https:\/\/bkabhi.com\/blog\/product-analytics-vs-marketing-analytics-for-startups\/","title":{"rendered":"Product Analytics vs Marketing Analytics for Startups: Smart Guide"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"572\" data-src=\"https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/product-analytics-vs-marketing-analytics-for-startups-1024x572.jpg\" alt=\"product analytics vs marketing analytics for startups\" class=\"wp-image-2895 lazyload\" data-srcset=\"https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/product-analytics-vs-marketing-analytics-for-startups-1024x572.jpg 1024w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/product-analytics-vs-marketing-analytics-for-startups-300x167.jpg 300w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/product-analytics-vs-marketing-analytics-for-startups-768x429.jpg 768w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/product-analytics-vs-marketing-analytics-for-startups-1536x857.jpg 1536w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/product-analytics-vs-marketing-analytics-for-startups-2048x1143.jpg 2048w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/product-analytics-vs-marketing-analytics-for-startups-150x84.jpg 150w\" data-sizes=\"(max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/572;\" \/><figcaption class=\"wp-element-caption\">product analytics vs marketing analytics for startups<\/figcaption><\/figure>\n\n\n\n<p>A startup can attract thousands of website visitors without gaining many paying customers. It can also build a useful product that existing users appreciate but struggle to acquire enough new customers.<\/p>\n\n\n\n<p>These are two different problems, and they require different questions to be answered.<\/p>\n\n\n\n<p><strong>Product analytics vs marketing analytics for startups comes down to understanding what happens before a customer arrives and what happens after they start using the product.<\/strong> Marketing analytics focuses on measuring the effectiveness of the firm\u2019s acquisition and campaign performance, while product analytics tries to understand customers\u2019 behavior with the product, determine pain points, and see if they continue to deliver value.<\/p>\n\n\n\n<p>Both analytics are similar, and sometimes they overlap, so some analytics tools provide both services and other tools offer only one of the services. The choice between product and marketing analytics depends on the company\u2019s business model, maturity, available resources, and strategic objectives.<\/p>\n\n\n\n<div class=\"wp-block-rank-math-toc-block\" id=\"rank-math-toc\"><h2>Table of Contents<\/h2><nav><ul><li><a href=\"#quick-answer-product-analytics-vs-marketing-analytics\">Quick Answer: Product Analytics vs Marketing Analytics<\/a><\/li><li><a href=\"#what-is-marketing-analytics\">What Is Marketing Analytics?<\/a><\/li><li><a href=\"#what-is-product-analytics\">What Is Product Analytics?<\/a><\/li><li><a href=\"#product-analytics-vs-marketing-analytics-key-differences\">Product Analytics vs Marketing Analytics: Key Differences<\/a><\/li><li><a href=\"#which-metrics-should-startups-track\">Which Metrics Should Startups Track?<\/a><\/li><li><a href=\"#a-worked-example-from-campaign-click-to-retained-customer\">A Worked Example: From Campaign Click to Retained Customer<\/a><\/li><li><a href=\"#does-your-startup-need-one-analytics-tool-or-two\">Does Your Startup Need One Analytics Tool or Two?<\/a><\/li><li><a href=\"#how-to-set-up-analytics-for-a-saa-s-mvp\">How to Set Up Analytics for a SaaS MVP<\/a><\/li><li><a href=\"#analytics-costs-implementation-and-maintenance\">Analytics Costs, Implementation, and Maintenance<\/a><\/li><li><a href=\"#data-quality-privacy-and-measurement-limitations\">Data Quality, Privacy, and Measurement Limitations<\/a><\/li><li><a href=\"#how-to-choose-the-right-analytics-approach\">How to Choose the Right Analytics Approach<\/a><\/li><li><a href=\"#conclusion\">Conclusion<\/a><\/li><li><a href=\"#author-bio\">Author Bio<\/a><\/li><\/ul><\/nav><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"quick-answer-product-analytics-vs-marketing-analytics\"><strong>Quick Answer: Product Analytics vs Marketing Analytics<\/strong><\/h2>\n\n\n\n<p>Marketing analytics focuses on how people discover and reach your business. Product analytics focuses on what users do within your website, application, or digital product.<\/p>\n\n\n\n<p>For example, marketing analytics can help a SaaS founder identify which campaign generates the most qualified sign-ups. Product analytics can reveal which of those sign-ups completes onboarding, uses a core feature, and returns the following week.<\/p>\n\n\n\n<p>Most startups benefit from understanding both sides of the customer journey. However, they don&#8217;t necessarily need two separate tools from day one.<\/p>\n\n\n\n<p>Start with the questions that matter most to your business, then implement the smallest measurement system that can answer them reliably.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-is-marketing-analytics\"><strong>What Is Marketing Analytics?<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"572\" data-src=\"https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-is-1024x572.jpg\" alt=\"gross domestic product is\" class=\"wp-image-2896 lazyload\" data-srcset=\"https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-is-1024x572.jpg 1024w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-is-300x167.jpg 300w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-is-768x429.jpg 768w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-is-1536x857.jpg 1536w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-is-2048x1143.jpg 2048w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-is-150x84.jpg 150w\" data-sizes=\"(max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/572;\" \/><figcaption class=\"wp-element-caption\">gross domestic product is<\/figcaption><\/figure>\n\n\n\n<p>Marketing analytics can be defined as a set of activities related to gathering and analyzing data on the progress of marketing initiatives, customer acquisition, and the appeal of particular campaigns. It enables the company\u2019s founders and marketers to track the sources of visitor traffic, recognize the most compelling offers, and understand the factors that drive conversions. <\/p>\n\n\n\n<p>In the case of an upcoming business, the essential marketing analytics dashboard would include Google and other search engines, ads, email, social media, referrals, and landing pages.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"common-marketing-analytics-metrics\"><strong>Common marketing analytics metrics<\/strong><\/h3>\n\n\n\n<p><strong>Traffic and reach<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Website visitors and sessions<\/li>\n\n\n\n<li>Page views<\/li>\n\n\n\n<li>Impressions and clicks<\/li>\n\n\n\n<li>Traffic by acquisition channel<\/li>\n<\/ul>\n\n\n\n<p><strong>Campaign performance<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Click-through rate (CTR)<\/li>\n\n\n\n<li>Landing-page conversion rate<\/li>\n\n\n\n<li>Cost per click (CPC)<\/li>\n\n\n\n<li>Cost per acquisition (CPA), when properly defined<\/li>\n<\/ul>\n\n\n\n<p><strong>Business outcomes<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Customer acquisition cost (CAC)<\/li>\n\n\n\n<li>Lead-to-customer conversion<\/li>\n\n\n\n<li>Attributed revenue<\/li>\n\n\n\n<li>Return on ad spend (ROAS), when revenue and advertising costs are measured consistently<\/li>\n<\/ul>\n\n\n\n<p>These metrics answer different questions. A high click-through rate signifies that an advertisement attracts attention, yet, it does not necessarily mean that the clicks will convert into valuable customers.<\/p>\n\n\n\n<p>Likewise, having leads with a low cost per lead in a campaign can turn out to be a failure if these leads rarely become paying customers.<\/p>\n\n\n\n<p>Marketing analytics is most effective when it relates activity in the campaign to the actual business outcomes beyond traffic.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-is-product-analytics\"><strong>What Is Product Analytics?<\/strong><\/h2>\n\n\n\n<p>Product analytics measures how people interact with a digital product.<\/p>\n\n\n\n<p>Rather than focusing on the source of a visit, it examines the actions that a user performs in an application or while engaging with a product.<\/p>\n\n\n\n<p>For a SaaS business, it can be creating an account, completing onboarding, inviting a teammate, creating a project, generating a report, or upgrading to a paid subscription.<\/p>\n\n\n\n<p>It helps understand if the product is valuable enough for the users, what are the most commonly used features, and what prevents them from returning.<\/p>\n\n\n\n<p>Amplitude\u2019s official documentation lists product analytics capabilities like product overview, onboarding funnels, feature engagement, and retention analysis.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"common-product-analytics-metrics\"><strong>Common product analytics metrics<\/strong><\/h3>\n\n\n\n<p><strong>Activation<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sign-up-to-activation rate<\/li>\n\n\n\n<li>Onboarding completion<\/li>\n\n\n\n<li>Time to first meaningful outcome<\/li>\n<\/ul>\n\n\n\n<p><strong>Engagement<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Feature adoption<\/li>\n\n\n\n<li>Frequency of core actions<\/li>\n\n\n\n<li>Active users over a defined period<\/li>\n\n\n\n<li>Completion of important workflows<\/li>\n<\/ul>\n\n\n\n<p><strong>Retention<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Day-seven or week-four retention, where appropriate<\/li>\n\n\n\n<li>Repeat usage of a core feature<\/li>\n\n\n\n<li>Retention by signup cohort<\/li>\n\n\n\n<li>Subscription renewal and cancellation behavior, when integrated with billing data<\/li>\n<\/ul>\n\n\n\n<p><strong>Conversion and monetization<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Trial-to-paid conversion<\/li>\n\n\n\n<li>Free-to-paid conversion<\/li>\n\n\n\n<li>Funnel completion<\/li>\n\n\n\n<li>Revenue associated with defined user segments<\/li>\n<\/ul>\n\n\n\n<p>A useful product analytics setup measures actions that indicate customer value, not every possible click.<\/p>\n\n\n\n<p>For example, a project management SaaS may learn more from tracking whether a new user creates a project and invites a teammate than from counting how many times that user opens the settings menu.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"product-analytics-vs-marketing-analytics-key-differences\"><strong>Product Analytics vs Marketing Analytics: Key Differences<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"572\" data-src=\"https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-definition-1024x572.jpg\" alt=\"gross domestic product definition\" class=\"wp-image-2898 lazyload\" data-srcset=\"https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-definition-1024x572.jpg 1024w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-definition-300x167.jpg 300w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-definition-768x429.jpg 768w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-definition-1536x857.jpg 1536w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-definition-2048x1143.jpg 2048w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-definition-150x84.jpg 150w\" data-sizes=\"(max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/572;\" \/><figcaption class=\"wp-element-caption\">gross domestic product definition<\/figcaption><\/figure>\n\n\n\n<p>The most useful distinction is the business question each discipline helps answer.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Comparison<\/strong><\/td><td><strong>Marketing analytics<\/strong><\/td><td><strong>Product analytics<\/strong><\/td><\/tr><tr><td>Main objective<\/td><td>Improve acquisition and marketing efficiency<\/td><td>Improve product experience and user outcomes<\/td><\/tr><tr><td>Typical starting point<\/td><td>Campaign impression, click, visit, or lead<\/td><td>Sign-up or in-product action<\/td><\/tr><tr><td>Main focus<\/td><td>Channels, campaigns, landing pages, and conversion<\/td><td>Onboarding, feature usage, funnels, and retention<\/td><\/tr><tr><td>Common metrics<\/td><td>CTR, CPC, CAC, campaign conversion<\/td><td>Activation, feature adoption, retention, trial-to-paid conversion<\/td><\/tr><tr><td>Primary users<\/td><td>Marketing teams, founders, growth teams<\/td><td>Product managers, founders, designers, developers<\/td><\/tr><tr><td>Typical question<\/td><td>Which campaign brings qualified customers?<\/td><td>Which users reach value and continue using the product?<\/td><\/tr><tr><td>Common limitation<\/td><td>Traffic and campaign conversion don&#8217;t establish long-term product value<\/td><td>Product behavior alone may not explain acquisition costs or campaign effectiveness<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>These are typical areas of emphasis rather than strict technical boundaries. Modern platforms can combine campaign reporting, conversion funnels, and product engagement analysis.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"1-acquisition-vs-activation-and-retention\"><strong>1. Acquisition vs. activation and retention<\/strong><\/h3>\n\n\n\n<p>Marketing analytics often begins before a user reaches the product. It measures how prospects find the business and get to the first conversion.<\/p>\n\n\n\n<p>Product analytics often starts when the users engage with the product. It determines whether they perform valuable actions and continue deriving benefits from the service or not A startup needs both perspectives to distinguish between an acquisition problem and a product experience problem.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"2-campaign-performance-vs-user-behavior\"><strong>2. Campaign performance vs. user behavior<\/strong><\/h3>\n\n\n\n<p>Marketing analytics can compare traffic from paid search, organic search, email, or referral campaigns.<\/p>\n\n\n\n<p>Product analytics can assess if the users acquired through these sources act distinctly once they reach the onboarding stage.<\/p>\n\n\n\n<p>For example, one campaign can bring more cheap users, while the other, less users but of higher quality, who often perform actions. By examining only the number of new users, the founder can make a mistake and invest more resources into the first campaign.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"3-aggregate-reports-vs-behavioral-analysis\"><strong>3. Aggregate reports vs. behavioral analysis<\/strong><\/h3>\n\n\n\n<p>Marketing reports often summarize performance by channel, campaign, page, or session.<\/p>\n\n\n\n<p>Product analytics can go deeper into sequences of user actions, behavioral cohorts, and feature-level engagement.<\/p>\n\n\n\n<p>The distinction isn&#8217;t absolute: both types of tools can provide funnels and segmentation. The difference lies in the questions the team needs to answer and the depth of behavioral analysis required.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"which-metrics-should-startups-track\"><strong>Which Metrics Should Startups Track?<\/strong><\/h2>\n\n\n\n<p>A startup doesn&#8217;t need dozens of dashboards to begin making better decisions. It needs a small number of reliable metrics connected to clear business questions.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"marketing-metrics-to-start-with\"><strong>Marketing metrics to start with<\/strong><\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Metric<\/strong><\/td><td><strong>What it tells you<\/strong><\/td><\/tr><tr><td>Visitors by channel<\/td><td>Where website traffic originates<\/td><\/tr><tr><td>Landing-page conversion rate<\/td><td>How effectively a page turns visits into a defined conversion<\/td><\/tr><tr><td>Cost per lead<\/td><td>How much is spent to generate a lead, using a consistent definition<\/td><\/tr><tr><td>Customer acquisition cost<\/td><td>The cost of acquiring a customer within a defined measurement scope<\/td><\/tr><tr><td>Attributed revenue<\/td><td>Revenue credited to a campaign or channel under a stated attribution model<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"product-metrics-to-start-with\"><strong>Product metrics to start with<\/strong><\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Metric<\/strong><\/td><td><strong>What it tells you<\/strong><\/td><\/tr><tr><td>Activation rate<\/td><td>The share of eligible new users who complete a defined value-producing action<\/td><\/tr><tr><td>Onboarding completion<\/td><td>Where users finish or abandon the onboarding process<\/td><\/tr><tr><td>Core feature adoption<\/td><td>Whether users engage with the product&#8217;s primary functionality<\/td><\/tr><tr><td>Retention rate<\/td><td>Whether users return within a defined time window<\/td><\/tr><tr><td>Trial-to-paid conversion<\/td><td>How often trial users become paying customers<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Define each metric before comparing it over time. For instance, activation could be creating a first project for one SaaS product and completing a first transaction for another.<\/p>\n\n\n\n<p>Make sure that the definition reflects the actual value proposition of your product.<\/p>\n\n\n\n<p><strong>Avoid vanity metrics<\/strong><\/p>\n\n\n\n<p>While the number of impressions, page views, and total sign-ups can be helpful metrics for certain products, they rarely provide much context on their own. A strong increase in sign-ups can occur without any improvement in activation, and growing engagement does not guarantee higher paid conversion. As <a href=\"https:\/\/amplitude.com\/blog\/marketing-analytics-vs-product-analytics-part-1\" target=\"_blank\" rel=\"noopener\">Amplitude explains in its comparison of marketing analytics and product analytics<\/a>, understanding both customer acquisition and in-product behavior helps teams evaluate performance from different perspectives. Use early indicators to identify what is happening, then examine downstream effects before making significant decisions.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"a-worked-example-from-campaign-click-to-retained-customer\"><strong>A Worked Example: From Campaign Click to Retained Customer<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"576\" data-src=\"https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/what-is-a-product-in-math-1024x576.png\" alt=\"what is a product in math\" class=\"wp-image-2899 lazyload\" data-srcset=\"https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/what-is-a-product-in-math-1024x576.png 1024w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/what-is-a-product-in-math-300x169.png 300w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/what-is-a-product-in-math-768x432.png 768w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/what-is-a-product-in-math-1536x864.png 1536w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/what-is-a-product-in-math-150x84.png 150w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/what-is-a-product-in-math.png 1672w\" data-sizes=\"(max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/576;\" \/><figcaption class=\"wp-element-caption\">what is a product in math<\/figcaption><\/figure>\n\n\n\n<p>Consider a hypothetical SaaS startup that sells a subscription-based project management tool.<\/p>\n\n\n\n<p>The company launches two campaigns:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Campaign A promotes a free project template.<\/li>\n\n\n\n<li>Campaign B promotes a product demonstration for teams.<\/li>\n<\/ul>\n\n\n\n<p>The following figures are illustrative only, not real company results or industry benchmarks.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Measurement<\/strong><\/td><td><strong>Campaign A<\/strong><\/td><td><strong>Campaign B<\/strong><\/td><\/tr><tr><td>Landing-page visitors<\/td><td>1,000<\/td><td>500<\/td><\/tr><tr><td>Sign-ups<\/td><td>100<\/td><td>75<\/td><\/tr><tr><td>Activated users<\/td><td>20<\/td><td>30<\/td><\/tr><tr><td>Activation rate among sign-ups<\/td><td>20%<\/td><td>40%<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Campaign A generates twice as many visitors and more sign-ups. However, Campaign B generates more activated users from fewer visits.<\/p>\n\n\n\n<p>Marketing analytics helps the startup compare acquisition volume and campaign conversion. Product analytics helps it determine whether sign-ups complete meaningful product actions.<\/p>\n\n\n\n<p>The founder should now investigate several questions:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Are visitors from Campaign A mainly looking for free templates rather than project management software?<\/li>\n\n\n\n<li>Does Campaign B attract teams with a more immediate need for the product?<\/li>\n\n\n\n<li>Do activated users from either campaign return and become paying customers?<\/li>\n\n\n\n<li>Are the differences large enough to justify changing campaign budgets?<\/li>\n<\/ol>\n\n\n\n<p>The next step is to compare retention, trial-to-paid conversion, and acquisition costs. The example does not establish which campaign is more profitable because the required cost and revenue data are missing.<\/p>\n\n\n\n<p>This is why acquisition and product behavior should be evaluated together.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"does-your-startup-need-one-analytics-tool-or-two\"><strong>Does Your Startup Need One Analytics Tool or Two?<\/strong><\/h2>\n\n\n\n<p>Not necessarily.The right stack is determined based on the tools\u2019 capabilities they already have and what level of analysis the team needs.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"when-one-platform-may-be-enough\"><strong>When one platform may be enough<\/strong><\/h3>\n\n\n\n<p>A single analytics platform may be suitable when:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>You have a relatively simple website and product.<\/li>\n\n\n\n<li>Their primary concerns are traffic, sign-ups, activation, and fundamental retention.<\/li>\n\n\n\n<li>The platform supports the required events, campaign data, and reporting.<\/li>\n\n\n\n<li>Their team would like to reduce setup and maintenance.<\/li>\n<\/ul>\n\n\n\n<p>Amplitude&#8217;s current documentation, for example, describes both marketing analytics and product analytics capabilities. This shows that the two categories aren&#8217;t always requiring separate products.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"when-separate-tools-may-make-sense\"><strong>When separate tools may make sense<\/strong><\/h3>\n\n\n\n<p>Separate tools may be justified when:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Your advertising team needs specialized campaign or media reporting.<\/li>\n\n\n\n<li>Your product team requires deeper behavioral analysis.<\/li>\n\n\n\n<li>Existing platforms have important gaps in reporting or integrations.<\/li>\n\n\n\n<li>Different teams need different processes and permissions.<\/li>\n\n\n\n<li>Additional software and maintenance costs are justified by the decisions they enable<\/li>\n<\/ul>\n\n\n\n<p>Before buying another tool, check if your current platform can answer the question with existing reports, event configuration, or integration.<\/p>\n\n\n\n<p>More tools don&#8217;t inherently lead to better insights, and separate platforms can introduce inconsistent user counts, duplicated events, disagreements over attribution, and more maintenance.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"how-to-set-up-analytics-for-a-saa-s-mvp\"><strong>How to Set Up Analytics for a SaaS MVP<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"576\" data-src=\"https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/product-analytics-vs-marketing-analytics-for-startups-1024x576.png\" alt=\"product analytics vs marketing analytics for startups\" class=\"wp-image-2900 lazyload\" data-srcset=\"https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/product-analytics-vs-marketing-analytics-for-startups-1024x576.png 1024w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/product-analytics-vs-marketing-analytics-for-startups-300x169.png 300w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/product-analytics-vs-marketing-analytics-for-startups-768x432.png 768w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/product-analytics-vs-marketing-analytics-for-startups-1536x864.png 1536w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/product-analytics-vs-marketing-analytics-for-startups-150x84.png 150w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/product-analytics-vs-marketing-analytics-for-startups.png 1672w\" data-sizes=\"(max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/576;\" \/><figcaption class=\"wp-element-caption\">product analytics vs marketing analytics for startups<\/figcaption><\/figure>\n\n\n\n<p>Analytics planning should begin with business questions, not a long list of events.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"step-1-define-the-core-outcome\"><strong>Step 1: Define the core outcome<\/strong><\/h3>\n\n\n\n<p>Identify the action that best represents a user receiving value from your product.<\/p>\n\n\n\n<p>For a scheduling application, this might be creating and sharing a first booking link. For an invoicing product, it might be sending the first invoice.<\/p>\n\n\n\n<p>The event should demonstrate substantial progress toward the user&#8217;s objec\u00adtive.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"step-2-create-a-minimal-event-tracking-plan\"><strong>Step 2: Create a minimal event-tracking plan<\/strong><\/h3>\n\n\n\n<p>A basic SaaS MVP might track the following events:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Event name<\/strong><\/td><td><strong>Purpose<\/strong><\/td><td><strong>Example properties<\/strong><\/td><\/tr><tr><td>sign_up_completed<\/td><td>Measure successful registration<\/td><td>Signup method, timestamp<\/td><\/tr><tr><td>onboarding_completed<\/td><td>Measure onboarding completion<\/td><td>Onboarding version<\/td><\/tr><tr><td>core_action_completed<\/td><td>Measure the product&#8217;s primary value action<\/td><td>Action type<\/td><\/tr><tr><td>teammate_invited<\/td><td>Measure collaboration adoption<\/td><td>Workspace ID<\/td><\/tr><tr><td>subscription_started<\/td><td>Measure paid conversion<\/td><td>Plan identifier<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>These are just some examples of event names, and you are not obliged to use them. Choose your event names and properties according to your product and analytics tool.&nbsp;<\/p>\n\n\n\n<p>Document all the events you track so that different people and teams understand what actions have been measured and how, preventing them from using different event tracking methods.<\/p>\n\n\n\n<p>In general, Google&#8217;s official GA4 Documentation contains information on how automatically collected, enhanced measurement, recommended, and custom events are processed.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"3-retainacquisition-information\"><strong>3<\/strong><strong>. <\/strong><strong>Retain<\/strong><strong> acquisition information<\/strong><\/h3>\n\n\n\n<p>Using the same campaign parameters, whenever possible, such as UTM source, medium, and campaign, is essential.<\/p>\n\n\n\n<p>For example, a newsletter link might identify the source as newsletter, the medium as email, and the campaign as product_launch.<\/p>\n\n\n\n<p>Ensure that campaign information survives the journey from the landing page to signup and subsequent product activity when your measurement design supports that connection.<\/p>\n\n\n\n<p>Test the actual implementation rather than assuming that a campaign tag will automatically be available in every downstream report.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"step-4-build-a-small-set-of-reports\"><strong>Step 4: Build a small set of reports<\/strong><\/h3>\n\n\n\n<p>Start with three views:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Acquisition:<\/strong> Visitors, sign-ups, and conversions by source.<\/li>\n\n\n\n<li><strong>Activation:<\/strong> The percentage of new users completing the core action.<\/li>\n\n\n\n<li>Retention: The percentage of activated users who return during a specific period.<\/li>\n<\/ol>\n\n\n\n<p>Add a trial-to-paid report if you have a trial or freemium-based business model.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"step-5-validate-the-data\"><strong>Step 5: Validate the data<\/strong><\/h3>\n\n\n\n<p>Before trusting the dashboard, make sure that<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>events are fired in response to the correct actions<\/li>\n\n\n\n<li>repetitive actions are not counted as new users<\/li>\n\n\n\n<li>and<\/li>\n\n\n\n<li>important properties are populated.<\/li>\n\n\n\n<li>Campaign parameters are recorded as expected.<\/li>\n\n\n\n<li>User\u2019s identity remains the same throughout all of the relevant sessions and devices.<\/li>\n\n\n\n<li>Test traffic and internal activity is treated appropriately.<\/li>\n<\/ul>\n\n\n\n<p>Poor tracking can ruin the appearance of a well-functioning dashboard.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"step-6-review-the-resultsand-make-recommendations\"><strong>Step 6: Review <\/strong><strong>the results<\/strong><strong> and <\/strong><strong>make recommendations<\/strong><\/h3>\n\n\n\n<p>Arrange a regular audit with the product and acquisition owners to discuss a particular case, investigate possible reasons, and determine subsequent testing steps.&nbsp; Record this decision to enable the team to assess later if the change was associated with improvement to the intended metric.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"analytics-costs-implementation-and-maintenance\"><strong>Analytics Costs, Implementation, and Maintenance<\/strong><\/h2>\n\n\n\n<p>There is no single price for product analytics or marketing analytics. Costs are determined by the selected software, the amount of data, required features, integrations needed, and the necessary amount of engineering or analyst time.<\/p>\n\n\n\n<p>These factors should be considered separately.<\/p>\n\n\n\n<p><strong>1. Software subscription<\/strong><\/p>\n\n\n\n<p>Research the terms and conditions, prices, data volumes, feature availability, retention periods, and limitations of the selected product.&nbsp;<\/p>\n\n\n\n<p>Don&#8217;t assume that a free tier supports every reporting or integration requirement.<\/p>\n\n\n\n<p><strong>2. Implementation<\/strong><\/p>\n\n\n\n<p>Initial work could involve event planning, instrumentation, campaign tagging, dashboard configuration, identity handling, and data validation.<\/p>\n\n\n\n<p>The scale depends on the complexity of the application and the need for events that weren&#8217;t previously instrumented.<\/p>\n\n\n\n<p><strong>3. Ongoing maintenance<\/strong><\/p>\n\n\n\n<p>Events may need updating when the product changes. Besides, it will be critical to investigate discrepancies, maintain dashboards, and update the definitions of metrics if business needs change.<\/p>\n\n\n\n<p><strong>4. Data and privacy requirements<\/strong><\/p>\n\n\n\n<p>It may require additional effort to design consent management, access control, retention, and other policies related to data privacy.<\/p>\n\n\n\n<p>Think about what minimal viable product can be for your start-up, and try to avoid extra expenses and complexity until you see a clear necessity.<\/p>\n\n\n\n<p>For founders planning the broader build budget, BkAbhi&#8217;s guide to<a href=\"https:\/\/bkabhi.com\/blog\/how-to-budget-for-a-saas-mvp\/\"> how to budget for a SaaS MVP<\/a> is a related resource. Its relevance here is project planning;Its relevance here is project planning; it should not be read as a price offered for analytics software.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"data-quality-privacy-and-measurement-limitations\"><strong>Data Quality, Privacy, and Measurement Limitations<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"577\" data-src=\"https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-definition-1024x577.png\" alt=\"gross domestic product definition\" class=\"wp-image-2901 lazyload\" data-srcset=\"https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-definition-1024x577.png 1024w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-definition-300x169.png 300w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-definition-768x432.png 768w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-definition-1536x865.png 1536w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-definition-150x84.png 150w, https:\/\/bkabhi.com\/blog\/wp-content\/uploads\/2026\/10\/gross-domestic-product-definition.png 1671w\" data-sizes=\"(max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/577;\" \/><figcaption class=\"wp-element-caption\">gross domestic product definition<\/figcaption><\/figure>\n\n\n\n<p>Analytics results are only as reliable as the collection and definitions behind them.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"attribution-is-not-proof-of-causation\"><strong>Attribution is not proof of causation<\/strong><\/h3>\n\n\n\n<p>An attribution model assigns credit to marketing interactions according to defined rules. Different models can assign different amounts of credit to the same customer journey.<\/p>\n\n\n\n<p>A campaign associated with more conversions isn&#8217;t necessarily the sole reason those conversions happened. Customers could have seen multiple messages or had prior intent before clicking on an ad.<\/p>\n\n\n\n<p>When possible, use controlled experiments plus other data to determine if a change in marketing drove improvement.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"more-to-the-point-productbehavior-isnt-everything\"><strong>More to the point<\/strong><strong>, <\/strong><strong>product<\/strong><strong> behavior <\/strong><strong>isn<\/strong><strong>&#8216;t everything.<\/strong><\/h3>\n\n\n\n<p>People that abandon the onboarding process could be confused, distracted, or considering alternatives, an event funnel doesn&#8217;t show you why a user stopped engaging unless you instrument it.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"collect-only-the-data-you-need\"><strong>Collect only the data you need<\/strong><\/h3>\n\n\n\n<p>Define appropriate data access, retention, and consent practices for your product and jurisdictions. Avoid collecting sensitive personal information unless it is necessary and properly handled.<\/p>\n\n\n\n<p>Review the relevant platform documentation and applicable privacy requirements before implementation.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"how-to-choose-the-right-analytics-approach\"><strong>How to Choose the Right Analytics Approach<\/strong><\/h2>\n\n\n\n<p>Use the business problem to determine your first priority.<\/p>\n\n\n\n<p><strong>Choose marketing analytics first if:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>You have a landing page but little visibility into acquisition sources.<\/li>\n\n\n\n<li>You are spending money on campaigns and cannot compare their performance.<\/li>\n\n\n\n<li>You need to understand how visitors move toward a lead or signup.<\/li>\n<\/ul>\n\n\n\n<p><strong>Choose product analytics first if:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>You already have users but don&#8217;t know where they abandon onboarding.<\/li>\n\n\n\n<li>Customers sign up but rarely complete the core action.<\/li>\n\n\n\n<li>You need to understand feature adoption or retention patterns.<\/li>\n<\/ul>\n\n\n\n<p><strong>Prioritize both if:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>You need to connect acquisition sources to activation and revenue.<\/li>\n\n\n\n<li>Different channels attract customers with different product behaviors.<\/li>\n\n\n\n<li>You are scaling acquisition and need to understand which users provide lasting value.<\/li>\n<\/ul>\n\n\n\n<p>For most SaaS startups, the longer-term objective is to connect these views. However, a startup with very little traffic or a product that has not launched may get more value from a simple validation process than from an elaborate analytics stack.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"where-product-development-fits\"><strong>Where product development fits<\/strong><\/h3>\n\n\n\n<p>Analytics implementation is part of product planning when a team needs custom events, application-level tracking, integrations, or dashboards.<\/p>\n\n\n\n<p>BkAbhi&#8217;s published company content lists SaaS application development, analytics dashboards, API integrations, and web and mobile development capabilities. Founders evaluating development support can review its <a href=\"https:\/\/bkabhi.com\/blog\/mvp-development-for-saas-startups\/\">SaaS MVP development guide<\/a> and determine whether its documented capabilities match their requirements.<\/p>\n\n\n\n<p>That is a potential implementation consideration, not a claim that hiring a development company is necessary for every startup.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"conclusion\"><strong>Conclusion<\/strong><\/h2>\n\n\n\n<p>Product analytics and marketing analytics answer different but connected questions.<\/p>\n\n\n\n<p>Marketing analytics can help you track the sources of your customers and measure the effectiveness of your acquisition efforts while product analytics can tell you if these customers are actually using the product and getting to its core value.<\/p>\n\n\n\n<p>It is essential to start with a small set of well-defined metrics, validate tracking, tie marketing campaigns to relevant product metrics, and then iterate and expand upon the initial setup.<\/p>\n\n\n\n<p>The point is to make better-informed decisions about customer acquisition, retention, and product development rather than gathering the most data possible and buying the most analytics tools available<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"author-bio\">Author Bio<\/h2>\n\n\n\n<p><strong>Jeevesh Tripathi<\/strong> writes research-based content about technology, AI, software, SaaS, and digital products. His work focuses on practical comparisons and evidence-based evaluation, helping founders and technology teams understand software decisions without unnecessary jargon.<\/p>\n\n\n\n<p>Email: <a href=\"mailto:jeevesh@bkabhi.com\">jeevesh@bkabhi.com<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A startup can attract thousands of website visitors without gaining many paying customers. It can also build a useful product [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":2895,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2894","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"_links":{"self":[{"href":"https:\/\/bkabhi.com\/blog\/wp-json\/wp\/v2\/posts\/2894","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bkabhi.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bkabhi.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bkabhi.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/bkabhi.com\/blog\/wp-json\/wp\/v2\/comments?post=2894"}],"version-history":[{"count":2,"href":"https:\/\/bkabhi.com\/blog\/wp-json\/wp\/v2\/posts\/2894\/revisions"}],"predecessor-version":[{"id":2902,"href":"https:\/\/bkabhi.com\/blog\/wp-json\/wp\/v2\/posts\/2894\/revisions\/2902"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/bkabhi.com\/blog\/wp-json\/wp\/v2\/media\/2895"}],"wp:attachment":[{"href":"https:\/\/bkabhi.com\/blog\/wp-json\/wp\/v2\/media?parent=2894"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bkabhi.com\/blog\/wp-json\/wp\/v2\/categories?post=2894"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bkabhi.com\/blog\/wp-json\/wp\/v2\/tags?post=2894"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}