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Master Pinterest Analytics to track performance, optimize your strategy & grow your audience. Learn key metrics, insights & actionable tips for success!
For any business looking to grow on Pinterest, analytics is the compass that guides your strategy. While a visually appealing profile and consistent pinning are essential, they are only effective if they are built on a foundation of data. Pinterest Analytics provides a powerful, real-time look into your performance, audience, and content, giving you the information you need to make informed decisions and drive business growth.
Pinterest Analytics is far more than a simple metric counter; it's a strategic tool for understanding your audience and the long-term impact of your content. A data-driven approach to Pinterest marketing is essential for several reasons:
Informed Content Strategy: Analytics helps you pinpoint exactly which types of Pins—whether they are videos, infographics, or static images—are resonating with your audience. By analyzing metrics like saves and clicks, you can identify patterns in design, topics, and keywords, enabling you to create more of what works and less of what doesn't.
Refined Audience Understanding: The dashboard provides a wealth of demographic and interest data about who is seeing and engaging with your content. This deep understanding of your audience allows you to tailor your messaging, imagery, and products to their specific needs and desires, making your brand feel more personal and relevant.
Measuring ROI and Campaign Effectiveness: For both organic and paid efforts, analytics provides the hard numbers you need to prove your return on investment (ROI). By tracking metrics like outbound clicks and conversions from your Pins, you can clearly see how Pinterest is contributing to your website traffic, lead generation, and sales. This data is critical for justifying your marketing budget and scaling successful campaigns.
Pinterest's analytics data is distinct from what you find on other social media platforms like Instagram or Facebook, primarily due to the unique user mindset and platform functionality.
Long-Term Longevity: Unlike content on platforms with chronological feeds where posts have a short lifespan, a Pin can continue to get impressions, saves, and clicks for months, or even years, after it's been published. Pinterest analytics captures this long-tail performance, so you can see which of your old Pins are still driving traffic today.
High User Intent: Pinterest is a visual search engine where users come with a specific intent to plan or shop. A user's activity is less about social interaction and more about finding ideas and products. This means metrics like outbound clicks and saves are often more valuable indicators of success than simple likes or comments, as they directly reflect a user's intent to take action.
Unbranded Search: A vast majority of searches on Pinterest are unbranded. Users are looking for "backyard patio ideas" or "wedding guest dress," not necessarily a specific brand. This presents a massive opportunity for businesses to be discovered by a new audience, and Pinterest Analytics helps you identify which unbranded keywords are driving traffic to your content.
To unlock the full power of Pinterest Analytics, you must have a Pinterest Business Account. A personal account provides only basic metrics, while a business account gives you a robust suite of tools for data analysis.
Creating a Business Account: You can either create a new business account from scratch or convert an existing personal account. Both are free and take only a few minutes. You'll be asked to provide your business name, a brief description, and your website.
Claiming Your Website: This is a crucial step for accessing the most valuable data. By claiming your website, you verify to Pinterest that you own your domain. This unlocks analytics for all Pins that people save from your website, whether you created them or a user did. This is an essential step for accurately measuring the full impact of your content on website traffic and conversions.
Once your business account is set up and your website is claimed, you can access the analytics dashboard by clicking on the Analytics menu in the top-left corner. The dashboard is divided into several key sections to help you navigate your data.
Overview: This section provides a high-level summary of your account's performance. You can see your total impressions, engagement, outbound clicks, and total audience for a given time period. This is your go-to page for a quick health check of your account.
Audience Insights: This is a treasure trove of information about the people interacting with your Pins. You can view your audience's demographics (age, gender, location), see a breakdown of their top interests, and compare your "Engaged Audience" to your "Total Audience." This information is invaluable for creating more targeted and relevant content.
Pin Performance: This report allows you to dive deep into the performance of individual Pins. You can sort by metrics like impressions, saves, or clicks to see which Pins are your all-stars. This is where you identify patterns and learn what type of creative and messaging is most effective for your audience.
Conversion Insights: This report is for businesses with the Pinterest Tag installed on their website. It shows you the conversions your Pins are driving on your site, allowing you to track sales, leads, and other valuable actions.
To build a truly data-driven strategy, you must first speak the language of Pinterest Analytics. The platform provides a rich set of metrics that go far beyond simple vanity numbers. By understanding what each one means and how they connect, you can diagnose your performance, identify opportunities, and make a clear case for your Pinterest marketing efforts.
These metrics give you a high-level view of your brand’s reach and influence on the platform. They tell you who you’re reaching and how engaged they are.
Monthly Viewers: This is the total number of people who have seen or engaged with your Pins in the past 30 days. It's a trailing, cumulative number that gives you a quick snapshot of your brand's reach and overall visibility on the platform. While it’s a good metric for top-of-funnel brand awareness, it doesn't represent unique users, as the same user can be counted multiple times if they see your Pins on different days.
Total Audience: This metric represents the total number of unique users who have seen your Pins. It's a more accurate measure of your brand's true reach compared to Monthly Viewers. A high total audience indicates that your content is being distributed widely to a new, diverse set of users.
Engaged Audience: The engaged audience is a subset of your total audience. This metric measures the total number of people who have actively engaged with your Pins, whether by saving, clicking, or commenting. This is a critical metric for understanding how much of your audience is not just seeing your content, but also finding it valuable enough to take action.
Follower Growth Rate: While followers are a less important metric on Pinterest than on platforms like Instagram, follower growth still indicates that your content is consistently attracting and retaining an audience. A steady follower growth rate suggests that your Pins are creating a strong community and building brand loyalty over time.
These metrics are essential for evaluating the success of individual Pins and informing your creative strategy.
Impressions vs. Reach: This is a key distinction to understand.
Impressions: The total number of times your Pin was displayed on a user’s screen. This counts every time the Pin is shown, even if the same user sees it multiple times. It’s a measure of visibility.
Reach: The number of unique users who saw your Pin. Each person is counted only once. This is a more accurate measure of the total number of people your content has touched.
Strategic Takeaway: If your Impressions are significantly higher than your Reach, it means your content is being shown repeatedly to the same audience. This can be a sign of a strong, focused campaign, but it may also suggest an opportunity to expand your audience.
Saves (Formerly Repins): A save is when a user adds your Pin to one of their own boards. This is arguably the most valuable engagement metric on Pinterest. A high number of saves indicates that your content is so inspiring or useful that a user wants to "bookmark" it for future reference. The more saves a Pin gets, the more Pinterest’s algorithm is likely to distribute it, giving it a longer lifespan and wider organic reach.
Close-ups: This metric counts the number of times a user clicks on your Pin to view it in more detail. A high number of close-ups is a strong indicator that your creative is compelling and has piqued a user's interest, even if they haven't yet clicked through to your website.
Link Clicks vs. Outbound Clicks: These two metrics often cause confusion, but the distinction is simple and vital for e-commerce.
Link Clicks: The total number of clicks on a Pin that take a user to a URL, both on and off Pinterest.
Outbound Clicks: The number of times a user clicks a link that takes them away from Pinterest to an external site (e.g., your website).
Strategic Takeaway: For e-commerce brands and content creators, outbound clicks are the most important metric. They directly measure the traffic your Pins are driving to your website, which is the primary goal for most businesses.
Conversion metrics are the ultimate measure of success for businesses focused on driving sales and leads. They provide a direct link between your Pinterest activities and your business's bottom line.
Pinterest Tag Implementation Guide: To track conversions, you must first install the Pinterest Tag on your website. This is a small piece of code that tracks user actions on your site. You can install it manually or through an integration with your e-commerce platform.
Go to Ads Manager: Navigate to the "Conversions" section in your Pinterest Ads Manager.
Create Pinterest Tag: Follow the steps to create your tag.
Install the Code: Copy the base code and paste it into the <head> section of your website’s code. For e-commerce platforms like Shopify, a dedicated app or integration can simplify this process.
Conversion Tracking Setup: Once the tag is installed, you can set up different "events" to track specific user actions.
Standard Events: Pinterest has a list of standard events like PageVisit, AddToCart, Checkout, and Lead that you can track.
Custom Events: You can also create custom events to track actions unique to your business.
ROAS Calculation: ROAS, or Return on Ad Spend, is a powerful metric that shows the profitability of your campaigns. It’s a simple calculation:
ROAS=(Total Revenue from Ads/Total Ad Spend)
For example, if you spend $100 on an ad campaign and it generates $400 in sales, your ROAS is 4.0. A ROAS above 1.0 indicates profitability.
Website Activity Reports: In your Pinterest Analytics dashboard, the "Conversion Insights" or "Website Activity" reports provide a detailed breakdown of the conversions your Pins are driving. You can see which Pins are leading to the most sales, the average order value from Pinterest traffic, and the customer journey from a user's initial interaction to their final conversion. This data is critical for scaling your most profitable campaigns.
Learn all about various strategies you need to grow your business in our Complete Pinterest Marketing Guide
A truly data-driven Pinterest strategy requires more than just a quick glance at your monthly viewers. The most successful businesses use a combination of Pinterest's native analytics and powerful third-party tools to create a holistic view of their performance. This section will guide you through a deep dive into the various tools at your disposal, helping you to extract actionable insights and inform your growth strategy.
The native analytics dashboard, accessible from your Business Account, is the foundational tool for understanding your performance. In 2025, Pinterest has continued to refine this dashboard to provide more granular, valuable data.
Profile Analytics: This is the top-level view of your account’s health. It provides a summary of your key metrics, including impressions, saves, and outbound clicks, over a chosen time period. You can filter this data by device, content type (e.g., video, image), and source.
How to Use it: Use this section for a quick check-in on your overall performance. Look for trends over time—are your impressions growing? Is your average CTR improving? This data can help you validate your overarching content strategy.
Audience Insights: This is a crucial section for understanding who your audience is and what they are interested in. Pinterest breaks down your audience by demographics (age, gender, location) and, most importantly, by their top interests and the categories they engage with.
How to Use it: Dive into the Audience Insights to discover new content opportunities. For example, if you sell home decor and see that your audience is highly interested in "sustainable living," you can create new Pins and ad campaigns that feature eco-friendly products to capture that specific intent.
Video Analytics: As video becomes a cornerstone of the Pinterest experience, the platform’s native video analytics have become more robust. This section provides detailed metrics on video views, including average watch time, 3-second views, and close-ups.
How to Use it: Video analytics are essential for optimizing your video strategy. A low average watch time suggests your video's hook isn't captivating enough, while a high number of 3-second views but low outbound clicks might indicate your video is engaging but lacks a compelling call-to-action to drive traffic.
Conversion Insights: This report is your direct link between Pinterest activity and business outcomes. With the Pinterest Tag correctly installed, this section shows you the conversions your Pins are driving on your website, including everything from checkouts to sign-ups.
How to Use it: Use this data to prove the value of your Pinterest efforts. You can attribute conversions to specific Pins, giving you a clear picture of which pieces of content are most profitable. This information is vital for scaling high-performing ads.
While native analytics provide a solid foundation, third-party tools offer enhanced scheduling, automation, and deeper reporting that can save you time and provide a competitive edge.
Tailwind Analytics Features: Tailwind is a leading social media management tool that is a must-have for serious Pinterest marketers. Its analytics dashboard provides a wealth of information not easily found in native analytics.
Features to Highlight:
Pin Inspector: This feature shows you the performance of all your Pins at a glance, allowing you to quickly identify your most popular and least popular content.
Board Insights: Tailwind helps you analyze the performance of individual boards, showing which are driving the most impressions, saves, and clicks. This is invaluable for curating and optimizing your boards.
Smart Scheduling: Using historical data, Tailwind recommends the best times to post for maximum engagement, taking the guesswork out of your pinning schedule.
Google Analytics Integration: Integrating Pinterest with Google Analytics provides a more holistic view of your website traffic. While Pinterest Analytics tells you about user behavior on the platform, Google Analytics shows you what they do after they click through.
How to Use it: You can see which Pins are driving the most traffic, track user behavior on your site (e.g., pages visited, time on page), and identify conversion paths that start on Pinterest.
UTM Tracking Best Practices: To seamlessly integrate Pinterest and Google Analytics, you must use UTM parameters. UTMs are small pieces of code you add to the end of your URLs to help Google Analytics identify the source of your traffic.
Best Practices for Pinterest:
Source: Always use utm_source=pinterest.
Medium: Use utm_medium=social for organic Pins and utm_medium=social_paid for paid ads.
Campaign: Use utm_campaign=product_launch or utm_campaign=summer_sale to specify the purpose of the campaign.
Content: Use utm_content=video_pin or utm_content=static_pin to differentiate your creative.
Consistency is Key: Use a consistent naming convention across your team to avoid data fragmentation and ensure accurate reporting.
Social Media Dashboards (Hootsuite, Sprout Social): For businesses managing multiple social media platforms, integrated dashboards like Hootsuite and Sprout Social provide a centralized place to monitor and report on all your channels.
How to Use them: These tools offer a unified analytics dashboard where you can see your Pinterest data alongside your performance on Instagram, Facebook, and Twitter. This allows you to quickly compare the performance of your marketing channels and identify cross-platform opportunities. They also offer advanced scheduling features and reporting automation, which is perfect for agencies and large brands.
Collecting data is the first step; interpreting it is where you find the strategic gold. Raw numbers on your dashboard are meaningless without context. This section will teach you how to analyze the data from your Pinterest Analytics and turn it into a clear, actionable plan for growth.
The "Top Performing Pins" report is one of the most valuable tools in your arsenal. It allows you to quickly identify your best content and replicate its success.
Top Performing Pins Report: This report shows a ranked list of your Pins based on a chosen metric (e.g., impressions, saves, outbound clicks). You can filter by date, device, and even by the type of content.
How to Interpret It: Look for patterns in your top Pins. What visual style do they share? What keywords and topics are present in their titles and descriptions? Are they all video Pins, or are some static images? The goal is to create a "success recipe" that you can use to inform your future content. For example, if all your top-performing Pins on a specific topic feature a certain color scheme or a direct call-to-action in the text overlay, you know to double down on those elements.
Pin Click-Through Rates (CTR): Your CTR is the percentage of people who saw your Pin and clicked on it. It’s calculated by dividing the total number of clicks by the number of impressions.
How to Interpret It: A high CTR indicates that your Pin's creative and messaging are highly compelling and relevant to your audience. A low CTR, even with high impressions, suggests that while your Pin is being shown to many people, it's not captivating enough to warrant a click. In this case, you should focus on improving the visual quality, text overlay, or call-to-action. Industry benchmarks vary, but a CTR between 0.2% and 0.5% is often considered a good starting point for organic Pins.
Save-to-Click Ratios: The ratio of how many times your Pin was saved compared to how many times it was clicked through to your website is an insightful metric that reveals user intent.
How to Interpret It:
High Saves, Low Clicks: This means your content is highly inspiring, and users want to save it for future reference, but it's not a strong enough call to action to drive them to your website right now. This is a great signal for brand awareness but may indicate that your landing page or the offer isn't clear enough.
High Clicks, Low Saves: This suggests your content is driving immediate action, but it's not seen as valuable evergreen content that users want to "bookmark." This is excellent for sales and traffic campaigns but may require you to create more "savable" content to build long-term brand equity.
The Audience Insights section is a powerful tool for developing a deep understanding of your customer base and identifying new markets.
Demographic Breakdowns: Here you can see a breakdown of your audience by age, gender, location, and language. This is crucial for confirming whether you are reaching your target demographic.
How to Interpret It: Use this data to validate or adjust your targeting for both organic and paid efforts. For example, if you believe your target audience is women in their 30s but your analytics show your engaged audience is primarily men in their 20s, you can either adjust your content to appeal to your intended audience or pivot to serve the audience that is already engaging with your brand.
Interest Mapping: This report shows you what your audience is most interested in based on the topics and categories they browse on Pinterest.
How to Interpret It: Interest mapping is invaluable for content and product development. If your audience is highly interested in "sustainable fashion" or "home organization," you can create new Pins, blog posts, and products around those topics. This allows you to stay ahead of trends and create content that your audience is already actively searching for.
Device Usage Data: This data shows what devices (mobile, desktop, tablet) your audience uses to interact with your Pins.
How to Interpret It: Given that over 80% of Pinterest traffic is on mobile, this data is critical for ensuring your content and website are mobile-friendly. A high percentage of mobile usage means your Pins must be optimized for vertical display, with large, clear text overlays, and your website must offer a seamless mobile user experience to prevent a high bounce rate.
This is where you connect your on-platform efforts to off-platform business results. These reports prove the value of Pinterest beyond impressions and saves.
Website Referral Reports: When properly set up, your website's analytics (e.g., Google Analytics) will show you how much traffic is coming from Pinterest.
How to Interpret It: Look at the traffic, not just in terms of volume, but also in terms of quality. Is Pinterest traffic staying on your site longer than traffic from other sources? Is the conversion rate higher? This data helps you determine the quality of the audience Pinterest is sending you.
Landing Page Performance: Analyze which of your landing pages perform best for Pinterest traffic. Are users from a specific Pin abandoning a certain landing page?
How to Interpret It: If a landing page has a high bounce rate for Pinterest traffic, it likely means the page isn't meeting the user's expectations after clicking your Pin. Ensure the content and offer on your landing page are a direct, seamless extension of the Pin itself.
Sales Attribution Models: To truly understand the impact of Pinterest on your sales, you need to understand attribution. Pinterest's native attribution model shows you how many conversions can be credited to your Pins.
How to Interpret It: Most businesses use a "last-click" attribution model, but Pinterest plays a major role in the initial stages of a user's purchase journey. You may find that while a user's final click came from Google Search, a Pin they saw three weeks ago was the initial inspiration that led to the purchase. Pinterest's Conversion Insights reports help you understand the full-funnel impact, from inspiration to conversion.
Pinterest Analytics is not just a reporting tool; it is a workshop for building and refining your marketing strategy. By moving beyond passive data observation and implementing actionable strategies, you can transform your analytics insights into a powerful engine for content optimization, audience growth, and campaign performance.
The performance of your content is the single most important factor for success on Pinterest. Using analytics, you can continuously improve your creative strategy to produce Pins that your audience loves.
Identifying High-Performing Pin Formats: Use your "Top Performing Pins" report to filter by different Pin formats, such as static images, videos, and Idea Pins. In 2025, Pinterest continues to favor vertical, high-quality images with a 2:3 aspect ratio (1000px by 1500px). Analyze your top performers to see what visual styles, text overlays, and color palettes are most effective. If your video Pins have a higher click-through rate, you should prioritize creating more video content. If your most viral Pins are static images, double down on that format.
Optimal Posting Times Analysis: While there are general best practices for posting times, your specific audience is unique. Navigate to your Audience Insights and Profile Analytics to find out when your engaged audience is most active. Use this data to schedule your Pins to go live during these peak times. For example, a home decor brand might find that their audience is most active on Sundays in the evening, as they're planning for the week, while a fitness brand might find their audience is most active on Monday mornings.
Hashtag Performance Review: Although Pinterest is a visual search engine, hashtags are still a valuable tool for content discovery. While there is no native report specifically for hashtags, you can track their performance manually and with third-party tools. Use a consistent set of hashtags across a campaign, and then review the impressions and saves for those Pins to see if the hashtags helped them get discovered. Avoid generic, overused hashtags and focus on a mix of popular and niche-relevant tags to reach a targeted audience.
Understanding your audience is the key to expanding it. Analytics provides the clues you need to find new users who are most likely to become engaged followers and customers.
Follower Acquisition Sources: Go to your Profile Analytics and review the "follower growth" report. While the metric itself is not a primary driver of success, a closer look at what your followers are saving and clicking can reveal patterns. To find new followers, analyze the interests of your existing audience in Audience Insights. Then, create Pins that combine your brand's core offerings with these related interests to capture new users who are exploring those topics.
Audience Interest Expansion: Pinterest's Audience Insights shows you not only what your engaged audience is interested in, but also what the total Pinterest audience is interested in. This is a powerful tool for discovering new niches. For example, if you sell home goods and notice a high interest in "sustainable living," you can create content about how to live a more sustainable life using your products. This strategy helps you expand your brand's reach by tapping into adjacent interests that are already popular on the platform.
Competitor Audience Analysis: While you can't see your competitors' private analytics, you can conduct a manual competitive analysis by examining their profiles, boards, and the type of content that gets the most engagement. Pay attention to the keywords they are using and the visual themes they employ. Use a third-party tool like Tailwind to track your competitors' top-performing Pins and then use those insights to inform your own content strategy and fill in any content gaps.
For advertisers, a data-driven approach to campaign management is non-negotiable. Analytics provides the insights you need to optimize your paid efforts and maximize your return on ad spend (ROAS).
Ad vs. Organic Performance Comparison: A key strategy is to use your organic content as a testing ground for your ads. Use your native analytics to identify your top-performing organic Pins—those with high saves and outbound clicks. These Pins have already proven their ability to resonate with your audience. You can then use these top-performing Pins as ad creative for your paid campaigns. This significantly reduces the risk of creating a low-performing ad from scratch.
Budget Allocation Recommendations: In your Conversion Insights report, identify which campaigns and Pins are driving the most conversions and have the highest ROAS. Allocate more of your budget to these top-performing campaigns. Similarly, for campaigns with a lower ROAS, consider reducing the budget or pausing them altogether. A common mistake is to spread a budget too thinly across too many campaigns. Analytics helps you consolidate your budget into a few high-performing campaigns for better results.
Creative Testing Insights: Running A/B tests is a best practice for any ad campaign. Use your analytics to compare two different versions of a Pin, changing only one variable at a time (e.g., the text overlay, the image, the call-to-action). Use the Conversion Insights report to see which creative variation led to a higher conversion rate. You can also analyze metrics like click-through rate and saves to determine which creative is more engaging. Continually using these insights to refine your creative will lead to more efficient and profitable ad campaigns.
While the core metrics of Pinterest Analytics provide a strong foundation, true strategic advantage comes from implementing advanced analytics techniques. These methods allow you to move beyond surface-level reporting to gain a deeper, more holistic understanding of your brand's performance, predict future trends, and justify your Pinterest investment within your broader marketing ecosystem.
Standard dashboards are great for a quick overview, but custom reporting allows you to create a data view tailored to your specific business goals. This is essential for agencies and in-house teams who need to report on a wide variety of key performance indicators (KPIs).
Exporting Data to Spreadsheets: Pinterest's native analytics dashboard allows you to export all your raw data as a CSV file. This is the first step in custom reporting. By pulling this data into a spreadsheet program like Google Sheets or Microsoft Excel, you can manipulate it to your heart's content. You can run custom formulas, pivot tables, and create personalized graphs that highlight specific metrics that matter to you, such as the performance of a specific board or the engagement rate of a certain type of Pin.
Creating Custom Dashboards: For a more automated and visually appealing solution, custom dashboards are invaluable. Tools like ReportGarden or a custom dashboard built in Looker Studio (formerly Google Data Studio) can connect directly to your Pinterest data via an API. This allows you to create a single, unified dashboard that automatically updates with the latest data. You can then display a mix of Pinterest metrics alongside data from other platforms like Google Analytics, providing a high-level view of your performance without having to manually pull reports.
Automated Reporting Tools: To save time on a weekly or monthly basis, automated reporting tools like Tailwind, Sprout Social, or ReportGarden can do the heavy lifting for you. These tools are designed to pull data from your Pinterest account and automatically generate and send polished reports to your team or clients on a set schedule. This frees you up to focus on interpreting the data and building strategy rather than on the tedious task of compiling numbers.
The forward-thinking nature of Pinterest users makes the platform an ideal environment for predictive analytics. You can use historical and real-time data to anticipate trends and plan your content accordingly.
Trend Forecasting: Pinterest Predicts is the platform's annual trend report, and it has an impressive 80% historical accuracy rate. By analyzing billions of user searches, the report identifies emerging trends before they go mainstream. Marketers can use this report to get a head start on their content and product strategy for the coming year. For example, if "Motoboho style" is predicted to be a top trend for 2025, a fashion brand can create Pins and ads around this theme months in advance, positioning themselves as a trend leader.
Seasonal Content Planning: By looking at your historical data in Pinterest Analytics, you can identify seasonal spikes and lulls in your audience's interests and behavior. For instance, a food brand may see a surge in searches for "easy weeknight dinners" in September, while a travel brand may see an increase in "summer vacation ideas" in January. Use this data to create a content calendar that strategically aligns your Pins and ad campaigns with your audience's planning cycle.
Performance Projections: Using past campaign performance as a guide, you can project the potential performance of future campaigns. By analyzing metrics like click-through rate (CTR), cost-per-click (CPC), and return on ad spend (ROAS) from your previous campaigns, you can create a realistic forecast for a new ad campaign. This is crucial for setting expectations with stakeholders and making a compelling case for your budget.
A brand's online presence is rarely limited to a single channel. To accurately measure the value of Pinterest, you must understand its role in your broader marketing mix.
Pinterest vs. Other Social Channels: The role of Pinterest in the customer journey is often different from other platforms. A user on Pinterest is typically in a discovery and planning mindset, making it an excellent top-of-funnel tool for brand awareness and traffic. In contrast, a user on Instagram might be more focused on social interaction and direct purchases. By comparing the performance of your content on different platforms using unified dashboards, you can identify which channels are best for which stage of the customer journey. For example, Pinterest may have a lower conversion rate than Google Search, but its cost-per-click may be significantly lower, making it a more efficient channel for driving top-of-funnel traffic.
Multi-Touch Attribution: Traditional last-click attribution models often fail to recognize Pinterest's true value, as a user may have seen a Pin weeks before making a purchase from another source. A multi-touch attribution model, on the other hand, gives credit to every touchpoint in the customer journey, from the first time a user saw your Pin to their final click. Using a robust attribution solution can reveal that Pinterest is a powerful driver of conversions, even if it's not always the final click. As seen in a case study with maternity brand Seraphine, multi-touch attribution revealed that last-click reporting was only capturing 3% of their Pinterest-driven conversions.
Integrated Marketing Reports: The goal of cross-platform analysis is to create an integrated report that tells a cohesive story. This report should include data from all your marketing channels, including social media, paid ads, email marketing, and search engine optimization (SEO). By combining this data, you can see how Pinterest is contributing to overall business goals, identify which channels work well together, and allocate your budget more effectively for a holistic, data-driven marketing strategy.
The true power of Pinterest Analytics lies in its ability to be tailored to specific business models. While the core metrics remain the same, their interpretation and application differ greatly depending on your industry. This section will explore how e-commerce brands, content creators, and local businesses can leverage analytics to their unique advantage.
For e-commerce brands, Pinterest is a powerful visual shopping engine. The focus of analytics in this vertical is to connect Pin activity directly to sales and revenue.
Product Pin Performance: E-commerce businesses should regularly audit the performance of their individual Product Pins. In your native analytics dashboard, filter your report to view only Product Pins. Look for Pins with a high outbound click-through rate (CTR) and a high number of saves. A Pin that is both getting clicks and being saved is a golden asset—it’s driving immediate traffic while also building long-term inspiration and brand awareness. Use these top-performing Pins as templates for new creative and consider promoting them with Shopping Ads.
Shopping Query Reports: While Pinterest doesn't provide a public report of all shopping queries, you can gain similar insights by leveraging your data. In your Conversion Insights report, you can analyze which keywords and topics are associated with the Pins that are driving the most conversions. You can also use the Pinterest Trends tool to see what shopping-related terms are on the rise in your category. This data is invaluable for optimizing your product listings and Pin descriptions to capture high-intent shoppers.
Catalog Sales Tracking: The most important task for an e-commerce brand is to ensure your entire product catalog is synced with Pinterest. With a properly installed Pinterest Tag, you can use the Conversion Insights report to track not just clicks and saves, but also key events like AddToCart, Checkout, and Purchase. This allows you to directly attribute sales and calculate your return on ad spend (ROAS) from your Shopping Ads, providing a clear picture of Pinterest's financial impact on your business.
For bloggers and publishers, the goal is often to drive traffic to articles, grow an audience, and generate leads. Pinterest is a top source of evergreen traffic, and analytics helps you capitalize on this.
Top Converting Blog Pins: Use your native analytics to identify which Pins are driving the most outbound clicks to your website. Once you've identified your top-performing Pins, analyze their creative and messaging. What topics are they about? What are their titles and descriptions? By identifying these patterns, you can create more Pins that drive traffic. For a deeper analysis, use UTM parameters in your Pin URLs to track these clicks in Google Analytics and see which Pins lead to the highest average time on page or the lowest bounce rate.
Content Upgrade Performance: Many publishers use content upgrades (e.g., downloadable checklists, e-books) to build their email list. To measure the performance of these Pins, you must set up conversion tracking. In your Pinterest Ads Manager, you can create a custom conversion event for "lead" or "email signup." Once this is set up, you can see exactly which Pins are most effective at driving email subscribers, allowing you to focus on promoting those high-performing assets.
Email Signup Tracking: Beyond the Pinterest Ads Manager, you can use a combination of UTM tracking and your email marketing platform's analytics. When a user signs up for your newsletter after clicking a Pinterest Pin, your email platform can often tell you the source of that signup. This provides a direct, measurable link between your Pin and your list growth, allowing you to confidently say which Pins are most valuable for your business.
For a local business, Pinterest analytics can be used to attract customers from your area, build a community, and drive foot traffic.
Geographic Performance Data: Your Audience Insights dashboard provides a detailed breakdown of your audience by country, state, and city. This data is critical for ensuring your content is reaching the right people. For a local coffee shop, seeing a high concentration of followers in a neighboring city could be an opportunity to create content that highlights nearby attractions or partner with a local influencer to attract new customers. For local ad campaigns, use geo-targeting to serve your Pins only to users within your service area.
Store Visit Tracking: For local businesses running ad campaigns, Pinterest offers a "Store Visits" campaign objective. This advanced feature uses location data to measure the number of people who saw your ad and then visited your physical store. This is the ultimate metric for proving a direct link between your digital marketing efforts and in-person foot traffic. This allows a restaurant, for example, to see how many people came in for lunch after seeing a promotional Pin.
Local Search Insights: The content on Pinterest is often driven by local and regional trends. By using a combination of your own analytics and manual search on the platform, you can find out what people in your area are looking for. For a local wedding planner, a search on Pinterest might reveal popular local venues or seasonal trends for a specific city. You can then use these insights to create highly localized content that resonates with your community and positions you as the go-to expert in your area.
Even with the best tools and a solid strategy, marketers will inevitably encounter challenges in the world of data. Understanding these common roadblocks and how to troubleshoot them is essential for maintaining the integrity of your analytics and ensuring your decisions are based on accurate information.
It is a near-universal frustration for marketers: the numbers don't match. Data from Pinterest's native analytics often differs from what you see in Google Analytics or other third-party tools. This is not necessarily an error, but a result of fundamental differences in how each platform collects and attributes data.
Attribution Windows: Each platform uses a different attribution window, which is the amount of time after an ad view or click that a conversion can be credited to that platform. For example, Pinterest's default attribution windows might be a 30-day click and a 1-day view, while Google Analytics uses a different window. A user might see a Pin, get inspired, and come back to your website a week later via a direct search. Pinterest's analytics may credit the initial Pin for the conversion, while Google Analytics, using a "last-click" model, will attribute the sale to direct traffic.
Tracking Methodologies: Pinterest and Google Analytics use different methods to track users. Pinterest relies on its own platform data and the Pinterest Tag, which is primarily focused on user behavior within its ecosystem. Google Analytics uses its own JavaScript snippet and tracking cookies to follow users across your website. These different methodologies can lead to variances in how traffic and conversions are counted.
User Behavior: The user's journey is rarely linear. A single customer may interact with your brand on multiple platforms before converting. This multi-touch journey is a primary cause of discrepancies, as each platform claims some credit for the conversion. The key is to understand the role each platform plays, rather than expecting the numbers to align perfectly.
A significant portion of analytics challenges can be traced back to a faulty or incomplete tracking setup. Here’s how to troubleshoot some common issues.
The Pinterest Tag is Not Firing: The most common issue is that the Pinterest Tag is not properly installed or is blocked from firing. Use the Pinterest Tag Helper, a browser extension, to check if the tag is installed correctly on your website. This tool can tell you if the base code is present and if conversion events (e.g., PageVisit, Checkout) are firing on the correct pages.
Conversion Events Are Not Working: If the base tag is firing but conversion events are not, there may be a logic error in your code. Ensure that your event codes are placed correctly on the appropriate pages (e.g., the Checkout event should only be on the confirmation page). For e-commerce platforms like Shopify or WooCommerce, ensure you are using the official Pinterest app or integration, which automatically manages these events for you.
Data Discrepancies in Ad Campaigns: If your ad data is not aligning with your website's analytics, a common culprit is inconsistent attribution settings. Ensure that the attribution window in your Pinterest Ads Manager matches the attribution model you are using in your other reporting. This can help to minimize some of the reporting variance.
Since Apple's App Tracking Transparency (ATT) framework, the digital advertising landscape has changed. While not as heavily impacted as some other platforms, Pinterest has had to adapt, and advertisers must be aware of the implications.
Limited Retargeting: The ATT framework gives users the option to opt out of being tracked across apps and websites. When a user opts out, it limits the amount of data Pinterest can collect about their off-platform behavior. This has a direct impact on the size and effectiveness of your retargeting audiences, as Pinterest has less information to use for creating these segments.
Conversion Data Modeling: In response to the reduced data, Pinterest has increasingly relied on data modeling to fill in the gaps. This means some of your conversion data is not based on direct user observation but is a statistical estimate based on the behavior of similar users who have opted in. This makes understanding the nuances of your data even more critical, and reinforces the need to have a clear understanding of your ROAS and overall campaign profitability.
Conversions API (CAPI): To mitigate the impact of these changes, Pinterest, like other platforms, has a Conversions API (CAPI). The CAPI allows you to send conversion event data directly from your server to Pinterest, bypassing the limitations of browser-based tracking. This provides a more secure and reliable method for tracking conversions and is an essential tool for any advertiser serious about accurate reporting in 2025.
Bot traffic is a persistent problem that can skew your analytics and make it difficult to get an accurate read on your true audience engagement.
Signs of Bot Traffic: The most common signs of bot traffic are unusually high impression and click numbers with a very low engagement rate (saves, close-ups, outbound clicks). You might also see strange patterns like a high volume of traffic from a single geographic location with an extremely high bounce rate on your website.
Filtering with Google Analytics: The most effective way to identify and filter out bot traffic is by using your Google Analytics data. Google Analytics has a built-in bot filtering feature that can exclude all hits from known bots and spiders. You can also analyze your traffic by technology and network provider to find any suspicious IP addresses or network domains that are driving a high volume of traffic with no user engagement.
Using Automated Tools: Advanced analytics and security tools can help you identify and block bot traffic before it ever reaches your website. Services like Cloudflare offer bot protection as part of their suite of tools, which can help ensure that the data you are collecting is from real, human users, giving you a cleaner and more accurate view of your Pinterest performance.
The evolution of Pinterest Analytics is a direct reflection of the platform's growth from a social network to a visual discovery and shopping engine. Looking to the future, AI and machine learning are poised to drive the next generation of analytics, offering deeper insights and more powerful predictive capabilities.
AI-Powered Insights: In 2025 and beyond, AI will move beyond simple data aggregation to provide truly intelligent, actionable insights. Pinterest’s AI recommendation model, which already generates 400 million predictions per second to personalize a user's feed, is being leveraged to provide smarter analytics. This means the platform will be able to tell you not just what Pins are performing best, but why they are performing best, providing a breakdown of the creative elements, keywords, and audience segments that are driving success.
Predictive Performance Tools: The future of analytics is predictive, not just retrospective. Pinterest is expected to roll out more advanced tools that can forecast the performance of your content and ad campaigns. Using historical data and machine learning, these tools will be able to project a Pin's potential for saves and outbound clicks, allowing you to optimize your content before you even publish it. This will also extend to ad campaigns, where you can predict the potential ROAS of a campaign based on its creative and targeting settings, enabling more confident budget allocation.
Enhanced Conversion Tracking: In an age of data privacy and the ongoing impact of iOS 14+, server-side tracking via the Conversions API (CAPI) will become the standard. Pinterest will continue to enhance its CAPI, making it easier for businesses to send conversion data directly from their servers, bypassing browser-based tracking limitations. This will lead to more accurate and reliable data, providing a more complete picture of your return on ad spend and the true value of your Pinterest traffic.
Integration with Marketing Clouds: As Pinterest solidifies its place in the marketing funnel, seamless integration with major marketing clouds (e.g., Salesforce Marketing Cloud, HubSpot) will become essential. These integrations will allow businesses to sync their customer data directly with Pinterest to create highly targeted custom audiences and retargeting segments. It will also enable marketers to view Pinterest data within their unified marketing dashboards, providing a holistic view of the customer journey across all channels.
Mastering Pinterest Analytics is an ongoing process. To continue your education and stay ahead of the curve, here are some essential resources and next steps to take.
Use this checklist to ensure you are getting the most out of your Pinterest data on a regular basis.
Daily/Weekly:
[ ] Check your Profile Analytics for new top-performing Pins.
[ ] Review impressions and outbound clicks for your newest Pins.
[ ] Check for any spikes or dips in activity and investigate the cause.
Monthly:
[ ] Analyze your Audience Insights for shifts in demographics or interests.
[ ] Review your Top Performing Pins for patterns in creative, topics, and keywords.
[ ] Evaluate your Pin’s click-through rate (CTR) and save-to-click ratio to refine your content strategy.
[ ] If running ads, check your Conversion Insights to calculate your monthly ROAS.
Quarterly:
[ ] Conduct a full audit of your account, including board organization and keyword optimization.
[ ] Review your seasonal content and update your content calendar for the next quarter.
[ ] Compare your Pinterest performance against your other social channels to understand its role in your broader marketing mix.
[ ] Use your data to create a high-level report for your stakeholders or clients.
Pinterest Business Blog: The official source for all new features, best practices, and case studies. This is the first place you should look for the latest information.
Pinterest Academy: A free learning platform with tactical, in-depth training on everything from creating a business profile to running effective ad campaigns.
Tailwind Blog: A leading third-party tool for Pinterest, their blog provides a wealth of actionable guides, checklists, and data-driven insights.
Official Pinterest Certifications: Pinterest offers various certifications to help you showcase your expertise. The Pinterest Certified Analytics exam is a specialized credential for marketers who want to prove their proficiency in data analysis and strategy.
Impressions: The number of times your Pin was shown on a screen.
Outbound Clicks: The number of times a user clicked a link to go to your website.
Saves: The number of times a user saved your Pin to one of their boards.
Engaged Audience: The total number of unique users who have saved, clicked, or commented on your Pins.
Click-Through Rate (CTR): The percentage of people who saw your Pin and clicked on it.
Attribution Window: The period of time after an ad click or view in which a conversion can be credited to that ad.
ROAS: Return on Ad Spend. A profitability metric calculated by dividing total revenue from ads by total ad spend.
UTM Parameters: Tags added to a URL to track the source, medium, and campaign of your website traffic.
Pinterest Tag: A piece of code installed on your website to track user behavior and conversions.
For those who want to validate their skills, the Pinterest Certified Analytics exam is a great way to do so. This exam is designed for experienced professionals and covers topics from core metrics and data interpretation to advanced campaign analysis and troubleshooting. Earning this credential not only demonstrates your expertise but also positions you as a data-driven authority in the Pinterest marketing space.