diff --git a/docs.json b/docs.json
index 47593271..ed257913 100644
--- a/docs.json
+++ b/docs.json
@@ -37,6 +37,7 @@
                   "getting-started-guide/learn-about-axiom",
                   "getting-started-guide/event-data",
                   "getting-started-guide/observability",
+                  "getting-started-guide/product-analytics",
                   "getting-started-guide/feature-states",
                   "getting-started-guide/glossary"
                 ]
diff --git a/getting-started-guide/event-data.mdx b/getting-started-guide/event-data.mdx
index 8692f6e1..dda3f2d2 100644
--- a/getting-started-guide/event-data.mdx
+++ b/getting-started-guide/event-data.mdx
@@ -19,7 +19,6 @@ Each event is simply a structured record—composed of key-value pairs—that ca
 Event data, understood as the atomic unit of digital activity, is the lifeblood of modern businesses. Leveraging the power of event data is essential in the following areas, among others:
 
 - [Observability](/getting-started-guide/observability)
-- Security
-- Product analytics
-- Business intelligence
-- AI and machine learning
\ No newline at end of file
+- AI
+- [Product analytics](/getting-started-guide/product-analytics)
+- Business intelligence
\ No newline at end of file
diff --git a/getting-started-guide/learn-about-axiom.mdx b/getting-started-guide/learn-about-axiom.mdx
index cc4d88f7..ea7f331f 100644
--- a/getting-started-guide/learn-about-axiom.mdx
+++ b/getting-started-guide/learn-about-axiom.mdx
@@ -20,6 +20,13 @@ Learn about the fundamentals of timestamped event data in Axiom
 Learn about how Axiom helps you leverage timestamped event data for observability purposes
 </Card>
 
+<Card
+  title="Axiom for product analytics"
+  href="/getting-started-guide/product-analytics"
+>
+Learn about how Axiom helps you leverage timestamped event data for product analytics purposes
+</Card>
+
 <Card
   title="Glossary"
   href="/getting-started-guide/glossary"
diff --git a/getting-started-guide/observability.mdx b/getting-started-guide/observability.mdx
index f6fe712f..899bb7e1 100644
--- a/getting-started-guide/observability.mdx
+++ b/getting-started-guide/observability.mdx
@@ -54,4 +54,4 @@ Axiom’s support for metrics data currently comes with the following limitation
 - Axiom doesn’t support pre-aggregated metrics such as scrape samples.
 - Axiom isn’t optimized for high-dimensional metric time series with a very large number of metric/label combinations.
 
-Support for these types of metrics data is coming soon in the first half of 2025.
\ No newline at end of file
+Support for these types of metrics data is coming soon. If you’re interested, [contact Axiom](https://axiom.co/contact).
\ No newline at end of file
diff --git a/getting-started-guide/product-analytics.mdx b/getting-started-guide/product-analytics.mdx
new file mode 100644
index 00000000..c91167d7
--- /dev/null
+++ b/getting-started-guide/product-analytics.mdx
@@ -0,0 +1,44 @@
+---
+title: "Axiom for product analytics"
+description: "This page explains how Axiom helps you leverage timestamped event data for product analytics purposes."
+sidebarTitle: Product analytics
+---
+
+Axiom helps you leverage the power of timestamped event data. Axiom believes that event data reflects a broad range of interactions, crossing boundaries from engineering to product management, security, and beyond. For a more general explanation of event data in Axiom, see [Events](/getting-started-guide/event-data).
+
+This page explains how you can leverage the power of event data for the product analytics use case.
+
+In product analytics, the ability to harness and interpret data effectively can determine the success of a product. Axiom offers a new approach to product analytics by leveraging the power of timestamped event data. This unique capability enables organizations to gain actionable insights, optimize user experiences, and drive product innovation.
+
+## Why event data matters in product analytics
+
+Event data captures the actions and interactions users have with a product over time. From button clicks and page views to error events and feature usage, every timestamped event tells a story about user behavior. Axiom’s platform is specifically designed to process and analyze these granular datasets, making it an indispensable tool for product teams aiming to do the following:
+
+- **Understand user behavior:** By tracking and analyzing event streams, Axiom provides a clear picture of how users engage with your product.
+- **Identify trends and patterns:** Time-series analysis reveals emerging trends, helping teams anticipate user needs and adjust strategies proactively.
+- **Optimize product features:** Pinpoint which features drive the most value and identify friction points that need improvement.
+
+## Key features of Axiom for product analytics
+
+The following key features make Axiom perfect for product analytics:
+
+- **Real-time event monitoring:** Axiom’s ability to ingest and process data in real-time means you can monitor user activity as it happens. This empowers product managers to act quickly in response to anomalies or unexpected usage patterns, reducing downtime and improving user satisfaction.
+- **Unified data platform:** Axiom eliminates data silos by integrating event data from diverse sources into a single, cohesive platform. Whether your data originates from web applications, mobile apps, or third-party tools, Axiom ensures seamless access and analysis.
+- **Advanced query capabilities:** With a robust query language, Axiom enables product teams to dive deep into data analysis. Perform detailed segmentation, drill down into specific user journeys, and uncover insights that would otherwise remain hidden.
+- **Custom dashboards and visualizations:** Intuitive dashboards and customizable visualizations make it easy for product managers to communicate insights to stakeholders. Axiom’s visual tools enhance collaboration and decision-making.
+- **Scalable infrastructure:** As your product grows, so does the volume of event data. Axiom’s architecture is built to scale effortlessly, ensuring that your analytics remain robust and reliable, even with massive datasets.
+
+## Enhance product analytics with Axiom
+
+Axiom helps you make the most of your event data in the following product analytics use cases, among others:
+
+- **Feature adoption analysis:** Understand how new features are adopted by users and identify which aspects require improvement to maximize engagement.
+- **Retention and churn analysis:** Leverage event data to identify patterns in user retention and predict potential churn, enabling proactive interventions.
+- **Funnel optimization:** Analyze user journeys through critical funnels, such as sign-ups or purchases, to pinpoint drop-off points and optimize conversion rates.
+- **A/B testing:** Compare user interactions across different test groups to validate hypotheses and make data-driven decisions.
+
+## Why choose Axiom for product analytics
+
+Axiom’s focus on timestamped event data makes it perfect for product analytics. By crossing boundaries from engineering to product management and security, Axiom empowers cross-functional teams to collaborate effectively. Its comprehensive feature set ensures that organizations can unlock the full potential of their data, driving smarter decisions and fostering innovation.
+
+In competitive markets, understanding your users is paramount. With Axiom, you gain a trusted partner in turning event data into actionable insights that propel your product to new heights. Experience the future of product analytics with Axiom and transform how you build, analyze, and optimize your product.
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