--- title: Marketing metrics recipes description: Recreate common marketing metrics using Event Segmentation and User Sessions charts. product: analytics token_estimate: 4045 --- # Marketing metrics recipes > For AI agents: a documentation index is available at [/docs/llms.txt](/docs/llms.txt). Append `.md` to any page URL for markdown, or send `Accept: text/markdown`. This article provides recipes to recreate common marketing metrics, such as session totals, bounce rate, and page views, using [Event Segmentation](https://amplitude.com/docs/analytics/charts/event-segmentation/event-segmentation-build) or [User Sessions](https://amplitude.com/docs/analytics/charts/user-sessions/user-sessions-track-engagement-frequency) charts. Each recipe lists the module setup you need to build one metric. > **Note:** See also > > To combine event and session metrics in one chart, including hybrid formulas such as _Revenue per Session_, try [Metric Explorer (Beta)](https://amplitude.com/docs/analytics/charts/metric-explorer/metric-explorer-build). Before you start, read the basics of [building charts in Amplitude](https://amplitude.com/docs/analytics/charts/build-charts-add-events). Some recipes in this article use custom formulas, which the [custom formula metrics, syntax, and definitions](https://amplitude.com/docs/analytics/charts/event-segmentation/event-segmentation-custom-formulas) article explains. ## Metric recipes The examples in this section provide a starting point for setting up each metric. As with other analyses, use filters, group-bys, or segmentation to refine results. | | | | | --- | --- | --- | | [Session totals](#session-totals) | [Visitors](#visitors) | [Sessions per user](#sessions-per-user) | | [Average session duration](#average-session-duration) | [Page views](#page-views) | [Page views per session](#page-views-per-session) | | [Bounce rate](#bounce-rate) | [Entry rate](#entry-rate) | [Exit rate](#exit-rate) | > **Note:** > > You can also apply the setup instructions for session totals, visitors, page views, bounce rate, entry rate, and exit rate to [Data Tables](https://amplitude.com/docs/analytics/charts/data-tables/data-tables-multi-dimensional-analysis) analyses. ### Session totals The session totals metric provides a sum of sessions. Use the following setup for each module in your User Sessions chart to create the session totals metric: - **Sessions**: `Count` sessions for all sessions. To filter results by a specific domain or URL: - Click _Filter by_ and choose `Contains Event`. Search for the `Page Viewed` event. Set the count to greater than or equal to one. - Click the Filter to add a where clause for your `Page URL`. - **Measured as**: `Total Sessions`. - **Segmented by**: All users. ### Visitors The visitors metric counts unique users who trigger a specific event. Use the following setup for each module in your Event Segmentation chart to create the visitors metric: - **Events**: `Page View`. To filter results by a specific domain or URL: - Click _Filter by_ and choose `Page URL`. Select the checkbox next to your domain and click _Apply_. - **Measured as**: `Uniques`. - **Segmented by**: All users. ### Sessions per user The sessions per user metric gives an average count of sessions by unique user. Use the following setup for each module in your User Sessions chart to create the sessions per user metric: - **Sessions**: `Count` sessions for all sessions. To filter results by a specific domain or URL: - Click _Filter by_ and choose `Contains Event`. Search for the `Page Viewed` event. Set the count to greater than or equal to one. - Click Filter to add a where clause for your `Page URL`. - **Measured as**: `Avg Per User`. - **Segmented by**: All users. ### Average session duration The average session duration metric gives an average length of sessions. Use the following setup for each module in your User Sessions chart to create the average session duration metric: - **Sessions**: `Count` sessions for all sessions. To filter results by a specific domain or URL: - Click _Filter by_ and choose `Contains Event`. Search for your `Page View` event. Set the count to greater than or equal to one. - Click Filter to add a where clause for your `Page URL`. - **Measured as**: `Avg length` (counting in days, hours, minutes). - **Segmented by**: All users. ### Page views The page views metric gives a sum of page views events. Use the following setup for each module in your Event Segmentation chart to create the page views metric: - **Events**: `Page View`. To filter results by a specific domain or URL: - Click _Filter by_ and choose `Page URL`. Select the checkbox next to your domain and click _Apply_. - **Measured as**: `Event Totals`. - **Segmented by**: All users. ### Page views per session The page views per session metric gives an average count of `Page View` events per session. Use the following setup for each module in your User Sessions chart to create the page views per session metric: - **Sessions**: `Count` events performed within sessions for all sessions. - `By Event Count` of the `Page View` event. To filter results by a specific domain or URL: - Click _Filter by_ and choose `Contains Event`. Search for the `Page Viewed` event. Set the count to greater than or equal to one. - Click Filter to add a where clause for your `Page URL`. - **Measured as**: `Avg events per session`. - **Segmented by**: All users. ### Bounce rate The bounce rate metric compares the count of sessions with a single `Page View` event to the total number of sessions, as a percentage. Use the following setup for each module in your User Sessions chart to create the bounce rate metric: - **Sessions**: `Count` sessions. - A: All sessions. - where `Contains Event` = `Page Viewed` with a count of one. - B: All sessions. To filter results by a specific domain or URL of each session: - Click _Filter by_ and choose `Contains Event` for session B. Search for the `Page Viewed` event. Set the count to greater than or equal to one for session B. - Click Filter to add a where clause for your `Page URL` for sessions A and B. - **Measured as**: Formula `%:SESSIONTOTALS(A)/SESSIONTOTALS(B)`. - **Segmented by**: All users. This User Sessions chart calculates the 30-day bounce rate for the `Page URL` ampli.com/home. The bounce rate for March 4th was 97.3 percent. **Figure: 30-day bounce rate for ampli.com/home** The bounce rate for ampli.com/home hovers in the low-to-high 90s across the month, reaching 97.3% on March 4. Line chart. X axis: Date. Y axis: Bounce rate. All Users: values from 2026-03-21 onward cover an incomplete period and render dashed. | Date | All Users | | --- | --- | | 2026-02-21 | 96.9 | | 2026-02-22 | 98.1 | | 2026-02-23 | 96.7 | | 2026-02-24 | 97 | | 2026-02-25 | 97.6 | | 2026-02-26 | 98.2 | | 2026-02-27 | 97.4 | | 2026-02-28 | 90.2 | | 2026-03-01 | 98 | | 2026-03-02 | 97.3 | | 2026-03-03 | 93 | | 2026-03-04 | 97.3 | | 2026-03-05 | 91.2 | | 2026-03-06 | 96.8 | | 2026-03-07 | 97.6 | | 2026-03-08 | 96.9 | | 2026-03-09 | 95.4 | | 2026-03-10 | 97.1 | | 2026-03-11 | 97.3 | | 2026-03-12 | 96.6 | | 2026-03-13 | 96.6 | | 2026-03-14 | 96 | | 2026-03-15 | 98.2 | | 2026-03-16 | 95.9 | | 2026-03-17 | 93.1 | | 2026-03-18 | 96 | | 2026-03-19 | 97.5 | | 2026-03-20 | 89.9 | | 2026-03-21 | 95 | | 2026-03-22 | 98 | The chart plots the daily bounce rate for ampli.com/home over 30 days, where bounce rate is the share of sessions that contain exactly one `Page View`. The line stays in the low-to-high 90s all month and peaks at 97.3 percent on March 4, so almost every session that reaches this page views only that page and leaves. A rate this high and this flat flags a landing page worth investigating. The dashed tail marks the most recent day, whose data is still provisional. ### Entry rate The entry rate metric compares sessions with a `Page View` event grouped by the **first property value** of the specified event property to the total number of sessions, as a percentage. Use the following setup for each module in your User Sessions chart to create the entry rate metric: - **Sessions**: `Count` sessions. - A: All sessions. - Grouped by the `First Property Value` of the `Page View` event property `Page Title`. - B: All sessions. To filter results by a specific domain or URL of sessions A and B: - Click _Filter by_ and choose `Contains Event`. Search for the `Page Viewed` event. Set the count to greater than or equal to one. - Click Filter to add a where clause for your `Page URL`. - **Measured as**: Formula `%:SESSIONTOTALS(A)/SESSIONTOTALS(B)`. - **Segmented by**: All users. This User Sessions chart calculates the 30-day entry rate for the `Page URL` ampli.com/home. The chart's group-by property value `Page Title` appears as different colored lines in the chart. The entry rate for March 3rd was 35.5 percent for the `Home` property value. **Figure: 30-day entry rate by page for ampli.com/home** Entry rate by page title for ampli.com/home. Home leads at about 30–40% throughout, reaching 35.5% on March 3; the other five page titles sit lower, mostly between 8% and 20%. Line chart. X axis: Date. Y axis: Entry rate. Home, Log In, Protein, Support, Sign Up, Produce: values from 2026-03-21 onward cover an incomplete period and render dashed. | Date | Home | Log In | Protein | Support | Sign Up | Produce | | --- | --- | --- | --- | --- | --- | --- | | 2026-02-21 | 33.5 | 13.5 | 14.2 | 10.5 | 11.2 | 16 | | 2026-02-22 | 33.4 | 15.4 | 16.1 | 14 | 10 | 11 | | 2026-02-23 | 38.2 | 14.1 | 15.5 | 11.5 | 9.5 | 12.5 | | 2026-02-24 | 39.7 | 14.9 | 14 | 10 | 4 | 14 | | 2026-02-25 | 32 | 12.5 | 13.2 | 14.8 | 12 | 13.5 | | 2026-02-26 | 36 | 15 | 15 | 9.5 | 10.5 | 12 | | 2026-02-27 | 38.6 | 13.8 | 16.8 | 10.2 | 8 | 14.5 | | 2026-02-28 | 32.3 | 14.5 | 12 | 8 | 9.5 | 13 | | 2026-03-01 | 36.3 | 15.2 | 15.5 | 9.5 | 11.5 | 12.5 | | 2026-03-02 | 35.4 | 14.8 | 16 | 10.5 | 10 | 11.5 | | 2026-03-03 | 35.5 | 15 | 16.2 | 10 | 9.8 | 12 | | 2026-03-04 | 33 | 15.4 | 16.1 | 11.5 | 10.5 | 13.5 | | 2026-03-05 | 34.9 | 14.1 | 16.5 | 10.8 | 9 | 14 | | 2026-03-06 | 36.2 | 14.9 | 15.9 | 9.5 | 8.5 | 13.5 | | 2026-03-07 | 35.4 | 12.5 | 17 | 11 | 10 | 12 | | 2026-03-08 | 36.1 | 25.7 | 12 | 10.5 | 7 | 11.5 | | 2026-03-09 | 31 | 12.7 | 11.4 | 8.5 | 9.5 | 12.5 | | 2026-03-10 | 35 | 16.4 | 15.4 | 12 | 10.5 | 13 | | 2026-03-11 | 35.8 | 16.5 | 12.8 | 10.5 | 9 | 14.5 | | 2026-03-12 | 34.9 | 14.9 | 13.6 | 9.8 | 11 | 13.5 | | 2026-03-13 | 35.8 | 16.4 | 15.4 | 11.2 | 10.2 | 12 | | 2026-03-14 | 35 | 15.7 | 15.7 | 10 | 9.5 | 12.5 | | 2026-03-15 | 30 | 14.7 | 20.6 | 9.5 | 8.8 | 12 | | 2026-03-16 | 28.3 | 16.4 | 18.2 | 8.8 | 10 | 13 | | 2026-03-17 | 33 | 15.9 | 15 | 10 | 11.5 | 14 | | 2026-03-18 | 35.5 | 14.8 | 14.5 | 11.5 | 9.5 | 20.5 | | 2026-03-19 | 34.8 | 15.5 | 16 | 10.2 | 10 | 15 | | 2026-03-20 | 34.1 | 14.2 | 15.2 | 9.5 | 8.5 | 13.5 | | 2026-03-21 | 36.5 | 15 | 14.8 | 10.8 | 9.8 | 12.5 | | 2026-03-22 | 37 | 14.5 | 15.5 | 10 | 10.5 | 13 | Each line shows the entry rate for one page title, meaning the share of sessions that begin on that page. `Home` leads throughout at roughly 30 to 40 percent, reaching 35.5 percent on March 3, while the other five page titles sit well below it. Read together, the lines confirm that `Home` is where most sessions start. ### Exit rate The exit rate metric compares sessions with a `Page View` event grouped by the **last property value** of the specified event property to the total number of sessions, as a percentage. Use the following setup for each module in your User Sessions chart to create the exit rate metric: - **Sessions**: `Count` sessions. - A: All sessions. - Grouped by the `Last Property Value` of the `Page View` event property `Page Title`. - B: All sessions. To filter results by a specific domain or URL of sessions A and B: - Click _Filter by_ and choose `Contains Event`. Search for the `Page Viewed` event. Set the count to greater than or equal to one. - Click Filter to add a where clause for your `Page URL`. - **Measured as**: Formula `%:SESSIONTOTALS(A)/SESSIONTOTALS(B)`. - **Segmented by**: All users. This User Sessions chart calculates the 30-day exit rate for the `Page URL` ampli.com/home. The chart's group-by property value `Page Title` appears as different colored lines in the chart. The exit rate for March 4th was 16.1 percent for the `Log In` property value. **Figure: 30-day exit rate by page for ampli.com/home** Exit rate by page title for ampli.com/home. Home leads at about 30–40% throughout; Log In sits around 15–18% and is 16.1% on March 4, with the remaining page titles mostly between 6% and 20%. Line chart. X axis: Date. Y axis: Exit rate. Home, Log In, Protein, Support, Sign Up, Produce: values from 2026-03-21 onward cover an incomplete period and render dashed. | Date | Home | Log In | Protein | Support | Sign Up | Produce | | --- | --- | --- | --- | --- | --- | --- | | 2026-02-21 | 34 | 16 | 14 | 10.5 | 9.5 | 12 | | 2026-02-22 | 33 | 15.8 | 15.5 | 11.5 | 11 | 10.5 | | 2026-02-23 | 38.5 | 14.5 | 19.8 | 9.5 | 8 | 11.5 | | 2026-02-24 | 39 | 16 | 16 | 10 | 4.5 | 12 | | 2026-02-25 | 34 | 15.2 | 13.5 | 13 | 10 | 10 | | 2026-02-26 | 39.8 | 15.9 | 15 | 9.5 | 11.5 | 11.5 | | 2026-02-27 | 32.5 | 16.5 | 14.5 | 11 | 9.5 | 12.5 | | 2026-02-28 | 36 | 14.8 | 13 | 8.5 | 8.5 | 10 | | 2026-03-01 | 38 | 15.5 | 15.5 | 10.5 | 10 | 11 | | 2026-03-02 | 36.5 | 16.2 | 16 | 11 | 11 | 12 | | 2026-03-03 | 36 | 15.8 | 14.5 | 10 | 9.5 | 10.5 | | 2026-03-04 | 35.5 | 16.1 | 15 | 11.5 | 10.5 | 11.5 | | 2026-03-05 | 34.5 | 15.5 | 16.5 | 10.5 | 9 | 12 | | 2026-03-06 | 36.5 | 16.8 | 14 | 9.5 | 8.5 | 10.5 | | 2026-03-07 | 38.5 | 15 | 13.5 | 11 | 10.5 | 11 | | 2026-03-08 | 34 | 16.2 | 15 | 10 | 11 | 9.5 | | 2026-03-09 | 33 | 13.8 | 12.5 | 8.5 | 6.5 | 10.5 | | 2026-03-10 | 36 | 15.9 | 15.5 | 11.5 | 9.5 | 11 | | 2026-03-11 | 35 | 15.9 | 16.7 | 10.5 | 10 | 10.5 | | 2026-03-12 | 35.1 | 16.9 | 13.8 | 9.8 | 11.5 | 11.5 | | 2026-03-13 | 35.4 | 15.9 | 14.6 | 11 | 9.5 | 10 | | 2026-03-14 | 37.7 | 15.2 | 14.7 | 10.5 | 10 | 11 | | 2026-03-15 | 36.9 | 15.9 | 15 | 9.5 | 8.5 | 10.5 | | 2026-03-16 | 28.2 | 17.1 | 19.4 | 12 | 9.5 | 9.5 | | 2026-03-17 | 27.7 | 18.2 | 20.1 | 11.5 | 11 | 11 | | 2026-03-18 | 34.1 | 16.2 | 13.7 | 10 | 6 | 12 | | 2026-03-19 | 36.1 | 15.3 | 13.5 | 9.5 | 10.5 | 10.5 | | 2026-03-20 | 34.8 | 18.7 | 14.9 | 11 | 9 | 9 | | 2026-03-21 | 34.8 | 17 | 15.4 | 10.5 | 10 | 11.5 | | 2026-03-22 | 37.6 | 13.3 | 17.7 | 10 | 9.5 | 10 | Each line shows the exit rate for one page title, meaning the share of sessions that end on that page. `Home` carries the highest exit share, while `Log In` sits around 15 to 18 percent and reaches 16.1 percent on March 4. Compare a page's entry rate against its exit rate to see where sessions start versus where they drop off: a page that ranks high in both, like `Home`, both opens and closes many sessions. ## Performance marketing metrics Amplitude supports several common performance marketing metrics. [Create these metrics](https://amplitude.com/docs/analytics/charts/data-tables/data-tables-create-metric#create-and-configure-a-new-metric) by following the recipes in this section. ### Ad network clicks - Metric type: `Formula`. - Event: `Daily ad metric`. - Grouped by: `ad_metrics.clicks`. - Formula: `PROPSUM(A)`. ### Ad network impressions - Metric type: `Formula`. - Event: `Daily ad metric`. - Grouped by: `ad_metrics.impressions`. - Formula: `PROPSUM(A)`. ### Ad network costs - Metric type: `Formula`. - Event: `Daily ad metric`. - Grouped by: `ad_metrics.costs`. - Formula: `PROPSUM(A)`. ### Return on ad spending - Metric type: `Formula`. - Event A: `Complete purchase`. - Grouped by: `Revenue`. - Event B: `Daily ad metric`. - Grouped by: `ad_metrics.cost`. - Formula: %: `PROPSUM(A) / PROPSUM(B)`. ### Customer acquisition cost - Metric type: `Formula`. - Event A: `Daily ad metric`. - Grouped by: `ad_metrics.cost`. - Event B: `User Sign Up`. - Formula: $: `PROPSUM(A) / TOTALS(B)`. ### Clickthrough rate - Metric type: `Formula`. - Event A: `Daily ad metric`. - Grouped by: `ad_metrics.impressions`. - Event B: `Daily ad metric`. - Grouped by: `ad_metrics.clicks`. - Formula: %: `PROPSUM(A) / PROPSUM(B)`.