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Metric Explorer

Metric Explorer tracks metrics over time and breaks them down by property or segment. Each series on the chart is its own metric: an event, a session metric, a formula, or a saved metric. Each metric has its own measurement, filters, group-bys, and smoothing. One chart can show unique sign-ups, purchase totals, revenue, sessions, and bounce rate together, each counted on its own terms.

Amplitude opens every new chart in Metric Explorer. Use Metric Explorer to count and compare events, to measure visits, and to relate the two. For conversion through a sequence of steps, use Funnel Analysis. For whether users come back, use Retention Analysis. For the paths users take, use Journeys.

If you know Event Segmentation or User Sessions, you know the building blocks: events, Measured as, segments, group-bys, formulas, and Microscope. In Metric Explorer you set them per metric instead of once for the chart. For a side-by-side mapping and the in-place upgrade, go to Move from Event Segmentation or User Sessions.

What you can analyze in one chart

Events, each with its own measurement

  • Mixed measurements: Unique users of Sign Up, event totals of Purchase, and the sum of revenue on one chart.
  • Filters and group-bys per metric: Group Purchase by product category while Sign Up stays a single line.
  • Smoothing per metric: A 7-day rolling average on a noisy series while the other series stay raw.
  • Revenue measurements: Revenue and Average Revenue per Active User are built in, next to property sum, average, median, min, max, percentile, and distribution.
  • Formulas next to metrics: Click fx to combine metrics with arithmetic, then use Save as Metric to reuse a formula in other charts and Data Tables.

Session metrics as series of their own

  • Several session metrics on one chart: Total sessions, bounce rate, and average session duration together, each with its own filters.
  • Sessions defined by what happened in them: Count sessions that contained an Add to Cart, or sessions with three or more product views and no purchase, with [Amplitude] Contains Event filters.

Events and sessions in the same analysis

  • Side by side: Add-to-carts and sessions on one chart. When you add a percentage or duration metric to count metrics, Amplitude moves the percentage or duration metric to a right Y-axis.
  • Hybrid formulas: Conversions per session, revenue per session, or pages per visit, from an event metric and a session metric.
  • Visits broken down by how they started: Sessions that include a purchase, grouped by the landing page or channel that started each visit.

These combinations answer questions that a single kind of metric can't. If unique page views go up, pages per session and total sessions show whether visits got deeper or more frequent. A user who converts five times in one session shows different intent from a user who converts five times across ten sessions. Teams used to visit-based reports, for example from Adobe Analytics or Google Analytics 4, get session metrics next to event metrics in the same chart.

How a Metric Explorer chart works

The left rail has two blocks:

  • Metrics: The list of series on the chart, up to 10 events or metrics plus formulas. Each item has a letter (A, B, C) that formulas use to refer to it.
  • Segment by: The users to include. Each segment applies to every metric, and several segments compare populations side by side.

Each metric is one of four types:

Each metric carries its own settings:

  • Measured as: How Amplitude counts the metric. For the options and the question each one answers, go to Choose the right measurement.
  • Filters: Conditions on the metric's events or sessions, from + Filter by.
  • Group-bys: Up to 5 properties that split the metric into one series per value, from + Group-by.
  • Advanced measurement: Cumulative, Rolling Average, or Rolling Window on an event metric, from the metric's ⋮ menu.

Build your first chart

  1. Click Create and choose Chart. Amplitude opens Metric Explorer, which prompts you to choose up to 10 events or metrics.
  2. In the Metrics block, click + Add and select an event, for example Sign Up. Amplitude measures it as Unique Users and draws the chart.
  3. To change how Amplitude counts the metric, open Measured as on the metric and pick a measurement, for example Event Totals.
  4. Click + Add again and add a second metric, for example Purchase, then set its Measured as to Revenue and pick the revenue property. The first metric keeps its own measurement.
  5. To split a metric by a property, click + Group-by on that metric and choose a property, for example platform.
  6. In the Segment by block, add conditions to choose who to include, or leave it empty to include all users. To compare populations, add a second segment.
  7. Set the date range and interval, for example daily over the last 30 days.
  8. Choose a visualization, such as Line chart, Bar chart, or KPI.
  9. Click Save.

To add a session metric, select an event and choose a measurement from the Session group in Measured as, such as Total Sessions. Amplitude counts the sessions that contain that event. To count all sessions, select [Amplitude] Any Active Event. Session metrics need session tracking in your project. For setup and session concepts, go to Analyze sessions.

Metric Explorer topics

Work through these topics in order, or go straight to the job you need:

  1. Choose the right measurement: Match each event, revenue, and session measurement to the question it answers.
  2. Analyze sessions: Measure visits, filter sessions by what happened in them, and read bounce, entry, and exit rates.
  3. Group, filter, and segment metrics: Narrow each metric, break it down by property, group sessions by entry or exit, and compare segments.
  4. Write formulas: Combine metrics with arithmetic, including hybrid formulas across events and sessions, and save them as metrics.
  5. Read and customize your chart: Choose a visualization, use the breakdown table and takeaways, and set up axes.
  6. Run advanced analysis: Add cumulative and rolling measurements, period comparisons, anomaly detection, and forecasts.
  7. Explore a data point with Microscope: See the users behind a point, watch their sessions, and turn them into a cohort.
  8. Metric Explorer use cases: Follow worked examples for events, sessions, and both together.
  9. Move from Event Segmentation or User Sessions: Map familiar workflows and upgrade existing charts in place.
  10. Metric Explorer FAQ: Find answers to common questions.

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