Usage data with no story
Connect event counts to the sessions and feedback that explain them.
Product event tracking
Event tracking software that connects usage to the full journey
Capture the actions that matter, measure feature usage and active users, and link every event to replay, funnels, and feedback.
Problems it solves
Built for teams that want usage data with the story behind it
Slow, code-heavy instrumentation
Combine autocapture with custom events so you ship tracking fast.
Events trapped in one report
Use the same events for funnels, custom event counts, and replay triage.
Workflow
How PulsePanda turns analytics into product decisions
Capture events
Use autocapture and custom events to track key actions.
Measure what matters
See feature usage, active users, and retention over time.
Connect the evidence
Jump from an event to the session replay behind it.
Capture
Four ways an event gets into PulsePanda
Start with what the script records on its own, then name the actions that matter.
| Autocapture | Page views, clicks, form inputs, rage clicks and JavaScript errors are recorded as soon as the script loads, with no code. Every click keeps the element’s id, classes and text, plus its data-* and aria-* attributes, so it can be named later. |
|---|---|
| Defined event (no code) | Name a click without touching your code: match autocaptured clicks by element ID, CSS class, text, data attribute, tag or a full CSS selector, and combine conditions when one is not enough. The definition applies to clicks already recorded, and the editor shows how many matching clicks it finds before you save. |
| Tracked event (code) | Send a named event from your code with PulsePanda.track("plan_upgraded", { plan: "pro" }), with up to 25 properties per event. Calls made before the script has loaded are queued, and calls made before the visitor’s consent decision are held until it is made. |
| Google Tag Manager dataLayer | Already pushing events to the dataLayer? Add data-datalayer="true" to the script tag and those events arrive as tracked events, with nested values flattened into properties. Pass a comma-separated list of event names instead of true to keep only those. Fields that look like contact details are dropped. |
No-code events
Event tracking without code, using data attributes
Matching a click by its text is the quickest way to name it, and the most fragile: the event stops matching the day someone rewrites the button label, and it never matches the translated version of the page. A data attribute survives both.
- Add an attribute to the element you care about:
<button data-track="signup">Start free</button>. Anydata-*name works, because the script records every one on each click. - In PulsePanda, define an event with a Data Attribute condition such as
data-track="signup". The value is matched exactly, ignoring case, and a baredata-trackmatches any value. - Use it like any other event: as a funnel step, or as a filter on the event list, where every row opens the session replay it came from.
Definitions run over clicks that were already recorded, so an event defined today by ID or class also counts last month’s clicks. A data attribute added today matches clicks from today on, since older clicks were recorded without it.
What you get
Connected analytics capabilities in one workspace
| Events | Custom events and autocapture in one SDK. |
|---|---|
| Metrics | Feature usage and DAU, WAU, and MAU trends. |
| Context | Events linked to replay and funnels. |
What to track
Choosing and naming the events that matter
Autocapture means you never start from zero, but a list of every click is not a measurement plan. Name the handful of actions that mark real progress: signed up, created a first project, invited a teammate, upgraded. Most products need ten to twenty named events, not two hundred.
Name them as an object and a past-tense action (project_created, plan_upgraded), keep one spelling, and put variations in properties rather than in new event names. What event tracking is, and which events are worth tracking covers naming in more depth.
Then put the events to work: an activation funnel built from them shows the step where new users stall, and the replays behind each drop-off show why.
FAQ
Questions teams ask before switching
What is product event tracking?
Product event tracking records the actions users take in your product so teams can measure feature usage, active users, and retention.
Do I have to define every event manually?
No. PulsePanda combines autocapture with custom events, so you can start fast and add detail where you need it.
How do events connect to the rest of PulsePanda?
Events power funnels and replay triage, and every event links to the session replay it came from.
FAQ
Event tracking questions
What is event tracking software?
Software that records the actions people take on your site or in your product, such as clicks, signups and upgrades, as named events you can count, use as funnel steps and filter by. PulsePanda combines autocaptured events, events you define from recorded clicks, and events you send from code.
Can I track events without writing code?
Yes. Clicks are captured automatically, and you can turn any of them into a named event by matching its ID, class, text, data attribute, tag or CSS selector. A data-* attribute on the element is the most robust option, because it survives copy changes and translations.
Do new event definitions work on past data?
Yes. A defined event matches clicks that were already recorded, so a funnel built today can use earlier visits. Events sent with PulsePanda.track() exist only from the moment you add the call.
Can I send properties with an event?
Yes. PulsePanda.track() takes an event name and up to 25 properties, each a string, number, boolean or null. Strings are capped at 255 characters.
Does PulsePanda work with Google Tag Manager?
Yes. You can add the script through Google Tag Manager, and with data-datalayer="true" on the script tag the events you already push to the dataLayer are recorded as tracked events.
Related pages
Explore the rest of the PulsePanda analytics stack
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