Groveman Analytics Mixpanel

AnalyticsTree for groveman_analytics that sends events to Mixpanel.

Usage

First, configure Mixpanel Flutter, see the documentation.

Add it in your pubspec.yaml:

dependencies:
  groveman_analytics:
  groveman_analytics_mixpanel:
  mixpanel_flutter:

Import it where you want to use it e.g, in your main file.

import 'package:groveman_analytics/groveman_analytics.dart';
import 'package:groveman_analytics_mixpanel/groveman_analytics_mixpanel.dart';

Initialize and plant the tree on start of your application.

Future<void> main() async {
  WidgetsFlutterBinding.ensureInitialized();

  final mixpanel = await Mixpanel.init(
    'YOUR_MIXPANEL_TOKEN',
    trackAutomaticEvents: true,
  );

  GrovemanAnalytics.plantTree(MixpanelTree(mixpanel));
  runApp(const MyApp());
}

Define your events and start tracking:

class PurchaseCompletedEvent extends AnalyticsEvent {
  PurchaseCompletedEvent(this.value);

  final double value;

  @override
  String get eventName => 'purchase_completed';

  @override
  Map<String, dynamic>? get properties => {'value': value};
}

await GrovemanAnalytics.track(PurchaseCompletedEvent(99.9));

API mapping

AnalyticsTree	Mixpanel
track(event)	track(eventName, properties)
identify(userId, properties)	identify(userId) + getPeople().set(key, value)
setSuperProperties(properties)	registerSuperProperties(properties)
clearSuperProperties()	clearSuperProperties()
enable()	optInTracking()
disable()	optOutTracking()
reset()	reset()

Super properties

Properties automatically attached to every event sent to Mixpanel.

await GrovemanAnalytics.setSuperProperties({
  'app_version': '1.0.0',
  'environment': 'production',
});

User identification

await GrovemanAnalytics.identify(
  'user_123',
  properties: {'plan': 'pro'},
);

User properties are set via getPeople().set in Mixpanel.

Data Collection

// User declined consent — stops all data collection
await GrovemanAnalytics.disable();

// User accepted consent — resumes data collection
await GrovemanAnalytics.enable();

📝 License

Copyright © 2026 Kauê Martins.
This project is MIT licensed.