Game Data Analytics Service

Data-Driven Decision Making Starts Here

From event-based analytics to user segments, funnels, and retention —
get all the insights you need for game operations in one place.

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AU, NU Summary AU 1,099 ▲ 75% NU 692 ▲ 1,093% PU, IAP Revenue Summary PU 120 ▼ 6.25% IAP Revenue 86,071,172 ▲ 19.46% AU, NU, PU Trend AU NU PU IAP Revenue Trend 03/06 03/10 03/14 03/18
60+
Built-in Events
MMP
Data Analysis with
MMP Integration
Real-time
Event Data
Collection & Analysis
What Makes Us Different

No developer needed for analytics

Hive Analytics is designed so anyone can work with data.

Analyze Without SQL

Create the metrics and dashboards you need using just the UI, without writing complex queries. Data analysis is no longer exclusive to the dev team.

Instant Use Without Log Definitions

Data is automatically collected based on events, so you can start analyzing right away without defining separate log schemas.

Manage KPIs in One Place

Define your company's key metrics centrally, and when criteria change, all connected charts and dashboards update automatically.

Core Features

Analytics, Easier and Faster

Create chart, funnel, and retention analyses intuitively, and share them with your team via dashboards.

Dashboard

→

Combine charts, funnels, and retention into a single page to build an analytics hub shareable with the whole team

Team Collaboration

User Activity Tracking

→

Query individual user event data to compare and analyze behavior patterns

Behavior Analysis

Metrics

→

Define common metrics centrally and auto-reflect across all charts and dashboards

Metric Consistency

Charts

→

Filter and group events and metrics to visualize in various formats

Event Aggregation

Funnel

→

Analyze step-by-step conversion and drop-off to identify problem areas instantly

Conversion Analysis

Retention

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Track cohort-based user return rates to gain retention insights

Cohort Analysis
Users

Understand exactly who
is churning and why

Combine 40+ built-in attributes with custom events to segment users precisely, and track activity patterns to detect anomalies early.

  • Select targeted campaign audiences with segments (Hive push & promotion integration)
  • Compare abuser and high-spender behavior patterns with user activity tracking
  • View metrics by 6 user classification types: whale, dolphin, light, free, etc.
User Classification Status
Whale Users2.1%
Dolphin Users8.4%
Middle Users19.3%
Free Users53.7%
Data

Your data,
your way

Define events and metrics directly, integrate with third-party tools like MMPs, or export raw data to AWS S3 or GCP GCS for flexible use.

  • Define new events and manage properties
  • Unified analysis with MMP integration — no platform switching
  • Export raw event data to cloud storage
Data Integration Status
📡
MMP IntegrationAppsFlyer · Adjust · Airbridge
Connected
☁️
Data ExportAWS S3 · GCP GCS
Configured
Last ExportToday 04:00 AM
Done · 2.4 GB
Insights

Practical Data Insights for Game Operations

Explore operational challenges and workflows covered by Hive Analytics. Read the full article on Hive Analytics Blog.
Template

Building Game Analysis Content Quickly with Templates

Starting an analysis from scratch means deciding metrics, dimensions, and events every time. Hive Analytics templates load ready-made dashboard, chart, funnel, and retention setups so you only adjust what you need.

  • Selecting a template loads a setup screen with dashboard, chart, funnel, or retention fields pre-filled
  • Every panel, measure, and dimension stays editable after you apply it
Organization Management

Managing Data Access Scope by Assigned Project

Organizations running multiple games need different data access depending on each member's role. Hive Analytics' organization management groups projects and members by organization so admins can match access scope to responsibility, and adjust it easily when the person in charge changes.

  • Group projects and members by organization to set data access to match each role
  • Reassigning members updates access permissions without changing the project setup
Chart

Viewing a Game Metric's Composition by the Basis You Choose

Overall numbers alone don't show which date or dimension shaped a change. Switch the pie chart's ratio basis between date and dimension, then narrow the legend to compare just the items you care about.

  • Breaking down by country or OS narrows in on where a share grew
  • Excluding legend items recalculates the share among what's left
Time Settings

Analyzing Data from After Game Launch

QA, soft launch, and CBT data mixed with real service metrics make it hard to see accurate performance. Register each project's launch date down to the minute in Hive Analytics' Time Settings to exclude everything before it.

  • Register a per-project launch date down to the minute to exclude pre-launch data
  • Applies at once to new charts, funnels, and retention, and to dashboards already in use
Currency Settings

Revenue in Different Currencies, at a Glance

Different currencies make revenue impossible to compare directly. Register your organization's currencies once and compare on a consistent basis.

  • Currency Settings covering 162 currencies
  • Game revenue viewed against your organization's currency standard
Chart

Comparing Game Metrics Against the Past

Looking at today's numbers alone doesn't tell you if a metric is high or low. Set a period comparison on Hive Analytics charts and dashboards to see the base and comparison period side by side, along with the rate of change.

  • Choose a Relative Date or a Fixed Date to compare the base and comparison period together
  • Set several comparison periods on a single chart at once
Funnel

Analyzing User Flow from Content Start to Completion

Completion numbers alone don't show whether content is working. Break it into a funnel and you can see exactly where — and how much — users drop off.

  • If most users drop right before completion, look at the completion condition before touching the content itself.
  • Re-checking the same funnel after a change turns a hunch into a measured result.
Metric Filter

Removing Test Data to Analyze Real Service Performance

QA and test-app events mixed into your data make user counts and revenue look higher than reality. Register a Server ID or App ID and they're filtered out of every chart and dashboard at once.

  • A registered Server ID or App ID filter applies automatically across every chart and dashboard
  • See real service KPIs once QA and test data are filtered out
Metric

Where Data Analysis Starts: Aligning Your Organization's Metric Standards

When metrics like active users or revenue are calculated differently across teams, the same period can show different numbers. Hive Analytics' Metric feature lets you define and reuse a single calculation standard across every chart and dashboard.

  • Build metrics from a single event or by combining several with a formula
  • Any change to a metric automatically updates every chart and dashboard that uses it
Excluded Users

Analyzing Real User Data by Filtering Out Internal Test Accounts

Register a User ID or Device ID once in Hive Analytics' Excluded User Management, and that user's events are automatically excluded from every chart and dashboard.

  • Register once and it applies to every chart and dashboard automatically
  • Check revenue, content engagement, and concurrent users based on real users only
Dashboard

Checking Game Operations Status on the Go

View the dashboards you already built on PC from your phone, and track KPIs and day-over-day changes wherever you are.

  • View PC dashboards the same way on mobile
  • Use it for live events, leadership updates, and anomaly checks
Chart

Finding Marketing Performance Differences by Dimension

Break down overall metrics by country, market, and OS to see performance gaps that averages hide, then narrow in on where the gap is concentrated.

  • Compare performance by country and market
  • Narrow down by OS and app version to find the cause

Start analyzing your game data now

Begin your team's data-driven decision making with Hive Analytics.