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Analytics Dashboard

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Overview

The Analytics Dashboard is an upcoming Helika Content Creation Engine (CCE) module designed to give you clear, actionable visibility into how your AI-generated content and characters are performing over time.

Where the Content Engine focuses on creation and publishing, the Analytics Dashboard will handle measurement and optimization—helping you understand what works, what doesn’t, and how to improve your audience engagement.

This section will cover:

  • Purpose and Benefits
  • Types of Analytics
  • Key Metrics and Definitions
  • Dashboard Layout
  • Filtering and Segmentation
  • Character-Level vs Workspace-Level Views
  • Campaign Analytics
  • Performance Benchmarks and Comparisons
  • Exporting and Sharing Reports
  • Use Cases
  • Best Practices
  • Roadmap and Limitations

Purpose and Benefits

The Analytics Dashboard will:

  • Provide real-time insights into character and campaign performance.
  • Identify optimal posting times and formats for higher engagement.
  • Compare performance across characters, content types, and platforms.
  • Highlight top-performing content so you can replicate success.
  • Flag underperforming posts to help refine tone, media usage, or topic selection.

By linking these insights back to Agent Controls and Character Sheets, you can create a continuous improvement loop.

Types of Analytics

At launch, the dashboard will focus on three main categories:

  • Engagement Analytics
    • How audiences interact with your content (likes, shares, comments, reposts).
  • Reach & Impressions
    • How many people are seeing your content.
  • Growth Metrics
    • Follower growth, retention, and conversion during a given time period.

Planned for later iterations:

  • Virality Prediction Scores
  • Content Sentiment Analysis
  • Attribution Models for multi-character and cross-platform campaigns

Key Metrics and Definitions

  • Engagement Rate: (Total Engagements ÷ Total Impressions) × 100 – Measures how actively your audience interacts with posts.
  • Impressions: Number of times your post was displayed to users (may include repeats).
  • Reach: Number of unique users who saw your post.
  • Click-Through Rate (CTR): Percentage of users who clicked a link in your post.
  • Follower Growth: Net change in followers over a defined period.
  • Top Performing Posts: Posts ranked by engagement rate, reach, or a custom metric.
  • Sentiment Score (planned): Automated positive/negative/neutral classification of replies and mentions.

Dashboard Layout (Planned)

Main Sections:

  • Summary Cards – High-level KPIs (engagement rate, total posts, follower growth).
  • Trend Graphs – Engagement, impressions, and reach over time.
  • Content Leaderboard – Ranked list of posts by performance.
  • Time-of-Day Heatmap – Visual representation of when posts get the most interaction.
  • Character Performance Tiles – Side-by-side comparison of multiple AI characters.

Filtering and Segmentation

You will be able to filter analytics by:

  • Date Range (last 7 days, last month, custom)
  • Character
  • Platform (X, Discord, Reddit, etc. as available)
  • Content Type (text, image, video, thread)
  • Campaign (linked to Campaigns Module)

Segmentation allows deep dives—for example, filtering to see only Zeus’s meme posts in the last 30 days.

Character-Level vs Workspace-Level Views

Character-Level Analytics

  • Shows how an individual character is performing.
  • Useful for refining tone, Knowledge Base, and Agent Controls.

Workspace-Level Analytics

  • Aggregates data across all characters and platforms.
  • Ideal for portfolio-level reporting for publishers or multi-IP studios.

Campaign Analytics

If a post is part of a campaign:

  • Metrics will roll up into a Campaign Performance view.
  • View overall campaign engagement, reach, and follower growth.
  • Compare campaign performance to historical benchmarks.

Performance Benchmarks and Comparisons

The dashboard will include:

  • Historical Benchmarks – Compare this month to the previous.
  • Cross-Character Comparisons – Identify which personas drive the most engagement.
  • Content Type Benchmarks – See if memes, patch updates, or lore posts perform better.

Exporting and Sharing Reports

Planned export options:

  • CSV/Excel – For raw data analysis.
  • PDF – For client or stakeholder reporting.
  • Share Link – Generate a secure view-only dashboard link.

Reports can be one-time exports or scheduled (e.g., weekly, monthly).

Use Cases

Use Case 1: Content Optimization

  • Identify high-engagement post formats to replicate in future.

Use Case 2: Campaign ROI

  • Show stakeholders how a specific campaign drove measurable growth.

Use Case 3: Character Performance Review

  • Decide whether to adjust a character’s tone or engagement strategy based on metrics.

Best Practices

  • Review Weekly – Keep a pulse on performance rather than waiting until campaign end.
  • Correlate Changes – Note when Agent Controls or Character Sheet updates align with performance shifts.
  • Act on Data – Use insights to adjust content scheduling, tone, or topics.
  • Share with Teams – Ensure creative, marketing, and community teams see relevant metrics.

Roadmap and Limitations

Planned for Initial Release:

  • Engagement rate, impressions, reach, follower growth.
  • Date, character, platform, and content-type filtering.
  • Campaign performance aggregation.

Planned for Later Iterations:

  • Sentiment analysis.
  • Virality prediction before publishing.
  • Multi-platform consolidated metrics.
  • Automated recommendations based on performance.

Limitations at Launch:

  • Data will initially focus on X (Twitter).
  • No in-dashboard editing of posts based on analytics—changes must be made in the Content Engine.

Updated 3 days ago