YourTown Live

A 24/7 programmed audio channel

Think of this as your church’s always-on digital station.

What it does

• Runs 24/7
  • Can also convert live video → live audio
• Can include:
  • Music
  • Scheduled podcasts
  • Teaching blocks
  • Devotionals
• Supports audio inserts for:
  • IDs
  • Announcements
  • Calls to action

Why it matters

• One reliable destination in your Digital Station
• Feels like radio, but fully owned
• Works everywhere (web, app, car)

Use cases

• “Listen Live”
• Background listening
• Community presence throughout the week

Curated Channels

Collections of podcasts, grouped by purpose

Channels are not players and not feeds. They are organized collections.

What they do

• Group podcasts by:
  • Category
  • Theme
  • Season
  • Ministry focus
• Provide clarity and discovery
• Reduce clutter

Examples

• Sermon Series
• Teaching & Formation
• Devotions
• Special Seasons (Advent, Easter)
• Youth & Young Adults

Why it matters

• Helps people find what they need
• Keeps growth organized
• No technical overhead

ChannelStreams Live

Turn podcasts into live, radio-style feeds

This is where podcasts become programming.

What it does

• Converts multiple podcasts into:
  • A live, linear stream
• Creates “radio-style” listening experiences

Why it matters

• Podcast content doesn’t just sit on demand
• Feels familiar to radio listeners
• Enables scheduled listening moments

Use cases

• Teaching Channel Live
• Sermon Replay Channel
• Weekday Teaching Stream
• Conference / Event audio feeds

Audio Inserts

Contextual audio without breaking the flow

What they do

• Insert:
  • Station IDs
  • Pre-rolls
  • Post-rolls
  • Calls to action
• Without altering the original audio

Why it matters

• Preserves message integrity

Setting up YourTown Live involves gathering a few basic assets (station name, station IDs, promos, local temperature location, and any podcasts you want featured), securing music licensing if you plan to stream licensed music, and then letting Godcaster spin up and configure your 24/7 station for you. Once launched, you can manage content through the Library, schedule podcasts of any length, add church or community promos, and take the station live at any time using tools like Riverside, OBS, or BoxCast. The system automatically handles scheduling, transitions, recordings, and returns to regular programming—so the station stays live with minimal ongoing effort.

Read How to Set Up YourTown Live (YTL) for full details.

AI assistants can be powerful analysis partners when used correctly. While they don’t connect directly to your Godcaster dashboard, you can export your monthly stats and use AI to summarize trends, surface patterns, and generate insights—without needing a dedicated data analyst.

After exporting your stats (CSV or spreadsheet) from the Godcaster dashboard, upload or paste the data into your AI assistant and use prompts like the examples below.

Important note: AI assistants analyze only the data you provide. They do not identify individual listeners or track personal identities. All insights are based on aggregated, anonymized data.

Important Data & Attribution Notes

• Some engagement actions (such as Support clicks) may not include program or episode identifiers in certain exports. When this occurs, AI can report totals and patterns—but cannot reliably attribute those actions to specific episodes or programs.
• “Unique listener” counts provided by AI are estimates, not definitive totals. Estimates are typically based on IP address or session-level proxies and should be used for trend analysis and directional insight, not exact audience counts.
• Live → on-demand listening analysis depends on session continuity. If listeners return later in a new session (rather than immediately after a live stream), AI may report zero same-session transitions even when long-term behavior suggests otherwise.

Example Analysis Prompts

Episode-level support activity

Prompt:
“Review this spreadsheet and identify which episodes generated at least one support click. Rank them by total support clicks.”

Program-level performance summary

Prompt:
“Summarize performance by program, including total visits, plays, shares, and support clicks.”

Episode-level performance summary

Prompt:
“Summarize performance by episode, highlighting top-performing episodes across plays, shares, and support clicks.”

Mobile vs. desktop listening

Prompt:
“Compare plays from mobile environments (Godcaster mobile app and player.godcaster.fm) versus desktop website plays (e.g., khcb.org). Present totals for each.”

Live → on-demand listening behavior

Prompt:
“Using session-level data, identify how many listeners transitioned from a live stream to on-demand content during the same session. List the top 10 on-demand episodes and top 10 programs most frequently played after live listening.”

(Note: Results depend on how session data is represented in the export.)

Share activity

Prompt:
“Show total share activity for the month and list the top 10 shared episodes and top 10 shared programs.”

Mobile vs. desktop sharing

Prompt:
“Break down total shares by device type: mobile vs. desktop.”

Estimated unique listeners

Prompt:
“Based on the available data, provide an estimated count of unique listeners for this month and explain the assumptions used.”

Executive-level summary

Prompt:
“Provide a clear executive summary of how [Station Name] performed this month, highlighting audience growth, engagement trends, and key opportunities.”

Why This Works

AI assistants excel at:

• Pattern recognition
• Summarization
• Ranking and comparison
• Translating raw data into plain-language insights

They are especially useful for leadership reviews, board reports, donor summaries, and internal planning—helping you quickly understand what’s working, what’s growing, and where to focus next.

 To keep listeners in your ecosystem. Every play stays tied to your station for attribution, engagement, and giving.