Radioplayer Developer Reference

User Guide v.1.6

Technical reference for Radioplayer partner integrations.

Version: Current
Document type: API reference
Audience: Radioplayer partner engineering teams

1 How Data Can Be Filtered

How Data Can Be Filtered

Several tools have been introduced to allow users to navigate data temporally, aggregate it, and filter it by different dimensions. These filters can be used together to refine analysis effectively.

Users can:

Select specific time periods to analyze trends over time.
Aggregate data based on different dimensions, such as station, listened country, or device.
Combine multiple filters to generate precise and insightful reports.

This functionality enhances data accessibility and ensures that broadcasters can extract the most relevant insights for their strategic decisions.

Data Picker

The Data Picker allows users to refine their data selection within the Insight Dashboard.

Select specific time periods for analysis (two-days ago, previous week, last 7 days, previous month, last 30 days, last 90 days or custom range).
Compare different data sets to evaluate trends over time.

Currently, the reported data is from two days prior due to the processing and consolidation mechanisms of the Firebase acquisition source, which requires 24 to 48 hours. _The introduction of our proprietary SDK will significantly reduce this delay, allowing data to be available within a few hours._

Country Filter

The country filter is useful for selecting one or more countries when monitoring Radioplayer projects across multiple regions. This feature is particularly useful for system administrators, allowing them to filter stations of a single nation or analyze aggregated data from multiple countries.

Broadcaster Group Filter

The Broadcaster Group filter allows users to select one or more broadcaster groups. A Broadcaster Group is a collection of stations that are generally owned by the same entity or are part of a unified brand name. This feature is particularly useful for organizations managing multiple stations across different markets.

Station Filter

The station filter allows users to select one or multiple stations within the Insight Dashboard. Users can search for stations by entering letters into the search box, enabling quick and efficient filtering. This feature helps broadcasters and analysts focus on specific stations or groups of stations for more targeted data analysis.

Listen Country

Filter The listen country filter allows users to filter where one or more stations are being listened to. Users can search for countries using the search box and filter for one or multiple nations, making it easier to analyze listening trends across different geographical areas.

Device Filter

The device filter allows users to filter on which device one or more stations are being listened to. This filter works similarly to other filters, enabling users to refine data by selecting specific device categories such as mobile, smart speakers, automotive systems, or web players. By using this filter, broadcasters and analysts can analyze listening behaviors based on device type and gain insights into user engagement across different platforms. This filter is only available on dashboards relating to new insigths events.

Device Category Filter

The device category filter allows users to filter on which device one or more stations are being listened to. The selectable options are related to the old insight event categorisation logic. This filter works similarly to other filters, enabling users to refine data by selecting specific device categories such as mobile, smart speakers, automotive systems, or web players. By using this filter, broadcasters and analysts can analyze listening behaviors based on device type and gain insights into user engagement across different platforms. This filter is only available on the old insight event dashboards called “Migration support”.

Custom Settings Configuration

These settings are accessible via the Settings Panel , with visibility and modification rights determined by the permissions associated with the user's role.

Local Time Zone

This setting controls how timestamps are displayed based on the selected country data.

Behavior: If enabled (True), and the selected reporting countries share a single, unified time zone , the data will be displayed in that local time zone. If the selected countries represent multiple different time zones or if this flag is disabled (False), all time-related data defaults to the UTC+0 standard.

Favorite Station (Default Country)

This option allows administrators to set a default country to pre-populate the 'Country' filter upon application launch.

Visibility: Only accessible to Territory Admin and Super Admin roles.
Functionality: You may select a default country from those visible within your scope. This selection ensures the application's country filter is automatically set to your preference when starting the app.

Minimum Session Duration

This setting defines the minimum threshold required for a listening session to be considered valid for analytics purposes.

Visibility: Only accessible to Territory Admin and Super Admin roles.
Functionality: Users can select the minimum valid duration for a session from the following discrete time values: 1, 15, 30, 45 or 60 seconds. Sessions lasting less than the configured duration will be excluded from core reporting metrics.

The Insight Dashboard provides key metrics to help broadcasters and analysts track audience engagement and station performance. The main KPIs available include:

In-Car Insights

Dashboards covering listening that happens inside connected vehicles: live automotive audience, station/broadcaster/country/admin automotive breakdowns, and car brand insights.

Automotive Live Insights

Scorecard

Unique Cars : Tracks the total number of distinct vehicles connected and interacting with audio content during the selected period.
Listening Sessions : Counts the total active listening sessions initiated in the selected period (minimum duration of 60 seconds).
Average Listening Time : Measures the mean duration of an audio stream per individual listening session.
Reach : Estimates the overall cumulative in-car audience penetration.

In-Car Listening Flow

Active Stations : Details the total number of live in-car stations currently accessed.
Active Podcasts : Monitors the total number of distinct on-demand podcast assets actively being accessed.
Peak Hour : Identifies the specific time block experiencing the maximum concurrent session volume.
Avg App Returns : Measures audience retention by tracking how frequently a vehicle re-engages with the radio application.
Sessions Timeline : A rolling 24-hour visual trend mapping vehicle volume against sessions delivered via DAB, FM tuner, and Connected-car IP to highlight daily consumption patterns.

HYBRID RADIO

Platform Share Split : Displays the proportional breakdown of listening sessions across different delivery vectors.
Primary In-Car Source : Identifies the dominant reception technology chosen by drivers among digital broadcast, analogue tuners, and internet streaming.

Listening Platform Distribution

Hybrid Radio Share : Displays the proportional breakdown of in-car listening sessions across different delivery platforms (DAB, FM, IP) across the selected period.
Primary In-Car Source : Establishes the dominant technology driving audience reception, highlighting the top delivery mode by absolute session count.

Visual Data Representations

Automotive Distribution : Represents the share of total listening sessions segmented by specific automotive manufacturing brands (e.g., BYD, XPENG) to pinpoint core hardware partner platforms.
Geographic Distribution Map : Utilizes geographic telemetry to illustrate spatial distribution, filtering listening sessions by clustered cities and heatmaps to show regional audience concentrations.
Station Distribution : Ranks the top 100 individual radio stations based on their absolute volume of listening sessions during the selected timeframe.

The Automotive dashboard adapts automatically to your role (Super Admin) and the filters you apply: depending on the Country, Broadcaster Group and Station filters you select, you'll be shown one of the views described below — Station, Broadcaster, Country or Super Admin — surfacing only the data you have access to.

Single Station Automotive Insights

This view is shown automatically based on your role and the filters you select — "Go to Automotive dashboard" opens the shared Automotive page, which may show a different view depending on your current filters.

Scorecard

Listening Sessions : Tracks the total volume of distinct audio streams initiated for the selected station.
Unique Cars : Counts the net number of individual connected vehicles interacting with the station's broadcast.
Reach : Estimates the overall audience penetration and unique in-car reach achieved by the station.
Average Listening Time : Measures the mean duration of an audio stream per individual session to determine listener engagement.
Total Listening Time : Quantifies the aggregate volume of listening hours accumulated across the fleet for this station.

METADATA QUALITY REPORT

Total Quality Score : Evaluates the overall health and completeness of metadata for the specified station.
Nowplaying metadata : Verifies the operational status of real-time textual feeds regarding active tracks and artists.
Real-time song events : Tracks the total number of distinct musical playbacks captured within a rolling historical window.
Active bearer footprint : Measures network presence by detailing the total count of active broadcast frequencies and digital multiplexes detected.
Voice assistant readiness : Rates the optimization and recognition quality of the station's assets via voice-controlled platforms.
Programme schedule coverage : Assesses the detection and availability of Electronic Programme Guide (EPG) data via metadata streams.
On-demand content : Monitors the size and integration of the station's published catch-up and episode catalogue.
Voice optimization hints : Evaluates configuration readiness based on approved voice aliases for smart devices.

In-Car Listening Flow

Active Stations : Verifies the number of parallel live in-car channels tracked for the network.
Active Podcasts : Indicates the count of active on-demand assets currently being accessed.
Peak Hour : Identifies the specific daily time block experiencing the highest concurrent volume of user sessions.
Avg App Returns : Measures listener loyalty by tracking how often a vehicle re-engages with the station's app.
Temporal Volume Tracking : Compares chronological vehicle volumes against live broadcast sessions to map daily consumption patterns and shifts.

HYBRID RADIO

Platform Share Split : Displays the proportional breakdown of listening sessions across different delivery vectors.
Primary In-Car Source : Identifies the dominant reception technology chosen by drivers among digital broadcast, analogue tuners, and internet streaming.

Visual Data Representations

Vehicle Brand Mix : Represents the distribution of the station's listening sessions across specific automotive brands, highlighting core hardware partner platforms.
Where Cars Listen : Visualizes geographic telemetry data to map regional audience concentrations and localized hot spots.
Listening by City : Ranks specific municipalities by session volume while illustrating the underlying technology mix used in each market.
Top 20 Bearers : Identifies and ranks specific transmission paths based on their geographic origin, technical network codes, and overall session share.
Listening Strength by City : Cross-references specific cities with standardized dayparts to highlight localized, high-performing broadcast windows.
Listening by Daypart : Plots the days of the week against daily time blocks to visually identify core commuting patterns and routine listening peaks.
Most Listened Programmes : Ranks distinct radio shows alongside their broadcast time slots, session counts, average reach, average listening depth, and chronological performance trends.
Most Listened Podcasts : Monitors on-demand series starts, average reach, completion depth, and trend trajectories, indicating current data availability status.
Most Listened Artists : Ranks the most popular musical performers broadcast by the station, derived directly from active nowplaying metadata.
Most Listened Songs : Ranks individual song titles along with their artists based on the frequency of playbacks captured by the platform.

BROADCASTER Automotive Insights

Listening Sessions : Tracks the total volume of distinct audio streams initiated across all stations managed by the broadcaster group.
Unique Cars : Counts the net number of individual connected vehicles interacting with the group's combined broadcast offerings.
Reach : Estimates the overall cumulative audience penetration and in-car reach across the broadcaster portfolio.
Average Listening Time : Measures the mean duration of an audio stream per individual session, reflecting network-wide listener stickiness.
Total Listening Time : Quantifies the aggregate volume of listening hours accumulated across the fleet for all stations under this group.
Group Station Leaderboard : Ranks individual stations within the broadcaster group based on their share of total session volume.

METADATA QUALITY REPORT

Total Quality Score : Evaluates the aggregated metadata health, readiness, and compliance score across the entire broadcaster portfolio.
Station Count : Identifies the total number of active, tracked stations currently operating under this broadcaster group.

In-Car Listening Flow

Active Stations : Indicates the total number of live stations currently broadcasting across the network infrastructure.
Active Podcasts : Tracks the volume of unique, on-demand podcast assets actively engaged by listeners.
Peak Hour : Identifies the specific time interval recording the maximum volume of concurrent sessions across the entire group.
Avg App Returns : Quantifies audience retention by measuring the average frequency of vehicle re-engagement with the group's applications.
Temporal Volume Tracking : Correlates daily vehicle presence with live broadcast sessions to visualize consumption trends and audience patterns over time.

HYBRID RADIO

Platform Share Split : Displays the proportional breakdown of listening sessions across different delivery platforms across the group.
Primary In-Car Source : Establishes the primary technology driving audience reception across digital broadcast, analogue tuners, and internet streaming.

Visual Data Representations

Automotive Distribution : Represents the share of total group listening sessions segmented by specific automotive manufacturing brands to pinpoint core partner platforms.
Listening by Station and Platform : Breaks down top session volumes per individual station while highlighting the underlying technical delivery modes utilized by listeners.
Where Cars Listen : Utilizes geographic telemetry to illustrate the spatial distribution and regional audience concentrations for the broadcaster group.
Distribution by City : Visualizes the internal market share distribution of the group's stations within individual municipalities.
Top 20 Bearers and Shared DAB Multiplexes : Maps specific commercial station feeds to their shared technical transmission infrastructure paths and assigns individual asset network shares.
Listening Strength by City : Maps specific metropolitan markets against standard dayparts to expose localized regional listening anomalies and high-performance windows.
Listening by Daypart : Correlates days of the week against standard dayparts to visually highlight commute-driven trends and core audience routine spikes.
Most Listened Programmes : Ranks distinct radio shows alongside their broadcast time slots, session counts, average reach, average listening depth, and chronological performance trends.
Most Listened Podcasts : Monitors on-demand series starts, average reach, completion depth, and trend trajectories, indicating current data availability status.
Most Listened Artists : Ranks the most popular musical performers broadcast by the station, derived directly from active nowplaying metadata.
Most Listened Songs : Ranks individual song titles along with their artists based on the frequency of playbacks captured by the platform.

COUNTRY Automotive Insights

Scorecard

Listening Sessions : Tracks the total volume of distinct audio streams initiated within vehicles for the selected country.
Unique Cars : Counts the net number of individual connected vehicles interacting with broadcast content within the selected country.
Reach : Estimates the overall audience penetration within the automotive ecosystem for the selected country.
Average Listening Time : Measures the mean duration of an audio stream per individual session, indicating listener stickiness.
Total Listening Time : Quantifies the aggregate volume of listening hours accumulated across the fleet in the selected country.
Active Stations : Counts the total variety of linear stations currently being utilized in-car.
Active Podcasts : Displays the total number of distinct on-demand podcast assets accessed.
Peak Hour : Identifies the specific time block experiencing the highest concurrent volume of sessions.
Avg App Returns : Measures user loyalty by tracking how frequently a vehicle re-engages with the radio application.

Metadata Coverage

Nowplaying metadata : Evaluates the availability of real-time textual information regarding the active track and artist.
Programme schedules : Assesses the delivery of usable show guides and programming timelines.
On-demand catalogues : Tracks the integration and link coverage for catch-up or podcast content.
Bearer mapping : Verifies the correct linking of FM/DAB bearer data with digital assets.

In-Car Listening Flow

Temporal Volume Tracking : Correlates daily vehicle presence with live broadcast sessions to visualize consumption trends and audience patterns over time.

HYBRID RADIO

Platform Share Split : Displays the proportional breakdown of listening sessions across different delivery platforms across the group.
Primary In-Car Source : Establishes the primary technology driving audience reception across digital broadcast, analogue tuners, and internet streaming.

Automotive Distribution

Automotive Distribution : Represents the total session share divided by specific automotive manufacturing brands to expose manufacturer-specific user bases.
City Listening Footprint : Charts active vehicles against average listening time per urban center to instantly spot regional, high-engagement hubs.
Broadcaster Group Distribution : Ranks corporate broadcasting entities by their market share, showing the total number of sessions and active stations controlled per group within the selected country.
Top 50 Station : Ranks distinct radio stations shows alongside their session counts, average reach, average listening depth, and chronological performance trends.
Top 50 Programmes : Ranks distinct radio shows alongside their broadcast time slots, session counts, average reach, average listening depth, and chronological performance trends.
City Distribution : Utilizes geographic telemetry to illustrate the spatial distribution and regional audience concentrations for the broadcaster group.
In-Car Listening Rhythm : Crosses days of the week with standard dayparts to visually highlight heavy, commute-driven listening windows.
Live vs Podcast : Visualizes the split between linear, real-time broadcasts and asynchronous, time-shifted audio.
Top 50 Artists : Ranks the most popular musical performers broadcast by the station, derived directly from active nowplaying metadata.
Top 50 Songs : Ranks individual song titles along with their artists based on the frequency of playbacks captured by the platform.
Top 20 Bearers and Shared DAB Multiplexes : Associates commercial station identities with their strict technical network codes to monitor signal delivery performance per channel.
DAB multiplex efficiency : Measures how many individual radio services are successfully multiplexed onto a single transmission block relative to the total network traffic load supported by that site.

SUPER ADMIN Automotive Insights

Scorecard

Listening Sessions : Tracks the total volume of distinct audio streams initiated within vehicles for the selected country.
Unique Cars : Counts the net number of individual connected vehicles interacting with broadcast content within the selected country.
Reach : Estimates the overall audience penetration within the automotive ecosystem for the selected country.
Average Listening Time : Measures the mean duration of an audio stream per individual session, indicating listener stickiness.
Total Listening Time : Quantifies the aggregate volume of listening hours accumulated across the fleet in the selected country.
Active Stations : Counts the total variety of linear stations currently being utilized in-car.
Active Podcasts : Displays the total number of distinct on-demand podcast assets accessed.
Peak Hour : Identifies the specific time block experiencing the highest concurrent volume of sessions.
Avg App Returns : Measures user loyalty by tracking how frequently a vehicle re-engages with the radio application.

In-Car Listening Flow

Temporal Volume Tracking : Correlates daily vehicle presence with live broadcast sessions to visualize consumption trends and audience patterns over time.

HYBRID RADIO

Platform Share Split : Displays the proportional breakdown of listening sessions across different delivery platforms across the group.
Primary In-Car Source : Establishes the primary technology driving audience reception across digital broadcast, analogue tuners, and internet streaming.

Automotive Distribution

Automotive Brand Distribution : Represents the total session share divided by specific automotive manufacturing brands to expose manufacturer-specific user bases.
Country Listening Footprint : Charts active vehicles against average listening time per urban center to instantly spot regional, high-engagement hubs.
Broadcaster Group Distribution : Ranks corporate broadcasting entities by their market share, showing the total number of sessions and active stations controlled per group within the selected country.
In-Car Listening Rhythm : Crosses days of the week with standard dayparts to visually highlight heavy, commute-driven listening windows.
Live vs Podcast : Visualizes the split between linear, real-time broadcasts and asynchronous, time-shifted audio.
City Distribution : Utilizes geographic telemetry to illustrate the spatial distribution and regional audience concentrations for the broadcaster group.
Top 50 Artists : Ranks the most popular musical performers broadcast by the station, derived directly from active nowplaying metadata.
Top 50 Songs : Ranks individual song titles along with their artists based on the frequency of playbacks captured by the platform.
Most Listened Podcasts : Monitors on-demand series starts, average reach, completion depth, and trend trajectories, indicating current data availability status.
Top 50 Station : Ranks distinct radio stations shows alongside their session counts, average reach, average listening depth, and chronological performance trends.
Top 50 Programmes : Ranks distinct radio shows alongside their broadcast time slots, session counts, average reach, average listening depth, and chronological performance trends.

Automotive Car Brand Insights

This dashboard shifts the point of view from a station, broadcaster or country to a single car brand : every metric below describes the listening behaviour of that brand’s own connected vehicles. Accounts linked to a specific automotive vendor always see that brand’s data; other users can select a single brand from the Brand filter to preview the same brand-centric view.

Scorecard

Listening Sessions : Tracks the total volume of distinct audio streams initiated across the brand’s connected vehicles.
Unique Cars : Counts the net number of individual vehicles from this brand interacting with in-car radio content.
Reach : Estimates the overall in-car audience penetration achieved by the brand’s fleet.
Average Listening Time : Measures the mean duration of an audio stream per individual session across the brand’s vehicles.
Total Listening Time : Quantifies the aggregate volume of listening hours accumulated across the brand’s fleet.

METADATA QUALITY REPORT

Total Quality Score : Evaluates the overall health and completeness of metadata backing the brand’s in-car experience.
Nowplaying metadata : Verifies the operational status of real-time textual feeds regarding active tracks and artists.
Real-time song events : Tracks the total number of distinct musical playbacks captured within a rolling historical window.
Active bearer footprint : Measures network presence by detailing the total count of active broadcast frequencies and digital multiplexes detected.
Voice assistant readiness : Rates the optimization and recognition quality of the brand’s assets via voice-controlled platforms.
Programme schedule coverage : Assesses the detection and availability of Electronic Programme Guide (EPG) data via metadata streams.
On-demand content : Monitors the size and integration of the published catch-up and episode catalogue.
Voice optimization hints : Evaluates configuration readiness based on approved voice aliases for smart devices.

Visual Data Representations

In-Car Radio Listening Flow : Tracks the brand’s daily in-car sessions delivered via DAB, FM tuner and Connected-car IP to highlight consumption patterns across its fleet.
Brand Portfolio Distribution : Represents the share of listening sessions across the vehicle brands in the same group portfolio, highlighting the selected brand’s relative weight.
Model Radio Performance : Ranks the brand’s vehicle models by listening sessions, showing which models drive the most in-car radio engagement.
Radio Platform by Model : Breaks down each vehicle model’s listening sessions by radio delivery platform (DAB, FM, IP).
Listening by Model and Daypart : Cross-references the brand’s vehicle models with dayparts to highlight when each model’s drivers listen the most.
City Distribution : Utilizes geographic telemetry to map where the brand’s connected vehicles are listening, clustering sessions by city.
Where Partner Vehicles Listen : Top 50 cities ranked by listening sessions, active cars and average listening depth for the brand’s fleet.
Connected Cabin Experience : Illustrative in-cabin service-quality signals — voice start success, IP start success, favourite sync and connectivity recovery time — for the brand’s vehicles.

Out-of-Car Insights

Dashboards covering listening outside the automotive context: broadcaster groups & stations overview, live content, on-demand content, and audience engagement.

Overview

Scorecard

Sessions : The total number of listening sessions. A session starts when playback begins and ends when it stops.
Average Session Duration (TSL) : The average time users spend listening per session.
Total Time Spent Listening (TTSL) : The cumulative listening time across all sessions.
Average Quarter-Hour (AQH) : The average number of active sessions within a 15-minute window.

Each KPI includes a percentage trend comparing data with the previous period, helping users monitor audience behavior, engagement, and station performance over time.

Visual Data Representations

The dashboard features various graphical representations for easy analysis:

Day Distribution : Displays listening activity trends by day, with options to view total sessions or unique devices.
Hour Distribution : Shows listening activity trends by hour, allowing users to track hourly audience engagement.
Station Distribution : Compares the percentage of listening activity across selected stations, helping assess performance differences.
Country Distribution : Highlights listening activity by country, providing insights into geographic trends.
City Distribution : Shows listening activity by city, offering a localized view of audience engagement.
Geographic Distribution Map : A visual map representation of audience locations, helping identify key markets and listener density.
Daily Station Distribution : Tracks the daily performance of each selected station over time.
Device Percentage : Breaks down listening sessions by device type.
Device Distribution : Provides a detailed breakdown of listening by device type, including how users access content.
Daily Device Distribution : Tracks daily trends in device usage, helping broadcasters understand platform preferences and engagement shifts.

These KPIs and charts provide actionable insights into listening behaviors, helping broadcasters refine content strategies and improve audience engagement.

Live

Scorecard

Sessions : The total number of listening sessions. A session starts when playback begins and ends when it stops (min. duration 60 s).
Reach : Count the number of listeners, where each listener is identified by a unique device that tunes into a station. If a listener tunes into 3 different stations within a day, week, or month, it will be counted three times. In case of unavailable data, it is recommended to resize the selected time interval. The maximum selectable time range is 90 days.

Each KPI includes a percentage trend comparing data with the previous period, helping users monitor audience behavior, engagement, and station performance over time.

Visual Data Representations

Trend Distributions : The chart shows the average sessions (or reach) by hour of the day, comparing weekdays (Monday–Friday) and weekends (Saturday–Sunday). It highlights differences in user activity patterns between workdays and weekends, showing peak hours and overall engagement throughout the day.
Day Parts Distribution : This pie chart shows the distribution of listening sessions by time of day within the selected time period. The sessions are grouped into four time blocks: morning, afternoon, evening, and night, highlighting which parts of the day users are most active in listening. This breakdown provides a clear view of user behavior throughout the day, helping to identify peak listening periods.
Stations & Programs: Provides insights into station and program performance, helping assess the effectiveness of different broadcasts.
Top 50 Most Listened-To Songs : Highlights the 50 most popular songs across stations, offering insights into audience music preferences.
Top 50 Most Listened-To Artists : Displays the 50 most played artists, helping broadcasters and the music industry understand audience trends.

On-demand

Scorecard

Total on demand session : Number of listening sessions (streams). Unlike live sessions, there is no minimum listening duration for each episode.
Total podcast consumption : Number of streaming sessions and the number of offline sessions, identified as the number of downloaded episodes.
Reach : Count the number of listeners, where each listener is identified by a unique device that tunes into a station. If a listener tunes into 3 different stations within a day, week, or month, it will be counted three times. In case of unavailable data, it is recommended to resize the selected time interval. The maximum selectable time range is 180 days.

Each KPI includes a percentage trend comparing data with the previous period, helping users monitor audience behavior, engagement, and station performance over time.

Visual Data Representations

Podcasts Charts : Top 1000 podcasts by listening sessions, including station info and the number of active episodes (non-expired).
Most Subscribed Series : Top 1000 podcasts ranked by number of subscriptions received during the selected period, including additional information about the associated station.
Most Listened Episodes : Top 1000 most-listened episodes, with related information such as podcast and station details.
Daily Listeners Distribution : This graph shows the total daily distribution of users who listened to a podcast broadcast by a station.
Episodes Streams Distribution : This visualization displays the distribution of episodes downloads or strems over time, allowing users to select the granularity of the data by day, week, or month.
Episodes Downloads Distribution : This visualization displays the distribution of episodes downloads or strems over time, allowing users to select the granularity of the data by day, week, or month.
Total Consumption Distribution : This visualization shows the total podcast consumption over time, representing the combined number of downloads and streams. Users can adjust the data granularity by selecting a daily, weekly, or monthly view.
Subscriptions Distribution : This visualization displays the distribution of podcast subscriptions over time, allowing users to select the granularity of the data by day, week, or month.

To ensure accurate data and real-time reporting, broadcasters must provide metadata to the Radioplayer backend via Now Playing updates and/or schedule updates. Podcasts will only appear if they are linked to one or more stations within the selected filters. Providing complete metadata enhances the accuracy of insights and optimizes audience engagement strategies.

Audience Engagement

Scorecard

Total Favourite Active Subscriptions : The total number of active subscriptions to stations since January 1st, 2025. This value represents the balance of users who add a station to their favourites list minus those who remove it.
Average Stations Favourite : The average number of stations marked as favourites by each user. This can be interpreted as the “length” of the user's favourites list.

Each KPI includes a percentage trend comparing data with the previous period, helping users monitor audience behavior, engagement, and station performance over time.

Visual Data Representations

Favourite Stations : The top 50 stations based on the total number of overall subscribers.

Note: Metrics in this section are based on lifetime data.

Difference Between Old and New Insight Data

The data available in the new Insight Dashboard generally show lower absolute numerical values compared to the old RP_Insight system. This discrepancy arises due to a key structural change in data collection. The current data model does not include listening data from mobile app versions lower than 7.8, resulting in a more refined and precise dataset. However, this difference will progressively diminish as more users update their applications, leading to a gradual realignment of data over time.

Additionally, there has been a significant improvement in the accuracy of listening time calculations. The new system now determines listening duration by calculating the difference between the stop and start events of each individual listening session, ensuring a more precise measurement of user engagement.

To facilitate the understanding of data during this transition period, a dedicated dashboard will be released soon. This dashboard will allow users to consult the total data from the old RP_Insight system, with certain limitations on set of data showed, ensuring continuity in analysis while adapting to the new data model.