x
sales@emediamonitor.net
en

Broadcast Intelligence Data for Analysts

Everything Data Analysts Need to Know, and Why It Matters

This is a practical guide for analysts evaluating eMM’s data coverage, latency, analytics, workflows and integration options.

When you’re assessing a media intelligence dataset, you need clarity, structure, and proof, not a sales pitch.

This page provides a complete overview of how eMM’s broadcast data works, from global coverage and latency to technical workflows, sample data formats, analytics outputs and integration pathways.

1. What eMM Offers

eMedia Monitor provides a real-time global broadcast data engine trusted by in-house communications teams, agencies, media data analysts, media monitoring providers and enterprise organizations.

We provide:

2. How the Platform Works

Define precise search profiles and receive real-time clips within seconds, allowing you to review and analyse transcripts, edit or export recordings, generate dashboards, and send structured metadata directly into your analytics tools. We go beyond Boolena: eMM’s AI-powered search automates the complex query-building, enabling professionals to find insights faster and more intuitively using natural language. No more wrestling with traditional Boolean strings.

Our simple workflow allows you to:

3. What the Data Looks Like

eMM data combines time-coded audio/video clips, transcripts, and structured metadata with AI-enriched signals such as detected entities, sentiment, keywords, and classification outputs. Everything is available through the platform, export tools, and our API.

Structured media intelligence data includes:

Gathered data can be accessed via:


Here’s a detailed overview:

Data Field Descriptions

Column Explanation Super Profile Regular Profile
No A sequential index showing the order of clips in the exported file. Yes Yes
Notification ID A unique system-generated identifier assigned to each detected clip. Yes No
Profile Group A high-level organizational folder that contains one or more Profiles. Yes Yes
Profile Group ID A system-generated numeric identifier that corresponds to the Profile Group under which a profile is organized. Yes Yes
Profile Title The name of the Profile whose results appear in the export. A Profile defines the specific keywords or topics being monitored. Yes Yes
Profile ID A system-generated numeric identifier that corresponds to the specific Profile within a Profile Group. Yes Yes
Query ID A system identifier for each query Note: This appears only in Standard Profile exports. No Yes
Date/Time The timestamp the system detected and logged the clip Yes Yes
Channel ID A numeric identifier representing the channel from which the clip originated. Yes Yes
Channel The name of the media source where the clip appeared (e.g., the specific station, program feed, or publication name). Yes Yes
Type The media type of the source (e.g., broadcast TV, radio, digital, etc.). Yes Yes
Country The country where the content was broadcast. Yes Yes
Country Code The standardized country abbreviation. Yes Yes
Language The language of the broadcast expressed as a language code. Yes Yes
AVE Advertising Value Equivalency: An estimated advertising value attributed to the clip by the content provider.
May appear blank if not enabled for the user.
Yes Yes
Audience (Reach) An estimate of the broadcast’s audience size during the time of airing.
May appear blank if not enabled for the user.
Yes Yes
Duplicate Type Indicates whether the clip is classified as repeated content based on the system’s duplicate-detection rules.
Appears only in Standard Profile exports. Duplicate types include: clip duplicate (repeated clip on the same channel within
a short time window), channel duplicate (a repeated clip later on the same channel), network duplicate (a repeated clip on
another channel in the same network or another station under the same broadcaster), global duplicate (a repeated clip on a
completely different channel, not necessarily part of the same network).
No Yes
Sentiment An automated sentiment rating (positive, neutral, negative) based on the clip’s content.
Available only in Super Profiles with Auto-Summary enabled.
Yes Yes
Link A direct URL link to access the clip or content. No Yes
Is Mention A system flag indicating a detected keyword instance within a clip. Yes No
Mention ID A system identifier linking the detection to a specific keyword mention inside the clip. Yes No
A An internal processing field used by the system for indexing or classification. Yes No
Clip Start Timestamp The precise point in the broadcast where the relevant clip begins. Yes No
Hit Timestamp The exact moment within the broadcast when the keyword or topic appears. Yes No
Headline An automatically generated short summary highlighting the main point of the clip. Available only in Super Profiles
with Auto-Summary enabled.
Yes No
Summary An automatically generated longer summary describing the content in more detail. Available only in Super Profiles with
Auto-Summary enabled.
Yes No

4. Core Analytics Capabilities

The platform provides automated topic and entity detection, sentiment and trend analysis, volume and reach metrics, and customizable dashboards that transform broadcast data into actionable insights.

The platform analytics include:

5. What You Can Do as a User

Users can Monitor key topics, receive instant alerts, and review broadcast clips with ease. Identify critical moments, build custom dashboards, and export high-quality data or integrate outputs directly via our API.

Available Features:

6. Source Coverage

eMM captures broadcast data from a global network of user-generated content, TV, radio, and online channels and transforms each source into structured, searchable intelligence.

The list of sources our platform can cover:

7. Analytics Demonstration (Jupyter Notebook)

Access clips, transcripts, metadata and analytics through the platform, export tools and API, enabling flexible workflows.

Type of workflow you can showcase inside a notebook:

Showcasing how eMM data is loaded and filtered.



Jupyter Notebook example: Starbucks Media Coverage Timeline Chart.


Jupyter Notebook example: Pivot by channel and media type.


Code example of eMM data exported to BI tools.

8. Use Cases/Areas of Application

Data can be exported in structured formats for seamless integration into analytics environments.

A wide range of supporting analyst-driven scenarios:

Practical examples:


Examples of media coverage reports created using the eMM data.

9. Documentation, Training & Support

eMM provides a comprehensive support ecosystem, including a detailed user guide, a searchable Knowledge Base and Support Wizard for immediate answers. For advanced workflows, we offer technical documentation alongside optional live or remote training sessions tailored to your team’s needs.

10. Performance, Reliability & Security

The platform includes built-in tools, documentation and support resources that help you configure searches, manage data and get the most value out of the analytics workflow.

Key technical assurances:

11. Trials & Evaluation Options

Experience the power of eMM firsthand. Choose between a Free 3-Day Trial, accessible instantly via a Google login, or opt for a Custom Full Trial, following a personal demo. During a full trial, we collaborate with you to configure the platform specifically for your target markets and objectives.. Click here to schedule a demo right away!

13. What’s Included in Every Contract

Access to our API can be used to automate searches, retrieve clips and metadata and integrate the platform’s broadcast intelligence directly into your internal systems and applications

Standard offering:

Premium Add-Ons:

14. Case Studies and Testimonials

Clients consistently achieve measurable communication and market insights through real-world use of the platform.

A list of deliverables you can expect:



Global brands using the eMM data include:

Logos of clients using the eMM media data.

15. ROI & Value

eMM eliminates hours of manual effort through automation, ensuring our platform fits seamlessly into your existing analytical processes. You can tailor outputs, dashboards, alerts and data formats to match your team’s workflow.

Our automated approach saves you hours thank to:

Teams often save hours each week simply through automated alerts, transcripts, and dashboarding.

16. Why Choose eMM?

For 20 years, eMM has pioneered proprietary broadcast monitoring technology. Because we own our entire tech stack, our solution is uniquely scalable, flexible, and entirely free from third-party dependencies. We empower you to combine real-time clips, transcripts metadata, and analytics into a unified workflow that surfaces insights at the speed of news.

Here is why eMM is worth considering:

17. Pricing Structure

These outputs give you multiple ways to work with the data, depending on whether you need quick insights, detailed analysis, or direct integration into other tools.

Our packages are tailored based on:

Quotes are provided individually.

Ready to Explore eMM?

If you are evaluating broadcast data for your organization, we invite you to a personal consultation. We will walk you through sample data, coverage, analytics and integration options specific to your industry. Contact us to get started:

Contact us