Question 1

Audience Size and Listener Demographics

Accepted Answer

How Podscan Estimates Podcast Audience Size: Understanding Our Data & Methodology

In the fast-growing podcast industry, understanding a show's reach and audience size has become crucial for marketers, advertisers, and content creators. While exact listener counts remain closely guarded by hosting platforms, Podscan has developed a sophisticated estimation system that provides reliable audience size benchmarks.

Our Data-Driven Approach

At the heart of Podscan's audience estimation lies a comprehensive data collection and analysis system. We continuously gather information from numerous public and private sources across the podcast ecosystem. Our algorithms analyze chart rankings from major platforms like Apple Podcasts and Spotify, tracking how shows perform over time and across different regions.

We don't stop at simple rankings, though. Our system dives deeper by examining subscriber counts, social media following, review volumes, and engagement metrics. We also factor in show-specific characteristics like category popularity, publishing consistency, and episode frequency – elements that significantly impact audience retention and growth.

The Science Behind the Numbers

Podscan employs advanced machine learning models trained on vast amounts of industry data to generate our estimates. These models have been refined through extensive testing and validation against known audience sizes when available. By processing multiple data points simultaneously, our system

Question 2

Adding a Verification Token to Your Podcast's RSS Feed

Accepted Answer

| The quickest way to get verified is to place the Podscan verification token in the description of your latest podcast episode. (You can remove the token once the podcast is claimed.)

To add a verification token to your podcast's RSS feed so that Podscan can verify ownership, you'll need to log into your podcast hosting platform and find the section of the settings where your RSS feed is administered.

Since this is quite different from service to service, here are several help desk links for the most popular hosts. || If your provider isn't listed, reach out to their customer service. They might even be able to add the token to your RSS feed. ||| If your podcast provider does not allow you to add a verification token, you can temporarily put it into the show description or the description of a previous episode. Podscan will pick up the token anywhere in the feed. ||| Alternatively, if the platform allows you to set an owner email, you can use that field to supply the token.

RSS.com: [https://help.rss.com/en/support/solutions/articles/44002405274-how-to-enable-the-email-address-in-the-rss-feed](- RSS.com: https://help.rss.com/en/support/solutions/articles/44002405274-how-to-enable-the-email-address-in-the-rss-feed)
Libsyn: https://five.libsynsupport.com/hc/en-us/articles/4404659308827-About-Your-Podcast-Settings
Transistor: [https://support.transistor.fm/en/article/how-to

Question 3

Mastering Search Across Millions of Episodes

Accepted Answer

Podscan lets you search through millions of podcast episodes. That's like having a super-powered search engine just for podcasts. Let's learn how to find exactly what you need.

Main search interface

Two Ways to Search

Think of these as different zoom levels on a map:

Episode Search - Find specific conversations
Podcast Search - Find entire shows

Search type toggle buttons

Smart Filters

Podcast and episode search have several filters you can set: sorting, active fields, ignore/include, and categories.

Episode Search

Sorting can be done by Best Match, Newest, and Oldest.

Episode sorting Active fields can be selected on the right, in the "Search in:" section. You can restrict search to the title of the episode, its description, the transcript, or the name of the podcast that episode belongs to.

Episode search active fields

You can restrict which podcasts and which categories your search should happen in.

Episode inlude/exclude Available categories will change as you search:

![Episode categories](https://storage.crisp.

Question 4

Setting Up Webhook Integrations with Automation Services

Accepted Answer

Learn how to integrate Podscan's webhook system with popular automation platforms to create powerful workflows for podcast mention monitoring.

Understanding Podscan's Webhook System

Webhook Basics

Delivers real-time POST requests
JSON-encoded payloads
GZIP compression available
Includes full episode metadata and transcripts
Rate limited to protect your endpoints

Payload Structure

```json {
"alerttype": "filter", "alertid": "al432x7gldmoyjvbmp", "alertname": "Demo Alert",
"alertmatchedfilter": "\"demo\"",
"mentionid": "mna2z4x3ly5vkxoerk",
"podcastname": "Talking Technology with V I Labs", "podcasturl": "http:\/\/www.vi.ie\/",
"podcastid": "pdqazg9ymgg639r6w4",
"episodeid": "epdmnpjz9n885nr8oe",
"episodetitle": "Talking Technology With V I Labs Episode 70 - Live from Sight Village London", "episodedescription": "This week we\u2019re spead dating at Sight Village in London. How many stands can David talk to,…",
"episodeurl": "https:\/\/www.buzzsprout.com\/981793\/episodes\/16054066-talking-technology-with-v-i-labs-episode-70-live-from-sight-village-london.mp3", "episodetranscript": "[00:00:00] Welcome to Talking Technology with V I Labs. At V I Labs, we believe technology is the single greatest enabler for people with sight loss and …",
"episodepublishedagoins": 2781,
"episode_excerpt": "00:22:14 So what do you think is, like, what technology do you find young people

Question 5

Using the Firehose Webhook

Accepted Answer

Think of the Firehose Webhook as a direct pipeline sending new podcast data straight to your systems. It'sa near-realtime push API that sends newly transcribed episodes the moment our system makes them available.

Podscan Firehose API is a powerful tool for developers who want to access and integrate Podscan's large database of podcast data into their own applications or services. The API provides real-time access to the continually updated stream of podcast episodes and metadata, allowing developers to keep their applications up-to-date with the latest podcast content.

It's designed to be easy to use and flexible, accommodating a wide range of use cases and applications.

Whether you're building a podcast discovery app, a podcast analytics service, or any other podcast-related application, the Podscan Firehose API can provide the data you need.

What Is The Firehose?

Imagine a news wire service, but for podcasts. The Firehose:

Sends you episodes the moment they're published
Includes full transcripts
Delivers detailed information about each show
Works 24/7 without you checking anything

The Podscan Firehose API operates as a webhook-based push API. This means that it allows every team on Podscan to route data from every new episode to their servers, usually within minutes after it's published.

This system ensures that the data you receive is always the most current, allowing your application or service to stay up-to-date with the latest podcast episodes and info

Question 6

Setting Up Smart Keyword Alerts with Context

Accepted Answer

Smart keyword alerts help you monitor podcast mentions with precision by combining traditional keyword matching with context-aware questions. This guide will help you create effective alerts that capture relevant mentions while minimizing noise.

Overview

Smart alerts in Podscan consist of three main components:

Keywords and phrases to match
Context-aware questions to verify relevance
Notification preferences

Step-by-Step Setup

1. Creating a New Alert

Navigate to the Alerts section:
Click "ADD NEW ALERT":
Enable the alert using the toggle switch and give it a name. That's purely internal, so you can pick whatever you want.

2. Configuring Keywords

Add your keywords and phrases following these best practices:

Use quotation marks for exact matches (e.g., "custom cabinet")
Combine related terms (e.g., 'renovation', 'closet')
Consider common misspellings or variations

3. Adding Context-Aware Questions

Context-aware questions help filter out irrelevant mentions. This is particularly useful when you expect to get a lot of false

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