Followers
11.6K
Engagement rate
0.1%
Average likes
2.50
Bio
DDi podcast | O podcast mais Diferente, Divertido e Inteligente que você vai ouvir… O podcast das AUTORIDADES! Todos os dias temos conversas que inspiram e transformam vidas… Às 19h. Se inscreve no CANAL, compartilha, comenta, ativa o sininho das notificações e já nos segue em todas as plataformas digitais.
Followers
93.9K
Engagement rate
0.1%
Average likes
57.50
Bio
Esse é o canal iSardinha Podcast, o canal oficial do Podcast do Investidor Sardinha. Aqui iremos compartilhar episódios completos e cortes do podcast além de conteúdos exclusivos pra galera que acompanha o Podcast.
Followers
222K
Engagement rate
0.2%
Average likes
437
Bio
Natalie Brunell is an investing journalist, podcaster and Bitcoin educator who hosts the Coin Stories Podcast on YouTube, Rumble, Apple, Google Play and Spotify. Follow Host Natalie Brunell: X https://twitter.com/natbrunell Instagram https://www.instagram.com/nataliebrunell Apple Podcasts https://podcasts.apple.com/us/podcast/coin-stories/id1569130932 Thank you for listening and sharing.
Followers
1.6K
Engagement rate
0.3%
Average likes
4
Bio
Seja bem-vindo ao Canal Djalma Campos!!! Entrevistas, notícias, entretenimento e cultura negra. Contato: Leia a newsletter semanal do Seis e Um Podcast: https://seiseumpodcast.substack.com/ Ouça o Seis e Um Podcast: https://open.spotify.com/show/1hEguswGBgmeKbE8AL6zvb Interesses: podcast, cultura negra, música, mídia digital, negritude, antirracismo e cultura negra
We use an advanced automated system to collect YouTube influencer profiles by regularly monitoring the YouTube database. Our system identifies the profiles of Brazil-based YouTube influencers within the podcast niche by focusing on the following key metrics:
Relevance to podcast: Our system analyzes each influencer's username, bio, and posts to confirm that their content is related to the podcast niche.
Location Verification: Our system checks for the inclusion of city or country names in profiles, and where necessary, we analyze flags, localized posts and profile bio data to confirm the influencer's location in Brazil.
Public Profiles Only: We exclude private profiles, even if they are Brazil-based and publish podcast-related content. Our system only extracts the public profiles of influencers.
Sufficient Number of Posts: Our system picks the influencer accounts that have a consistent history of posts. It proves that the influencer is active and engaged in their content.
Minimum Follower Count: Our system prioritizes Brazil-based podcast influencers with a minimum of 5,000 followers.
By analyzing these key statistics, our system automatically identifies the most relevant podcast influencers located in Brazil, extracts the data, and adds it to our database. The information is then processed, verified, and classified to ensure accuracy and relevance.
Heepsy uses an Al-powered algorithm to identify the most relevant podcast YouTube influencers in Brazil.
Identifying Influencer Location in Brazil:
Profile Location Information: First, we check if the influencers profile explicitly mentions city or country. If the profile contains certain specific cities from Brazil, or any other reference to Brazil, we automatically mark the profile as Brazil-based.
Bio and Content Analysis: If no explicit location is mentioned, our system scans the influencer's bio for any references to Brazil, such as cultural symbols, language spoken within Brazil, or location- specific hashtags that could indicate the influencer's connection to Brazil.
Use of Flags and Emblems: In cases when the influencer doesn't mention a specific city or region, we look for flags in the bio that indicates Brazil or any related symbols suggesting origin from Brazil.
Localized Content: We analyze the influencer's content for any localized posts that show landmarks from Brazil, events, or local cultural references. This can help us identify their location and target audience within Brazil.
Identifying podcast relevance:
Identifying Key Terms: We begin by searching for specific podcast-related terms, such as 'podcast' or any other industry terms in an influencers profile (including their name, bio, and posts).
Expanding with Synonyms and Variations: Our algorithm recognizes related terms within the industry and other podcast specializations. We also account for variations, ensuring a comprehensive view of the influencer's expertise.
Multilingual Detection: To ensure a global reach, we use an Al-based multilingual sentence transformer to detect influencers in different languages, so we don't miss out on valuable podcast voices around the world.
Assigning Relevance Scores: Each influencer profile is assigned a score based on their relevance to the podcast category. The higher the score, the more aligned their profile with your campaign needs.
Prioritizing Top Influencers: In our recommendations we prioritize the influencers with the highest relevance scores. This helps us to ensure that the profiles suggested are the best fit for your marketing strategy.
During the location identification process, we assign a score to each YouTube influencer profile that reflects its relevance to podcast and Brazil.
Then we use these scores to rank the profiles in our listings. Influencers with higher relevance scores in both categories - podcast and their connection to Brazil - are ranked higher in the results.
As a result, when you search for podcast YouTube influencers in Brazil in our database, the most relevant profiles appear first. This makes it easier for you to find the best match for your project.
We update our database monthly to ensure you have access to the most current and relevant podcast YouTube influencers in Brazil. The profiles listed reflect the latest data as of September 2026.
Our automated system continuously monitors YouTube, tracking changes in follower count, engagement levels, and content activity from podcast influencers in Brazil. This ensures that our database remains accurate and relevant and helps you find the best podcast YouTube influencers in Brazil for your campaigns at any given time.