Trend Detection Podcast

Podcast technology

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Ratings

N/A

Episodes

261

Cadence

1.1 ep/wk

Latest episode

4 days ago

🧰 Free analysis for Trend Detection Podcast

🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

💡 Facts

📤Posts about 1.1× per week.

👥 Audience demographics

Estimated

Modeled from this creator's niche, platform & region — a planning estimate, not connected analytics.

Gender split

Male 72% Female 28%

Age · peak 18-24

13-1710%

18-2432%

25-3431%

35-4415%

45+12%

Top geographies

United States34%
India11%
United Kingdom8%
Brazil6%
Indonesia5%

Likely interests

TechnologyGadgetsSoftwareGaming

💚 Brand affinity

Estimated

Brands Trend Detection Podcast's audience is most likely to respond to — from detected sponsorships in this niche.

Keeps

Genshin Impact

Shopify

Dbrand

Nebula

Saily

Audible

Surfshark

Fiverr

NordVPN

About

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.Listen to gain insights from our bi-weekly live events and interviews with industry experts about all things predictive maintenance, IoT and digital transformation.Please subscribe via your selected podcast provider to be notified about future episodes.You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenanceDISCLAIMER: Unnecessary maintenance," "wasteful activities," or "over-maintenance" only exist when they are unrelated to safety and safety of personnel. Always verify if the maintenance intervals are safety-related; if so, please contact your manufacturer or consult your operating manual.