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Description
Podscribe serves as an autonomous platform for measuring, attributing, verifying, and analyzing the effectiveness of podcast and audio advertising, assisting advertisers, agencies, and publishers in comprehending and demonstrating the tangible effects of their audio ad initiatives across various channels such as podcasts, streaming audio, and CTV, utilizing methods like pixel-based tracking, multi-touch attribution, and incrementality testing to link ad exposure with conversions and enhance ROI. The platform streamlines ad verification through AI-driven airchecks and quality assessments, ensuring ads are executed as intended, while offering real-time dashboards that feature metrics such as reach, frequency, geographic data, and audience insights, empowering teams to enhance performance and make informed decisions without the need for manual intervention. In addition to these features, Podscribe provides tools for competitive intelligence and benchmarking, delivers monthly rankings of the leading podcasts, publishers, and advertisers in the industry, and conducts audience segment analyses using household-level data, thereby facilitating improved media planning and audience exploration. This comprehensive approach not only optimizes campaign effectiveness but also aids in uncovering new opportunities within the evolving audio advertising landscape.
Description
Stella is a platform designed for marketing measurement, providing marketers with robust, scientifically validated insights into which advertisements, campaigns, and media channels effectively contribute to increased revenue. The platform is equipped with three primary tools: Incrementality Testing, Always-On Incrementality, and Media Mix Modeling (MMM). Through Incrementality Testing, Stella conducts geo-holdout studies, also known as inverse holdouts, to evaluate performance differences between test and control areas, effectively isolating the causal effects of advertisements as opposed to relying solely on attribution methods. This tool simplifies complex statistical processes, including causal inference and confidence intervals, allowing users to understand the potential outcomes without a specific campaign, thus uncovering the genuine “lift” attributed to each advertisement. Furthermore, its Media Mix Modeling feature employs a unique Bayesian approach to dissect historical marketing expenditures and various external influences, such as seasonality and promotional events, to assess the contribution of each channel to overall sales effectively. By leveraging these advanced methodologies, Stella empowers marketers to make informed decisions based on accurate data analysis.
API Access
Has API
API Access
Has API
Integrations
Shopify
Acast
Amazon
BetterHelp
DoorDash
Google Cloud Platform
Google Sheets
Meta AI
Microsoft Excel
Snowflake
Integrations
Shopify
Acast
Amazon
BetterHelp
DoorDash
Google Cloud Platform
Google Sheets
Meta AI
Microsoft Excel
Snowflake
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$2,000 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Podscribe
Founded
2016
Country
United States
Website
podscribe.com
Vendor Details
Company Name
Stella
Country
United States
Website
www.stellaheystella.com
Product Features
Podcast
Audio Editing Tools
Audio Recording
Audio to Text Transcription
Brand Safety
Create Cover Art
Distribution Tools
Import / Export
Live Broadcasting
Market Intelligence
Monetization / Advertising Management
Podcast Web Hosting
Reporting / Analytics
Sounds Effects / Music
Subscriber Management
Supports Multiple Hosts/Guests
Video Support