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安裝中文字典英文字典辭典工具!
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- Measured | Media Effectiveness Platform
Measured is the AI-powered marketing effectiveness platform trusted by enterprise brands Turn complex media portfolios into clear, accountable growth prog
- Top 10 Best Media Mix Modeling Companies Software for 2025 | Measured®
Measured is the pioneer in incrementality-based measurement, seamlessly integrating Media Marketing Mix Modeling with ongoing geo-testing and platform data Their platform is designed for marketers who want causal, privacy-safe, and actionable insights without the heavy lift of traditional Media Mix Modeling
- Measured | Solutions: Automotive
See what moves vehicles and value Measured shows how media influences vehicle and parts sales, trade-ins, and service revenue
- Measured | Solutions: Technology
Measured helps tech platforms link media spend to installs, activations, and recurring revenue while solving the challenge of attribution across fast-moving, multi-touch journeys
- Advanced Media Measurement Tools for 2025 | Measured®
Measured’s executive team is excited to share some of the measurement and optimization approaches that forward-thinking marketers should consider when making plans for a successful, high-performance New Year
- 5 Change Management Pro Tips for Marketers in 2025 - Measured®
Lean on experts: Partner with trusted advisors to help navigate complex challenges and opportunities Remember: The greatest risk lies not in changing, but in failing to change Are you ready to take your media measurement and optimization approach to the next level? Get in touch with a Measured expert today
- How to Run Geo Testing for Marketers: A Step-by-Step Guide | Measured®
Learn GEO testing for marketing incrementality in 6 steps Discover best practices, pitfalls how Measured automates geo for speed accuracy
- Incrementality MMM TL;DR: What’s the Difference? - Measured®
Modern platforms, such as Measured, automate data collection, experiment design, and continuous reporting, making it easier for marketers to implement these best practices and overcome challenges related to data quality, experiment design, and business disruption
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