Resources Data and measurement
How to maximize media mix models when Connected TV is on the plan

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Data and measurement
As a marketer, you’re always trying to figure out how your different marketing investments are helping drive business outcomes. You need to understand at a granular level which tactics and channels are having the greatest impact to inform future strategies and investment decisions. To that end, many advertisers use media mix models (MMM) to evaluate the performance of their entire marketing budget.
We know the campaigns you activate on The Trade Desk are just one piece of your brand’s marketing pie. If you are using MMM to measure that entire pie, we have some best practices to help you get the most out of your media spend and make smarter investment decisions going forward.
1) Treat programmatic as a buying methodology rather than a distinct channel
Whether you use multiple demand-side platforms (DSPs) or our platform alone, you probably buy across multiple channels, from display to audio to Connected TV (CTV). More granular data inputs into your MMM can often increase the accuracy of results.
2) Collect more data with flexible reporting solutions
Our platform offers flexible, open, and more transparent reporting solutions to support granular data collection for your MMM.
3) Lean on your team at The Trade Desk for support
Understanding your measurement strategy will enable your team at The Trade Desk to customize their recommendations and help you get the most accurate results from your MMM.
4) Prepare for changes ahead
With advancements in machine learning and changes to the privacy landscape further fragmenting traditional one-to-one and multi-touch attribution (MTA), the industry is working toward data-driven models that yield better optimizations. The Trade Desk can help you prepare for this future.
We hope these recommendations can empower you to get more accurate, reliable, and actionable insights from your MMM. As always, please reach out to your account team at The Trade Desk to learn more.
Resources Data and measurement
Resources Data and measurement
Resources Data and measurement