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This video will give marketers the necessary introduction to carrying out geo-experimentation. This may not be enough to learn the concepts in-depth (these are very deep topics after all) but will still arm marketers with enough knowledge to start communicating with measurement experts or SaaS providers (3rd party incrementality testing tools/apps). This will ensure that they can leverage the power of structured geo-experimentation and other incrementality testing tools/packages, that are becoming absolutely essential to figure out where to put the next dollar in (basically which channels and strategies are incremental). In this video, I cover: Traditional geo-holdouts Causal inference methods like: Difference in Difference CausalImpact by Google Propensity Score Matching Interrupted Time Series Synthetic Controls Regression Discontinuity Design Instrumental Variables I also show how you can leverage these methods within ads platforms like Google Ads and Meta (Facebook) Ads. By discussing the alternatives like launching new campaigns or duplicates of existing campaigns etc. and the different trade-offs involved with each alternative. Here is the document shared in the video: https://docs.google.com/document/d/1k... #marketingstrategy #marketinganalytics #marketingmeasurement #marketingscience #performancemarketing #experimentation