Create processes that ensure data quality. And remember
Posted: Sat Apr 05, 2025 5:32 am
The solution? Invest in data integration tools. – it’s better to have less data, but reliable data, than an ocean of uncertain information.
Assigning value to different marketing channels: The classic attribution problem. The customer sawFacebook advertising, clicked on Google Ads, and bought after receiving the email. Who should be credited with the sale?
Last Click Model: Simple but often misleading. It's like giving all the credit to the scorer and ignoring the passes that led to the goal.
Omnichannel models: More equitable, but also more complicated. It’s like trying to divide a cake between everyone who helped bake it—from the farmer who provided the flour to the pastry chef who added the final cherry.
The solution? Experiment with different attribution models. Use tools that allow bc database vietnam for multi-channel analysis of the customer journey. And remember – perfect attribution is a myth, but striving for better understanding is always valuable.
Interpreting data in context: Numbers don't lie, but they can be misleading without proper context.
Correlation vs. Causation: Increases in ice cream sales and drownings are correlated (both increase in summer), but one does not cause the other. Don't be fooled by apparent correlations.
Assigning value to different marketing channels: The classic attribution problem. The customer sawFacebook advertising, clicked on Google Ads, and bought after receiving the email. Who should be credited with the sale?
Last Click Model: Simple but often misleading. It's like giving all the credit to the scorer and ignoring the passes that led to the goal.
Omnichannel models: More equitable, but also more complicated. It’s like trying to divide a cake between everyone who helped bake it—from the farmer who provided the flour to the pastry chef who added the final cherry.
The solution? Experiment with different attribution models. Use tools that allow bc database vietnam for multi-channel analysis of the customer journey. And remember – perfect attribution is a myth, but striving for better understanding is always valuable.
Interpreting data in context: Numbers don't lie, but they can be misleading without proper context.
Correlation vs. Causation: Increases in ice cream sales and drownings are correlated (both increase in summer), but one does not cause the other. Don't be fooled by apparent correlations.