|
|
|
|
|
|
Multichannel Marketing
Attribution with Automated
Machine Learning |
|
|
How automated machine learning
offers the shortest path to success |
|
|
|
|
|
|
|
|
|
Companies are spending more than ever on marketing. According to the Harvard Business Review, it is estimated that global spending on media is expected to reach $2.1 trillion by 2019. But is all that money effective in producing improved ROI? Without knowing which channels are driving sales, or more specifically, which individual marketing activities are working, marketing spending is a black box.
On this webinar, Data Scientist Colin Priest of DataRobot will explain the importance of multichannel, multi-touch attribution to accurately measure the success of your marketing efforts – and how automated machine learning offers the shortest path to success.
You'll discover:
| |
|
|
|
• |
How proper attribution solves common marketing inefficiencies |
|
|
• |
How machine learning provides a way to map the consumer’s path to purchase |
|
|
• |
How DataRobot allows you to create sophisticated marketing attribution models |
|
|
|
|
|
|
|
|
|
|
Speaker:
Colin Priest, Data Scientist &
Director of Product Marketing, DataRobot
|
|
|
|
|
|
|
|
|
|
|
DataRobot, Inc | One International Place Boston MA 02110
|
Introduction to Time Series Analysis in Python