Mine Your In-House Data and Build Predictive Models to Find High-Conversion Audience Segments

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Mine Your In-House Data and Build Predictive Models to Find High-Conversion Audience Segments

Walter Paliska (Vice President of Marketing, dotData Inc.)

Brandon Bednar (Digital Marketing Manager, dotData Inc.)

Location: Expo Hall Stage

Date: Wednesday, September 27

Time: 1:45 pm - 2:25 pm

Pass Type: All Access Pass, Main Conference Plus, Main Conference, Digital Pass - Get your pass now!

Audience Level: Intermediate

Session Type: Session

Track: Analytics & Data

Vault Recording: TBD

Audience Level: Intermediate

How do you maximize your digital marketing conversion rates? Join dotData VP of Marketing Walter Paliska, and dotData Digital Marketing Manager Brandon Bednar for an in-depth session on how you can leverage Machine Learning and the power of feature engineering to mine your in-house data and build predictive models that will drive campaign conversions. See a real-life example of how dotData used its automation technology without the help of data scientists to create a digital marketing campaign that exceeded all expectations.

Takeaway

See a concrete example of how dotData used in-house data to build predictive scores for LinkedIn Campaigns
Learn a scientific approach to identifying hidden audience segments with the highest probability of conversion
How to implement a feedback loop that will continuously improve your predictive models and campaign performances