infer's model build process
Post on 17-Oct-2014
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DESCRIPTION
See how Infer goes about the model build process. It is a low risk, high value initiative that delivers instant impact.TRANSCRIPT
Infer’s Model Build Process
Proven to Create Lift
Customer Data Pre-Built Connectors
APIOpen
• Historical data from your automation systems
is used to train the predictive models
• Connectors sync the data so that Infer is able to
score leads and contacts and push updates
Automation data alone is not enough
You’ve got to be vicious about acquiring data
External Signals
Customer Data
• Employee Count
• Company Revenue
• Sells Globally
• First Trademark < 7 Years Ago
• Is Hiring Support Agents
• Credible Domain
• Actively Advertising
• Recently Expanded to New Office
• Raised Funding of $20-$100M
• Featured in Inc. 5000
• Uses Amazon Web Services
• Not Spammy
1,000+ Signals
External Signals
Machine Learning Data ScienceExternal
SignalsCustomer
DataMachine Learning
External Signals
Customer Data
Machine learning looks at all of the data and determines what signals are statistically relevant
Customer Data
External Signals
Machine Learning
Historical Backtesting
Train Set Test SetUsed to train the predictive model
Used to test the accuracy of the predictive model
Testing Framework
Machine Learning
External Signals
Customer Data
Customer Data
External Signals
Machine Learning
Historical Backtesting
Model Review
• What signals are used in the model
• How accurate is the model at predicting winners
• Recommendations for applying the scores
Review
Proven to Create Lift