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