What Is Logistic Regression? Learn How to Use It
G2
JULY 29, 2021
Life is full of tough binary choices.
logistic-regression 
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Propensity Modeling: Using Data (and Expertise) to Predict Behavior
ConversionXL
AUGUST 1, 2019
For example, do you know the difference between linear and logistic regression models? Regression is a good option because it’s very interpretable for non-technical audiences, which means it can be communicated easily. With regression, the whole process won’t take more than a few minutes.
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What is predictive analytics?
Martech
APRIL 23, 2024
A basic tool, it can give yes/no answers on the likelihood of an event occurring ( logistic regression ). Classification models. This model puts data into categories determined by the user’s criteria. A more elaborate form can offer binary answers to a series of related queries ( decision tree ).
Improving Survey Analysis: 3 Steps to Get More from Customer Feedback
ConversionXL
MARCH 11, 2019
Step 2: Choose your regression model. There are several types of regression models. The most common models are linear regression and logistic regression. Most studies use a linear regression model, but the decision depends on your data. Software can, and should, do the heavy lifting.
A Curious and Terrified Marketer’s Start to AI and Predictive Analytics
Heinz Marketing
MARCH 7, 2024
making a purchase, clicking on an ad). Logistic regression and gradient boosting machines are commonly used for propensity modeling. Propensity models are typically binary classification models that predict the probability of an event occurring (e.g.,
Lead Scoring 101: How to Use Data to Calculate a Basic Lead Score
Hubspot
AUGUST 27, 2015
Note, though, that the most mathematically sound method is one that employs a data mining technique, such as logistic linear regression. Logistic linear regression involves building a formula in Excel that'll spit out the probability that a lead will close into a customer. Data mining techniques are more complicated.
How to Find Correlative Metrics For Conversion Optimization
ConversionXL
MARCH 24, 2016
Run a regression. Regression analysis is a way to estimate the relationships between variables—it will tell you which of your user metrics most strongly predicts success according to your performance metric. Otherwise, the process of finding correlative metrics almost always looks like this : Define your performance metric.
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