AI News, Predictive Machine Learning — Behind The Scenes at Fliptop (and Predictions for the Future of MarTech)
- On Thursday, October 4, 2018
- By Read More
Predictive Machine Learning — Behind The Scenes at Fliptop (and Predictions for the Future of MarTech)
In recent years, however, technology has made it easier to bridge the gaps between siloed data sources, and provide a unified view of data across platforms.
While predictive technologies may appear simple on the surface—input data, output predictions—anyone who’s attempted to manually derive insights from these enormous, disparate data sets knows that there’s a lot happening behind the scenes.
The Fliptop predictive platform, or as we call it, Darwin, automatically builds an array of machine-learning models and applies dozens of statistical measures to determine which model is most predictive at each stage of the marketing and sales lifecycle.
After appending external data signals, and pre-processing the data set to ensure high quality, we have a list of examples, each with a set of associated features.
This data, called “training data” is used as input to a learning algorithm, which outputs a model, as shown in the figure below.
A random forest consists of multiple decision trees (usually, the more trees, the better.), and a simplified example of what a predictive lead scoring decision tree might look like follows:
If we build the exact same tree multiple times, this doesn’t give us any more information than the original tree (since each tree will make the exact same prediction).
To solve this problem, random forests add some unpredictability to the equation, helping us understand which features will be most influential in driving conversion.
The final output is four predictive models—one for leads, contacts, accounts, and opportunities—to help our customers predict conversions at every stage of the lead lifecycle.
While every organization’s needs are unique, consider that following trends that machine learning and predictive marketing will enable in the very near future: Today, thousands of companies are already reaping the benefits of predictive marketing.
From pinpointing leads most likely to convert, to account-based targeting, to pipeline forecasting and campaign optimization, predictive has empowered functions across the organization.
We’ve entered the age of the predictive enterprise and the companies able to harness their data to make smarter, data-driven decisions will be the ones that win.
- On Tuesday, January 28, 2020
Decision Tree Algorithm & Analysis | Machine Learning Algorithm | Data Science Training | Edureka
Data Science Training - ) This Edureka Decision Tree tutorial will help you understand all the basics of Decision tree
Random Forest Tutorial | Random Forest in R | Machine Learning | Data Science Training | Edureka
Data Science Training - ) This Edureka Random Forest tutorial will help you understand all the basics of Random Forest ..
Query Model for Image Search based on User Clicks and NN Features - Dmitry Krivokon
Yandex School of Data Analysis Conference Machine Learning: Prospects and Applications We consider a problem of ..
Machine Learning Algorithms | Machine Learning Tutorial | Data Science Training | Edureka
Data Science Training - ) This Machine Learning Algorithms Tutorial shall teach you what machine learning is, and the ..
Logistic Regression in R | Machine Learning Algorithms | Data Science Training | Edureka
Data Science Training - ) This Logistic Regression Tutorial shall give you a clear understanding as to how a Logistic ..
How to Do Sales Win-loss Analysis with Watson Analytics
(Originally published on Jul 23, 2016) Understand your sales pipeline and uncover what can lead to successful sales opportunities to better anticipate and ...
ROC Curves and Area Under the Curve (AUC) Explained
Transcript and screenshots: Visualization: Research paper: .
Introduction to Risk Model
Before Quantopian, risk models were only available to deep-pocketed financial institutions. Today, anyone can use ours, for free. Join Quantopian's Academia ...
How Climate Scientists Predict the Future
Over the years, scientists have made a lot of predictions about how Earth's climate is changing, but they don't just pull those predictions from thin air. We're ...
Data Mining: How You're Revealing More Than You Think
Data mining recently made big news with the Cambridge Analytica scandal, but it is not just for ads and politics. It can help doctors spot fatal infections and it can ...