By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics in sports industry
    Here’s How Data Analytics In Sports Is Changing The Game
    6 Min Read
    data analytics on nursing career
    Advances in Data Analytics Are Rapidly Transforming Nursing
    8 Min Read
    data analytics reveals the benefits of MBA
    Data Analytics Technology Proves Benefits of an MBA
    9 Min Read
    data-driven image seo
    Data Analytics Helps Marketers Substantially Boost Image SEO
    8 Min Read
    construction analytics
    5 Benefits of Analytics to Manage Commercial Construction
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Predictive Analytics Methodologies Could Be The Secret To Great Emails
Share
Notification Show More
Latest News
data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics
data analytics reveals the benefits of MBA
Data Analytics Technology Proves Benefits of an MBA
Analytics
anti-spoofing tips
Anti-Spoofing is Crucial for Data-Driven Businesses
Security
ai in software development
3 AI-Based Strategies to Develop Software in Uncertain Times
Software
Aa
SmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > CRM > Predictive Analytics Methodologies Could Be The Secret To Great Emails
AnalyticsCRMPredictive Analytics

Predictive Analytics Methodologies Could Be The Secret To Great Emails

Ryan Farrell
Last updated: 2018/06/08 at 12:00 AM
Ryan Farrell
5 Min Read
predictive analytics for emails
Shutterstock Licensed Photo - By hanss
SHARE

MIT engineer Ray Tomlinson sent the very first email back in 1971. Nearly 50 years later, we are still trying to perfect the art of using this evolving medium. New advances in data technology are helping improve the way we use email. Predictive analytics methodologies are among these game changing technologies.

Contents
Predictive Analytics is Disrupting Email Communication in Fascinating WaysPredicting Behavior of Known ContactsUsing Customer Data to Create More Holistic CRM SolutionsHelping With Threat Detection Pertaining to Email Security Risks

Predictive Analytics is Disrupting Email Communication in Fascinating Ways

Email is a rapidly changing form of communication. The technology behind it used to be very basic, but today it employs a number of features that can help facilitate better communication between users.

Predictive analytics can change the nature of email communications in a number of ways. Here are some of the things to keep in mind.

Predicting Behavior of Known Contacts

It takes time to get to know anybody. It can be even more challenging online. People tend to be less inhibited when writing over the Internet, which means they are more likely to respond the way they feel like, without censoring themselves like they do in the real world.

More Read

data analytics for better email marketing

Email Marketers Use Data Analytics for Optimal Customer Segmentation

Albanian Bitcoin Investors Tap the Power of Predictive Analytics
Predictive Analytics Improves Trading Decisions as Euro Rebounds
10 Essential Data-Driven B2B Email Marketing Strategies
Perks of Predictive Analytics for Businesses Big and Small

This means that you need to take time to understand the behavior of people you communicate with. The best place to start is by studying their historical responses to various statements. Predictive analytics will be able to help people draw interesting insights that they would not reach on their own. This is easier to do with tools like Unibox, which help you organize messages by a single recipient.

Using Customer Data to Create More Holistic CRM Solutions

Customer relationship management (CRM) technology has been around since the mid-1950s, a couple of decades before the first email was ever sent. However, predictive analytics technology has dramatically increased its effectiveness over the last few years.

Customer data can now be uploaded directly to a CRM database. Previous CRM models focused primarily on engagement statistics, which forced administrators to draw open-ended conclusions. Predictive analytics gives a much more granular overview of the users in your CRM tool. It can also draw industry-specific conclusions. As the CRM collects more detailed data on behavior of customers from a variety of brands in a given industry, the tool will be able to make very nuanced predictions of their future behavior.

Helping With Threat Detection Pertaining to Email Security Risks

Email security is a major concern today. The growing number of digital security breaches has caused people to become more concerned with guarding against malware and social engineering strategies.

The good news is that there are a lot of predictive analytics solutions that can help fight against malware. The technology has made some improvements over the last few years, but still have a ways to go. In 2016, FireEye warned that current email threat detection algorithms weren’t sophisticated enough to combat online fraud and privacy risks, writing:

“Ninety-one percent of cyber attacks begin with a spear-phishing email…Email gateways that rely on commodity intelligence, anti-spam filters and antivirus software aren’t purpose built for advanced threat protection. Advanced threats such as ransomware and spear-phishing emails easily bypass the signature-based and reputation-based prevention mechanisms that traditional security solutions use. This means emails that contain malicious URLs and malware-laden attachments are delivered to users.”

Over the two years since that report was written, a number of new predictive analytics features have been added to fight against email security threats. These include:

  • Determining the likelihood that an email is sent for fraudulent purposes based on its country of origin or association with a suspicious IP address (such as a known Tor or VPN IP.)
  • Identifying the words that are most commonly used in spam emails and using them to create a fraud score of an email in your inbox. Modern email fraud scoring algorithms are notoriously effective.
  • Looking for patterns between an email and previous emails sent for malicious purposes.

Combatting fraud will be one of the biggest priorities in the years to come. Brands in every industry will need to take a close look at the predictive analytics fraud scoring solutions companies offer to avoid ransomware and other security risks. Fortunately, technology keeps evolving to help us make this happen.

TAGGED: email analytics, predictive analytics, predictive analytics methodologies
Ryan Farrell June 8, 2018
Share this Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics
data analytics reveals the benefits of MBA
Data Analytics Technology Proves Benefits of an MBA
Analytics
anti-spoofing tips
Anti-Spoofing is Crucial for Data-Driven Businesses
Security

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

data analytics for better email marketing
Analytics

Email Marketers Use Data Analytics for Optimal Customer Segmentation

12 Min Read
predictive analytics helps Albanian bitcoin investors
Blockchain

Albanian Bitcoin Investors Tap the Power of Predictive Analytics

9 Min Read
benefits of data analytics for financial management
Predictive Analytics

Predictive Analytics Improves Trading Decisions as Euro Rebounds

10 Min Read
data analytics in email marketing
Big Data

10 Essential Data-Driven B2B Email Marketing Strategies

8 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?