Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
    New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
    6 Min Read
    How Data Analytics Is Reshaping Patient Financing Decisions
    How Data Analytics Is Reshaping Patient Financing Decisions
    13 Min Read
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Nine Really Simple Segmentation Strategies
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Nine Really Simple Segmentation Strategies
Data Mining

Nine Really Simple Segmentation Strategies

SundeepKapur1
SundeepKapur1
3 Min Read
SHARE

Segmentation can be as important as any other component of message development. While most segmentation requires some preference data there are others that can be leveraged if you’re just starting out or have limited information/ time:

Segmentation can be as important as any other component of message development. While most segmentation requires some preference data there are others that can be leveraged if you’re just starting out or have limited information/ time:

1 – The Random A:B Split – Just divide the list, alter something and fire… see which message performs better.

 

More Read

DIALOG Keynotes – ILOG and IBM
Face Tracking an avatar! (via KevinAires)
SOA is necessary for agility but not sufficient
A new IBM national survey of 30,000 U.S. consumers calls…
As Data.gov Goes Dark, 50 Startups Prepare to Take its Place
2 – Tuesday/ Thursday Segment – Take the item above a little further; randomly split a fraction of the list and send on a particular day. Take the better performing message and deploy to the remainder of the list (and remember, it’s just a name, you don’t have to use Tuesday or multiple days…)

 

These strategies need some additional data, enhance your sign-up process to include preferences – this data forms the foundation for a lot of the personalization that is possible:

 

3 – Message Type – Divide based on those who want HTML, text or rich text messages; include a link to the other types, just so the recipient can see the available options.

 

4 – Timing – Release by time zone or, if possible, ask your user what time they would like to receive your alerts (morning, afternoon etc.)

 

5 – Source code Segmentation – Your recipients didn’t just appear, they signed up through an inquiry, purchase, directly from your website. They could have found you as the result of a search, perhaps a contest entry, partnership or append so leverage that information.

 

Alternatively, you could bypass the whole personal preferences and just base it on the recipient’s actions – and not just the buyer/ non-buyer segments.

 

6 – Operational Segmentation – Target people following the order process or an incomplete transaction; the same applies to your non-responders or inactive list.

 

7 – Transactional Segmentation – Your typical opens, clicks or responses can all be leveraged. Watch for multiples, repeated clicks on a certain section/ item can tell you a lot about a person… and help you generate future offers.

 

8 – First Responders – By tracking overall counts, you’ll quickly identify the first responders; acknowledge them and put them into their own group to receive advanced notice of your communiqués.
9 – Your Dead File – These are the non responders. Get creative, get aggressive, try things out on them. Things can only get better.

 

These suggestions don’t contemplate the added potential gained from survey data… so keep dividing your list and make the messages as personalized as possible.
TAGGED:segmentation
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
Analytics Big Data Exclusive
data driven businesses
How Data-Driven Businesses Choose Storage That Reduces Risk and Drag
Big Data Exclusive
Operational Data Becomes Business Value in the Age of AIoT
Operational Data Becomes Business Value in the Age of AIoT
Big Data Exclusive Internet of Things
growth guide
Growing Smarter: The Role Of Strategic Partnerships From Startup To Scale
Infographic News

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

The Enterprise 2.0 Consultant

5 Min Read

Segment… not Slice & Dice

3 Min Read

The Nerd-Geek Venn Diagram Applied to Analytics

2 Min Read

Twitter Analytics: Cluster Analysis reveals similar Twitter Users

6 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 is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?