Marketing Analytics

We're happy to announce that applications are open to signup for our Marketing Analytics course which will be held on February 23,24,25 + March 2,3,4,9,10. In this course, we will be having two teaching instructors that will walk through with you in understanding your customer better through digital media, and improve marketing efficiency and return on investment by connecting marketing efforts to results.

Part I: Marketing Analytics
Feb 23 - Introduction to business analytics
Feb 24 - Customer segmentation and profiling
Feb 25 - Customer lifetime value
Mar 2 - Predictive analytics for acquisition, retention, cross-promotion, and upselling

Part II: Digital Marketing
Mar 3 - Google analytics
Mar 4 - Consumer purchase journey mapping (online to offline) and customer insights
Mar 9 - Performance-driven email marketing
Mar 10 - Digital advertising performance analytics (multichannel ad campaign analytics

Contact person: Nany, <nany@dataviz.my>, +60192235792

  • Paper/notebook
  • Pen
  • Laptop
Language: English

Workshop level: beginner/intermediate

Cancellation policy:
In the event that participant wishes to cancel, our terms are as follows;
  • Within 1 week of the course, the cancellation will be charged in full (up to 7 days before the date of the course).
  • Cancellation earlier than 1 week of the course will get a full refund.
Postponement policy:
In the event that course has to be postponed. A new date will be offered. A representative from DataViz My will contact each participant directly. No additional charges for the amendment.

There are only limited seats offered, book your seat today! Sign up here: https://goo.gl/forms/qc4kG7K0gD4YOZhX2

Take a look at our brochure for more details: http://bit.ly/MarketingAnalytics2018

Fri Feb 23, 2018
9:00 AM - 5:00 PM MYT
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MITIN Conference Centre
One day pass SOLD OUT RM500.00
Part I stand alone package SOLD OUT RM1,500.00
Part II stand alone package SOLD OUT RM1,500.00
Part I and II combo SOLD OUT RM2,500.00
Venue Address
Faber Towers, Taman Desa, 58100 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia Malaysia
DataViz My
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