Predictive Marketing Analytics

One-Day Training

Schedule

Place : Le Meridien Jakarta Meeting Room Jl. Jend Sudirman No. Kav. 18 – 20, Jakarta Pusat
Start : 04 November 2019
End : 04 November 2019
Time : 08:30 - 17:00 WIB

Penyedia Layanan Pelatihan

Data Analitika Indonesia

Data Analitika Indonesia (DAI) is a training and consulting company to support services application of Data Science dan Business Intelligence for supporting external and internal Company Business Process. DSBI is a program that focuses on the application of AI, such as Machine Learning and Deep Learning in the business processes of a company through analysis and visualization of data by using various applications to support the improvement of the quality and accuracy of business decisions

See Details

Price

Participation Investment

Early Bird IDR 1.950.000 before October 15, 2019

2.200.000 IDR
for EKONID members
2.500.000 IDR
for Non-members

RSVP:
Mrs. Mei Tobing: mei.tobing@ekonid.id
or
Mr. Andrea Parestu: andrea_parestu@yahoo.co.id, 0813 1527 9726

Tentang Seminar Pelatihan

One of the most fundamental ways machine learning can improve marketing performance is by strengthening marketing identification and targeting. Specifically, you can focus on the identification of market personas that are really interested in what you have to offer. How much more impactful they can be.

Workshop Outline:

  1. Market Intelligence System with Machine Learning
    1. Market Identification and Targeting
    2. Media Planning and Implementation
       
  2. Consideration Engagement Intelligence System with Machine Learning
    1. Customer Demand Prediction
    2. Customer Churn Prediction
       
  3. Active Customer Engagement Intelligence System with Machine Learning
    1. Customer Satisfaction Improvement
    2. Customer Personalized Service Automation
  4. Customer Advocacy Intelligence System with Machine Learning
    1. Customer Influencer Identification
    2. Customer Response and Advocacy Improvement
    3. Account-Based Marketing Improvement

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