The integration of AI in e-Commerce will boost your operational efficiency, strengthening your business competitiveness. Don't miss this opportunity to train with the revolutionary Relearning methodology!"

Campaign Optimization and E-Commerce Automation with Artificial Intelligence delivers a number of significant benefits, boosting the efficiency and performance of online business strategies. By harnessing the power of AI, companies can personalize and refine their advertising campaigns, dynamically adapting them to user preferences and behaviors.  Automation, on the other hand, frees up HR by taking over routine tasks, allowing teams to focus on creativity and innovation.

In this context, TECH has designed this Postgraduate diploma, which will delve into the application of Artificial Intelligence in the optimization of advertising campaigns. Professionals will be able to use Emarsys to implement personalized advertising, taking advantage of advanced segmentation and targeting techniques with Eloqua, to reach specific audiences at various stages of the customer lifecycle.

Likewise, the analysis of Digital Marketing data with Artificial Intelligence will be explored, addressing aspects such as the detection of hidden patterns and trends, the analysis of brand sentiment, the prediction of campaign results, and the evaluation of risks and opportunities in Marketing strategies. Finally, the implementation of chatbots and virtual assistants for customer service, fraud detection and prevention in transactions with Sift, and analysis to identify suspicious behavior in real time will be explored. In addition, ethics and responsibility in the use of AI will be promoted, ensuring transparency in the collection and use of data.

This completely virtual university syllabus will offer graduates the flexibility to follow it from anywhere and at any time. In this way, they will only require a device with an Internet connection to access all the learning materials. And all this will be carried out following the Relearning methodology, which focuses on the repetition of fundamental concepts to ensure optimal understanding of the content.

AI's predictive analytics capabilities will allow you to anticipate market trends and adjust strategies in real time, maximizing ROI"

This Postgraduate diploma in Campaign Optimization and E-Commerce Automation with Artificial Intelligence contains the most complete and up-to-date program on the market. The most important features include:

• Development of practical cases presented by experts in Campaign Optimization and E-Commerce Automation with Artificial Intelligence
• The graphic, schematic and practical contents with which it is conceived scientific and practical information on those disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies 
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

Campaign Optimization and Automation with AI will empower your informed decision making, effective personalization and your operational efficiency. Benefit from TECH's most innovative multimedia resources!"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

Thanks to this 100% online program, you will optimize advertising budgets through Artificial Intelligence, performing an automated tracking of results and adjustments in real time"

You will use tools such as Brandwatch for social media analytics, enhancing the identification of market niches and monitoring emerging trends"

The Postgraduate diploma in Campaign Optimization and E-Commerce Automation with Artificial Intelligence will provide comprehensive education on topics that are critical to today's digital success. From the application of Artificial Intelligence in advertising campaign personalization and predictive analytics to maximize ROI, to the implementation of advanced automation tools and segmentation and targetingtechniques, this program will provide professionals with the skills and knowledge necessary to design and execute effective eCommerce strategies.

You will cover Marketing data analysis with Artificial Intelligence, AI integration in the conversion funnel and fraud detection and prevention in online transactions"

Module 1. Campaign Optimization and AI Application

1.1. Artificial Intelligence and Personalized Advertising with Emarsys

1.1.1. Accurate Audience Targeting Using Algorithms
1.1.2. Product and Service Recommender
1.1.3. Conversion Funnel Optimization

1.2. Advanced Ad Targeting and Segmentation with Eloqua

1.2.1. Segmentation by Custom Audience Segments
1.2.2. Targeting by Devices and Platforms
1.2.3. Segmentation by Customer Lifecycle Stages

1.3. Optimization of Advertising Budgets by means of Artificial Intelligence

1.3.1. Continuous Optimization based on Data
1.3.2. Use of Real-time Ad Performance Data
1.3.3. Segmentation and Targeting

1.4. Automated Creation and Distribution of Personalized Advertisements with Cortex

1.4.1. Generation of Dynamic creativities
1.4.2. Content Personalization
1.4.3. Optimization of Creative Design

1.5. Artificial Intelligence and Optimization of Marketing Campaigns with Adobe TArget

1.5.1. Multiplatform Distribution
1.5.2. Frequency Optimization
1.5.3. Automated Tracking and Analysis

1.6. Predictive Analytics for Campaign Optimization

1.6.1. Prediction of Market Trends
1.6.2. Estimating Campaign Performance
1.6.3. Budget Optimization

1.7. Automated and Adaptive A/B Testing

1.7.1. Automated A/B Testing
1.7.2. Identification of High Value Audiences
1.7.3. Optimization of Creative Content

1.8. Real-time Data-driven Optimization with Evergage

1.8.1. Real-time Tuning
1.8.2. Customer Life Cycle Forecasting
1.8.3. Detection of Behavioral Patterns

1.9. Artificial Intelligence in SEO and SEM with BrightEdge

1.9.1. Keyword Analysis using Artificial Intelligence
1.9.2. Advanced Audience Targeting with Artificial Intelligence Tools
1.9.3. Ad Personalization using Artificial Intelligence

1.10. Automating Technical SEO Tasks and Keyword Analysis with Spyfu

1.10.1. Multichannel Attribution Analysis
1.10.2. Campaign Automation using Artificial Intelligence
1.10.3. Automatic Optimization of the Web Site Structure thanks to Artificial Intelligence

Module 2. Analyzing Digital Marketing Data with Artificial Intelligence

2.1. Artificial Intelligence in Data Analysis for Marketing with Google Analytics

2.1.1. Advanced Audience Segmentation
2.1.2. Predictive Trend Analysis using Artificial Intelligence
2.1.3. Price Optimization using Artificial Intelligence Tools

2.2. Automated Processing and Analysis of Large Data Volumes with RapidMiner

2.2.1. Brand Sentiment Analysis
2.2.2. Marketing Campaign Optimization
2.2.3. Personalization of Content and Messages with Artificial Intelligence Tools

2.3. Detection of Hidden Patterns and Trends in Marketing Data

2.3.1. Detection of Behavioral Patterns 
2.3.2. Trend Detection using Artificial Intelligence
2.3.3. Marketing Attribution Analysis

2.4. Data-driven Insights and Recommendations Generation with Data Robot

2.4.1. Predictive Analytics Thanks to Artificial Intelligence
2.4.2. Advanced Audience Segmentation
2.4.3. Personalized Recommendations

2.5. Artificial Intelligence in Predictive Analytics for Marketing with Sisense

2.5.1. Price and Offer Optimization
2.5.2. Artificial Intelligence Sentiment and Opinion Analysis
2.5.3. Automation of Reports and Analysis

2.6. Prediction of Campaign Results and Conversions

2.6.1. Anomaly Detection
2.6.2. Customer Experience Optimization
2.6.3. Impact Analysis and Attribution

2.7. Risk and Opportunity Analysis in Marketing Strategies

2.7.1. Predictive Analysis in Market Trends
2.7.2. Evaluation of Competence
2.7.3. Reputational Risk Analysis

2.8. Sales and Product Demand Forecasting with ThoughtSpot

2.8.1. Return on Investment (ROI) Optimization
2.8.2. Compliance Risk Analysis 
2.8.3. Innovation Opportunities

2.9. Artificial Intelligence and Social Media Analytics with Brandwatch

2.9.1. Market Niches and their Analysis with Artificial Intelligence
2.9.2. Monitoring Emerging Trends

2.10. Sentiment and Emotion Analysis on Social Media with Clarabridge

2.10.1. Identification of Influencers and Opinion Leaders
2.10.2. Brand Reputation Monitoring and Crisis Detection

Module 3. Artificial Intelligence to Automate e-Commerce Processes

3.1. E-Commerce Automation with Algolia

3.1.1. Customer Service Automation
3.1.2. Price Optimization
3.1.3. Personalization of Product Recommendations

3.2. Automation of Purchasing and Inventory Management Processes with Shopify Flow

3.2.1. Inventory and Logistics Management
3.2.2. Fraud Detection and Fraud Prevention
3.2.3. Sentiment Analysis

3.3. Integration of Artificial Intelligence in the Conversion Funnel 

3.3.1. Sales and Performance Data Analysis
3.3.2. Data Analysis at the Awareness Stage
3.3.3. Data Analysis at the Conversion Stage

3.4. Chatbots and Virtual Assistants for Customer Service 

3.4.1. Artificial Intelligence and 24/7 Assistance
3.4.2. Feedbacks and Responses 
3.4.3. Generation of Queries/Responses with Artificial Intelligence Tools

3.5. Real-time Price Optimization and Product Recommender thanks to Artificial Intelligence with the Google Cloud AI Platform

3.5.1. Competitive Price Analysis and Segmentation 
3.5.2. Dynamic Price Optimization
3.5.3. Price Sensitivity Forecasting

3.6. Fraud Detection and Prevention in e-Commerce Transactions with Sift 

3.6.1. Anomaly Detection with the Help of Artificial Intelligence
3.6.2. Identity Verification
3.6.3. Real-time Monitoring with Artificial Intelligence
3.6.4. Implementation of Automated Rules and Policies

3.7. Artificial Intelligence Analysis to Detect Suspicious Behavior

3.7.1. Analysis of Suspicious Patterns
3.7.2. Behavioral Modeling with Artificial Intelligence Tools
3.7.3. Real-time Fraud Detection 

3.8. Ethics and Responsibility in the Use of Artificial Intelligence in E-Commerce

3.8.1. Transparency in the Collection and Use of Data Using Artificial Intelligence Tools with Watson
3.8.2. Data Security
3.8.3. Responsibility for Design and Development with Artificial Intelligence

3.9. Automated Decision Making with Artificial Intelligence with Watson Studio

3.9.1. Transparency in the Decision-Making Process
3.9.2. Accountability for Results
3.9.3. Social Impact 

3.10. Future Trends in Artificial Intelligence in the Field of Marketing and E-Commerce with REkko

3.10.1. Marketing and Advertising Automation
3.10.2. Predictive and Prescriptive Analytics 
3.10.3. Visual e-Commerce and Search
3.10.4. Virtual Shopping Assistants

You will analyze the future trends of AI in Marketing and Electronic Commerce with REkko, acquiring a comprehensive and advanced vision of the key tools and strategies in this field”