Digital Advertising 101

How to Develop a Winning Online Advertising Strategy

Offline Certification Programm

Today's digital advertisers require many skills to be successful: design, audience targeting, optimization, analysis, and more. Organic content channels are flooded and not reaching as many people as before, so paid advertising is an effective way to get your content to the top of people's feeds (and their minds). In this certification course, you'll learn everything you need to create a customer-centric advertising strategy, including journey-based advertising, bidding and targeting strategies, paid search, social media advertising, programmatic, reporting, and more.

Who Can Apply for the Course ?

  • Individuals with a bachelor’s degree and a keen interest to learn Digital Marketing and Marketing Analytics
  • IT professionals looking for a career transition in Digital Marketing
  • Professionals aiming to move ahead in their careers
  • Digital Marketing or Analytics Professionals
  • Freshers or final-year college students who want to build a career in Digital Marketing and Analytics

What roles can a Digital Marketing and Analytics expert play?

Who is this for?

  • Early learners who are interested in the topic of digital advertising and want to develop skills in this field.
  • Advertising and marketing professionals who want to learn new advertising tactics and refine their existing skillset.
  • Decision-makers who want to reevaluate their company’s advertising strategy or build a new one that aligns with the inbound methodology.

What you'll learn:

  • Advertise at every stage of the buyer’s journey
  • Create digital advertising campaigns that convert
  • Evaluate the performance of your digital advertising strategy

What roles can a Digital Marketing and Analytics expert play?

Marketing Manager

They decide how communication and marketing should take place for products including drafting and executing marketing strategies.

Brand Manager

They are responsible for creating a positive positioning of a brand or product in the eyes of the consumer.

Market Research Analyst

They are in charge of gathering market-related data and market trends and setting target customers.

SEO Expert

They ensure on-page optimization and improved website ranking on major search engines.

PPC Expert

They are experts in internet advertising, and are responsible for planning and optimizing online advertising campaigns.

Web Analytics Expert

They optimize a website’s design using data analytics to improve page views, user experience, and conversion rates.

Curriculum

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Module 1: Search Engine Optimization (SEO)

1.1 Introduction to Marketing and Advertisements
1.2 Introduction to Digital Marketing and Its Advantages over Traditional Marketing
1.3 Customer Centricity
1.4 What is SEO and how do Search Engines Work?
1.5 Understanding On-page and Of-page SEO In Detail
1.6 Keyword research
1.7 Technical SEO, Mobile SEO, and Schema Markups
1.8 Link building – Blogger Outreach and Other Techniques
1.9 Social SEO, Local SEO, and International SEO
1.10 SEO Audits
1.11 SEO Tools – SEMrush, Ahrefs, etc.
1.12 Algorithm Updates
1.13 How to Rank #1 on Google?

Module 2: Understanding Business Problems

2.1 Introduction to Business Problems and Hypotheses Formulation in the following domains:

  • Marketing
  • Retail

Module 3: Marketing Principles

3.1 Segmentation, Targeting, and Positioning

  • Understanding Consumer Behavior
  • Influences on Consumer Behavior
  • Product Mix Decision
  • Branding Decisions

Module 4: Marketing Mix Decisions

4.1 Designing Service Offering

  • Understanding Pricing Strategies
  • Channel Design Decisions
  • Channel Management Decisions
  • Developing Advertising Campaigns
  • Developing Sales Promotions
  • Sponsorship Campaigns
  • Managing Public Relations

Module 5: Branding Marketing and PR Communications

5.1 Brand Positioning
5.2 Engagement Strategy
5.3 PR Activities

Module 6: Marketing Analytics

6.1 Data Science in Marketing
6.2 Statistics for Data Science
6.3 Introduction to Supervised and Unsupervised Learning
6.4 Linear and Logistic Regression
6.5 Applications of Analytics – Market Basket Analysis, Customer Segmentation, and Customer Lifetime Value

Program Highlights

50+ Live Sessions across 6 Months

6 Months of Applied Learning

20+ Industry Projects and Case Studies

24*7 Support

Sweet Words From Clients

Hear What Our Clients Are Saying About Working With Our Team.

Highly recommend

"I came up with the idea to develop a useful app that will bring smiles to millions of minds. The team of SaaSByte has heard my side of the story and turned that into an interactive application. I will suggest this company as well."

Mario Speedwogan

May 21, 2020