Table of Content

1.0 Executive Summary
1.1 Research Scope
1.2 Research Methodology
1.3 Research Methodology Explained

2.0 Overview
2.1 Growing Usage of Internet among Digitally Savvy Customers is Propelling Adoption of Digital Marketing
2.2 Digital Practices Have Brought Brands Closer to Customers, Giving Brands an Opportunity to Understand Consumer Psyche
2.3 Digital Marketing Has Evolved towards Higher Levels of Personalization
2.4 The Ubiquity of Smartphones Has Fundamentally Changed How Companies Connect with their Customers
2.5 Media Buying and Selling Processes have Been Transformed Radically with the Introduction of Programmatic Advertising
2.6 Sponsored Content and Influencer Marketing Have Seen Higher Conversion Ratios in Recent Times

3.0 Drivers and Challenges
3.1 Marketing Functions Have Turned Highly Data Centric, Forcing Marketing Teams to Revamp their Resource Mix
3.2 Marketers are Looking for Tools that Can Integrate with their Existing Solution Stack and Help them Extract Value out of Collected Data
3.3 Companies are Adopting Data Analytics Tools to Enable Better Social Media and Customer Relationship Management

4.0 Technologies Affecting the Future of Digital Marketing
4.1 Artificial Intelligence Tools Have Enabled Marketers to Automate a Large Number of their Manual Processes
4.2 Companies Have Used Artificial Intelligence to Keep up with Market Trends in Real Time
4.3 Companies Have Adopted Cloud First Practices to Bring Simplicity and Efficiency to their Data Management Practices
4.4 Cloud Solutions Have Been the Backbone of Digitization for Marketing Teams across Companies
4.5 Growing Popularity of Voice Assistants Has Opened up New Avenues for Brands to Connect with their Customers
4.6 NLP-based Text and Voice Conversations have Made it Possible for Brands to Develop a Deeper Level of Connect with Customers
4.7 Brands Have Been Able to Gain Granular Level of Insights on the Likes, Dislikes and Preferences of Customers
4.8 Companies Have Been Able to Justify their Investments on Data Storage Using Robust Data Analytics Tools

5.0 Conclusion and Recommendations
5.1 Conclusions and Recommendations
6.0 Industry Contacts
6.1 Industry Contact