Generative AI is reshaping Marketing and Advertising processes by Introducing solutions for Marketing Forecasting, Lead Generation and Targeted Advertising with Analytics Capabilities-
Optimized Content Creation and Curation
Chatbots, Image Detection, Voice and Speech Recognition
Send Time Optimization, Recommendation Engines
Integration with CRM
Consumer and Brand Usage & Customer Clustering
Streamlined Workflows
How Generative AI Is making Marketing more Efficient and Consumer-Focused?
Improved capacity to find information on Google, simplify and explain search improvements using Artificial Intelligence and algorithms such as Page Rank using Deep Learning, integration with Dynamic Ontologies formation.
Automated process to buy and sell advertisement inventory through an exchange connecting advertisers to publishers. Real-time bidding for inventory across mobile, display, video, social channels, and television.
Predictive Analytics integrated with Deep Learning, Five Forces Analysis, Market Segmentation, Image Analysis, Cognitive Applications. It involves Insights from Marketing Data, including the quantifiable nature of marketing data (clicks, views, time-on-page, purchases, email responses).
Solutions for Enhancing Marketing and Sales Strategies with AI and ML.
It includes Recommendation Engine, Content Targeting, Audience Targeting, Distance Targeting, Custom Messaging, Tailored Advertising. It has Custom Affinity Segments, Demographic Layering, Life events Targeting, and Look-Alike Targeting.
Diversify communications using connected televisions and digital audio, Pay per Click Advertising, Decentralised Networks, Mobile-First Advertising, Effective Video Advertising, Location-Based Advertising, Micro-moments on consumers.
Obtain customer data, understand search engine data, re-engaging lost leads, higher conversion rate, customized content, automated email campaigns. It sends personalized emails, improving customer segmentation and enhancing click-through rates.
Monitor customer usage through Real-Time Experience Tracking (RET) and prioritizing depending upon their importance. Best Click-through Rates and View Rates to detect and buy advertising based on the rating of channels.
Customer Sentiment Analysis captures user's reactions after a new product or feature launching, Brand Monitoring and Management, filtering the positives and negative aspects, and customizing product and service offerings.
It includes Online Personalisation, Prescriptive and Adaptive Personalisation, Hyper-Personalisation, Personalised Videos, targeting campaigns, personalization in Google Adwords.
Responsible Artificial Intelligence can tackle Customer's challenges by ensuring the ethical, transparent, and accountable use of AI technologies for recommendations, anomaly detection, segmentation, and risk assessment processes.
24 March 2023
Find out more about How your Enterprise can transform Marketing and Advertising Operations with Generative AI
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