INTRODUCTION

AI (Artificial Intelligence) is swiftly becoming ubiquitous and one of the sectors that is undergoing the most sophisticated transformation is marketing. Salesforce reports that over half of high-performing marketers use AI for everything from chatbots to hyper-personalized campaigns that alter according to shopper actions and intent. 

AI in marketing is a blend of new age technology designed to ease and quicken daily business activities, while aiding in providing marketers with advanced solutions for increased revenue generation. 

Let's delve deeper into Artificial Intelligence’s impact on marketing both now and in the future. 

1. The Rise of Social Media Chatbots
The era in which robots performed assistive tasks in monotonous and mechanical manners has come to an end. AI chatbots today can think and respond like people. With NLP (natural language processing) and AI technology over the past couple of years, chatbots have gained the ability to comprehend user’s intent, hold ongoing discussions, and provide tailored assistance 24/7. 

Businesses have integrated chatbots in websites, apps, and social media for: 

- Currently responding to common queries 

- Suggesting products to users according to preferences 

- Providing assistance with purchases or reservations 

- Delivering unattended consumer support 

API gives marketers the chance to glean valuable insights for marketing strategies from social networks and monitor how these strategies impact brand perception. Most importantly, brands may integrate bots without having a tech guru and advanced technical infrastructures within their organizations. 

AI can process enormous quantities of documents and their related information in seconds. A lot of time is saved because consumers do not need to be in constant contact with your executive personnel. Doncorm is able to assist operators in acquiring essential information regarding current or new types of goods and services established in algorithms containing descriptions of goods and services submitted by clients.  According to statistics, chatbots are predicted to handle up to 80% of standard consumer engagement services. 

2. Hyper Personalization
Ever try to talk to or find something on the internet and receive a tailored response for example notification about a service from your bank? 

In 2020 an average person received around 3,000 brand messages per day. This is a tough figure to grasp, but two years later, that unprecedented amount seems set to multiply. In trying to lure public attention across a multitude of brands, retailers rely on perceptions that memes spread faster than great information. 

Multiple studies indicate that advanced analytics used by AI will allow 75% of organizations operating in business to hyper personalize to a great extent. AI hyper personalizes the offers to a target user through advanced data analytics undertaken through imperceptibly vast sources that capture any digital activity you undertake. 

This not only entails interacting with your social media accounts, where stretchable perception provides never-ending insights, but also includes observing your browsing history, the items you purchase, and even AI-enabled gadgets that listen and interact with you. 

Each one of us owns an increasing number of devices. AI learning requires exposure, generating a need for us to own an AI self-learning digital assistant on every device due to security concerns. 

Conclusion
Hyper-personalization exists as a phenomenon in marketing concerning modern technologies and influences for hyper-personalized online marketing. Utilizing data, behavioral mechanisms, and insight analysis, merchants are able to hyper-personalize offers for a particular individual in real-time. Hyper-personalization is taking customer messaging to a level beyond “how are you”, and gearing it towards “We understand you.” Whether it is the casual visitor to a website or an investor anticipating sensible business ideas, tailored offers are much more precise using data and much more likely to ensure the respondents act as desired.

Hyper-personalization resolves these challenges targeting and engaging clients. Every hyper-personalized offer is uniquely crafted to address specific business needs and objectives with the expectation customer will deepen their engagement and encourage conversion. To name a few, hyper-personalization manifests itself in the form of high-precision, automatically adjusted product recommendation systems on e-commerce websites, customized email and communication campaigns, and personalized landing pages.

In addition to that, hyper-personalization adds a lot of value to paid advertising campaigns. Artificial intelligence and sophisticated analytics integrated into secured collaborative business systems provide marketers with new means of audience segmentation.