Artificial intelligence (AI) has been around for sometimes, but it used to be a tool used by big science and academia to create futuristic systems and robotics. But things have been changing fast: AI has been invading the business world; giving rise to highly intelligent software applications (Apps) used to innovate and automate business processes. Digital Marketing is one of the niches that is being greatly impacted by AI.
Digital Marketing is driven by web-based software Apps, and artificial intelligence is transforming this niche by turning these Apps into intelligent devices that think, act and react in ways similar to humans. Online sales and other processes that used to be done manually or semi-manually, are now being automated by AI. Below is a list of software types that are commonly used for digital marketing, and how AI has innovated them.
Artificial Intelligence Apps for eMail Marketing
- These are email marketing applications for planning, executing, and monitoring email marketing campaigns.
- They provide templates to build emails.
- They are used to create and manage email lists.
- They are used to automate email campaigns
- They are used to capture leads with opt in forms or landing pages
Impact of AI
- AI enables advanced automation of marketing campaigns to ensure success.
- AI effectively optimizes email subject line to increase open and clickthrough rates.
- AI enables advanced tracking and analytics of past data to ensure greater future success.
AI generates optimized friendly content to increase co
Artificial Intelligence Apps for Web Tracking
A web tracker app resides in a website and collects information on visitors as they interact with the website. The information includes, at least, IP address, location and page interaction data, and is used mainly for marketing, advertising and security purposes. Trackers use mainly cookies, beacons and fingerprinting to track visitors, and assemble and store the collected data as a data profile.
Impact of AI
- Tracking collects huge amounts of customer data and only artificial intelligence can easily analyze such big data, extract business intelligence (BI) and discern actionable insights.
- AI uses extracted BI from customer data to make personalized recommendations to the customers/clients
- AI increases cybersecurity by using extracted BI from customer data to spot malicious activity patterns and act to prevent data breaches.
- AI uses extracted image data patterns to optimize and reduce website load time; thereby reducing bounce rate and increasing conversions.
- ML and AI-based SEO analytics tools can help optimize SEO and increase search ranking
AI Chatbots for Innovating Customer Services
Artificial intelligence chatbots are conversational bots trained on Natural Language Processing (NLP) that can answer queries from site visitors. . AI chatbots differ from traditional chatbots in that they don’t respond with prepackaged automated scripts. Instead, they are trained with Natural Language Processing of past data. As such, they increase in knowledge and become smarter as they feed on more data over time.
Impact of AI
- AI enables chatbots to understand human language and customer queries and respond in a way very similar to a person-to-person conversation.
- With NLP training, AI enables chatbots to be very smart and efficient. In fact, in many aspects, these bots are more efficient than humans.
- AI enables chatbots to treat customers and visitors with a personalized touch so that customers still feel that they are dealing with humans instead of machines.
- AI chatbots prove to be a major source of data for analysis to extract BI and actionable marketing and security insights.
AI Chatbot's for Intelligent Lead Capture and Management
Chatbots can capture and manage leads from websites. They also track communications and perform business intelligence to extract insights from accumulated data. These activities help convert the leads to paying customers.
Impact of AI
- AI chatbots are used to automate and optimize lead capture.
- Machine Learning (ML) and data analytics are used to identify new leads and gain insights into better customer and client retention
- AI algorithms are used to automate repetitive admin work
Artificial Intelligence Apps for Building Websites
A website builder is a software platform that enables you to easily and quickly build a website. They typically feature a drag-and-drop architecture that enables the builder to select a web page template and customize premade elements on the page.
Put simply, it’s artificial intelligence that uses machine learning to identify and implement web design trends. Put simpler still, it’s technology that can make websites on its own. Users state what they want and the ADI generates a personalized design.
Impact of AI
- A new technology called Artificial Design Intelligence (ADI) is using AI to radically transform web design and development.
- ADI is AI that uses ML to identify web design patterns and use these patterns to automatically design websites. As such, ADI can make websites on it’s own
- Users specify what they want and the ADI engine generates a few personalized designs that they can chose from.
- ADI eliminates tedious and technically demanding tasks in web development such as code writing and manual design, making it very easy to design and implement even professional websites without much technical skills.
Artificial Intelligence Apps for Video Conferencing
Video conferencing is a multimedia communication system which enables people at multiple locations to see and hear each other at the same time. The system uses webcams to exchange visual information, computer or phone audio to exchange voice information and chatting technology to exchange written information. Recent pandemic-driven extreme demand for video conferencing services has forced the development of the next generation conferencing systems with advanced AI-powered innovations.
Role of AI:
Here are some features that AI brings to the conference table:
- Machine Learning helps with voice-to-text translation; making note-taking easier, quicker and more accurate.
- With Natural Language Processing algorithms, we can autotune voices, cut down background noise and ensure better voice clarity.
- With AI driven Computer Vision technology, user background, video clarity and face position can be tracked and adjusted for clarity and privacy needs.
- AI virtual assistants or chatbots can act as great sources of data to capture consumer behavior patterns which can be used to promote better marketing campaign strategies.
