Insights Of Artificial Intelligence In Marketing

Insights Of Artificial Intelligence In Marketing

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Big data has become a key marketing asset.  Big data sets reveal patterns, trends, and associations that help marketing industry designers, marketers, and the rest of the content marketing team to create and execute a robust marketing strategy.  

Artificial Intelligence (AI) In Brand Management

Starbucks uses predictive analytics to deliver personalized marketing messages to its customers; for example, recommended drinks when a user visits a local store.

AI is relevant in brand-management, as it can be used for social listening, Chatbots, Certified SEO Expert content marketing recommendation, ad targeting, machine learning, and predictive analytics, among others. 

Listening To Social Networks 

Around 45% of the world’s population of nearly 3.5 billion people actively use social media daily. 

Social media is a goldmine of information; manual monitoring of social media is out of the question. So, this is where artificial intelligence and machine learning comes in. 

AI monitoring Dubai SEO agency can tell companies how people perceive their brands. 

They offer information on influencers, customer sentiment, trending digital marketing topics, public customer information, and brand-specific mentions.  

Digital Asset Management (DAM) 

Digital Asset Management is the process to organize, store, and retrieve rich media, and manage digital rights and permissions. Rich SEO Platform multimedia resources include images, videos, podcasts, and other multimedia content.

AI-powered DAM automates asset categorization, indexing, and metadata tagging. This accelerates the search, use, and reuse of digital marketing assets for the profitable delivery of brand campaigns.  

Search Engine Optimization (SEO)  

SEO is one of the bases of digital marketing. 

It involves a set of techniques to drive organic traffic to a website by ranking high on search engine results pages (SERPs). However, being visible on the first page of a Google SERP isn’t just about incorporating popular keywords into content marketing.  

Google has made in-depth knowledge of the intent of search engine queries to match and provide relevant results. This is also known as search intent. It is basically a “why” behind any search query.  

A content marketing piece with the correct search intent is ranked in the SERPs, ultimately increasing traffic to a website or web page.  

Google uses RankBrain, its first update to the machine learning algorithm, to carefully rank search results based on the search intent. RankBrain uses machine learning to detect the real intent behind a query and deliver more relevant results.  

Competitive Benchmarking  

Not all companies have the resources to monitor their competitors for competitive marketing benchmarks. AI simplifies the overwhelming task of tracking competitors through competitive analytics tools.  

The Crayon AI-enabled program tracks the competition’s fingerprint through various channels such as websites, social media, and mobile apps. 

It allows companies to scale their competitive intelligence program obtaining ten times the data in less time.  

Customer Service Solutions  

Companies are saving human resources and financial resources by incorporating AI into their customer service systems. 

Digital Genius and ChattyPeople automate responses to customer inquiries and direct concerns to the appropriate marketing departments.  

Customer service agents are freed from repetitive tasks and can focus on complex, high-level issues. With machine learning support solutions, customers enjoy faster responses and resolutions, while businesses experience operational savings.  

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