Industry-leading companies invest more in AI for digital marketing. Marketers must use it to enhance most activities.
Statista’s report Market Value of Artificial Intelligence (AI) in Marketing finds that AI in marketing was USD 15.84 bn in 2023. By 2028, the market size will increase beyond 107.5 billion.
With the fast adoption of OpenAI, companies are eager to use AI in marketing. Marketing leaders must emphasize the latest applications of AI. They will help to do better in most marketing activities.
AI is helping to innovate ideas, analytics, and monitoring. But, marketers need to understand which applications will be profitable for business revenue. Studying the new marketing landscape will help marketers understand its importance.
Here are the applications of artificial intelligence for marketers to remain competitive.
Chatbots and Intelligent Systems
Chatbots are becoming popular among marketers to get leads and boost customer engagements. They have become smarter through their language module.
The models are no different from any ordinary human language. This highlights the efficiency and capability of AI in mass text generation.
Chatbots’ addition to customer service will scale the customer base and generate revenue. Integrating a voice or text-activated chatbot allows customers to interact and gain information.
This ensures that brands connect well with their customers. They can use this connection to provide solutions with relevant content.
Prescriptive and Predictive Analytics
Predictive analytics manages conversions from the mass data that marketers have. AI-driven analytics read inbound communications and metrics like engagements, closed business, and channels. So, the prescriptive analytics tool help improves customer sentiment scores from customer behavior.
The analytics calculate sentiment scores based on historical customer behavior data. The score also improves marketing messages to boost engagements. Marketers can use the latest data to see the sentiment performance.
AI-based analytics provides simple automation for precise recommendations for data enhancements. For instance, AI helps to assess email subject line performance based on clicks and open rates. It also recommends striking subject lines that increase click and open rates.
These occur by automating content based on customer behavior data. AI algorithms are learning to predict and provide actionable insights based on predictions.
Voice Search and Voice Recognition
Only recently, voice search and voice recognition investments expanded with AI’s help. Natural language models and answer-providing ability have encouraged marketers to use AI applications.
Marketers can make brands’ content more appealing by taking integrating voice search. They can do it by:
- Combining customer-based long-tail keywords
- Include questions and short answer content
- Use natural language in content
Programmatic Advertising
Programmatic advertising has been there for some time. Evolving digital marketing technology is making brands use AI in advertising. AI has enhanced programmatic advertising across social media, mobiles, and videos. So today, advertisers can bid based on AI-led insights.
AI algorithms analyze a site visitor’s behavior. The data helps advertisers to include personalized ad content to serve them better. The information gained also helps to inform future optimizations and ad content creation.
Demand and supply-side Platforms (DSPs and SSPs) and data management platforms (DMPs) collect first-party data.
These inform decisions to build personalization ads and help in ad purchasing. This application of AI will help ad sellers to focus on results by offering personalized ads.
Also, predictive analytics based on AI will forecast ad spending decisions. It will also offer recommendations on expenditures and track other ad parameters. The results will help advertisers to improve programmatic advertising each time.
Use AI to Drive A/B Testing
Website A/B testing with AI optimizes images, option layouts, and CTA buttons. It is one of the best benefits of artificial intelligence in marketing. Many industry leaders use it to enhance their websites.
AI platforms only the top-performing variants until it identifies the best possible combination. This strategy helps boost website conversion rates and generate sales and revenues.
Use AI for Image Recognition
One of the most existing applications of artificial intelligence is Image Recognition Technology.
Customers can search for products by posting a referral picture. AI finds the product’s most relevant image or provides the exact product information.
AI’s most exciting benefit is Image Recognition Technology. It allows customers to post product pictures to find them on the website. This technology improves customer experience and satisfaction.
AI also helps in image tagging on social media apps like Facebook. The software allows image recognition to show them on personal feeds when others post them.
Also Read: Leveraging Artificial Intelligence (AI) to Optimize RevOps
Tap into the AI Opportunity
The applications of artificial intelligence are advancing for smart decision-making. Machines are getting smarter by learning to mimic humans more. Improved analytics will understand, plan, and execute to improve campaigns.
Yet, businesses need applications of AI that boost customer interactions, experiences, and conversions. They also need to see whether the application aligns with the marketing goals.
More and more tools available to marketers will have AI capabilities. So grabbing the AI opportunity will be necessary for more intelligent marketing efforts.
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