Chatbots: Through AI, chatbots interact with customers in real-time conversations on websites, social media platforms, or messaging apps. Tools like Chatfuel, ManyChat, and Drift make it possible for marketers to create and deploy chatbots for various applications, such as customer support, lead generation, or sales assistance.
Predictive Analytics: Predictive analytics tools make use of AI algorithms to analyze the data and generate forecasts for future outcomes in order for marketers to better make their decisions and predict customer behavior. Examples include predictive analytics offered by Salesforce Einstein, IBM Watson Analytics, and Google Analytics, among others, which allow marketers to identify trends, segment audiences, and personalize marketing campaigns.
Content optimization: AI content optimization tools will enable marketers to build and optimize content that will deliver better performance and engagement. Some of the examples are Clearscope, MarketMuse, and Atomic Reach. Atomic Reach is using AI analysis of content in making keyword suggestions and improving readability through user intent and search engine algorithms.
Personalization Platforms: AI applies personalization platforms to assist in giving a unique experience to the website, social media followers, and email subscribers. Through the personalization platform at Optimizely, Dynamic Yield, and Adobe Target, the marketer delivers personal content, product recommendations, and offers based on preferences, behavior, and demographics.
Marketing Automation: The use of AI and ML through marketing automation frees marketers from mundane and repetitive work as well as a streamlined workflow while allowing for a personalized experience at scale. Features of automation are available in tools like HubSpot, Marketo, Mailchimp on behalf of email marketing, lead scoring, drip campaigns, and CRM integration to help marketers build leads and gain conversions.
