It is worth reviewing the scope of the functions that can be carried out by AI-powered chatbots–from CRM to lead prospecting.  It is no secret that “smart” bots can be used to reduce the burden on customer-facing teams through automated query resolution, and can ever serve as virtual assistants–freeing up valuable time amongst human staff.  The efficiency is not only in saved man-power, but in speed: an AI-based system is capable of answering multiple user queries at a time, and doing so accurately.  For this reason, chatbots promise to save businesses as much as $8 billion annually in outreach budgets during the coming years.

Lead gen is the area in which the most headway has been made.  By asking a set of pre-programmed questions, a chatbot can determine whether or not a prospect is interested in your product; and only pass them onto a sales agent when the probability for conversion is high.

Detection is also drastically augmented when a website is equipped with AI technology.  As it can prevent users from abandoning a website by requesting feedback and sharing special deals when trigger events–such as a prospect leaving your site–occur.  Hence AI is the key to enhancing CRM and streamlining query resolution in less time for a lower cost.

Continuous learning is the basis of predictive analytics.  A smart system is capable of analyzing massive datasets, making calculations quickly to come up with actionable insights–including forecasting when predictive analytics avails itself of machine learning.  Such vital information can be used to personalize UX as well as outreach campaigns; thereby improving both customer engagement and satisfaction.

In the current online ecosystem, a higher degree of personalization is imperative.  An online business can significantly improve UX by tracking users’ journey as they navigate a website.  The key is to garner valuable insights into their online behavior.  Chatbots can be used to gather such data at lightning speed; and make important calculations by extrapolating patterns.  In addition to greeting returning visitors and customers with their names at strategically-chosen times, the AI platform can also use their browsing and order history.

High performance predictive analytics is only possible with AI technology.  By performing these sophisticated functions, the system can then recommend content, services or products that prospective shoppers might be interested in–just like Amazon shares suggestions based on each user’s shopping history.

AI lead gen tools optimize what has normally been a cumbersome, time-consuming process.  AI-driven micro-targeting enables a company to tailor each marketing campaign for a specific audience, maximizing the probability that the effort will appeal to each target.  An AI platform like MarketingMachine.AI is able to segment leads according to the content browsing history, click-throughs, social media activity, and other patterns of online behavior.

With predictive analytics, the key is to use customized content to keep them engaged; but only AI is capable of keeping up with the rapid rate of incoming data.  Such systems provide powerful predictive analytics to help clients make pivotal decisions.  Meanwhile, the tech company, Zoho One offers a fully-integrated small business operations suite, which is equipped with the virtual assistant: “Zia”.  The idea is to target messages to a group with similar needs or interests.

AI systems can set up automated email campaigns, each of which is driven by customer data and behavior.  Such technology makes use of order history, user interest, and browsing behaviors to create and send automated emails on the occurrence of pre-determined trigger events: users signing up for a membership, cart abandonment, or opting to unsubscribe from a list.  Micro-targeting translates to higher sales, as well-crafted emails have a much higher open rate.  This is due to optimized subject lines and content, and precise mailing times when users are more likely to check their mail.

Accurate segmentation of leads is essential for the success of any marketing campaign. An AI is adept at dividing a target audience into groups based on their online behavior and interactions on social media channels.  The AI can then segment potential buyers based on recurring behavior (as well as the latest market trends) to execute highly personalized marketing campaigns.

AI-powered lead gen platforms use machine-learning algorithms to generate market intelligence.  They do this by scouring data from myriad organizations to dynamically cull best-fit leads from the endless noise of online crowds.  This enables companies to expeditiously identify the most promising prospects, thereby creating a continuous pipeline of high-quality leads.

Customers are increasingly expecting AI-driven experiences.  With automated lead gen, online businesses can save time and money by boosting the efficiency of their sales and marketing teams…all while increasing the ROI of each targeted campaign.