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Leads and Artificial Intelligence

Using Artificial Intelligence for Lead Generation

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To succeed in lead generation, you need to have a constant stream of new leads. Your lead generation efforts need to be ongoing and sustainable so that you can continue to generate leads without exhausting all your available resources. In light of this, artificial intelligence (AI) has begun to play a bigger role in lead generation activities. AI is not just helpful but also affordable and widely accessible because of the availability of cloud services. Here’s how you can use AI in your lead generation efforts.

What is Artificial Intelligence?

Artificial intelligence is a technology that is designed to adapt to the changing needs of businesses by automating manual tasks. It can be used to automate marketing and sales activities. AI helps businesses to scale their operations and be more efficient. AI solutions can perform tasks that are repetitive, rules-based, and data-driven. AI technologies that are commonly used in marketing include machine learning, natural language processing, and artificial neural networks.

Voice and Text Based Lead Generation with AI

With the increase in the adoption of artificial intelligence in marketing activities, you can use AI to enhance your lead generation efforts. You can automate your lead generation campaigns and use the power of AI to find leads. AI-powered tools can process large amounts of voice-based leads. They can also process text-based leads generated through social media posts and articles. Inbound and outbound marketing campaigns that rely on voice and text-based channels can be automated with AI assistants like Amazon’s Alexa and Google Home. These assistants can help you engage with prospects and generate leads.

AI-based lead qualification

As part of your lead generation efforts, you need to find prospects who are most likely to become customers. You can use AI to screen out leads that are unlikely to become customers. Lead qualification is the process of prioritizing leads based on their likelihood to become paying customers. It is a necessary step because you can’t afford to pursue every lead that comes your way. Lead qualification helps you identify the best prospects and focus on them. It also helps you find the necessary resources for pursuing leads at the right time. Lead qualification is based on lead scoring, which is a way to prioritize leads based on their potential to become customers. AI-based tools can help you automate lead scoring to reduce human error.

AI-based lead scoring

Once you have identified the leads that are likely to become customers, you need to prioritize them. Lead scoring is a way to prioritize leads based on their likelihood to become customers. Lead scoring is a machine learning process that uses a model to predict the likelihood of leads converting into customers. Models are based on the historical data of the leads that have converted into customers. AI-based tools use the data of the customers who have used your products or services to predict the likelihood of the rest of the leads converting into customers.

ML for lead discovery and sourcing

AI can also be used for lead discovery and lead sourcing. Lead discovery is the process of finding potential leads from data that is available online. Lead discovery helps you identify new prospects who are actively searching for solutions to their problems. AI-based tools can help you find leads based on the content that your existing customers are sharing online. Lead sourcing is the process of contacting potential prospects who have not yet shown interest in your product. AI-based tools can help you find potential leads by analyzing public data. You can also use AI-based tools for social listening for lead generation. Social listening is the process of listening to social media posts to identify prospects who are interested in your product or service. AI helps you find social media posts and public statements that identify potential leads.

AI for triggering sales activities

AI can also be used to trigger sales activities. AI-based tools can recommend sales actions based on the data they have compiled. You can use AI to recommend sales actions like contacting certain leads, setting up appointments with prospects, and engaging with customers. As part of your lead generation efforts, you need to track and monitor leads to understand their behavior. AI provides you with accurate and timely data about your leads.

Wrapping up

Lead generation is an ongoing activity, and you need to be consistent in your efforts if you want to generate leads on a sustainable basis. Artificial intelligence can be used to automate many of your lead generation activities. AI can be used to find leads, qualify leads, and score leads based on their likelihood of converting into customers. AI can also be used to trigger sales activities to help you engage with leads and identify customers.

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