What is Lead Scoring?

Let's start with what it is not.  Lead scoring is not wasting time and money, not hoping and praying your hard earned money is going to deliver new customers. 

Lead scoring is a method used to evaluate the quality of leads and determine their likelihood of converting into customers. By using advanced machine learning algorithms combined with augmented data to create a profile for a person.  The profile is then compared to known customers, the more they look similar the higher the score. The goal of lead scoring is to identify high-quality leads that are most likely to convert, allowing you to focus your sales efforts on the most promising prospects.

In the context of industries such as Real Estate, Insurance, Solar, and Roofing, lead scoring is essential. These industries often involve high-value transactions, and the sales process can be complex, time-consuming and costly.. Using lead scoring, businesses in these industries can identify the most promising leads and focus their sales efforts accordingly.

At Reworked.ai, we have developed proprietary artificial intelligence specific to the Real Estate, Insurance, Solar, and Roofing industries that has the benefit of millions of records to ensure your leads are highly probable to convert.  Saving you time and money.

How Lead Scoring Works

By harnessing artificial intelligence Betty, our algorithms, determine who is most likely to convert to a deal based on demographic information and in the solar and roofing industry the characteristics of the structure..  The output is a probability score, the Betty Score, that turns data into actionable information.

The Benefits of Lead Scoring

Lead scoring offers several benefits to businesses, including:

• Increased efficiency: Lead scoring can help businesses streamline their sales process and reduce the time spent on low-quality leads.
• Improved conversion rates: By identifying high-quality leads and prioritizing sales efforts accordingly, businesses can improve conversion rates and increase sales.
• Better resource allocation: By identifying the most promising leads, businesses can allocate their resources more effectively and improve overall sales performance.
• Reduced time spent on junk leads: By identifying low-quality leads and eliminating them from the sales process, businesses can reduce time spent on dead leads and focus on the most promising prospects.

Betty's scoring model is highly accurate, with an accuracy rate of 93-94% in the Real Estate industry and 99% in the Solar industry.

Case Study: How Reworked.ai's Lead Scoring Model Improved Conversion Rates for a Solar Company

Our customer had been utilizing door knockers to get appointments and close deals.  In the last year it has become harder and therefore the turn over of the door knockers has increased, leading to a further decrease in deals.  However, when they started to use ReWorked.ai to get leads in the areas they are targeting and sent a simple mailer the high probability leads in advance of deploying the knockers they have seen their conversions rate 4x.  By getting the word out with a strong call to action and following up with a person they have upgraded their process for success.

Another solar and roofing company was buying opted-in leads and using a calling center to set appointments.  Again they have seen the performance decrease drastically over the past 18 months.  They started running their purchased leads through Betty and they realized the money they are paying for opted-in leads was really a waste.  That lead to a new opted-in lead provider and using Betty to set priorities for the call center, again, turning data into actionable information for time and money savings.

Conclusion

Take charge of your sales and marketing, be in control of your actions and harness the power of artificial intelligence.  We use artificial intelligence every day in our online life, why not apply the same power to your marketing efforts.  The only thing you have to loose is more time and money.

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