Lead Scoring Software

Lead scoring software allows sales teams to prioritize and manage leads (i.e. potential customers)

Lead scoring software allows sales teams to prioritize and manage leads (i.e. potential customers).

Prioritization is key for sales teams especially at growing companies as they receive more leads than they can immediately respond to. In addition, knowing the value of a lead, allows sales reps to pay more attention to the communication with those leads to ensure that they convert to customers.

Lead scoring software enable this prioritization by assigning a value estimate to each lead taking into account criteria such as the lead's industry, position, online behavior, actions on company's website. In the background, this software estimates both the potential value of a sale and the probability of a sale, estimating expected value of that lead.

To access lead related data, lead scoring software needs to be integrated with lead generation/recording software such as the CRM systems, landing pages and other lead capture forms. Advanced lead scoring software also needs to be integrated with companies analytics systems to track lead behavior which influences the lead scores.

To be categorized as lead scoring software, a product must be able to:

  • Assign and manage priorities to leads based on historical track record or company's objectives
  • Provide analytical insights which can provide guidance to teams in charge of lead generation. Or the tools can offer integration to popular analytics packages, allowing non-technical personnel to analyze the developments in lead flow quality
  • Integrate with lead generation solutions
  • Provide data import/export options
If you’d like to learn about the ecosystem consisting of Lead Scoring Software and others, feel free to check AIMultiple Sales.

Compare Best Lead Scoring Software

Results: 29

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Lead Scoring Software Leaders

According to the weighted combination of 7 data sources

6sense

VanillaSoft

Velocify Lead Manager

Infer

DataFox

What are Lead Scoring Software market leaders?

Taking into account the latest metrics outlined below, these are the current lead scoring software market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.

VanillaSoft

6sense

Velocify Lead Manager

Infer

Docsify

What are the most mature Lead Scoring Software?

Which lead scoring software companies have the most employees?

70 employees work for a typical company in this solution category which is 49 more than the number of employees for a typical company in the average solution category.

In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 23 companies with >10 employees are offering lead scoring software. Top 3 products are developed by companies with a total of 200k employees. The largest company building lead scoring software is Oracle with more than 200,000 employees.

Oracle
Salesforce
Anaplan
Velocify
6sense

What are the Lead Scoring Software growing their number of reviews fastest?


We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.

These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.

What is the average customer size?

According to customer reviews, most common company size for lead scoring software customers is 51-1,000 employees. Customers with 51-1,000 employees make up 42% of lead scoring software customers. For an average Sales solution, customers with 51-1,000 employees make up 37% of total customers.

Overall
Customer Service
Ease of Use
Likelihood to Recommend
Value For Money

Customer Evaluation

These scores are the average scores collected from customer reviews for all Lead Scoring Software. Lead Scoring Software is most positively evaluated in terms of "Value For Money" but falls behind in "Likelihood to Recommend".