What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in b2b leads data category. Our data sources in b2b leads data category include;
B2B lead datasets include lists of:
B2B lead data is used to analyze product/solution adoption rate, search for active buyers in the targeted market, and promote content according to behavior.
If you’d like to learn about the ecosystem consisting of B2B Leads Data and others, feel free to check AIMultiple B2B Data.
AIMultiple is data driven. Evaluate 17 services based on
comprehensive, transparent and objective AIMultiple scores.
For any of our scores, click the information icon to learn how it is
calculated based on objective data.
*Products with visit website buttons are sponsored
Wappalyzer Company Tech Install Lead Lists - Technographic Data for B2B Sales
PipeCandy Prospector - E-Commerce Leads in Europe, US & India for demand generation (50+ attributes)
Global Database: Sales & Marketing Data Platform - Worldwide Business Coverage
MessageIQ by AnalyticsIQ - B2B Marketing Data USA - 65M Professionals
SMARTe ConsentGenie - Success-based, opted-in MQL generation (B2B Leads Data)
B2B Lead Generation Engine Database Worldwide (23 Million records) - by Krill Technologies
Datapo Lead Finder - B2B Lead Data for Europe & Asia - Data Service
Thomson Data | B2B Data Cleansing Services (de-duplication, verification)
Accutrend Data: B2B Canadian New Business Intelligence
We use the data sources on the side for ranking solutions and awarding badges in b2b leads data category. Our data sources in b2b leads data category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
Wappalyzer Company Tech Install Lead Lists
PipeCandy Prospector
Global Database: Sales & Marketing Data Platform
MessageIQ by AnalyticsIQ
SMARTe ConsentGenie
Taking into account the latest metrics outlined below, these are the current b2b leads data market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
Wappalyzer Company Tech Install Lead Lists
PipeCandy Prospector
Global Database: Sales & Marketing Data Platform
MessageIQ by AnalyticsIQ
SMARTe ConsentGenie
63 employees work for a typical company in this solution category which is 42 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. 4 companies with >10 employees are offering b2b leads data. Top 3 products are developed by companies with a total of 811 employees. The largest company building b2b leads data is Smarte with more than 600 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
Wappalyzer Company Tech Install Lead Lists
PipeCandy Prospector
Global Database: Sales & Marketing Data Platform
MessageIQ by AnalyticsIQ
SMARTe ConsentGenie
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.
This data is collected from customer reviews for all B2B Leads Data companies. The most positive word describing B2B Leads Data is “Easy to use” that is used in 16% of the reviews. The most negative one is “Expensive” with which is used in 2.00% of all the B2B Leads Data reviews.
According to customer reviews, most common company size for b2b leads data customers is 1-50 Employees. Customers with 1-50 Employees make up 69% of b2b leads data customers. For an average B2B Data solution, customers with 1-50 Employees make up 65% of total customers.
These scores are the average scores collected from customer reviews for all B2B Leads Data. B2B Leads Data is most positively evaluated in terms of "Ease of Use" but falls behind in "Likelihood to Recommend".