Our data is gathered from publicly available online sources and processed using proprietary A.I. powered data technology that includes data crawling, natural language processing, and machine learning. Our A.I. has the ability to learn with exposure to new data, discover patterns across multiple sources, and simulate the human ability to understand and categorise information.
AI-powered Data Accumulation and Processing Technology (ADAPT)
Contact data fields
Contact Leadbook ID
Contact Job Title
Last Verified Date
Organization Leadbook ID
Organization Registration Number*
Organization Registration Classification*
Organization Number of Employees (Range)*
Organization Phone Number*
Organization Phone Number 2*
Organization Phone Number 3*
Organization Registered Address*
Organization Registered Address 2*
Registered Industry Classification*
Registered Industry Code*
Registered Industry Name*
Registered Sub-Industry Code*
Registered Sub-Industry Name*
* Included where available
Is Leadbook data safe to use?
How reliable is Leadbook’s data?
We provide a 100% verified contact email ID. Business data, by it’s nature, is ever-changing. Even the best data sets begin to change as soon as they are assembled. However accurate your data is today, it will be less accurate tomorrow. So, there is no such thing as perfect data, but make no mistake, there are better and worse data, so its important to know what you are getting. Therefore we guaranteed 95% bounce-free, with complimentary 1-1 data replacement if the bounce rate is more than 5% within 30 days from the date of purchase / rental.
At Leadbook we are committed to providing the best data set, and we have built the technology and processes to do that. We are obsessive about data quality and we are constantly working on ways to further improve what we deliver to our customers.
How often does Leadbook refresh its organisation and contact data?
Contacts are generated real-time upon unlock or rental. Contact information, including email address and LinkedIn profiles, are verified before delivery. Organization and industry information are validated against official government sources and updated quarterly.
Organisations are not required to obtain consent before collecting, using or disclosing any business contact information or comply with any other obligation in the Data Protection Provisions in relation to business contact information.
In compliance to regulations, Leadbook only collects business contact information, to which The Data Protection Provisions do not apply. To facilitate opt-out, all emails are mandatorily appended with an unsubscribe link.
Users are free to use Leadbook’s data in the course of normal sales and marketing outreach only. Users are subject to the Personal Data Privacy Act of their home country.
For countries where GDPR applies, Leadbook offers opt-in campaigns where users may request for recipients’ permission to send marketing materials. All recipients who have opted in will be given an option to unsubscribe at any time.
Leadbook turns raw data into useful information
Gathering business contact information from publicly available online sources
Natural language processing
Validating data across multiple languages, including double byte languages
Filling in the blanks by combining data from multiple sources
Predictive data mapping
Self-learning algorithm to identify and classify data points
Data indexing and storage
Storage of contact data within a structured database
When it comes to choosing data providers, there are few criteria more important that data quality. But what does “quality” mean? If you care about data quality, it’s an important question to ask, because different providers define it in different ways.
At Leadbook, we define data quality across 3 dimensions:
- Accuracy: Is the information correct? This is measured for each individual field.
- Completeness: How much of the essential information is included
- Coverage: How much of the market is accounted for in the data set?
For each of these 3 data quality dimensions, we have extraordinarily high standards and apply rigorous methods to achieve them.
For most users, Data Accuracy is what matters most. At Leadbook we are obsessive about continuously improving the accuracy of our data. We constantly measure it through regular sampling.
Here is how we do it: Each quarter, we randomly sample 100 company profiles with contacts. To determine accuracy, we manually check each of the main fields against various information sources: company websites, LinkedIn profiles, marketplaces, and other sources. Each data must be corroborated by at least one of these credible sources. Accuracy is assessed field-by-field, and our goal is to reach a benchmark of 85% average accuracy score across all fields and records.
We use the learnings from this sampling to fix specific errors and, more important, assess the quality of our sources and improve our methods for processing and refreshing the data.