At Leadbook we are committed to provide 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.
Leadbook’s Data Quality Programme
Leadbook gathers its data from primary public online sources such as search engines, social networks, job portals, marketplaces and from millions of corporate websites. We enrich our data and build it into a ready to use global leads database using the latest artificial intelligence techniques. To ensure quality, we rigorously evaluate and test each data source before we introduce it into production.
We are continuously refreshing our data sets. Refresh cycles vary by source and type of data, but on average, our data gets updated on a quarterly basis. And we are developing technologies and processes to accelerate that.
Quality sources and regular refresh cycles are only useful if the data is processed properly: cleaned, formatted, matched. We spent 3 years developing the technologies and data science algorithms that enable us to process and match data from different sources faster and more accurately than any other provider.
Leadbook’s Data Sources
Our database is mined from primary data sources worldwide using cutting-edge Artificial Intelligence techniques. Primary data sources are updated & maintained by the users themselves.
business websites tracked
documents from the common crawl
contact profiles on social platforms
& Data exchange with our customer base
Is Leadbook’s data safe to use?
Users of Leadbook are free to use the data in the course of normal sales outreach but are not allowed to use the data for SPAM emails. Users are subject to the Personal Data Privacy Act of their home country. The regulation states that The Data Protection Provisions do apply to personal contact information but do not apply to business contact information.
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.
How is Leadbook different from other data list providers?
Firstly, only Leadbook will provide unlimited search, segmentation and preview of the data so users feel confident they are building lists with the right organisation or contact profiles.
Secondly, users can send personalised messages at scale to the right audience without purchasing the datasets. Users are charged for email delivered and not on sending. There is no need to worry about email bounces, domain blacklisting, spam filters, server reputation, delivery cadences or scheduling.
Finally, if you still decide to purchase data, Leadbook will mark every record that has already been purchased by a user and keep the record online so you will never purchase duplicates from us.
Leadbook’s Data Coverage
Frequently Asked Questions
How reliable is Leadbook’s data?
Leadbook aims to provide the most reliable data in the market, aggregated and validated from millions of corporate websites using advanced artificial intelligence techniques. All the contact and organisation profiles are verified in advance and will be deducted from the usage cap when unlocked.
We provide a 100% verified contact email ID, with guaranteed free replacement up to 30-days after you unlocked a profile. You will receive automatic notifications when contacts become invalid.
How often does Leadbook refresh its organisation and contact data?
We currently update our organisation and contact profiles every quarter. The business contact email is verified in real-time when a user decides include it to their contact volume.
Why is data quality so elusive?
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.
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 do we measure data accuracy?
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.
How does Leadbook collect its data? What are the sources?
Leadbook gathers its data from primary public online sources such as search engines, social networks, job portals, marketplaces and from millions of corporate websites. We enrich our data and build it into a ready to use global leads database using the latest artificial intelligence techniques.
Does Leadbook provide phone numbers?
Phone numbers are collected directly from corporate websites. Therefore we will provide official office phone numbers and sometimes the local branch phone number.
What does data quality mean?
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.