What is Prospect Data? Examples, Providers & Datasets to Buy

Prospects data delivers contact and company details to build your list of potential clients. Here, you’ll find a guide and a selection of top providers for prospects' data, with options to compare datasets and provider offerings.
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Eugenio Caterino
Editor & Data Industry Expert

What is Prospect Data?

Prospect data refers to information about potential customers or clients that can be used for sales and marketing purposes. This data helps businesses identify and target individuals or companies who are likely to be interested in their products or services, enabling them to personalize their marketing efforts and increase their chances of converting prospects into customers.

What Are Examples of Prospect Data?

Examples of prospect data include contact information such as names, email addresses, and phone numbers of potential customers or clients. Here are some examples of prospect data :

  • Name: Jane Smith
  • Job Title: Chief Technology Officer (CTO)
  • Email Address: jane.smith@company.com
  • Phone Number: (123) 456-7890
  • Company Information and Industry: Tech Innovations Inc., Information Technology
  • LinkedIn: linkedin.com/in/janesmith
  • Purchase History and Behavior: Jane attended the annual tech conference and purchased CRM software.

Best Prospect Databases, Datasets & API

The best prospect datasets provide comprehensive insights into potential customers, helping businesses identify, qualify, and engage leads effectively. This curated list features the top datasets and APIs, selected for quality, accuracy, and trusted providers where you can buy prospect data.

Logo of Forager.ai

Global B2B Prospect Data | 720M LinkedIn Profiles | Verified & Bi-Weekly Updates

by Forager.ai
4.9
USA
United Kingdom
Germany
+247
Free sample preview
API available
Starts at
$100$95 / month
Logo of Success.ai

Prospect Data | Manufacturing Sector in North America | Comprehensive Firmographic Insights | Best Price Guaranteed

by Success.ai
5.0
USA
Canada
Mexico
+10
Free sample preview
API available
Starts at
$0.05$0.05 / 100 leads
Logo of Salutary Data

Prospect Data | 148MM+ US Contacts for B2B Sales Prospecting, Sales Intelligence, and Sales Outreach

by Salutary Data
USA
Free sample preview
API available
Pricing available upon request
Logo of Xverum

Indian B2B Prospect Data | 72M Accurate & Fresh Leads, 7.2B Intent Signals, Key Decision-Maker Insights

by Xverum
5.0
India
Free sample preview
API available
Starts at
$1,000$900 / month
Logo of Accurate Append

Accurate Append | Verified US Prospect Data | Batch & API Delivery | Millions of US Consumer Postal Addresses + Mobile Phone Numbers & Email Addresses

by Accurate Append
5.0
USA
Free sample preview
API available
Starts at
$0.10 / Match
Logo of BatchService

BatchService | Marketing Prospect Data | 200 million US individuals' contact information + new homeowner data

by BatchService
USA
Free sample preview
API available
Starts at
$0.01 / API Call
Logo of RevenueBase

Mobile Phone Number Data | Verified B2B Leads Data | Prospect Data: Key Decision-Makers

by RevenueBase
USA
United Kingdom
Germany
+246
Free sample preview
Starts at
$15,000$14,400 / year
Logo of Stirista

Stirista's ePostal Data: Unlock Email Address Data, Identity Linkage Data, Prospect Data, Consumer Marketing Data, and Demographic Data - US

by Stirista
USA
Free sample preview
Pricing available upon request
Logo of Biscred

Biscred Prospect Data | USA Commercial Real Estate Data | 270K+ Companies & 925K+ People

by Biscred
5.0
USA
Free sample preview
Pricing available upon request
Logo of The Data Appeal Company

The Data Appeal | B2B Contact Data | API, Dataset | Millions of POI Data Mapped | Pinpoint your future investment prospects

by The Data Appeal Company
5.0
USA
United Kingdom
Germany
+246
Free sample preview
API available
Pricing available upon request

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How to Get the Right Prospect Data?

Getting the right prospect data is crucial for effective B2B data prospecting. Here are some strategies to acquire high-quality prospect data:

  • B2B Lead-Generation Tools: Tools like LinkedIn Sales Navigator or ZoomInfo can help gather prospect data.
  • Company Websites: Often, contact information is listed on the company’s official website under the ‘About Us’ or ‘Contact’ sections.
  • Networking Events: Industry conferences and networking events are excellent for gathering prospect data.
  • Third-Party Databases: Prospect databases offer extensive contact information. On Datarade, you can find the best B2B leads data providers with updated databases and datasets.

How is Prospect Data Collected?

Collecting prospect data involves several strategies:

  • Online Forms: Use online forms on a website to capture visitor information.
  • Surveys and Questionnaires: Conduct surveys to gather specific information about potential customers.
  • Social Media: Utilize social media platforms to collect data on potential leads.
  • Purchase Data: Analyze purchase data to identify and target new prospects.

What is Considered a Prospect?

A prospect is any individual or company that has shown interest in your product or service and has the potential to become a customer. Key indicators include:

  • Engagement with marketing content
  • Website visits
  • Inquiries and requests for information
  • Interaction with sales representatives

What is the Difference Between a Lead and a Prospect?

A lead is an unqualified contact, while a prospect is a qualified contact who has shown interest in your product or service.

Prospect Data in Marketing

Prospect data plays a crucial role in marketing strategies. It helps businesses:

  • Identify target audiences
  • Create personalized marketing campaigns
  • Track the effectiveness of marketing efforts
  • Adjust strategies based on data insights

What is Prospect Analysis?

Prospect analysis involves evaluating prospect data to determine the likelihood of converting a prospect into a customer. It includes:

  • Audience Segmentation: Categorizing prospects based on specific criteria like industry or behavior.
  • Lead Scoring: Assigning scores to prospects based on their likelihood to convert.
  • Behavioral Analysis: Analyzing the behavior of prospects to tailor marketing efforts.

What is Data Driven Prospecting?

Data driven prospecting involves using data analysis to identify and target potential leads. It includes:

  • Data Collection: Gathering comprehensive prospect data.
  • Data Analysis: Analyzing data to identify patterns and potential leads.
  • Targeted Outreach: Using insights from data analysis to tailor outreach efforts.

Frequently Asked Questions

What Level of Accuracy Can I Expect from Prospect Data?

Providers typically maintain high accuracy, with match rates often exceeding 75%, backed by validation processes to improve data reliability. Information such as email addresses, phone numbers, and postal addresses is regularly cross-referenced and updated. If precision is essential to your campaigns, ask about the specific accuracy rates for the attributes most relevant to your efforts.

How Frequently is Prospect Data Updated?

Updates for prospect data can vary, from real-time to monthly or quarterly schedules. Some providers perform daily validations to keep data current, especially for fields like contact details. Selecting a provider whose update frequency matches your needs is key for maintaining relevance in your outreach.

How is Prospect Data Delivered and Integrated?

Prospect data can be delivered in CSV, JSON, or XLS, and through secure methods like SFTP or API integrations. Providers offer flexible delivery options, including batch processing and real-time updates, simplifying integration with CRM systems. Choosing the right delivery method allows for quick access to the data.

What Pricing Models are Available for Prospect Data?

Pricing options for prospect data range from one-time purchases to monthly or annual licenses, as well as usage-based models. Some providers also offer a pay-per-record approach, which can be economical if you’re focusing on specific consumer segments. Requesting a sample on Datarade beforehand can help you evaluate data quality and decide on the best fit for your budget.

Which Attributes are Included in Prospect Data?

Prospect data often includes core contact information such as email addresses, postal addresses, and phone numbers, along with demographics like location, age, or household income. Some datasets also provide behavioral insights or identity linkage data, adding depth to multi-channel campaigns by creating a fuller picture of each prospect. Choosing a dataset with attributes aligned to your audience can improve the effectiveness of your outreach.

What Geographic Coverage is Provided by Prospect Data?

Prospect data providers typically offer national or regional coverage, with some specializing in specific areas, such as the US, or focusing on regions like the Nordics. Providers covering multiple countries may allow data selection by country or state. Checking the provider’s geographic scope helps ensure that the data meets your target market’s needs.

How is Data Privacy and Compliance Managed for Prospect Data?

Top providers prioritize privacy by following strict data collection standards and using secure delivery methods such as encryption and access-controlled APIs. Many also comply with regulations like GDPR or CCPA to maintain data integrity. If privacy is a priority, confirm that your provider’s compliance measures meet your company’s standards for secure, ethical data usage.

Where Can You Buy Prospect Data?

You can purchase prospect data from Datarade. Our marketplace offers a variety of updated databases and datasets from top prospect data providers.

What Are Similar Data Types to Prospect Data?

Similar data types to prospect data include Ecommerce Leads Data, Healthcare Industry Leads Data, and B2B Contact Data.

Eugenio Caterino

Eugenio Caterino

Editor & Data Industry Expert @ Datarade

Eugenio is an editor and data industry expert with over a decade of experience specializing in B2B data marketplaces and e-commerce platforms. He has a strong background in data analytics, data science, and data management. Eugenio is passionate about helping companies leverage data and technology to drive innovation and business growth, ensuring they can easily and efficiently access the solutions they need.

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