Prospect Data: Best Prospect Datasets & Databases
What is Prospect Data?
Prospect data refers to information that is used to identify and qualify potential customers or clients for a business or organization. This data typically includes contact information such as names, email addresses, phone numbers, and job titles, as well as demographic information such as age, gender, income, location, and interests. Learn more
Recommended Prospect Data Products
B2B Marketing Data - Reach out to Prospects Easily - Thomson Data
Alesco Pre Mover Database - US based with emails and phones. Licensing Available!
TRAK Data - Data Enrichment - Append New Marketing Data Points to Your Customer or Prospect Lists
Structure: People Dataset - Consumer Data - 700MM Global Coverage, 100 Attributes, 700MM Rows, Contact Information and Demographics
aKQired Global B2B Contact List, B2B Contact Data for ABM, Linkedin Prospecting, Business Owner List Building
MarketEdge's USA C-level local government Head of Fire Protection Services Executives b2g contact data (e-mail, phone) w/ 11k phone verified records
Enterprise B2B Contact Data - Reach Potential Prospects with over 85 Million Authentic and Verified Records - Thomson Data
ProspectNow - Real Estate Data API - Real-time Residential & Commercial Property Data (USA, 10 year history)
Alesco 30 Day New Mover Database - US based with emails and phones. Licensing Available!
Enrich API - Append customer & prospect data with multidimensional insights
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The Ultimate Guide to Prospect Data 2023
Prospect data refers to information about potential customers or clients that can be used by businesses to identify and target new sales opportunities. This data typically includes basic contact information such as name, email address, phone number, and company name, as well as demographic information such as age, gender, location, and job title.
Prospect data is used in marketing and sales to target potential customers with relevant messages and offers, and to prioritize sales efforts based on the likelihood of converting a prospect into a customer. It can be collected through a variety of methods, including online lead generation forms, events, social media, and purchased databases.
This data can be collected from a variety of sources, including website registrations, social media interactions, trade shows, and purchased lists. This data is often used by businesses for targeted marketing campaigns, lead generation, and sales outreach efforts.
It’s important to note that prospect data must be collected and used in compliance with applicable laws and regulations, such as GDPR and CCPA, to ensure the privacy and rights of individuals are protected.
Prospect Data Use Cases
Prospect data has a wide range of use cases across various industries and functions, but here are some of its main use cases:
- Lead Generation: Prospect data is used to identify potential customers who have expressed interest in a business’s product or service. This can include capturing leads from website visitors, social media platforms, or events.
- Sales: Once potential customers have been identified, prospect data is used to prioritize and personalize outreach efforts to increase the chances of closing a sale.
- Marketing: Prospect data is used to develop targeted marketing campaigns and messaging that are relevant and engaging to potential customers.
- Customer Segmentation: Prospect data is used to segment potential customers based on common characteristics, such as demographics or behaviors, to tailor marketing and sales efforts.
- Market Research: Prospect data is used to conduct market research and understand customer needs, preferences, and behaviors to inform product development and marketing strategies.
- Data Analysis: Prospect data can be analyzed to identify patterns and trends in customer behavior and inform decision-making.
Overall, prospect data is a valuable tool for businesses to identify and connect with potential customers, drive sales, and inform marketing and product strategies.
Prospect Database Examples
Here are some examples of prospect databases:
ZoomInfo: ZoomInfo is a B2B database that provides access to over 200 million business professionals across various industries and geographies. It includes information such as job titles, company names, contact information, and company size.
Hoovers: Hoovers is a business information database that provides access to company profiles, industry analysis, and contact information for decision-makers across various industries.
LinkedIn Sales Navigator: LinkedIn Sales Navigator is a sales tool that provides access to LinkedIn’s network of over 700 million professionals. It includes advanced search filters to find prospects based on job title, industry, and location.
Dun & Bradstreet: Dun & Bradstreet is a database that provides access to business information such as company profiles, financials, and contact information for decision-makers across various industries.
Data.com: Data.com is a B2B database that provides access to contact information for decision-makers across various industries. It includes features such as data cleansing and de-duplication to ensure data accuracy.
InsideView: InsideView is a B2B database that provides access to company and contact information for decision-makers across various industries. It includes features such as lead scoring and data enrichment to help prioritize and personalize outreach efforts.
These databases can be used to generate leads, build prospect lists, and enrich existing prospect data for marketing and sales purposes.
How does a Prospect Dataset looks like?
A prospect dataset typically includes a list of potential customers or clients and their associated data, such as contact information and demographic data. The specific data fields included in a prospect dataset may vary depending on the source of the data and the intended use case. Here is an example of what a prospect dataset might look like:
Name | Company | Job Title | Industry | Location | |
---|---|---|---|---|---|
John Smith | [email protected] | Acme Corporation | Sales Manager | Manufacturing | New York, NY |
Sarah Johnson | [email protected] | Tech Innovators | Marketing Manager | Technology | San Francisco, CA |
Michael Brown | [email protected] | Financial Services Co. | Financial Analyst | Finance | London, UK |
Maria Rodriguez | [email protected] | Fashion Retailer | E-commerce Manager | Retail & Fashion | Madrid, Spain |
In this example, the prospect dataset includes the following fields:
- Name: The name of the potential customer or client.
- Email: The email address associated with the potential customer or client.
- Phone Number: The phone number associated with the potential customer or client.
- Company: The name of the company that the potential customer or client is associated with.
- Job Title: The job title of the potential customer or client.
- Industry: The industry that the potential customer or client is associated with.
- Location: The location of the potential customer or client.
Prospect datasets can be used to target potential customers with personalized marketing or sales efforts, prioritize outreach efforts based on demographics or industry, and inform market research and product development.
Frequently Asked Questions
What is prospect data?
Prospect data refers to information about potential customers or clients that can be used to inform marketing and sales efforts. This data may include contact information, demographic data, and information about a prospect’s job title or industry.
Where can I find prospect data?
Prospect data can be found through a variety of sources, including third-party databases, social media platforms, and website analytics tools. It can also be generated through lead generation efforts such as webinars or gated content.
How is prospect data used?
Prospect data is used to inform marketing and sales efforts by helping businesses identify potential customers and personalize their outreach efforts. It can also be used to prioritize outreach efforts and segment prospects based on demographics or industry.
What are the benefits of using prospect data?
Using prospect data can help businesses save time and resources by targeting potential customers more effectively. It can also help improve conversion rates and drive revenue growth by enabling businesses to personalize their marketing and sales efforts.
How can I ensure the accuracy of my prospect data?
Ensuring the accuracy of prospect data is essential to effective marketing and sales efforts. This can be achieved through data cleansing and enrichment processes, as well as by using reputable sources for prospect data acquisition. It’s also important to regularly update and verify prospect data to ensure it remains accurate over time.
Where can I buy Prospect Data?
Data providers and vendors listed on Datarade sell Prospect Data products and samples. Popular Prospect Data products and datasets available on our platform are B2B Marketing Data - Reach out to Prospects Easily - Thomson Data by Thomson Data, Alesco Pre Mover Database - US based with emails and phones. Licensing Available! by Alesco Data, and TRAK Data - Data Enrichment - Append New Marketing Data Points to Your Customer or Prospect Lists by TRAK Data.
How can I get Prospect Data?
You can get Prospect Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Prospect Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Prospect Data APIs, feeds and streams to download the most up-to-date intelligence.