STRENGTHEN YOUR B2B MARKETING WITH
Business Data
18,243,524
COMPANY RECORDS
9,728,410
PHONE NUMBERS
70,420,010
EMPLOYEE RECORDS
38,731,006
EMAIL ADDRESSES
Targeting Business Data in B2B Marketing Campaigns
Access to accurate business marketing data is the cornerstone of effective B2B sales and marketing strategies. It empowers sales and marketing teams to identify, engage, and build relationships with key decision makers and influencers within target companies. By leveraging detailed B2B data such as industry, annual revenue, employee count, and job titles, businesses can precisely target professionals who are most likely to benefit from their products or services, optimizing both outreach and advertising efforts.
Leveraging B2B Data Across Marketing Channels
B2B marketing data is a game changer for custom audience targeting across multiple platforms. Whether through email broadcasting, social media channels like Facebook and Instagram, search platforms like Google and YouTube, or professional networks like X (Twitter) and LinkedIn, businesses can target tailored audiences to deliver personalized messaging to the right audience. This multi channel approach amplifies campaign reach and improves engagement.
Targeting Decision Makers and Influencers
In B2B marketing, both decision makers and influencers play crucial roles in the buying process. However, differences in industry classifications and job titles between companies can make consistent targeting challenging. A strategic approach that accounts for these variations ensures campaigns resonate with the right individuals, driving better results.
Revenue and Company Size Based Targeting for Higher Conversions
Targeting companies based on annual revenues, employee size, and year founded helps sales and marketing teams prioritize lead prospects and develop account based strategies. By narrowing campaign focus to align with ideal B2B customer profiles, sales cycles are shortened and conversion rates improve, thus saving resources and increasing ROI.
GeoTargeting Business Data IN MARKETING CAMPAIGNS
Targeting business data based on the geographic location of company headquarters and branch offices is critical for delivering highly relevant B2B marketing campaigns. Geographic parameters ensure your messaging reaches businesses where they operate, accounting for regional market trends, time zones, and localized needs.
Popular B2B data geotargeting selects:
Nationwide (US)
State(s)
MSA (Metropolitan Service Area)
Zip Code (Radius)
Advanced geotargeting selects:
Carrier Route
City
County
SCF (Range)
The Power of Geotargeting in B2B Campaigns
Geotargeting B2B marketing data unlocks the ability to craft campaigns that resonate with businesses in specific locations, driving higher relevance and engagement. By focusing on geographic parameters such as state, metro areas, or zip code radius, companies can align their messaging with regional market dynamics, local regulations, and cultural nuances. Geotargeting also enables businesses to optimize resource allocation, ensuring sales and marketing teams prioritize high-potential regions. Whether you’re launching a product, hosting an event, or running a multi-channel campaign, geotargeting ensures your efforts connect with the right audience in the right place, ultimately improving conversion rates and ROI.
Business Profile Targeting FOR B2B MarketinG
Targeting B2B marketing data based on detailed business profiles ensures your campaigns connect with the right companies and decision makers. Key parameters ensure precise campaign segmentation, ensuring your messaging aligns with specific company needs.
Popular B2B data targeting business profile selects:
Annual Revenues (Sales)
Employee Count
Year Founded
Advanced business profile selects:
Business Name (For targeting lists of specific companies)
Business Type (Small Business, Large Business, Public Company…)
Franchises
Headquarters and Branches
Facility Ownership (Owns, Rents)
Executive Count (Number of Professionals)
Stock Exchange (NYSE, ASE, NASDAQ…)
Target, Connect, and Convert B2B Prospects
Crafting B2B marketing campaigns based on business details such as sales, size, and type enables highly personalized and effective outreach. Targeting by sales ensures campaigns focus on companies with the financial capacity to make purchases, while understanding employee count helps tailor messaging, value proposition and call-to-action to suit the needs of Startup, SMB, and Enterprise corporations. By targeting business details, sales and marketing teams increase engagement, improve lead quality, and maximize ROI.
Industry (SIC) Targeting for B2B Marketing Campaigns
Targeting B2B marketing data based on industry classification details ensures your campaigns are relevant and impactful by aligning with the unique needs and challenges of specific sectors. Industry segmentation, often defined by Standard Industrial Classification (SIC) Codes allow marketers to focus on industries where their products or services provide the most value.
B2B data targeting industry selects:
Agriculture (SIC 01-09)
Mining (SIC 10-14)
Construction (SIC 15-17)
Manufacturing (SIC 20-39)
Transportation (SIC 40-49)
Wholesale Trade (SIC 50-51)
Retail Trade (SIC 52-59)
Financial and Insurance (SIC 60-67)
Services (SIC 70-89)
Public Administration (SIC 91-97)
Nonclassified (SIC 99)
Target Two, Four, Six and Eight Digit SIC Codes
Targeting B2B marketing campaigns based on 2, 4, 6 and 8-digit SIC codes allows for precision and depth in identifying potential business customers. 2-digit SIC codes represent broad industry categories, such as Manufacturing or Healthcare, making them ideal for high-level targeting and creating awareness across a wide audience. 4-digit SIC codes refine this further by identifying sub-industries, such as Pharmaceutical Manufacturing within Healthcare, enabling more focused messaging tailored to industry specific needs. 6-digit and 8-digit SIC codes provide granular detail by pinpointing niche businesses, such as Biotech Research Labs, allowing for hyper targeted campaigns that address unique challenges and opportunities.
Pro Tip
Target decision makers and influencers in B2B marketing campaigns for maximum response rates. If you are not sure which job titles to include across industries, we recommend targeting the top 5 ranking employees at each company with emails and LinkedIN messages that are reinforced by Google, X and Meta advertising.
Employee Profile Targeting for B2B Campaigns
Targeting B2B marketing data based on job titles is critical for connecting with key decision makers and influencers. Job titles provide insights into roles, responsibilities, and purchasing authority, ensuring your messaging and call-to-action resonates with individuals who can drive business outcomes. This strategic approach enhances engagement, shortens sales cycles, and improves conversion rates by connecting with the right audience.
Popular B2B data targeting employee profile selects:
Owner
Board
C-Level (CEO, COO, CFO, CMO, CTO, CIO…)
President
VP
Director
Manager
Coordinator
Sales
Marketing
Operations
Medical
Human Resources
Facilities
Finance
Legal
Philanthropy
Government Relations
Advanced employee profile selects (available based on state regulations):
Ethnicity
Gender
Language
Religion
Frequently Asked Questions for Consideration
Data Privacy and Compliance
One of the critical considerations when working with custom audience marketing data is ensuring compliance with data privacy laws, such as GDPR or CCPA.
Data Encryption and Security: Implementing strong encryption practices and securing data storage systems are essential for protecting sensitive consumer information.
Transparent Data Policies: Providing clear information about how marketing data is being used and allowing customers to opt out of communications builds trust and ensures compliance.
ETHNICITY, RELIGION AND LANGUAGE RESTRICTIONS
Several U.S. states have enacted data privacy laws that classify information related to ethnicity, religion, and language as sensitive personal data, imposing restrictions on its use in marketing:
Colorado: The Colorado Privacy Act (CPA) identifies personal data revealing racial or ethnic origin, religious beliefs, and language as sensitive, requiring explicit consent for processing.
Connecticut: The Connecticut Data Privacy Act (CTDPA) includes provisions that protect sensitive data, including ethnicity and religion, necessitating consumer consent for its use.
Virginia: The Virginia Consumer Data Protection Act (VCDPA) classifies data revealing racial or ethnic origin, religious beliefs, and language as sensitive, requiring affirmative consumer consent for processing.
Utah: The Utah Consumer Privacy Act (UCPA) also recognizes data related to ethnicity and religion as sensitive, imposing restrictions on its processing without consumer consent.
These laws aim to protect consumer privacy and prevent discriminatory practices in marketing by regulating the use of sensitive personal information.
Data Integration and Quality
For custom audience marketing data to be useful, it must be accurate, consistent, and easily integrated across advertising and communication platforms.
Data Cleansing: Regular updates and data validation help maintain high data quality. Duplicate records or outdated information can hinder the effectiveness of campaigns.
System Integration: Custom audience marketing data from various sources (consumer, business, demographic, purchase, interest) should be integrated into a unified system to provide a 360-degree view of the customer.
DATABASE UpDATES
Each feed of data is updated on a schedule based on the source of the information. Typically data updates automatically occur weekly, monthly or quarterly.
DATA SOURCES
Data is aggregated from hundreds of publically available sources from across the US as well as from various online opt-in form submissions.
Measuring ROI and Campaign Effectiveness
To assess the success of marketing campaigns driven by custom audiene marketing data, it’s essential to track key metrics like engagement rates, conversion rates, and return-on-investment (ROI).
Attribution Models: Use multi-touch attribution to determine the contribution of different marketing channels in influencing the customer’s decision.
A/B Testing: Regularly test different messages, offers, and creatives to optimize performance based on data insights.
Adapting to Market Changes
Targeting qualified marketing prospects across advertising channels is highly dynamic, with new data collection trends perpetually impacting the performance of campaigns.
Real-Time Data Analysis: By continuously analyzing real-time data, marketers can quickly adapt their strategies to align with current trends.
Flexible Campaign Structures: Ensuring that marketing campaigns are flexible and can be quickly modified allows brands to stay relevant even as the market changes.
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