D&B Lattice Description

D&B Lattice, previously known as Lattice Engines, emphasizes that Account-Based Marketing (ABM) programs necessitate the ability to gather and organize comprehensive data, effectively categorizing it by account, buying center, and contact hierarchies. This capability empowers teams to design focused campaigns that resonate with both prospects and existing customers in a significant manner. Marketers increasingly rely on AI to forecast potential buyers, the products they might purchase, and the timing of those purchases. This approach extends beyond merely scoring accounts; it also involves recognizing the formation of buying committees, evaluating the stage of the purchasing process, and providing the most suitable offers. Campaigns tailored to individual preferences experience engagement rates that are double and closing rates that are triple those of standard campaigns. Leveraging AI-driven insights enables the creation of targeted messaging for each persona level within key accounts, facilitating activation across multiple channels. It is essential for the success of any ABM initiative that customer information is protected and managed responsibly, requiring a thorough review of the policies of all technological solutions to ensure compliance with GDPR and other relevant regulations. Moreover, maintaining rigorous data security practices fosters trust among clients and enhances the overall effectiveness of marketing efforts.

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Company Details

Company:
Dun & Bradstreet
Year Founded:
1841
Headquarters:
United States
Website:
www.lattice-engines.com

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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Customer Support
Business Hours

D&B Lattice Features and Options

Account Based Marketing Software

Analytics
Campaign Personalization
Customer Segmentation
Engagement Monitoring
Lead Nurturing
Lead Scoring
Progress Tracking
Prospecting Tools
Target Account Identification

Customer Data Platforms (CDP)

Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling

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