Lattice Engines logo

Lattice Engines

by Dun & Bradstreet · Since 1895
No reviews yet
ActiveCloud
Quick facts
VendorDun & Bradstreet
Year launched1895
StatusActive
Location350 North 5th Street, Suite 1000 Minneapolis, MN 55401 +1 800 333-6000
Countries servedN/A
Languages1
IntegrationsN/A
Free tierNO
Free trialNO
Contact salesYES

About Lattice Engines

A predictive marketing and sales software platform that helps companies improve sales conversion rates. It uses cloud-based applications to assist with customer acquisition and engagement for upselling and cross-selling.

Lattice Engines was a predictive marketing and sales software company that provided cloud-based applications to help businesses enhance their sales and marketing efforts. The platform focused on improving conversion rates throughout the customer acquisition funnel and offered tools for engaging existing customers to drive renewals, upsells, and cross-sells. The company was acquired by Dun & Bradstreet and its technology has been integrated into Dun & Bradstreet's D&B Hoovers and D&B Lattice products. As a standalone product, Lattice Engines is no longer available.

Pros & Cons

Pros
  • Offered predictive applications to improve sales conversion rates.
  • Provided tools for upselling and cross-selling to existing customers.
  • Technology was integrated into the offerings of a major data and analytics company, Dun & Bradstreet.
Cons
  • The product is no longer available as a standalone offering.
  • Information about the original product's specific features and pricing is no longer publicly available.

Features

Key features

Predictive Marketing

Utilizes cloud-based applications to help businesses market more intelligently.

Sales Funnel Optimization

Aims to improve sales conversion rates at multiple stages of the customer acquisition funnel.

Customer Engagement

Provides solutions to engage existing customers for contract renewals, upselling, and cross-selling.

Additional features

Predictive Lead Scoring — Predicts which leads are most likely to become customers.
Account Scoring — Prioritizes accounts based on predictive characteristics.
Buying Signal Detection — Identifies indicators of potential purchasing activity.
Machine Learning — Uses machine-learning models to analyze large datasets.
Predictive Analytics — Generates predictions from historical, behavioral and external data.
Behavioral Modeling — Incorporates customer/prospect activities into predictive models.
List-Based Scoring — Allows existing lists of accounts or contacts to be scored.
Real-Time Scoring — Updates scoring based on new information.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Countries & Languages

—
Countries served
1
Interface languages
—
Billing currencies

Interface languages

English

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