Remove Data Hygiene Remove De-duplication Remove Lead Scoring Remove Marketing Automation
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7 Ways to Improve Your Lead Management Process

Zoominfo

The importance of lead generation is ingrained in the mind of every modern marketer— the more high-quality leads you bring in, the better. But, as the buyer’s journey becomes increasingly multifaceted, it’s now clear that lead generation is just one piece of the marketing puzzle. What is lead management?

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7 Ways to Improve Your Lead Management Process

Zoominfo

The importance of lead generation is ingrained in the mind of every modern marketer— the more high-quality leads you bring in, the better. But, as the buyer’s journey becomes increasingly multifaceted, it’s now clear that lead generation is just one piece of the marketing puzzle. What is lead management?

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27 RevOps best practices for driving revenue growth

Rev

CRM, marketing automation platform or data warehouse) for data tracking and analysis so that all teams can easily access the same key performance indicators and data points. Key metrics include customer lifetime value, customer churn, sales pipeline velocity and customer acquisition cost.

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Leveraging Integration Projects: How to Keep Your CRM Data Clean

SmartBug Media

Quite simply, the goal of data cleaning is to remove data that is incorrect in an effort to prepare data for analysis or an integration. This could mean removing incomplete data, data that is not formatted correctly, or data that is duplicated. Remove Duplicate Information.

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Did Somebody Ask About Data Quality?

DealSignal

The consultants ran through a series of standard CRM processes including lead management, dashboards, record customization by the site admin, and Outlook integration. Yet, at no point did I hear a discussion of data quality, data hygiene, contact verification, field standardization, or company and contact enrichment.

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How Data Cleansing Helps Expiring Data and Poor Leads

Convince & Convert

Large companies live or die based on their data, so you’d think that marketing data would be strictly controlled and carefully recorded and maintained. In fact, in non-tech companies, where marketing automation adoption rates were only 3% in 2014, this is almost never the case. Understand Your Target Market.