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7 Ways to Improve Your Lead Management Process

Zoominfo

First and foremost, effective lead management requires a deep understanding of the characteristics that make a prospect an ideal fit for your products and services. In fact, 35 to 50% of sales go to the vendor who responds first ( source ). Establish a service-level agreement for lead routing. Create buyer personas.

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Leveraging Integration Projects: How to Keep Your CRM Data Clean

SmartBug Media

Before diving into a customer relationship management (CRM) platform integration project , one step to take is the always important but somewhat dreaded task of data cleaning. 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.

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article thumbnail

7 Ways to Improve Your Lead Management Process

Zoominfo

First and foremost, effective lead management requires a deep understanding of the characteristics that make a prospect an ideal fit for your products and services. In fact, 35 to 50% of sales go to the vendor who responds first ( source ). Establish a service-level agreement for lead routing. Create buyer personas.

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27 RevOps best practices for driving revenue growth

Rev

Implement the use of a unified platform (e.g., 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. Let Rev’s AI-powered platform show you the companies you should target next !

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Did Somebody Ask About Data Quality?

DealSignal

A few years back, I attended a three-hour “vendor shoot out” between two CRM vendors hosted by an IT services firm. 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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Troubleshooting your B2B marketing data problems

Biznology

Business-to-business data continues to challenge marketers, who need to identify and communicate with customers and prospects, but who run into thorny issues every day. Problems range from duplicates, to key-entry errors, to missing data elements, and beyond. There are two ways to de-anonymize the website visit.

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7 Common Types of Dirty Data and How to Clean Them

Zoominfo

How to remain within data privacy regulations: Disorderly databases are the most likely candidates to house insecure data. There are several data hygiene practices you can implement to combat insecure data. Inconsistent Data Inconsistent or non-standardized data looks different, but represents the same thing.