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7 Ways to Improve Your Lead Management Process

Zoominfo

For more lead nurturing best practices, read the following post: The B2B Marketer’s Lead Nurturing Guide. As a marketer, you can get lead management exactly right and still see terrible results if you don’t prioritize data hygiene. Combat this problem by scrubbing your lead database and removing duplicates.

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The 2023 B2B Data Buyer’s Guide For RevOps Leaders

SalesIntel

Marketing and sales departments frequently work with their own data sets, knowledge, and procedures, while customer service teams create distinct customer experiences from marketing and sales. Data that is duplicated, erroneous, and harmful to your success. Typically, data is manually inputted at some point during the trip.

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6 thorny data problems that Vex B2B marketers, and how to solve them

Biznology

To shed some light on B2B data problems, Bernice Grossman and I compiled a working list of problems and solutions. Data entered by our sales people ends up as mush in our database. Consider enabling the data input group with a real-time interface with a database services provider to prompt the standard company name and address.

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27 RevOps best practices for driving revenue growth

Rev

Before Revenue Operations ( RevOps ) became an emerging function in the B2B world, things could get… confusing. In this blog post, we’re going to give you an overview of 27 RevOps best practices that can help drive growth for B2B companies. Do you remember? Consider implementing new solutions as appropriate.

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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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Did Somebody Ask About Data Quality?

DealSignal

Yet, at no point did I hear a discussion of data quality, data hygiene, contact verification, field standardization, or company and contact enrichment. Except for a short discussion on de-duplication of records, you would think that data was miraculously keyed into CRMs perfectly and wasn’t subject to decay.

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7 Common Types of Dirty Data and How to Clean Them

Zoominfo

How do you clean and prevent dirty data? What is Dirty Data? Dirty data represents faulty bits of information that can present problems in a business’s database. For B2B businesses using data to fuel successful sales and marketing efforts, having access to clean data is paramount. How do duplicates happen?