Remove De-duplication Remove Intent Data Remove Outreach Remove Segmentation
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What’s New with Albacross in April

Albacross

Now, you can build Segments based on technology insights from HG Insights, the global leader in technographic intelligence. The company stands out from other providers for its data mining technology, which tracks and refines data from over 20 billion unique sources. New Conditional Filters: Create Flexible Segments in Less Time.

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Content + Intent Data: The Foundation of a Frictionless Content Experience

Content4Demand

We recently gathered 10 intent data experts and power users and collected their tips and insights in The Content + Data Connection: 10 Top Marketing Executives Explore the Rewards of Integrating Intent Data into Content Strategies. Intent data removes the guesswork and the need for forms.

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7 Common Types of Dirty Data and How to Clean Them

Zoominfo

For B2B businesses using data to fuel successful sales and marketing efforts, having access to clean data is paramount. Data impacts critical go-to-market functions such as developing your ideal customer profile (ICP ), territory planning , segmentation , lead routing, and sales prospecting. How do duplicates happen?

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Sales Intelligence: What to Expect When You’re Prospecting

Zoominfo

Read on to see how data has evolved to drive specific business functions and drive revenue in four main areas. Role of Sales Intelligence In: Data Quality and Management Creating an Ideal Customer Profile Lead Generation The Technology Stack & Intent Data. Data Quality and Management. Can records be combined?

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The B2B Marketer’s Quick Start Guide: ABM Orchestration

Heinz Marketing

Connect to third-party systems to trigger sales plays, orchestrate actions in MAS and extend your outreach. Find expansion opportunities by monitoring intent and engagement by product line. Integrations: LinkedIn, Marketo, Drift, SalesLoft, HubSpot, Outreach, PathFactory, Salesforce, and more. Reviews/rating: G2 Rating: 4.3 / 5.

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Sales Intelligence: What to Expect When You’re Prospecting

DiscoverOrg

How do you measure data quality? We like DAMA UK’s six parameters for data quality : Completeness : Is the company, contact, or prospect record as complete as possible? Uniqueness : Are there duplicate records? Timeliness : Is the data fresh? Validity : Does the data conform to a common syntax? Intent data.