Aberdeen

DECEMBER 20, 2018

The accuracy of buyer intent data depends upon an accurate interpretation of an intent signal. Intent signals are given off by a prospective buyer’s behavior during their web-based research. The anatomy of these signals, however, is often vaguely interpreted and unreliable. Signal Keywords.

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Only B2B

FEBRUARY 11, 2024

We’ll break down types of intent data that tackle your business goals: Must Read: 10 Key Game-Changing Benefits of Intent Data First-Party, Second-Party, Third-Party Intent Data: Diving into Notable Differences But first, let’s understand what we mean by intent data. Then, they research solutions (following clues).

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Aberdeen

JANUARY 24, 2019

The smartest human minds cannot compute the massive volumes of buyer intent signals that are captured by algorithms today, and for that reason, my response to Kucera’s earnest questions is: Analytics, and predictive analytics, too. Target messages at targeted buyer intent signalers.

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Aberdeen

JANUARY 2, 2019

The solution must take a “wide capture” approach — one which leverages big data analytics, natural language processing (NLP) and machine learning (ML) to detect buyer intent signals across tens of thousands of technical, business, and industry publications. The post Is Your Intent Solution Detecting Buyers or Bots?

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Aberdeen

JANUARY 23, 2019

When it comes to Aberdeen’s huge sets of B2B purchasing intent data, there is no match for the processing power of artificial intelligence. Our market intelligence is powered by natural language processing (NLP), which translates buyer intent signals, and predictive output from machine learning of buyer journeys.

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Aberdeen

JANUARY 25, 2019

This success story tells an age-old tale, one of a marketing team adrift in a morass of content, who found their way to solid ground by following buyer intent signals emitted by their perfect audience. Check out Aberdeen’s comprehensive report Demystifying B2B Purchase Intent Data to learn more.

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Aberdeen

DECEMBER 27, 2018

It took time to be able to leverage true Data Science to account for a multi-stage buying journey and the massive quantity of buying intent signals available in today’s advanced buyer intent models. Predictive Analytics, often misunderstood as an alternative to buyer intent, commonly had the exact opposite problem.

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