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A Comprehensive Introduction to Competitive Intelligence

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Competitive intelligence (CI) is the process of tracking, analyzing, and activating information related to your competitors.

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Who Uses Competitive Intelligence? 5 Key Stakeholders

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At this point, you’ve got a strong grasp on competitive intelligence (CI). If you’re really on your game, you might even be proficient in the analysis of competitive intelligence. You know what it is, why it’s important, and how to gather it. That’s awesome. Short answer: your entire organization.

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Sources of Competitive Intelligence: Your Go-To Guide

Crayon

This is where competitive intelligence (CI) comes into play–the process of capturing and analyzing information about your rivals to drive internal strategy changes and tactics.

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7 Market Research Examples for Competitive Intelligence

Cipher

Market research is an important––but often overlooked––element of the wider Market and Competitive Intelligence (M/CI) process. In many organizations market research and competitive intelligence report into different areas of a company. Therefore it’s common that key information is not shared between the two teams.

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Connecting Employees to the “Why Care” and “Where to Go” with Competitive Intelligence Integrations

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We all know your stakeholders can benefit from competitive intelligence , but let’s talk about the real problem: They have so many places to look for information that, rather than looking, they’ll often just ask a colleague a question instead. Customer Success. Product managers. Product marketers. Content marketers. Recruiters.

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How to Find Competitor Pricing Information (5 Key Sources)

Crayon

Picture this: You’re a sales rep at an email marketing software company. One day, you hop on a discovery call with a prospect. As you’re chatting with them about their goals, they say this: “Easy automation is really the key here.

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Competitive Intelligence Tools: Traditional Taxonomies vs. Natural Language Processing

Cipher

As you evaluate competitive intelligence tools , you will likely come across two major categories of systems: taxonomy-based systems and systems that use natural language processing for automated tagging.