Market intelligence explained plainly.
Definitions, comparison pages, and practical guides explained without jargon, for anyone new to market intelligence or building a program from scratch.
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Market segmentation
The five types, how B2B and consumer markets differ, the ADAMS test for a segment worth building, and the five-step process behind it.
Read guideDemographic market segmentation
Six variables, four data sources, how to turn a segment into campaigns and pricing, and where the method breaks down.
Read guideBehavioral market segmentation
The five types of behavioral segment, the data each one runs on, and the five-stage build from event collection to activation.
Read guideMarket segmentation examples
One sourced example per type: Census block groups, Coca-Cola's 250 names, VALS, Netflix and Nike's behavioral models, and Dun & Bradstreet.
Read guideWhat is market intelligence?
A simple definition, examples, data sources, and how the work differs from market research.
Read guideMarket intelligence vs market research
When to run a one-off study and when to build an ongoing intelligence program.
Read guideMarket intelligence vs business intelligence
Why one looks outside the company and the other looks inside, and how combining both gives a complete view of business health.
Read guideHow to gather market intelligence
A step-by-step workflow for goals, sources, competitor signals, customer insights, and dashboards.
Read guideMarket research methods
Surveys, focus groups, interviews, and secondary research, with usage data, sampling rules, and the seven-step process.
Read guideThe 4 types of market intelligence
Competitive, product, customer, and market understanding, plus industry intelligence.
Read guideMarket intelligence analyst
Role, sample job description, salary data, required skills, tools, and career path.
Read guideMarket intelligence examples
Real use cases and case studies from Ford, ZoomInfo, and McKinsey research, by business function and industry.
Read guideWhy is market intelligence important?
Data-driven decisions, competitive advantage, and risk reduction, with sourced benchmarks on the gap between leaders and laggards.
Read guideReal-time market intelligence
How continuous monitoring works, dynamic pricing, sentiment tracking, and choosing a tool built for speed.
Read guideReal estate investor strategy
Location intelligence, demographic data, and the four core investment strategies, from core to opportunistic.
Read guideData source attribution techniques
Citation methods, data lineage, and how machine learning models trace outputs back to training data.
Read guideMarket intelligence fundamentals
The four core components, how data gets collected and analyzed, and the tools and skills teams need.
Read guideMarket intelligence strategy
The intelligence types a strategy should cover, data collection strategy, strategic decision-making, and why most strategies fail.
Read guideProduct intelligence
How product intelligence data gets collected, drives innovation, and compares to business intelligence.
Read guideCustomer intelligence
The five data types, how customer intelligence software works, and how to reduce churn with it.
Read guideCustomer intelligence framework best practices
Building a customer intelligence strategy, data governance, and measuring what the framework produces.
Read guideMarket understanding
Market research, market trends, market dynamics, and turning research into informed decisions.
Read guidePricing intelligence
How pricing intelligence software, automation, and competitor price monitoring work together.
Read guideConsumer intelligence
Consumer intelligence differs from customer intelligence and market research, plus the tools and data sources behind it.
Read guideMarket intelligence analysis
How data gets collected, the 4 types of market intelligence, and the tools teams use to run it.
Read guideMarket intelligence data
Four types of market intelligence data, how each gets gathered, and how to choose a platform to track it.
Read guideSecondary market intelligence
How secondary research differs from primary research, where the data comes from, and how to conduct it well.
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