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reopt Handbook
reopt Handbook
New Brand Marketing Strategy

Brand Strategy

Brand Strategy

Agent-Based Marketing

Agent ArchitectureMarket IntelligencePersona Engineering

Digital Marketing Channels

Search MarketingContent MarketingSocial MediaPerformance Marketing

Customer Relationships and Offline

CRM and EmailOffline Marketing

Measurement and Operations

Marketing AnalyticsExperimentationCalendar and OKRs

References

Verification
Handbook›New Brand Marketing Strategy›Market Intelligence
한국어English

Market Intelligence

Build a repeatable research loop for customer, competitor, category, and channel signals.

Key takeaways

  • Market intelligence is the input system that stops the team from confusing internal opinion with market reality.
  • The signal map covers customer language, competitor moves, category narratives, channel behavior, and sales feedback, each with a marketing use.
  • The research loop starts from the decision it must support, collects dated sources with confidence levels, extracts repeated language, and converts findings into testable hypotheses.
  • The intelligence board records signal, source, confidence, implication, and the test that will validate it.
  • Quality checks warn against treating one loud customer as the market, confusing stated preference with buying behavior, or letting old signals look current.

Market intelligence is the input system for brand decisions. It prevents the team from confusing internal opinion with market reality.

Signal Map

SignalSource examplesMarketing use
Customer languageCalls, tickets, reviews, surveysCopy, objections, persona pain
Competitor movesWebsites, pricing, ads, content, launchesDifferentiation and positioning
Category narrativesAnalyst notes, communities, search demandCategory entry point
Channel behaviorSearch terms, social conversations, referral pathsDistribution planning
Sales feedbackLost reasons, objections, champion commentsProof and enablement

Research Loop

  1. Define the decision that research must support.
  2. Collect sources with date, owner, and confidence level.
  3. Extract repeated language, tensions, and unmet needs.
  4. Convert findings into hypotheses for message, channel, or offer.
  5. Test the hypothesis in content, sales, search, or ads.
  6. Archive what changed in the brand context pack.

Intelligence Board

ColumnMeaning
SignalRaw observation or quote summary
SourceWhere it came from
ConfidenceStrong, medium, or weak
ImplicationWhat should change
TestCampaign, page, post, or sales script to validate it

Quality Checks

  • Do not treat one loud customer as a whole market.
  • Separate stated preference from actual buying behavior.
  • Keep competitor analysis focused on customer choice, not feature copying.
  • Attach source dates so old signals do not look current forever.

Related docs

References

Reference categories for operating a brand marketing system.

Go-to-Market

Agentic MVP · Launch MVP experiments through controlled channels that produce interpretable signal.

Agent Architecture

Design AI-assisted marketing workflows with clear roles, inputs, and review gates.

Agentic MVP

How to use agentic coding workflows to build MVPs faster while preserving learning quality.

AI GTM Principles

AI-Era GTM · Strategic principles for redesigning go-to-market in the AI era.

Agent Architecture

Design AI-assisted marketing workflows with clear roles, inputs, and review gates.

Persona Engineering

Convert personas into testable hypotheses for messaging, channels, and offers.

On this page

Signal MapResearch LoopIntelligence BoardQuality Checks