FICILCOM Inc. LogoFICILCOM Inc.
  • Company
  • Company Overview
  • Mission · Vision · Values
  • Guidelines
  • Services
  • NeX-Ray
  • Xtrategy
  • Trial Job Change
  • Tsurugi
  • Recruit
  • Culture
  • Benefits
  • Process
  • FAQ
  • Open Positions
Contact
  1. Home
  2. Blog
  3. Marketing Glossary
  4. What Is Brand Loyalty? Behavioral and Attitudinal Measures

What Is Brand Loyalty? Behavioral and Attitudinal Measures

ブランドロイヤリティとは?顧客ロイヤルティとの違い

Published: 07/02/2026

Last Updated: 10/09/2026

Category: Marketing Glossary, CRM, LTV & Customer Management

Authors: Shusaku Yosa

Ready to put this into practice?

Start Xtrategy for free→

1-minute signup, free, cancel anytime

Brand loyalty concerns support for a brand and a tendency to keep choosing it. For operational decisions, separate behavioral evidence, such as repeat purchase, from attitudes, such as preference or intention. Continued use alone does not demonstrate strong affection or active commitment.

Convenience, an unexpired contract, or switching effort can sustain behavior. Conversely, a person may strongly prefer a brand but have little reason to purchase again soon. Understanding those conditions helps distinguish a product problem from a lack of opportunity or a barrier to buying.

Measure behavior and attitude as different dimensions

Behavioral measures may include repeat purchase, renewal, and purchase frequency. Attitudinal measures may include preference, favorability, and future use intention. Select measures for the category and decision rather than treating every indicator as interchangeable.

Recommendation intent can add context, but it is not an observed referral. For example, NPS measurement classifies respondents using a recommendation question. Keep the survey response, subsequent purchasing, and actual introductions in separate records, with clear observation dates.

Use four states to generate hypotheses

The matrix below is this article’s practical diagnostic aid, not a universal academic classification. The same person can move between states as needs and circumstances change. Define “high” and “low” for your own questions, population, and purpose rather than borrowing an arbitrary threshold.

Behavior

Attitude

Possible explanation

Investigate

High

High

Preference and repeated choice align.

Sources of value and changing expectations

High

Low

Convenience or switching barriers may sustain use.

Dissatisfaction, alternatives, and contract terms

Low

High

Support may exist without a purchase opportunity.

Need, availability, price, and timing

Low

Low

The proposition or audience may not fit.

Use case, initial experience, and expectations

A cell does not establish the cause. Another discount may not solve a service problem among people who continue reluctantly. Someone with strong preference and low repeat purchase may simply not need a replacement yet. Test the explanation with actual experience and buying conditions.

Align opportunities, windows, and denominators

Measure

Define the base

Interpret carefully

Repeat purchase

First-time buyers with a complete observation window

Recent buyers may not have had enough time.

Retention or renewal

A cohort with comparable eligibility

Separate contracts facing renewal from those not yet eligible.

Frequency

Purchases per relevant person in a fixed period

Needs and seasonal patterns can differ.

Preference or intention

Respondents to the same question and scale

Record composition and nonresponse.

Recommendation intent

Respondents to the stated recommendation question

Do not report this as actual referrers.

In a fictional example, all 100 first-time buyers from January are observed for 90 days, and 30 buy again. The 90-day repeat purchase rate is 30%. Adding yesterday’s buyers to the denominator creates an uneven opportunity to repeat. For a durable product, a 90-day window may itself be unsuitable.

If you survey the same people repeatedly, note whether people who leave also stop responding. If each survey uses different respondents, compare use cases and tenure. A higher reported rate does not automatically mean that each customer became more committed.

Ask why people continue and what makes it difficult

Ask about the most recent choice, alternatives considered, and moments when the customer nearly stopped. These prompts are often more informative than asking only why someone likes the brand. Invite criticism explicitly and avoid implying that positive answers are expected.

Connect interviews with service evidence where appropriate. Record how often a problem occurs and which users experience it. Low perceived value and high administrative effort call for different responses. More frequent consumption is not always beneficial to customers; making an appropriate future choice easier may be the better objective.

Choose an improvement that matches the problem

Unclear value may call for better use-case fit and explanations. Early difficulty points toward onboarding; ongoing frustration may require service or quality improvements. Strong preference without access could suggest availability or distribution issues. Points and membership benefits are options, not a solution for every state.

When inviting loyal customers to recommend the brand, ask whether they want that role. Continued purchasing is not permission to publish their story. Use the customer advocacy workflow for consent and workload. The relationship to awareness and associations is covered in brand equity components.

Follow attitudes and behavior after the change

Document the intervention, eligible audience, dates, and changes in price or channels. Better retention may reflect revised contract terms or discounts as well as stronger preference. Small survey differences should remain uncertain rather than being presented as guaranteed improvements.

For an investigation of customer benefits and burdens, use customer experience value design. Read the rate together with the reasons behind it, and focus on making the brand worth choosing rather than making it unnecessarily difficult to leave.

 

 

 

 

Table of Contents

  1. Measure behavior and attitude as different dimensions
  2. Use four states to generate hypotheses
  3. Align opportunities, windows, and denominators
  4. Ask why people continue and what makes it difficult
  5. Choose an improvement that matches the problem
  6. Follow attitudes and behavior after the change

 

Company

  • Company
  • Company overview
  • Mission · Vision · Values
  • Guidelines

Services

  • Services

Blog

  • Blog
  • Categories
  • Authors

Estimate

  • Estimate simulator

Careers

  • Careers
  • Culture & Work Style
  • Benefits & Systems
  • Hiring Process
  • FAQ
  • Open Positions

Policies

  • Privacy Policy
  • Anti-Social Policy
  • Information Security Policy

Contact

  • Contact

Social

  • X
  • LinkedIn
  • Facebook
  • Pinterest
© 2026 Ficilcom Inc.

Related Articles

パイプライン管理とは?案件の進捗を可視化して予測精度を上げる
CRM, LTV & Customer Management08/20/2026

What Is Pipeline Management? Stage Definitions, Stalled Deals, and Forecast Examples

Define pipeline stages using customer evidence, investigate stalled deals, calculate a hypothetical in-period bookings f...

Shusaku YosaRead more
中小企業のCRMの選び方|判断軸5つと導入時につまずく点
CRM, LTV & Customer Management08/19/2026

Choosing a CRM for a Smaller Company | Five Criteria and Where Adoption Stalls

How smaller companies should choose a CRM when nobody can be assigned to it full time. Covers five criteria — setup time...

Shusaku YosaRead more
オリエンシートの書き方|代理店・制作会社への依頼精度を上げるテンプレート
Marketing Glossary07/28/2026

How to Write a Creative Brief: A Filled Example for the Problem, Audience, and Budget

Write a creative brief that separates facts, hypotheses and goals. A fictional B2B example covers audience, budget, excl...

Shusaku YosaRead more