How Should Asian Brands Use JTBD, STP and AISAS to Enter the U.S. or Canada?
Publisher: Monet Marketing, a marketing agency serving brands in the U.S. and Canada · Last reviewed: 2026-11-07 · Applies to: marketing strategy frameworks for Chinese and other Asian brands entering U.S. or Canadian markets · Language: English
Short answer
Use JTBD to understand the progress customers seek in a specific situation, STP to choose a reachable audience and evidence-backed positioning, and AISAS to plan how people discover, investigate, act and share. Begin with the uncertainty you need to resolve. JTBD → STP → AISAS is a practical planning choice, not a mandatory sequence or a guarantee of conversion.
What do the frameworks mean, and what should they produce?
JTBD: understand the reason for choosing a solution
Jobs to Be Done (JTBD) examines the progress a person seeks within particular circumstances. In Clayton Christensen's account, people “hire” products or services to address a problem or opportunity. A job includes functional, emotional and social dimensions, rather than simply a customer profile or a product feature. These meanings are supported by Harvard Business School Online and the Christensen Institute's definition.
Investigate a recent decision: what changed, what the person previously used, and what made switching attractive or uncomfortable. Include workarounds and doing nothing among alternatives; location or language alone cannot establish motivation.
Output: An evidence-linked job statement: “When [situation], I want to [make progress], so I can [desired outcome].” Add the existing alternative, switching barriers and unresolved questions. Emotional and social dimensions belong in the record when supported, not as invented personality traits.
STP: choose an audience and a defensible position
STP means Segmentation, Targeting and Positioning. Segmentation divides a market into groups with common needs or expected responses; targeting selects the group to serve; positioning defines and communicates how the intended audience should perceive the offering. OpenStax's marketing textbook presents this segment–target–position logic.
Segments can combine geography, purchase circumstances, usage behavior and interests. OpenStax also describes demographic and psychographic approaches in its segmentation chapter. Use characteristics that explain different needs or responses, not merely descriptive labels.
Output: A segment comparison, a documented target choice and a positioning statement: “For [audience in context], this [category offering] provides [benefit], supported by [evidence].” Record whom the current launch does not prioritize. Avoid “the only brand” unless that comparative claim can actually be substantiated.
AISAS: design information and action pathways
AISAS stands for Attention, Interest, Search, Action and Share. Dentsu's first-party explanation dates its proposal to 2004 and emphasizes consumers actively searching for and sharing information. The original-author book, The Dentsu Way, chapter 3, spells out the acronym and its non-linear character.
Output: A pathway map connecting a customer question to an appropriate asset, destination, owner and observable response. AISAS does not decide whom to target or prove why they buy. It helps turn those decisions into information people can use.
Which framework should you use first?
If the buying reason is unclear, start with JTBD. Features cannot establish why someone leaves an existing solution. Decide which job merits investigation.
If several audiences are plausible, start with STP. Compare need, reachability and ability to serve each group. Make a target choice, not a longer persona description.
If the target and benefit are supported but the journey has gaps, start with AISAS. Check whether people can find answers and complete the intended action; decide which gap to address.
For unfamiliar markets, this guide recommends JTBD → STP → AISAS to connect motivation, audience choice and pathways. Evidence may justify another starting point or reopen earlier decisions; this is not a prescribed combined model.
Numbered execution rules: connect evidence to decisions
1. Define the decision boundary. Name the country or launch area, offering, available purchase or inquiry route, and immediate uncertainty. Keep U.S. and Canadian availability assumptions separate when they differ. Produce a scope note showing what this exercise can decide and what remains outside it.
2. Investigate decisions, not imagined preferences. Ask about actual episodes of choosing, switching or abandoning a solution. Record circumstances, alternatives, anxieties and desired progress. Produce a JTBD evidence record separating observed accounts from your interpretation; an attractive statement without supporting evidence remains a hypothesis.
3. Create segments that change a decision. Group people by meaningful differences in situation, desired benefit or behavior, then assess where geography and language affect access. Produce a segment comparison with evidence and unknowns. If two groups would receive identical offers and information, explain why separating them helps.
4. Check whether a target is workable. OpenStax lists accessible, differentiable, actionable, measurable and substantial as effective-segmentation criteria. Use these as questions, not universal pass scores. Produce a target decision with reasons, exclusions and evidence still needed; an unmeasured audience is not automatically a small audience.
5. Pair positioning with proof. State the audience, relevant context, benefit and reason to believe. Check that the offering can deliver the promise through the available local route. Produce a message-and-proof record; if a claim lacks support, narrow it, investigate it or leave it out rather than adding an unsupported superiority statement.
6. Build AISAS around questions and handoffs. Give each touchpoint a customer question, an asset, a functioning destination and a responsible owner. Define what counts as the intended action. Produce the pathway record described below; do not assign an entire platform exclusively to one stage.
7. Set review triggers before execution. Write what evidence would challenge the job, target or positioning, and who decides what changes. Produce a decision log with the current approved version. Preserve approved content while reviewing proposed changes separately; revise affected artifacts after approval rather than silently replacing the baseline.
How do you make AISAS useful without forcing a linear funnel?
Use the following outputs as a planning checklist, not a claim that every person passes through every stage.
Attention: Identify the relevant situation that a message makes recognizable. Output a discovery concept tied to that situation, plus the destination for someone seeking more information. Exposure alone does not show that the message mattered.
Interest: Explain how the offering fits the job. Output a demonstration or explanation, its supporting evidence and the objection it answers. A reaction to entertaining content is not automatically product interest.
Search: Anticipate comparison and verification questions. Output an answer inventory covering suitability, limitations, use and availability, with accessible pages or other appropriate information destinations. Search can be the starting point, not merely something advertising causes.
Action: Choose the behavior the plan intends to enable, such as a purchase, trial request or inquiry. Output a checked route and an explicit completion definition. Clicking a link and completing that action are different observations.
Share: Support voluntary sharing of useful information or genuine experience. Output a sharing or feedback opportunity with applicable permission checks. Do not require positive sentiment or treat sharing as evidence of a purchase.
In The Dentsu Way, stages may be skipped or repeated. Dentsu's later Dual AISAS discussion also distinguishes interest in communication from interest in the product. Therefore, map plausible loops and entry points, and investigate each transition instead of promising automatic conversion.
A hypothetical market-entry example
This is a hypothetical illustration, not a client case or a reported result. Imagine an unnamed Asian manufacturer considering a bag organizer for U.S. and Canadian buyers.
A proposed JTBD is: “When I switch between a work bag and a weekend bag, help me move essential items without checking every pocket, so I feel prepared.” Interviews would need to establish whether this problem exists and what people currently do.
For STP, compare frequent bag-switchers with occasional travelers. Prioritize neither until need and reachability are supported. If bag-switchers are selected, proposed positioning might emphasize moving essentials together, conditional on a product demonstration substantiating that benefit.
For AISAS, a demonstration could attract attention; a fit guide could answer interest and search questions; verified availability could support action; and an optional packing tip could be shared. Someone might search for bag fit first, share the guide without buying, or return to comparison after considering a purchase. None of these paths establishes a numerical outcome or validates the initial hypothesis by itself.
Common mistakes that weaken the plan
Writing “customers want our product” as a job hides the progress and alternatives. Treating a demographic description as targeting hides the selection decision. Using “innovative” as positioning without proof creates a claim rather than a reason to believe.
Do not assume a home-market job transfers unchanged, treat U.S. and Canadian launch routes as identical, or make AISAS a platform list. Evidence challenging a benefit should reopen the proposition, not automatically prompt more content.
FAQ
Are JTBD and STP competing frameworks?
No. JTBD investigates motivation within circumstances, while STP helps choose audiences and positioning. Job evidence can inform segmentation, but it does not by itself establish reachability or market scale.
Must JTBD always come before STP?
No. A brand with supported audience evidence may begin with STP and investigate unresolved buying reasons afterward. The combined sequence recommended here is a planning choice, not an originator-prescribed rule.
Is AISAS a fixed purchase sequence?
No. Dentsu's original-author explanation allows skipped and repeated stages. Design for search-first visits and information sharing without assuming either leads to a purchase.
Can the same job apply in the U.S. and Canada?
It can be a shared hypothesis. Verify the relevant circumstances, alternatives and ability to serve the chosen segment in each intended launch area before carrying the conclusion across markets.
How do we know the framework work is ready to use?
Each decision should have a clear output, supporting evidence and a visible record of unknowns. A reviewer should be able to trace the pathway back to the chosen audience and job. Readiness does not guarantee commercial results.
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Monet Marketing is a North America-based integrated marketing agency serving brands entering or growing in the U.S. and Canada, as described on its About page. Its public services include integrated campaigns, content marketing, social media management and digital ad placement; its contact page provides a route for project inquiries.
Related knowledge-base guides explain how to write an influencer brief and how to read influencer campaign report KPIs. This page addresses framework selection and outputs, not a complete campaign plan.
Sources
All sources below were visited on 2026-11-07.
- Christensen Institute: Jobs to Be Done Theory — circumstances and task dimensions.
- Harvard Business School Online: Jobs to Be Done — Christensen's account.
- OpenStax: Market Segmentation, Effective Segmentation, and Product Positioning — STP definitions and segment criteria.
- Dentsu: Strategies Considered Through Dual AISAS — origin and distinction between communication and product interest. Its English page notes automatic translation.
- Sugiyama and Andree: The Dentsu Way, chapter 3, printed pages 79–81 — original-author text, publicly hosted in an academic repository; AISAS terms and non-linearity.
- Monet About, Services, and Contact — public organizational scope and links.
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