JourneyFinder is a tool that provides a Consumer Decision Journey (CDJ) Map meticulously analyzed by AI.
The CDJ Map is a map that illustrates the entire process of a consumer recognizing their needs, finding a product or service to satisfy them, and making a purchase.
You can gain insights into what consumers are curious about, what alternatives they compare, and which brands they encounter at each stage of the CDJ.
Enter Seed Keywords
Enter up to 10 core seed keywords related to the product, brand, or industry you want to analyze.
Smartphone Market | Toothpaste Market | Hair Loss Shampoo Market |
Samsung, Apple, Google Pixel, Galaxy, iPhone, Smartphone | toothpaste, sensodyne toothpaste, crest toothpaste, colgate toothpaste, boka toothpaste, marvis toothpaste, arm and hammer toothpaste | Hair loss shampoo, nizoral anti dandruff shampoo, kerastase shampoo, biotin shampoo, ogx thick and full shampoo, ketoconazole 2% shampoo, nioxin shampoo, aveda shampoo |
Guide to the Analysis Plan
When a project is created, the AI automatically classifies its category based on the [Seed Keywords] entered by the user and their corresponding search results. Based on this category value, irrelevant keywords are excluded from the analysis in the subsequent process.
Clicking 'Create Project' will generate the project and consume one of your project credits. You can create up to 10 new projects per subscription cycle (monthly).
Create Project (AI Automatic Analysis)
It automatically performs the following data collection and classification tasks:
Querying related keywords
Excluding keywords with no search volume and filtering irrelevant keywords
Brand Identification
CDJ Classification
Topic clustering by stage
At the very top of the results screen, you can check the project summary.
Seed Keywords: The seed keywords used for the analysis.
Total Keywords: The total number of keywords for the final analysis after filtering.
Total Search Volume: The total sum of the monthly average search volume for all collected keywords.
Total Topics: The total number of unique topics generated by analyzing keyword intent.
Total Brands/Products: The total number of unique brand and product names identified.
A bubble graph is provided that visualizes keywords, segmented by each CDJ stage, at the topic level. The size of the bubble is determined by the aggregated search volume or the count of the keywords it contains.
In the [Initial Exploration] stage, consumers search for solutions to solve their current problems or needs. It is a stage where they explore what products are in the relevant market and what brands exist.
They do not yet designate specific brands and are in the stage of first becoming aware of brands or products in that market through general keywords (non-brand keywords) that include product categories, purpose of use, or topics of interest.
Keyword Examples: smartphone under $200, SUV car recommendations
In the Initial Exploration stage, CEPs (Category Entry Points) can be discovered. A CEP refers to the key situations or triggers that come to mind when a consumer intends to purchase or use a specific product category. If a brand is strongly associated with that moment, it is naturally included in the consumer's consideration set, increasing the probability of leading to a purchase.
The [Browsing] stage is a phase where consumers deepen their search to find more detailed information about a specific product or brand. Consumers explore by combining brand keywords with the product features, attributes, or specs they are curious about, narrowing down to the brands they are interested in and conducting comparative analysis.
Keyword Examples: LG French door refrigerator capacity, Xiaomi EV battery
In this stage, companies must actively intervene in the consumer's information-seeking activities to effectively deliver accurate and persuasive information.
The [Experience] stage is where consumers check reviews or feedback from other consumers who have already used a specific product, or opinions from experts in that product field, to reference in their decision-making.
While the previous Browsing stage focuses on rational persuasion through objective information, the Experience stage is an important step where objectivity is actually reinforced by understanding the product's value through third parties—showing how other consumers or experts evaluate it.
Keyword Examples: LG Objet refrigerator review, Xiaomi phone Reddit
By actively exposing positive user experiences and reviews using various media channels (customer reviews, social media, product review platforms, online communities), you can promote the consumer's purchase decision-making.
In the [Confirmation] stage, consumers intensively contemplate where, under what conditions, and at what timing to buy the product they are considering for purchase, in order to get the best deal.
Keyword Examples: S23 unlocked lowest price, iPhone 14 unlocked hot deal
Preparing content that responds to keywords in this stage, which clearly contain purchase intent, is particularly important for increasing sales. Buy Pages and promotion pages are representative examples.
In the [Own & Service] stage, consumers perform various searches to resolve diverse questions or issues experienced while using the product right after purchase, and to strengthen their sense of community with others who are using the same product.
Keyword Examples: Dyson Airwrap repair, Harley-Davidson owners group
You can strengthen relationships with existing customers and induce repurchases and recommendations through post-purchase support services for continuous relationship maintenance, loyalty programs, special promotions, and customized offers.
You can check the SERP (Search Result Page Content) exposure share to see how well your domain or competitor domains are responding to keywords segmented by consumer journey stage.
1) Enter Domain
Activate the Domain Visibility filter and add up to 5 domains you want to analyze.
When you enter a domain address, the system automatically detects root/sub-domains, etc.
2) Check Share
When you select a domain, it identifies the keywords for which that domain is exposed within the top 10 of Google's organic search results.
3) How Share is Calculated
When you hover over a bubble, the topic will be displayed with the domain filter applied.
Keyword Count: The number of keywords included in that topic.
Total Search Volume: The total sum of the monthly average search volume for keywords included in that topic.
Visibility: Number of keywords where the selected domain appeared on the SERP / Number of keywords included in that topic.
Keyword: The keyword being analyzed.
Volume: The monthly average search volume for the last 3 months (For KR data, Google/Naver combined).
CDJ Stage: The CDJ (Consumer Decision Journey) stage classified by AI.
Topic: A topic group clustered by keywords with similar search intent after being segmented by CDJ stage.
Brand/Non-Brand: A classification value based on whether a specific brand is included in the analyzed keyword.
Brand/Product: The value extracted (brand or product name) if the keyword is judged to be a brand keyword.
Target Keyword, Intent Keyword: The values obtained by splitting the analyzed keyword into a Target Keyword and an Intent Keyword.
Target Keyword: The word or phrase that is the core topic of the search or the object of concern and desire.
Intent Keyword: The word that clarifies the context, purpose, and intent for searching the target keyword.
Information Seeking: When wanting to know descriptions, causes, effects, or methods related to the target.
Problem Solving: When looking for solutions or information for a specific problem or situation.
Purchase Intent: When looking for information related to purchasing a product or service.
Indirect Experience Check: When seeking information from a specific platform or community.
Comparative: When comparing products or items using "vs".
Keyword | Target Keyword | Intent Keyword |
vitamin c benefits | vitamin c | benefits |
retinol skin purging | retinol | skin purging |
Galaxy preorder | Galaxy | preorder |
Samsung vs Apple | Samsung | vs Apple |
You can improve the accuracy of the analysis by removing unnecessary keywords included in the AI analysis results or by correcting classifications. There are two editing methods:
Auto Edit
Used to quickly and efficiently exclude and reclassify large volumes of keywords.
Exclude Irrelevant Keywords by Cluster Group
ou can exclude topics by cluster groups from the analysis.
Exclude Irrelevant Keywords by Individual Keyword
You can exclude keywords by selecting them one by one.
Regenerate Project
After excluding keywords, proceeding with 'Recreate Project' will re-initiate the AI classification task on the remaining keywords, and this will consume one recreation credit.
Manual Edit
Used when you want to directly modify the classified data.
Download the current data.
You can directly change the values of the following items in the data editing area:
Target Keyword, Intent Keyword, Brand/Non-Brand, Brand/Product Name, CDJ Stage, Topic
If you want to exclude irrelevant keywords, delete the entire row containing that keyword.
Upload the data file again after editing and saving are complete.
❗️Modifying data other than the designated editing items (e.g., Search Volume) may cause an error.