#1 moment for ‘바나나우유’: "아침에 빠르게 에너지를 보충하고 싶을 때" 85.7%

01At a glance

8,011

Monthly situation search volume

2

CEPs

2

Unclaimed situations

85.7%

Largest CEP share · 아침에 빠르게 에너지를 보충하고

Start here

1아침에 빠르게 에너지를 보충하고 싶을 때Unclaimed situation volume 6,866No brand shows up in this big situation yet → plant content & ads on its search terms first
2달달한 음료가 당길 때Unclaimed situation volume 1,145Low search volume → deprioritize for now (start with the big situations above)

Unclaimed situation = a CEP where no brand was detected in its journeys or SERPs · Unclaimed situation volume = situation volume × (1 − brand fit). Situation volume is a proxy for how often the moment happens, not the volume of category-name searches

02Decision summary

what to do first

Priority	Entry situation (CEP)	Power	Unclaimed situation volume	Brand competition	Next action
1	아침에 빠르게 에너지를 보충하고 싶을 때	85.7%	6,866	brands not measured	No brand shows up in this big situation yet → plant content & ads on its search terms first evidence medium
2	달달한 음료가 당길 때	14.3%	1,145	brands not measured	Low search volume → deprioritize for now (start with the big situations above) evidence medium

Click a column header to sort by it · click a CEP name to jump to its detail card

Power = this situation's share of all CEP situation searches (bigger = wider door in) · Brand competition = whether brands show up in this situation's journeys/SERPs · Evidence = strength of the supporting search evidence (strong/medium/weak)

03CEP occurrence over timederived

when it grew and when it fell

Total entry demand (all CEPs)YoY (12M)-24%Last 3M YoY-18%Peak3mo.48 months · CEP 2decliningnon-seasonal

Click a row to switch the chart above to that CEP. Click the same row again, or the top row, to return to the total.

CEP	YoY (12M)	Last 3M YoY	Peak		queries
Total entry demand (all CEPs)	-24%	-18%	3	decliningnon-seasonal
빠른 아침 에너지↗	-24%	-18%	3	decliningnon-seasonal	2/2
달달한 음료↗	-20%	-15%	–	stablenon-seasonal	2/2

Peak calendar: CEP × calendar-month index

	1	2	3	4	5	6	7	8	9	10	11	12
빠른 아침 에너지	1.0	1.0	1.4	1.0	0.9	0.9	0.9	1.0	1.0	1.0	0.9	0.8
달달한 음료	1.1	1.0	1.0	1.0	0.9	0.9	0.9	1.0	1.0	1.1	1.0	1.0

Cell = that month's average volume ÷ overall monthly average (1.0 = average). Bold = peak month.

Monthly search volume per situation over 48 measured months: when and how often each situation occurs. Combined with survey data, it shows both the size of a situation and how it changes.

Rule: growing/declining = trailing 12-month sum vs the prior 12 months ±20% or more / peak month = calendar-month index ≥1.30 / seasonal = max ÷ min month index ≥1.8. Monthly values are measured monthly search volumes [measured]; CEP series are sums over measured measured queries [derived]. Unlike survey CEP power (share of respondents), this frequency is search occurrence.

04Competitive structurederived

fixed leaders, contested and open situations

fixed leader (0)

–

contested (0)

–

dispersed (0)

–

open (2)

빠른 아침 에너지 85.7% unmeasured
달달한 음료 14.3% unmeasured

Open has two kinds: measured with no brand mentions is a claim candidate; unmeasured needs a deep run or survey before claiming. · Contested = gap between #1 and #2 ≤10pt · dispersed = leader share <35% · HHI = sum of squared shares. Core CEPs (power ≥ median) are filled, others faded. Unmeasured are dashed (unknown, not empty).

05CEP power

each situation's share of all situation searches

total 2 CEP · [derived] power = the CEP's search volume ÷ total volume of all CEPs

06Brand × entry situation

claimed vs. open (all CEPs)

Brand links measured for 0 of 2 entry situations · the other 2 are graded as opportunities. Small k/m in a cell = brand-mention sample (small m = low confidence).

	Brand link
빠른 아침 에너지85.7%	Big land-grab: large unclaimed situation 85.7% · mo. 6,866
달달한 음료14.3%	Big land-grab: large unclaimed situation 14.3% · mo. 1,145

[derived] · colored cell = measured share (k/m sample) · green/amber row = land-grab opportunity (no brand linked, by situation size) · gray row = small · "·" = not queried (no data ≠ 0)

Discovered category brands (unlinked): 가나디, 빙그레, 덴마크, 매일유업, 서울우유, 상하목장, 푸르밀, 칸타타, 미노스, 이도온화

Brand counting basis: direct brand-name mentions (no product-name mapping).

07W-axis mixassumption

where this map's situations cluster

Why · purpose/benefit1 CEPs · power sum 86%

Who · for whom0 CEPs · power sum 0%

When · timing/trigger1 CEPs · power sum 14%

Where · place0 CEPs · power sum 0%

While · doing what0 CEPs · power sum 0%

With whom0 CEPs · power sum 0%

Feeling · mood0 CEPs · power sum 0%

BEP (benefit entry points): 0 / 2

Empty axes: Who · for whom, Where · place, While · doing what, With whom, Feeling · mood. This is where a candidate list may be trapped in the designer's hypotheses; add entry-situation candidates on these axes in the next run's review step.

The W-axis shows the angle each CEP arises from (why, for whom, when, where, while doing what, with whom, feeling) [assumption]; when scene-7W evidence exists, the most populated axis is used [derived]. BEP = entries where the desired outcome comes first, like why or feeling.

08Searcher profilemeasured

age and gender by situation

	13-19	20-24	25-29	30s	40s	50+	Gender split
빠른 아침 에너지	1	5	14	39	31	11	F 69%
달달한 음료	2	5	9	29	30	25	F 58%

lowhighEach cell is that age band's share (%) of the CEP's searchers

09Audience in the query

Who it is for

Only searches that name an audience (the recipient, companion or user) are counted, and their monthly volume summed. It reads who people search for, and with whom, straight from the queries.

Audience	Top queries	CEP	Monthly volume
Pets 강아지	강아지 바나나우유		87
Babies 아기	아기 바나나우유		82

Measured queries × fixed lexicon classification [derived]. A query naming two audiences counts in both.

10Evidence grade

What the qualitative attributes rest on

Nano intents, KBFs, constraints, avoidances, thresholds and reasons to believe carry one of four labels. Measured means the condition exists as real search queries with measured monthly volume. Consensus means Google's SERP and AI Overview state the same thing across several queries. A SERP is ranked and summarized from the click feedback of the people who searched that query, so content that repeats across queries and independent sources is read as what that society agrees on about the topic.

measured 25%assumption 75%

measured2 · exists as search queries, monthly volume measured

consensus0 · repeated in SERP/AIO of 2+ queries (or 3 independent sources)

derived0 · found in a single SERP sentence

assumption6 · interpretation without direct evidence

Based on the 8 qualitative attributes in this report; each counts once, at its strongest evidence.

Conditions with measured search demand measured

Condition	CEP	Top queries	Monthly volume	Trend
KBF빠르게 섭취 가능+ 편리함	아침에 빠르게 에너지를 보충하고 싶을 때	편의점 바나나우유 커피	1,373	↓-8%

Sum of monthly volume of measured queries that state the attribute's condition: queries containing its key terms verbatim, or queries that say the condition in other words (condition word checked, passed a separate review). Attributes hitting the same query set are merged. Trend uses 48 months of monthly volume (last 12 vs prior 12 months).

11Search data used in this report

A CEP is a situation that many search signals point to together, not a single keyword. This shows how much related-search, search-path, search-cluster, SERP text, PAA and AI Overview data was collected, and which of it served as evidence for each CEP's scene (when, where, why, with whom) and its nano context, KBF, constraints and avoidances.

Data	Collected	Used as CEP evidence
Related searches	250	in the dossiers of 0/2 CEPs
Search paths	653 paths (incl. 0 deep-measurement paths)	in the dossiers of 0/2 CEPs
Search clusters	0 clusters · 0 queries	in the dossiers of 0/2 CEPs
SERPs (Google results)	0	in the dossiers of 0/2 CEPs
AI Overview	0	in the dossiers of 0/2 CEPs
PAA (People also ask)	0	–

Where each CEP showed up

CEPs surface in different places depending on the topic and situation: some in search paths, some in clusters or related searches, some in AIO and PAA. Left: share of the CEP's measured query volume found in each source (discovery). Right: how often each source was cited for the scene 7W and attributes. 'none' means that source never reached this CEP.

CEP	Discovery (volume share)						Cited as evidence (count)
CEP	related searches	search paths	search clusters	AIO	PAA	mined from paths/clusters/AIO	CEP queries	search paths	search clusters	related searches	AIO	PAA	top results
아침에 빠르게 에너지를 보충하고 싶을 때	–	–	–	–	–	–	·	·	·	·	·	·	·
달달한 음료가 당길 때	–	–	–	–	–	–	·	·	·	·	·	·	·

12CEP detail cards

CEP 1purpose CEP

아침에 빠르게 에너지를 보충하고 싶을 때

Macroexplicit CEP

power 85.7% derived · avg monthly volume 6,866 · trend (3M) +13%

W-axis Whystructure open YoY (12M) -24% · Peak 3mo.decliningnon-seasonal

The situationassumption

아침에 시간이 부족할 때, 출근 전 간단히 아침을 해결하고 싶을 때가 있습니다. 이때 빠르게 에너지를 보충하고 싶지만, 아침 식사를 준비할 여유가 없습니다. 빠르고 간단하게 섭취할 수 있는 아침 대용을 찾게 됩니다.

Next actionNo brand shows up in this big situation yet → plant content & ads on its search terms first evidence medium

Investment priority derived

Investment candidate #1Unclaimed situation volume up to 6,866/mo

Market size 100 · Brand fit – · Provability 33, highest-priority investment on this 3-axis combination

Combines the 3 selection axes + power/volume via a fixed rule; a new calculation only, no new data

Scenes: micro-CEPs within this situation

출근 전 간단히 아침을 해결하고 싶을 때 assumption ‹아침 대용…›6,866 · 100% derived

아침에 시간이 부족할 때 assumption ‹아침 대용…›size unmeasured no data

Scene names are [assumption] bonded to quoted evidence · volume is the measured sum of scene-attributed queries [derived] · evidence-less scenes are discarded by code

Message angle assumption

Core message“아침, 바쁜 당신에게 필요한 건? 빠르고 편리하게 채우는 에너지 부스트!”

Content ideas아침 루틴 속에서 제품을 빠르고 간편하게 섭취하는 모습(출근 준비 중, 등교 전)을 담은 숏폼 영상 시리즈 · '5분 아침 에너지 충전 챌린지'와 같은 사용자 참여형 캠페인 · 바쁜 아침, 제품 하나로 간편하게 해결하는 모습을 보여주는 웹툰/일러스트

빠른간편한활기찬실용적인

Synthesized from KBF, reasons to believe, emotion & style, and the 6W1H scene

Show 8 evidence blocksHide evidence

Evidence queries measured

아침 대용 3,560measured간단한 아침 3,306measured

Nano intents (fine context)

시간이 부족할 때 ‹아침 대용›assumption

Context (7W)

why: 빠르게 에너지를 보충하기 위해 assumptionwhen: 아침에 assumption

KBF (choice criteria)

빠르게 섭취 가능 ‹search '편의점 바나나우유 커피' · 1,373/mo›measured

Emotion & style

편리함 ‹same evidence ↑›measured

Alternatives (outside category)

빵 ‹same evidence ↑›assumption

Selection axes (market · fit · provability)

Market size100

Brand fit–

Provability33

Searcher profile

Appendix: AI search exposure

AI tracking questions assumption

1“아침에 빠르게 에너지를 보충할 수 있는 음료가 필요해”existing prompt

2“출근 전에 간단히 마실 수 있는 음료 추천해줘”

3“아침에 시간이 부족할 때 마실 수 있는 음료가 뭐가 있을까?”

Questions this situation's consumers may ask an AI; used to track AI-response exposure

Reference block needed only when managing AI (AI Overview / chatbot) exposure. The blocks above cover situation understanding and marketing decisions.

CEP 2purpose CEP

달달한 음료가 당길 때

Microexplicit CEP

power 14.3% derived · avg monthly volume 1,145 · trend (3M) +4%

W-axis Whenstructure open YoY (12M) -20%stablenon-seasonal

The situationassumption

일상 중 출출할 때가 있습니다. 이때 달콤한 맛이 필요하여 달달한 음료를 원하게 됩니다. 결국 출출할 때 마실 달달한 음료를 검색하게 됩니다.

Next actionLow search volume → deprioritize for now (start with the big situations above) evidence medium

Investment priority derived

Investment candidate #2Unclaimed situation volume up to 1,145/mo

Market size 17 · Brand fit – · Provability 33, highest-priority investment on this 3-axis combination

Combines the 3 selection axes + power/volume via a fixed rule; a new calculation only, no new data

Scenes: micro-CEPs within this situation

출출할 때 달달한 음료가 필요할 때 assumption ‹출출할 때…›1,145 · 100% derived

Scene names are [assumption] bonded to quoted evidence · volume is the measured sum of scene-attributed queries [derived] · evidence-less scenes are discarded by code

Message angle assumption

Core message“출출할 때 찾아오는 달콤한 유혹, 한 모금으로 완벽한 만족감을 선사합니다.”

Content ideas달콤한 음료를 마시며 스트레스를 해소하거나 기분 전환하는 모습을 담은 ASMR 또는 릴스 · '나만의 달콤한 휴식 시간'을 주제로 한 사용자 참여형 이벤트 (제품과 함께하는 디저트 타임 인증샷) · 출출할 때 달콤함으로 채워지는 순간을 감각적으로 표현한 광고 영상

달콤한만족스러운행복한기분 좋은

Synthesized from KBF, reasons to believe, emotion & style, and the 6W1H scene

Show 8 evidence blocksHide evidence

Evidence queries measured

출출할 때 1,013measured달달한 음료 132measured

Nano intents (fine context)

달콤한 맛이 필요할 때 ‹달달한 음료›assumption

Context (7W)

when: 출출할 때 assumption

KBF (choice criteria)

달콤함 ‹same evidence ↑›assumption

Emotion & style

만족감 ‹same evidence ↑›assumption

Alternatives (outside category)

초콜릿 ‹same evidence ↑›assumption

Selection axes (market · fit · provability)

Market size17

Brand fit–

Provability33

Searcher profile

Appendix: AI search exposure

AI tracking questions assumption

1“출출할 때 마실 달달한 음료가 필요해”existing prompt

2“달콤한 음료가 당길 때 추천해줘”

3“출출할 때 달달한 음료가 뭐가 있을까?”

Questions this situation's consumers may ask an AI; used to track AI-response exposure

Reference block needed only when managing AI (AI Overview / chatbot) exposure. The blocks above cover situation understanding and marketing decisions.

13Brand summary

behavioral MMS proxy · width×depth

	MMS proxy [derived]	branded volume [measured]	depth (avg rank)
가나디	–	169,170	–
빙그레	–	75,733	–
덴마크	–	70,276	–
매일유업IKG	–	63,400	–
서울우유	–	45,386	–
상하목장	–	24,773	–
푸르밀	–	15,186	–
칸타타	–	9,446	–
미노스	–	2,590	–
이도온화	–	2,490	–

14Limits

what this map does not say

Any brand share / response-priority judgment ("how a brand is doing") holds only where brand linkage was actually measured for that CEP; check the measured ratio in Evidence readiness just below. Where many CEPs are unmeasured, treat brand-related conclusions as provisional.
Search reflects familiarity and purchase-consideration more strongly than unaided recall; in person-level validation, recognition alone drove search only 1.22x (near-negligible), while familiarity/consideration were clearly larger, reaching 7.0x (smartphones) / 5.3x (autos) when all 5 positive brand attitudes were held (Dotson et al., Google). This correlation is confounded by brand size (bigger brands move on many metrics at once), and validation was done at brand-total level.
Existing/habitual buyers don't disappear from search; the same study found brand owners searched their brand 2.5-3.5x more than non-owners (Dotson et al., Google). But much of that is non-need-expressing (brand-name/navigational/support queries), so this map's need-type CEP distribution skews toward new-entry/switch-consideration demand.
Brand share is relative within the measured set; an unqueried brand x CEP pair is [no data], not zero.
Paths are aggregate graph flow, not one person's timeline; "transition" is a modeled statistic.
CEP power's denominator is classified queries, not people; it isn't directly comparable to survey-based CEP power (denominator = people); the same person's 10 queries count as 10 votes on this map.
Queries that pick by naming a brand/origin are closer to a search mode than a situation, and differ in kind from other CEPs - they're bucketed separately to avoid contaminating need-type CEPs, so when counting "number of entry situations," we recommend excluding this item and the unclassified long tail.
Before decisions like budget/resource allocation, we recommend pairing this with survey-based recall measurement (person-level CEP power / share of mind).
The code discarded 39 AI-suggested item(s) lacking evidence (evidence is enforced).
Of 8 qualitative attributes: 2 measured (25%), 0 consensus (0%), 0 derived, 6 assumption. Measured means the condition exists as search queries, not that it drives purchase. Consensus is the social common sense Google has organized, not a fact check.

Evidence readiness: partial · 2 of 2 CEPs have measured search queries, brand linkage measured for 0; the rest need the co-query matrix / trigger expansion (deep run)

15Reproducibility

Search volume lookup 8 · Search paths 3 · Related searches 1 · AI synthesis 1

Data retrieval detail

Connector calls	Parameters	Credits spent
Related searches	바나나우유 +3 / kr / limit 250	620
Search paths	바나나우유 / kr / limit 300	6170
Search volume lookup	12 / kr	12
Search volume lookup	3 / kr	3
Search volume lookup	18 / kr	18
Search paths	간식 / kr / limit 200	6930
Search paths	숙취 해소 음료 / kr / limit 200	5490
Search volume lookup	264 / kr	264
Search volume lookup	80 / kr	80
Search volume lookup	11 / kr	11
Search volume lookup	2 / kr / all	20
Search volume lookup	6 / kr	6
AI synthesis	gemini-2.5-flash (S0 grounded + S3 synthesis)	0

Credits spent: 19624 [measured]

Reused IKG graph: topic '바나나우유' · readiness: ready · 4-day-old snapshot · adopted 1 entry situations / 0 attributes · 0 credits IKG

CEP Finder 2.1 run; input "바나나우유", depth=quick
Volume is the trailing 3-month average monthly searches [measured]. Power's denominator is the set of queries classified into CEPs.
Brand share uses one method per CEP: brand appearance in search paths, measured brand co-searches, or brand mentions in the situation's search results and AI Overviews; never blended.
A CEP is a unit of "situation/scene," not "person"; from a penetration angle: more entry situations means a wider door for non-customers and light users.
Irrelevance screening: quarantined 2 homonym/other-market keyword(s) from the collection net (e.g. 스트레스 해소, 바나나 주스 만들기)
Reused a stored IKG (Intent Knowledge Graph) graph: topic '바나나우유', readiness: ready, 4-day-old snapshot, run cf68786bca90 (0 credits). 1 entry-situation and 0 attribute proposals were adopted only after passing this run's measurement and evidence checks (50 dropped); adopted items carry an IKG source tag in the report
2 CEP(s) with unmeasured brand linkage; can be expanded via a deep run