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AI Video Ads: Measurement Keywords Surge Up to 450% in Japan

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トレンドレポート100 結果公開 2026/06/20 06:16:45

Executive Summary

The Japanese search landscape around AI-powered video advertising is undergoing a sudden, dramatic shift. While the core term “AI 動画 広告” (AI video ads) itself shows only moderate, steady interest (avg. 70 monthly searches, growing +28.6% over 3 months), a constellation of related keywords – especially those concerned with measuring advertising effectiveness – has exploded in demand. Searches for “交通 広告 効果 測定” (transit ad effectiveness measurement) and “web 広告 効果 測定” (web ad effectiveness measurement) each surged +450% in the last 3 months, while “ooh 効果 測定” (out‑of‑home effectiveness measurement) jumped +420%. These terms are now among the highest‑scoring opportunities in the dataset, yet they remain in low‑competition territory with competition indices of just 6–8. In plain language: buyers are suddenly desperate to prove that their ad spend works, and the search results for how to do it are still wide open for new content. This is a temporary window of low competitive pressure and soaring interest that will not last if ignored.

The flip side is a large set of engagement‑ and brand‑awareness keywords that have either plateaued or are in outright decline. Terms like “顧客エンゲージメント とは” (what is customer engagement) and “ブランド認知度向上” (brand awareness improvement) still carry solid baseline volume but are no longer growing – and in some cases, longer‑term trends point to a slow erosion of interest. Meanwhile, the highest‑volume keyword in the entire run, “カスタマージャーニー” (customer journey, 14,800 searches/month), is a stable giant with almost no competitive resistance (competitionIndex 11), but its flat‑to‑declining multiyear trend makes it a defensive play rather than a growth bet.

For decision‑makers, the message is clear: allocate near‑term content and product resources to the measurement niche, especially around emerging channels (transit, web, OOH) where growth is hottest and competition is minimal. Protect existing positions on mature engagement keywords, but don’t chase them with new ad spend. This is a story of a market racing to justify its existence – the brands that help advertisers measure their impact will capture disproportionate mindshare right now.

Data Overview

The seed topic for this mining run was “ai 動画 広告” (AI video advertising), targeting Japanese‑language search globally (“global” market, locale “ja”). The system was asked to return 100 candidate keywords and delivered exactly 100, having scanned 142 and expanded to 141 unique terms with zero failures. Data was collected on 2026‑05‑07, with the latest available monthly data point being March 2026 (data basis: run.requestedCount=100, run.resultCount=100, run.expandedCount=141, latestDataMonth=“2026‑03”).

The keyword set is layered: the seed sits at depth 0, followed by 38 depth‑1 terms (generated directly by AI expansion), and 61 depth‑2 terms (sourced via keyword‑idea mining, often as semantic variations or compound phrases). This means more than half the candidates are refinements of the core concepts, reflecting real search query language rather than broad‑brush category labels – a good sign that the data mirrors actual user intent.

Search volume follows a classic long‑tail distribution. The head is dominated by a few massive terms: “カスタマージャーニー” (14,800), “インプレッション” (12,100), and “SNSマーケティング” (9,900). These three alone account for a substantial share of aggregable demand. Then the curve drops sharply: the next tier sits in the 480–880 range (“クリック率,” “マルチチャネル,” “顧客エンゲージメント,” etc.), and the vast majority (roughly 75% of keywords) have monthly search volumes of 100 or less. The median volume is around 50 searches/month, while the minimum is 10. This is an order‑of‑magnitude gap between the biggest and the most niche terms (data basis: max avgMonthlySearches=14,800, min=10, median≈50).

The composite opportunity score behaves similarly. It peaks at 937 for several effectiveness‑measurement keywords, then declines gradually. The median score hovers around 30, while a handful of declining terms push the minimum down to –179.2 (data basis: score range –179.2 to 937). Competition, however, is unusually lenient across the board: about 85% of keywords are classified as “LOW,” with a competitionIndex between 0 and 33. Only five keywords breach into HIGH (67‑79), and those are mostly low‑volume, specialist terms. This overall low‑competition environment is a critical context: for most topics in this space, the first page of Google is still not heavily monopolized by ad‑spend‑heavy players (data basis: competitionIndex median≈12, max=79).

Trend & Growth Analysis

To understand where genuine momentum lives, we sorted all keywords into four behavior groups based on their 3‑month trend direction, growth rates over longer periods, and the shape of their monthly history. The classification criteria were:

  • Sustained rising momentum: trendDirection3m = “up,” growth.3m > 0, and growth.6m > 0 (where available), plus a trendHistory that shows an overall incline rather than a single spike.
  • Short‑lived spike / recent surge: an upward 3‑month change but with a flat or negative 6‑month growth, or a trendHistory that jumps from a very low baseline and may already be retreating.
  • Stable/mature: trendDirection3m = “flat,” growth rates near zero, and a history that oscillates within a narrow band.
  • Declining: trendDirection3m = “down,” and negative growth across both short and longer periods.

Sustained Rising Momentum

This group contains 23 keywords, roughly one‑quarter of the dataset. It is the most commercially promising cluster. Representative examples:

  • “web 広告 効果 測定” (web ad effectiveness measurement): 70 searches/month, +450% 3‑month growth, +57.1% 6‑month growth. Its trend history shows values exploding from 20 in Jan 2026 to 110 by March 2026, with no sign of slowing (data basis: avgMonthlySearches=70, growth.3m=450, growth.6m=57.1).
  • “リスティング 広告 効果 測定” (listing ad effectiveness measurement): 20 searches/month but +300% growth over both 3 and 6 months. Volume is small but the trajectory is a straight line up from a near‑zero base (data basis: avgMonthlySearches=20, growth.3m=300, growth.6m=300).
  • “デジタルプロモーション” (digital promotion): 260 searches/month, +129.4% 3‑month and +50% 6‑month. Its multiyear history shows it had a previous peak around 2023‑2024, then declined, and is now recovering past the 3‑year average – a cyclical renewal rather than a fad.
  • “動画広告制作” (video ad production): 260 searches/month, +129.4% 3‑month, +50% 6‑month. The history reveals a recent trough in late 2025 followed by a sharp rebound to 390 in March 2026 – its highest March value on record.

Why these keywords are rising sustainably: they sit at the intersection of a structural market need (marketers under pressure to justify ROAS) and a technology shift (AI enabling new video ad formats). The search interest isn’t a one‑off campaign; it’s a broadening of measurement literacy across channels. Compared to the “short‑lived spike” group, these have a 6‑month tail of growth, meaning the trend started building at least half a year ago and is still gaining (data basis: all have growth.6m > 0).

Short‑Lived Spike / Recent Surge

About 31 keywords fall here. They often have eye‑catching 3‑month jumps but lack staying power. For instance:

  • “交通 広告 効果 測定” (transit ad effectiveness): 70 searches/month, +450% 3‑month but 0% 6‑month. The monthly series shows a pinball pattern: 50→70→140→110→90→110→90→20→30→20→50→110. The latest 110 is actually a recovery to a level already seen in July 2025, not a new high.
  • “ooh 効果 測定” (out‑of‑home effectiveness): 170 searches/month, +420% 3‑month, –18.7% 6‑month. The 6‑month decline tells the bigger story: despite the recent spike, the half‑year trend is negative (data basis: growth.6m=–18.7).
  • “ブランド認知度向上” (brand awareness improvement): 40 searches/month, +400% 3‑month but +25% 6‑month and 0% 1‑year. Its 4‑year history shows it bounces permanently between 10 and 90, never sustaining a breakout. The current “surge” is just the latest bounce (data basis: growth.1y=0).

These spikes often correspond to seasonal bursts (e.g., a new fiscal year prompting budget reviews) or to a viral industry report. The risk is that advertisers who see the headline growth number and rush to bid on these terms will find themselves holding a costly position when demand retreats to its baseline.

Stable/Mature

This is the largest group, with about 35 keywords. They include the heavy hitters by volume – “カスタマージャーニー” (14,800 searches), “インプレッション” (12,100), “SNSマーケティング” (9,900) – but also many long‑tail terms. Their defining characteristic: demand is large but unchanging. For example, “カスタマージャーニー” has fluctuated between 9,900 and 22,200 for four years, with a gradual overall decline of –18.2% over the last year. These are the “given” terms that every player in the market already ranks for; they are unlikely to deliver new incremental traffic unless you are entering the space for the first time (data basis: trendDirection3m=“flat”, growth.3m ≈ 0, growth.1y negative).

Declining

Only 11 keywords, but they are cautionary tales. “コンバージョン最適化” (conversion optimization) shrank –33.3% in 3 months and –71.4% over 6 months. “テレビ cm 効果 データ” (TV commercial effectiveness data) is down –50% in 3 months. The common thread is that these are terms tied to older advertising paradigms (TV, print, generic conversion talk) that the market may be abandoning in favor of the newer, more digital‑native measurement vocabulary found in the “sustained rising” group.

Seasonality

For the 48 keywords that have trendHistory going back beyond 12 months, we examined the monthly series for recurring annual patterns. No consistent seasonal peaks or troughs emerged. The few apparent spikes (e.g., a high in January for some B2B terms) were not repeated across years. For the remaining 52 keywords, the available time window (Apr 2025 – Mar 2026) is simply too short to judge seasonality safely. Therefore, all growth rates discussed here should be interpreted as real trend movements, not calendar artifacts.

Competitive & Commercial‑Value Matrix

To prioritize where to play, we mapped every keyword onto a demand‑vs‑competition grid and overlaid the ad‑bid range (converted from micros to Japanese Yen) as a commercial‑value signal. The resulting landscape reveals four clear quadrants.

High Demand, Low Competition – The Opportunity Zone

Keywords with avgMonthlySearches ≥ 500 and competitionIndex ≤ 30. This is the sweet spot. Surprisingly, it contains some of the highest‑volume terms in the run:

These keywords are the volume anchors. Their low competition suggests that few advertisers are explicitly targeting them with paid search, leaving organic content an even wider lane. For instance, “カスタマージャーニー” is a textbook “elephant in the room” – huge searcher intent, almost no one bidding on it. The likely reason: it is a broad conceptual term with ambiguous commercial intent, but that makes it perfect for top‑of‑funnel content marketing (data basis: avgMonthlySearches, competitionIndex, lowTopOfPageBid).

High Demand, High Competition – The Battlefield

This quadrant is nearly empty because competition is low across the board. Only “テレビ 広告 効果 測定” (20 searches, competitionIndex 68) and “デジタル 広告 効果 測定” (10 searches, competitionIndex 68) qualify, but their demand is actually small; they only appear here due to our arbitrary cutoff. In practice, there is no true “red ocean” for video‑ad‑related queries in Japanese search right now.

Low Demand, Low Competition – Long‑Tail Filler

This is the default for most keywords in the dataset: avgMonthlySearches < 100 and competitionIndex ≤ 30. While individually tiny, the collective search volume of this tail is substantial (sum of all keywords ≤ 100 is roughly 2,500 searches/month). Many of the high‑growth measurement terms live here (“交通 広告 効果 測定,” “web 広告 効果 測定,” etc.), so this quadrant is a nursery for tomorrow’s breakout winners.

Low Demand, High Competition – Avoid

These are keywords where even capturing all available clicks would hardly move the needle, yet competitors are already fighting over them. The prime example is “広告 計測” (ad measurement): only 20 searches/month but a competitionIndex of 67 and high bid range (¥4.73–¥17.25). This suggests that a few bidders are locked into a brand‑protection or agency‑client battle, making it a money‑losing proposition for anyone new (data basis: avgMonthlySearches=20, competitionIndex=67, bid range).

Bid Outliers

We flagged keywords where the high‑end bid (highTopOfPageBidMicros) is notably above the run’s typical range. Two stand out:

  • “リスティング 広告 効果 測定”: high bid ¥41.41. The term itself (“listing ad effectiveness measurement”) points directly to paid‑search professionals; the extreme bid suggests agencies or tools that target PPC managers are willing to pay a premium because the searcher is a high‑value lead for their own ad‑management services (data basis: highTopOfPageBidMicros=41,410,000).
  • “オーディエンスセグメント”: high bid ¥28.68. This is a B2B term likely purchased by vendors of audience segmentation tools, where a single conversion can justify such a cost.

These outliers are not aberrations but signals: they mark keywords where the downstream revenue per click is high, and they are worth monitoring even if the raw search volume is modest.

Semantic Clusters

Reading through the keyword text without imposing preset categories, five natural clusters emerged based on shared language components. Their relative attractiveness varies dramatically.

1. 効果測定 (Effectiveness Measurement)

Keywords: 26 terms covering traffic, web, OOH, YouTube, listing, TV, print, digital signage, and generic ad measurement. Representative: “交通 広告 効果 測定,” “web 広告 効果 測定,” “ooh 効果 測定,” “youtube 広告 効果 測定,” “リスティング 広告 効果 測定,” “広告効果測定,” “プロモーション 効果 測定,” “cm 効果 測定.” Combined volume: ~1,200 searches/month (summation of individual avgMonthlySearches). Average competition: Low (median competitionIndex = 21). Growth pattern: Dominantly upward. 15 of the 26 are in the “sustained rising” or “short‑lived spike” groups, with individual 3‑month growth rates exceeding +400%. Why it matters: This cluster is where the market pain point is most acute. Advertisers are demanding tools and knowledge to prove ROI, and the query language is strikingly specific to channel (transit, web, OOH). This suggests that content targeting each channel’s measurement will capture intent far better than a generic “ad measurement” page. Relative to other clusters, this one has the highest growth rate, the most actionable commercial intent (many bids exist), and the lowest competitive saturation given the surge – a textbook first‑mover green field (data basis: trendDirection3m, competitionIndex, bid presence).

2. エンゲージメント (Engagement)

Keywords: 28 terms revolving around viewer/customer engagement, including definitional queries (“顧客 エンゲージメント とは”), experiential (“エンゲージメント 顧客”), and action‑oriented (“顧客 エンゲージメント を 高める”). Representative: “顧客エンゲージメント,” “カスタマー エンゲージメント,” “視聴者エンゲージメント,” “youtube エンゲージメント 見方.” Combined volume: ~2,300 searches/month (the aggregate is higher because of head terms like “顧客エンゲージメント” at 590). Average competition: Very low (median competitionIndex = 2). Growth pattern: Mixed and largely flat. Some terms show recent bumps (“カスタマー エンゲージメント” +128.6% 3m), but many others are declining or flat (“顧客 エンゲージメント とは” –34.4% 3m). The overall cluster trend is one of maturation – the concept has been widely discussed for years, and interest is no longer expanding. Why it matters: This cluster retains high absolute volume, but it is not a growth story. It’s a defensive content play: you need to be present to be seen as credible, but you shouldn’t expect to ride a wave of new demand. The cluster is internally fragmented between definitional (low intent) and tactical (higher intent) queries; the tactical ones (“tools,” “case studies”) are the only segments worth active investment.

3. ブランド認知 (Brand Awareness)

Keywords: 8 terms, including “ブランド認知度向上,” “ブランド 認知 を 高める,” “ブランド 認知 向上.” Combined volume: ~400 searches/month. Average competition: Low (median competitionIndex = 7). Growth pattern: Spiky and short‑lived. For example, “ブランド認知度向上” saw a surge to 90 in May 2025, then collapsed to 10 by December 2025, and bounced again to 50 in March 2026. No sustained upward trajectory. Why it matters: Brand awareness is a perennial concern, but the search data says it’s not a problem people Google for repeatedly – it’s a topic of intermittent, shallow interest. This cluster is not a priority.

4. AI動画制作 (AI Video Creation)

Keywords: 12 terms directly about AI‑driven video production: “ai 動画 広告,” “AI動画編集,” “自動動画編集,” “動画広告制作,” “AI自動編集,” “コンテンツ自動生成,” etc. Combined volume: ~5,800 searches/month, heavily driven by “AI動画編集” (2,900) and “自動動画編集” (720). Average competition: Medium‑Low (median competitionIndex = 38). Growth pattern: Steady but not explosive. “AI動画編集” has grown from 2,400 to 3,600 over the last six months (+24.1% 3m, +50% 1y), a solid but manageable incline. The seed keyword “ai 動画 広告” itself has climbed +125% over one year but only +28.6% over 3 months, suggesting a deceleration. Why it matters: This is the cluster that the seed topic implies, yet it is not where the sharpest early‑stage growth resides. It is an established category with existing competitors and a moderate growth rate. It should be part of a long‑term content portfolio, but for immediate wins, the measurement cluster is far more attractive.

5. マーケティング戦術 (Marketing Tactics)

Keywords: Remaining terms covering broad tactics like “パフォーマンスマーケティング,” “リターゲティング,” “マルチチャネル,” “広告配信最適化,” etc. (about 26 keywords). Combined volume: ~4,000 searches/month. Average competition: Mixed; some are LOW, a few MEDIUM. Growth pattern: Disparate. “パフォーマンスマーケティング” is on a sustained rise (+100% 3m), while “マルチチャネルマーケティング” is declining (–40% 3m). Why it matters: This is a grab bag. The useful approach is to cherry‑pick the rising terms from this cluster and treat each on its own merits, rather than applying a cluster blanket.

Prioritized Opportunity List

We scored every keyword on a composite of growth (3‑month), competition (inverse), volume, and trend consistency, then selected the top 15 – roughly 15% of the dataset. Each entry is presented with the exact data that justifies its rank, and where signals conflict, we flag it.

  1. web 広告 効果 測定 (score 937) – 70 searches/mo, +450% 3m, competitionIndex 7. The combination of extreme growth and trivial competition makes this the single best keyword to target right now. The trend is sustained (6m +57.1%), and commercial intent is proven by a bid range of ¥3.61–¥8.20 (data basis: score, growth.3m, competitionIndex, bid).
  2. 交通 広告 効果 測定 (score 937) – 70 searches/mo, +450% 3m, competitionIndex 6. Nearly identical profile but for transit ads; bid range ¥2.60–¥5.49, slightly lower but still concrete. Note: 6‑month growth is 0, so the spike risk is real – we recommend entering now but monitoring for flattening (data basis: growth.6m=0).
  3. ooh 効果 測定 (score 884.7) – 170 searches/mo, +420% 3m, competitionIndex 8. Highest volume in the measurement cluster with a strong bid signal (¥4.01–¥6.82). The 6‑month decline (–18.7%) is a red flag, but the 3‑month surge is so large it likely reflects a step‑change in market behavior. Bet on it, but cap investment until 6‑month turns positive.
  4. youtube 広告 効果 測定 (score 732.3) – 40 searches/mo, +800% 3m (yes, 800%), competitionIndex 2. Volume is low, but the growth rate is astronomical, and competition is nonexistent. Ideal for a YouTube‑specific content pillar that can capture this emerging intent before it scales (data basis: growth.3m=800, competitionIndex=2).
  5. リスティング 広告 効果 測定 (score 626.4) – 20 searches/mo, +300% 3m & 6m, competitionIndex 7, high bid ¥41.41. The extreme bid signals that this keyword is already a battleground for paid search, but the organic space is still wide open. A high‑effort, definitive guide could capture clicks at zero cost (data basis: highTopOfPageBid=¥41.41).
  6. デジタルプロモーション (score 219.7) – 260 searches/mo, +129.4% 3m, competitionIndex 11. A broad, commercially intense term with a multiyear history of cyclical interest; the current uptick is part of a long‑term recovery, making it a safer bet (data basis: growth.1y=21.9%).
  7. 効果 測定 広告 (score 222.4) – 480 searches/mo, +51.3% 3m, competitionIndex 15. The highest‑volume measurement term with sustained growth and moderate competition. A keystone piece of content here can rank for the whole cluster (data basis: growth.6m=22.9).
  8. 広告効果測定 (score 222.4) – same metrics as above, essentially identical. Own both with one comprehensive page.
  9. パフォーマンスマーケティング (score 95.5) – 110 searches/mo, +100% 3m, competitionIndex 9. A tactics keyword on a clear upward trajectory after a long slump; good for a pillar page backed by case studies (data basis: growth.6m=27.3).
  10. AIパーソナライズ (score 91.7) – 170 searches/mo, +50% 3m, competitionIndex 9. Strong long‑term growth (+425% 2y) and decent current momentum. Ideal for an advanced‑tactics article on personalizing video ads with AI (data basis: growth.2y=425).
  11. 動画広告制作 (score 92.1) – 260 searches/mo, +129.4% 3m, competitionIndex 29. A service‑oriented keyword with aggressive bid range (up to ¥23.65). High intent, medium competition, and strong recent growth – a good candidate for a landing page with portfolio proof (data basis: highTopOfPageBid=¥23.65).
  12. リターゲティング (score 101.2) – 590 searches/mo, +22.9% 3m, competitionIndex 11. A classic always‑relevant term with decent volume and low competition. It’s not a breakout, but a reliable traffic source that many competitors overlook (data basis: competitionIndex=11).
  13. マルチチャネル (score 99.4) – 480 searches/mo, +51.3% 3m, competitionIndex 2. Extremely low competition for a term with solid commercial intent (bid up to ¥24.12). The volume has been flat for years, but the recent growth could signal a new trend worth catching early.
  14. クリック率 (score 103.3) – 880 searches/mo, +22.2% 3m, competitionIndex 4. A foundational metric term with high stable volume and near‑zero competition. While not a growth keyword, it can function as a traffic magnet for a broader site (data basis: avgMonthlySearches=880, competitionIndex=4).
  15. 自動動画編集 (score 101.2) – 720 searches/mo, +22% 3m, competitionIndex 42. The highest‑volume AI‑video term with steady, predictable growth. Competition is medium but manageable; this is a must‑have term for any brand in the AI video space (data basis: growth.1y=0, but recent acceleration).

Conflicts flagged

  • ooh 効果 測定 and 交通 広告 効果 測定 have high scores but negative or zero 6‑month growth. Should be verified with secondary trend data (e.g., Google Trends) before committing major budget.
  • youtube 広告 効果 測定’s +800% 3‑month growth is from a base of only 10 searches; the percentage is explosive but the absolute increment is still small. Worth targeting, but scale expectations appropriately.

Risks & Limitations

  1. Insufficient long‑term data: For 52 of the 100 keywords, the growth fields at 1‑year, 2‑year, and 3‑year are null, and the trendHistory covers only 12 months. This means we cannot distinguish secular trends from short‑term fluctuations with high confidence for more than half the dataset. Our “sustained rising” group is based on a 6‑month window, which is the best available but still limited (data basis: count of topics where growth.1y is null).
  1. Conflicting trend signals: At least 5 keywords have a positive 3‑month growth but a negative 6‑month growth, and an “up” trendDirection. For example, “ooh 効果 測定” is +420% over 3 months but –18.7% over 6 months. Another 3 keywords have negative 3‑month growth but positive 1‑month, indicating that a recent recovery may be underway but hasn’t yet pulled the 3‑month average positive. These conflicts demand extra caution: short‑term buzz can disguise long‑term decline (data basis: e.g., “コンバージョン最適化” growth.3m=100 but 6m=–71.4).
  1. Branded/trademark risks: One keyword, “google 広告 効果 測定,” explicitly includes a trademarked term (“Google”). Using it in ad copy or as a direct keyword target could run afoul of platform policies or trademark law. We advise stripping out brand names unless you are the trademark holder (data basis: keyword contains “google”).
  1. Null‑growth periods: Several keywords have null growth.1m or .2m values, meaning the most recent month or two of data is missing. This limits our ability to detect a very recent turn. For instance, “ブランディング 認知 向上” has a null 2‑month growth; we can’t see if the last 60 days brought a change (data basis: growth.2m=null).
  1. Geographic/language constraint: The run targeted Japanese‑language searches globally, with no geoTargetConstants. This means the data reflects interest from Japanese speakers worldwide, not just Japan‑based users. The commercial intent may be diluted for local businesses if a meaningful share of searches comes from overseas. Readers should apply local‑market testing before scaling (data basis: run.geoTargetConstants=[], locale=“ja”, marketKey=“global”).
  1. High‑score volatility: The composite score can be inflated by explosive short‑term growth. Keywords with scores > 800 all derive their score primarily from a 400%+ 3‑month change; if that growth flatlines, their score will plummet. Treat any keyword above 700 as a “high‑reward, high‑risk” entry.

Action Recommendations

The overarching story is: the Japanese market for AI‑video‑ad‑related search is in a measurement‑focused awakening, while broader awareness and engagement topics have cooled. The opportunity is to position your brand as the authority on “how to measure” before the competition realizes the door is open. The risk is mistaking temporary spikes for permanent trends and over‑investing in buzzwords that will revert. Here’s how to translate this directly into business decisions.

Content Team – Immediate Publication Priorities

  • Build a “Measurement Hub” page covering “広告効果測定” (ad effectiveness measurement). This single page will anchor an entire cluster. Within it, create sub‑pages for each channel: “web 広告 効果 測定,” “交通 広告 効果 測定,” “ooh 効果 測定,” “youtube 広告 効果 測定.” The data shows these channel‑specific terms are the ones skyrocketing; generic content won’t capture that intent. (Evidence: 15 measurement terms with 3‑month growth >100% and competitionIndex ≤31).
  • Publish a definitive guide for “リスティング 広告 効果 測定” – the keyword with the ¥41.41 bid. The extreme bid means that a well‑optimized organic page can intercept extremely valuable clicks that agencies are currently paying through the nose for. Even a small slice of that traffic is worth far more than a generic awareness term.
  • Refresh your existing “カスタマージャーニー” (customer journey) content for 2026. This keyword has 14,800 monthly searches and almost zero competition; it’s the largest open‑goal opportunity in the dataset. Since it’s not growing, you don’t need to chase it month‑by‑month, but a once‑a‑year overhaul can keep you atop the rankings and harvest a steady stream of high‑volume, low‑cost traffic.

Product / Service Development – What to Source or Build

  • If you sell advertising tools or services, develop features specifically for cross‑channel measurement and use the keyword demand to name them. “交通 広告 効果 測定” and “ooh 効果 測定” signal that buyers now want to measure channels they previously couldn’t. A tool that offers “OOH効果測定ダッシュボード” (OOH effectiveness dashboard) would be solving a newly articulated, fast‑growing need.
  • If you are a video production house, emphasize “動画広告制作” (video ad production) and “AI動画編集” (AI video editing). Both show sustained, moderate‑speed growth and commercial intent (bid up to ¥23.65). Build dedicated landing pages with case studies that use the exact keyword phrasing.
  • For agencies, the “パフォーマンスマーケティング” (performance marketing) keyword is climbing and low‑competition – it’s the perfect entry point for a service page that moves visitors from “what is performance marketing” to “book a consultation.”

Ad Spend Allocation – Where to Bid, Where to Pull Back

  • Bid on your own brand + measurement keywords. The data shows that most measurement terms have low competition indices (6‑21), meaning ad slots are available at reasonable cost. For “web 広告 効果 測定,” a top‑of‑page bid of only ¥3.61–¥8.20 can capture a fast‑growing audience. Test a small, tightly themed campaign around the top 5 measurement keywords.
  • Avoid bidding on over‑competed, stagnant terms. “デジタル 広告 効果 測定” has a competitionIndex of 68 but only 10 searches/month. The cost‑per‑click is likely high relative to the negligible volume. Similarly, “広告 計測” (competition 67, 20 searches) is a money trap.
  • Use season‑independent budgets. Because we found no consistent seasonal pattern, don’t lock all your ad spend into quarterly seasonal logic. Instead, monitor the 6‑month growth trajectory of your target keywords; if any measurement term’s 6‑month growth flips from positive to flat, reduce spend – it may be a spike that has run its course.

Immediate Verification Actions

  • Cross‑reference the top 5 measurement keywords in Google Trends (Japanese, past 12 months) to confirm the growth shape. If the Trends line matches the sustained rising curve seen here, proceed confidently.
  • Run a small 2‑week test campaign on “web 広告 効果 測定” and “ooh 効果 測定” to measure actual CPC and conversion rates. Our data suggests low competition, but real‑world auction dynamics can differ.
  • For “youtube 広告 効果 測定,” create a video optimized for that exact query and upload it to YouTube. The query likely originates from within the platform itself; a video answer could dominate without needing traditional SEO.

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マイニング実行の詳細
確認する結果