{"id":42043,"date":"2026-07-14T12:12:30","date_gmt":"2026-07-14T12:12:30","guid":{"rendered":"https:\/\/adspyder.io\/blog\/?p=42043"},"modified":"2026-07-14T12:12:30","modified_gmt":"2026-07-14T12:12:30","slug":"most-competitive-keywords-by-industry","status":"publish","type":"post","link":"https:\/\/adspyder.io\/blog\/most-competitive-keywords-by-industry\/","title":{"rendered":"The Keywords Every Industry Is Bidding On: AdSpyder’s Cross-Industry Keyword Intelligence"},"content":{"rendered":"
\n
AdSpyder Original<\/div>\n
\n

Quick answer:<\/strong> The most competitive keywords by industry<\/strong> depend on how you define competition. In AdSpyder’s July 2026 dataset, marketing terms had the widest advertiser participation, while legal and personal-injury terms had the highest enriched CPC values. You can investigate the domains behind these patterns with AdSpyder URL Domain Analysis<\/a>.<\/p>\n<\/div>\n

A keyword with many advertisers is crowded. A keyword with a high CPC is expensive. A keyword with both can consume budget quickly\u2014but those are three different signals, and treating them as one is how PPC teams misread competition.<\/p>\n

This analysis separates advertiser density, CPC, and search volume using 139,355 keyword-suggestion rows<\/strong> researched inside AdSpyder projects. The result is a practical view of where bidding pressure appears\u2014and where the dataset requires caution.<\/p>\n

\n

Table of contents<\/p>\n

Key findings<\/a>
\nAdvertiser density<\/a>
\nIndustry table<\/a>
\nPatterns<\/a>
\nAdSpyder workflow<\/a>
\nMethodology<\/a>
\nFAQ<\/a><\/div>\n<\/div>\n

The Cross-Industry Keyword Picture in Five Numbers<\/h2>\n
\n
\n
139,355<\/div>\n

Keyword-suggestion rows<\/p>\n<\/div>\n

\n
109,808<\/div>\n

Distinct keywords<\/p>\n<\/div>\n

\n
2,948<\/div>\n

Advertiser domains<\/p>\n<\/div>\n

\n
159<\/div>\n

Countries represented<\/p>\n<\/div>\n

\n
158<\/div>\n

Domains tracking \u201cdigital marketing\u201d<\/p>\n<\/div>\n<\/div>\n

Source: AdSpyder platform data, July 2026.<\/p>\n

\n

The main finding:<\/strong> \u201cDigital marketing\u201d was the most widely tracked clean keyword, appearing across 158 advertiser domains. But \u201cattorney personal injury near me\u201d produced the highest enriched CPC at $90.91. Density and cost identify different competitive problems.<\/p>\n<\/div>\n

\n

See which keywords your competitors keep returning to<\/h2>\n

Start with a domain, identify repeated keyword themes, then validate the ads and landing pages behind them.<\/p>\n

Analyze a Competitor Domain<\/a><\/p>\n<\/div>\n

Most Contested Keywords by Advertiser Density<\/h2>\n

For this analysis, a contested keyword is one tracked by at least 15 distinct advertiser domains. The table below uses clean keyword strings and ranks them by advertiser participation\u2014not CPC.<\/p>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Keyword<\/th>\nAdvertiser domains<\/th>\nAvg. CPC<\/th>\nSearch volume<\/th>\n<\/tr>\n<\/thead>\n
digital marketing<\/td>\n158<\/td>\n$1.33<\/td>\n27,100<\/td>\n<\/tr>\n
digital marketing services<\/td>\n113<\/td>\n$2.37<\/td>\n170<\/td>\n<\/tr>\n
digital marketing agency<\/td>\n107<\/td>\n$18.26<\/td>\n6,600<\/td>\n<\/tr>\n
social media marketing<\/td>\n82<\/td>\n$9.85<\/td>\n5,400<\/td>\n<\/tr>\n
online marketing<\/td>\n79<\/td>\n$21.51<\/td>\n12,100<\/td>\n<\/tr>\n
social media<\/td>\n67<\/td>\n$8.49<\/td>\n110,000<\/td>\n<\/tr>\n
marketing agency<\/td>\n66<\/td>\n$3.06<\/td>\n1,600<\/td>\n<\/tr>\n
domain name<\/td>\n47<\/td>\n$2.35<\/td>\n720<\/td>\n<\/tr>\n
web design<\/td>\n44<\/td>\n$1.18<\/td>\n5,400<\/td>\n<\/tr>\n
search engine marketing<\/td>\n33<\/td>\n$2.24<\/td>\n60,500<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

Advertiser counts: AdSpyder platform data, July 2026. CPC and search volume are third-party keyword-data enrichments available inside AdSpyder.<\/p>\n

\n

What this table really says:<\/strong> Agency and marketing terms dominate because AdSpyder’s tracked-project dataset is agency-heavy. This is a real user-research signal, but it is not proof that these are the most contested keywords in every country or every ad account.<\/p>\n<\/div>\n

Industry keyword intelligence: Density, Price, and Demand<\/h2>\n

The useful question is not \u201cWhich keyword has the biggest number?\u201d It is \u201cWhich competitive pressure matters for this campaign?\u201d This table highlights the strongest clean signals available for each represented segment.<\/p>\n

\n\n\n\n\n\n\n\n\n\n\n\n
Industry signal<\/th>\nKeyword<\/th>\nDomains<\/th>\nAvg. CPC<\/th>\nVolume<\/th>\nWhat it signals<\/th>\n<\/tr>\n<\/thead>\n
Marketing\/Agency<\/td>\ndigital marketing<\/td>\n158<\/td>\n$1.33<\/td>\n27,100<\/td>\nWidest advertiser participation<\/td>\n<\/tr>\n
Legal<\/td>\nattorney personal injury near me<\/td>\n3<\/td>\n$90.91<\/td>\n274,867<\/td>\nHighest enriched click-price pressure<\/td>\n<\/tr>\n
Online Gambling<\/td>\nbest online casino online<\/td>\n6<\/td>\n$86.23<\/td>\n5,400<\/td>\nHigh cost with regulatory constraints<\/td>\n<\/tr>\n
SaaS\/CRM<\/td>\ncrm software<\/td>\n5<\/td>\n$35.12<\/td>\n74,000<\/td>\nCommercial comparison demand<\/td>\n<\/tr>\n
SEO Services<\/td>\nseo services<\/td>\n9<\/td>\n$34.02<\/td>\n60,500<\/td>\nDirect service-purchase intent<\/td>\n<\/tr>\n
Education<\/td>\nonline university<\/td>\n3<\/td>\n$43.48<\/td>\n27,100<\/td>\nHigh-value enrolment economics<\/td>\n<\/tr>\n
Web Services<\/td>\nweb design<\/td>\n44<\/td>\n$1.18<\/td>\n5,400<\/td>\nBroad supplier competition at lower CPC<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

Industry groupings were manually inferred from keyword text because the source table does not contain a structured industry field.<\/p>\n

Four Patterns PPC Teams Should Act on<\/h2>\n

1. High advertiser density does not automatically mean high CPC<\/h3>\n

\u201cDigital marketing\u201d had 158 advertiser domains but a $1.33 enriched average CPC. \u201cAttorney personal injury near me\u201d had only three represented domains in this dataset but a $90.91 CPC. One reflects broad participation; the other reflects expensive auction economics.<\/p>\n

2. Non-branded commercial terms dominate competitive research<\/h3>\n

Most clean high-density keywords were service or category descriptors rather than brand names. That indicates AdSpyder users primarily research demand-capture terms such as agency, software, services and \u201cnear me\u201d queries.<\/p>\n

3. Buyer intent appears more often than informational intent<\/h3>\n

The strongest examples point toward action: \u201ccrm software,\u201d \u201cseo services,\u201d and personal-injury queries with local intent. Informational \u201chow to\u201d terms are less visible because this is a campaign-research dataset, not a content-keyword census.<\/p>\n

4. Shared modifiers reveal cross-industry auction pressure<\/h3>\n

Terms such as \u201cagency,\u201d \u201cadvertising,\u201d \u201cCRM,\u201d \u201cSEO\u201d and \u201cdomain\u201d cross category boundaries. When you research only your exact product term, you miss adjacent competitors bidding on the same commercial intent.<\/p>\n

\n

Practical rule:<\/strong> Prioritize keywords where intent, economics and competitive proof align. A high-volume term without relevant competitor ads is weaker evidence than a smaller term repeatedly used by direct competitors with matching landing pages.<\/p>\n<\/div>\n

How to turn Industry Keyword data into a PPC decision<\/h2>\n

Lists give you ideas. Competitor evidence tells you whether those ideas deserve budget.<\/p>\n

\n
1<\/div>\n
\n

Start with comparable domains<\/h3>\n

Choose competitors selling to the same buyer, geography and price band. Use URL Domain Analysis<\/a> to inspect their cross-platform activity and keyword themes.<\/p>\n<\/div>\n<\/div>\n

\n
2<\/div>\n
\n

Build a density shortlist<\/h3>\n

Record keywords repeated across several direct competitors. Then use the Google Ads Spy<\/a> to examine the messages advertisers attach to those terms.<\/p>\n<\/div>\n<\/div>\n

\n
3<\/div>\n
\n

Add CPC, volume and intent<\/h3>\n

Use CPC as an economics signal, volume as a demand signal and the wording itself as an intent signal. Do not promote a keyword merely because one metric is large.<\/p>\n<\/div>\n<\/div>\n

\n
4<\/div>\n
\n

Validate the conversion path<\/h3>\n

Use Landing Page Analysis<\/a> to check whether competitors send that traffic to a category page, lead form, pricing page or comparison page. The destination often reveals the real intent better than the keyword alone.<\/p>\n<\/div>\n<\/div>\n

Keyword Selection Checklist<\/h3>\n
\n

\u2610 The keyword matches a revenue-producing offer.<\/p>\n

\u2610 At least two relevant competitors show evidence around the same theme.<\/p>\n

\u2610 CPC fits your conversion rate, margin, and acceptable acquisition cost.<\/p>\n

\u2610 The search intent matches the page you plan to use.<\/p>\n

\u2610 Negative keywords are ready before launch.<\/p>\n<\/div>\n

Methodology and Limitations<\/h2>\n