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The Complete Google Ads Keyword Strategy Deep-Dive

Match Types, Negative Keywords & AI-Era Targeting

20 min readUpdated January 2026

Keyword strategy is where most advertisers make critical mistakes. From using the wrong match types to ignoring negative keywords, these errors can waste 30-70% of your budget on irrelevant clicks.

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1The Match Type Masterclass

Understanding the Three Match Types

Match types control who sees your ads. Get them wrong and you waste significant budget on irrelevant clicks.

Match TypeSyntaxWhat It MatchesControl LevelBest For
Exact[keyword]Only that specific phrase (+ close variants)HighestNew accounts, B2B, tight budgets
Phrase"keyword"Contains phrase in order (+ variants)MediumMost campaigns
BroadkeywordRelated searches, synonyms, intent signalsLowestMature accounts with data

Match Type Examples in Action

Keyword: "running shoes"

Match TypeWill MatchWon't Match
[running shoes]running shoes, running shoebest running shoes, buy running shoes
"running shoes"best running shoes, running shoes for menshoes for running, running gear
running shoesathletic footwear, jogging sneakers, marathon trainers(almost anything related)

The Match Type Evolution Warning

Critical Understanding: Google has expanded all match types over time. What you think you're getting is NOT what you actually get.

What You ThinkWhat It Actually Does
Exact match = only this keywordClose variants + same meaning + similar intent
Phrase match = contains phraseMuch broader than old phrase match
Broad match = related termsVERY broad—AI-powered matching across intent

The Default Match Type Problem

Critical Warning: When you add keywords without special formatting (no brackets or quotes), they become broad match automatically.

Example Problem:

Keyword: digital marketing services

Triggered searches: "digital marketing jobs," "free digital marketing course," "digital marketing salary"

None of these searchers are potential customers, yet all consume your budget.

2When to Use Each Match Type

When to Use EXACT Match [keyword]

Scenario 1: New Google Ads Accounts (<100 conversions)

  • Limited data for algorithm learning
  • Need tight control to gather clean conversion data
  • Can't afford to waste budget on exploration

Scenario 2: High-Intent, High-Value Keywords

  • Keywords with proven high conversion rates
  • Expensive keywords where precision matters
  • Bottom-of-funnel purchase intent terms

Scenario 3: Limited Budgets

  • Every click must count
  • Can't afford algorithm exploration
  • Need predictable cost per click

Scenario 4: B2B with Specific Terminology

  • Technical terms that shouldn't expand
  • Industry jargon with precise meaning
  • Audiences that use exact terminology

When to Use PHRASE Match "keyword"

  • Core campaign strategy: Best balance of reach and control
  • After validating with exact: Expand proven performers
  • Service-based keywords: "[service] near me" variations

When to Use BROAD Match keyword

  • Mature accounts: 100+ monthly conversions
  • Strong conversion tracking: Algorithm has reliable signals
  • Discovery mode: Finding new keyword opportunities
  • With smart bidding: Algorithm can optimize bids by query

Recommended Starting Mix

Account StageExactPhraseBroad
New (0-50 conversions/mo)50%50%0%
Growing (50-100 conversions/mo)30%60%10%
Mature (100+ conversions/mo)20%50%30%

3Negative Keyword Systems

Why Negatives Are Critical

Without negative keywords, you're paying for irrelevant clicks. This wastes 30-70% of budget in accounts without proper negative keyword management.

Universal Negatives (Add to Every Account)

CategoryKeywords to Add
Free seekersfree, cheap, discount, coupon (unless you offer these)
Job seekersjobs, careers, hiring, employment, salary, pay, resume
DIY intenthow to, tutorial, DIY, course, learn, training
Information seekersreddit, quora, forum, review, comparison
Downloadsdownload, pdf, template (unless you offer these)

Industry-Specific Negatives

  • B2B: personal, home, consumer, small
  • Premium brands: cheap, budget, discount, wholesale
  • Local services: Cities/regions you don't serve
  • Service businesses: DIY, how to fix, repair myself

Negative Keyword Process

Weekly Review (15 minutes)

  1. Go to Keywords → Search Terms
  2. Sort by cost (highest first)
  3. Review each query for relevance
  4. Add irrelevant queries as negatives

Monthly Deep Dive (1 hour)

  1. Export full search terms report
  2. Sort by impressions and clicks
  3. Identify patterns in irrelevant queries
  4. Add root negative keywords (not just specific queries)

Negative Match Types

TypeBlocksUse For
Negative ExactOnly that exact phraseSpecific terms to block precisely
Negative PhraseSearches containing phraseMost negative keywords
Negative BroadSearches containing all wordsBroad patterns to block

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4The Exact Match Strategy That Doubles Results

When Exact Match Outperforms Everything

For certain business types, an exact-match-heavy strategy can double results by eliminating wasted spend entirely.

Business Types Where Exact Match Dominates

  • B2B with technical products: Buyers use specific terminology
  • High-ticket services: Specific search intent matters
  • Niche markets: Limited keyword universe anyway
  • Compliance-heavy industries: Can't afford irrelevant matching

The Exact Match Scaling Process

Phase 1: Core Terms (Week 1-4)

  1. Identify your 20-50 highest-intent keywords
  2. Add all as exact match only
  3. Run for 2-4 weeks to gather data
  4. Identify which convert profitably

Phase 2: Expand Winners (Week 5-8)

  1. Take top 10 performing exact match keywords
  2. Create phrase match versions
  3. Monitor search terms closely
  4. Add negatives aggressively

Phase 3: Controlled Broad (Week 9+)

  1. Only after 100+ monthly conversions
  2. Add broad match for top 5 performers only
  3. Set up automated alerts for CPA spikes
  4. Review search terms daily initially

Expected Results

MetricBroad-Heavy AccountExact-Heavy Account
Impression volumeHighLower
Click volumeHighLower
Conversion rate2-5%8-15%
Cost per conversionHigher30-50% lower
Wasted spend30-70%5-10%

5Keywords in the AI Automation Era

The Changing Role of Keywords

As AI takes over more targeting decisions, keywords are becoming less important for reach but more important for control.

What's Changed

Traditional RoleAI-Era Role
Keywords define reachAI expands reach beyond keywords
Match types control precisionAll match types are broader
Keywords are the strategyKeywords are one input among many

What Still Matters

  • Negative keywords: Still essential for blocking irrelevant traffic
  • Seed keywords: Give AI a starting point
  • Brand keywords: Protect your brand terms
  • High-intent exact match: Capture bottom-funnel searchers

What to Focus On Instead

  • Conversion tracking accuracy: AI optimizes for what you track
  • Creative quality: Determines targeting in PMax, Demand Gen
  • Landing page experience: Affects Quality Score and conversions
  • Audience signals: Customer lists, website visitors

The Hybrid Approach

For most advertisers, the best strategy combines:

  • Exact match Search campaigns: High-intent bottom funnel
  • Performance Max: AI-driven expansion
  • Strong negative keyword lists: Applied across everything
  • Brand campaigns: Protected brand terms

Key Takeaways

Without match type formatting, all keywords become broad match automatically

Google has expanded all match types—exact match is broader than it used to be

Start new accounts with 50% exact, 50% phrase—add broad only after 100+ conversions

Negative keywords prevent 30-70% of wasted spend when properly maintained

Add universal negatives immediately: free, jobs, DIY, how to, reddit, quora

Review search terms weekly and add negatives—this is non-negotiable maintenance

For B2B and niche markets, exact-match-heavy strategies can double ROI

In the AI era, focus more on conversion tracking and creative—keywords are one input among many

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Frequently Asked Questions

Only after you have 100+ monthly conversions and strong conversion tracking. Broad match with smart bidding can find valuable traffic, but without sufficient data, the algorithm is essentially guessing. Start with exact and phrase match to build conversion history first.