How to Avoid Overlap Between Match Types in Google Ads (Step-by-Step)

TL;DR: Match type overlap happens when broad, phrase, and exact match keywords compete against each other for the same search queries within your account. The result: internal auction competition, inflated CPCs, and attribution data you can't trust. This guide walks you through six concrete steps to find it, fix it, and keep it from coming back.

If you've ever noticed your exact match keywords barely getting impressions while your broad match campaigns burn through budget, or if you've seen the same search query showing up under two different keywords in your Search Terms Report, you're dealing with match type overlap. It's one of the most common structural problems in Google Ads accounts, and it tends to get worse the faster you scale.

The issue isn't that using multiple match types is wrong. It's that using them without a clear routing strategy creates internal competition. Your campaigns end up bidding against themselves, quality scores get diluted across duplicated terms, and you lose the ability to optimize confidently because you're never sure which keyword is actually driving results.

The good news: once you know what to look for, diagnosing and fixing overlap is methodical work. This guide covers the full process, from understanding what overlap actually looks like in your account, to auditing your keyword list, building a match type strategy, using negative keywords to enforce traffic routing, restructuring ad groups when needed, and setting up a monitoring habit that keeps things clean going forward.

Whether you're a freelancer managing a handful of accounts or an agency running dozens of campaigns, these steps will give you a tighter, more predictable keyword structure and put you back in control of where your budget goes.

Step 1: Understand What Match Type Overlap Actually Looks Like

Overlap happens when multiple keywords in your account are eligible to trigger the same search query. The most obvious version is having "running shoes" as broad match, phrase match, and exact match all living in the same ad group. But overlap also happens across ad groups and campaigns, which is harder to catch and often more damaging.

Here's how Google's matching logic works in practice: when a search query is identical to an exact match keyword, Google generally prefers that keyword. But "generally" is doing a lot of work in that sentence. If your exact match keyword has a lower bid or a weaker quality score than your phrase match version of the same term, the phrase match can win the auction instead. There's no hard guarantee that exact match always gets priority, which means overlap creates real unpredictability. Understanding how match types affect quality score is essential context for why this matters so much.

Consider a search for "buy running shoes online." That query could legitimately trigger:

Broad match "running shoes": Google's broad match has expanded significantly to include semantically related terms and implied intent, so this is a realistic match.

Phrase match "running shoes": The phrase is contained within the query, so phrase match is eligible.

Exact match "buy running shoes online": If you happen to have this as an exact match keyword, it's also in the running.

When all three are in your account without negative keywords separating them, Google decides which one triggers based on ad rank. You're not in control of that decision, and the result is internal competition that drives up your own CPCs.

Cross-campaign overlap is the version most people miss. In most accounts I audit, the problem isn't just within a single ad group, it's two campaigns targeting the same geography and audience, both containing overlapping keywords in different match types, with no negatives to separate them. That's where budget waste compounds quietly over time. For a focused look at this specific problem, managing keyword overlap between campaigns goes deeper on the cross-campaign dimension.

The other consequence worth naming: messy attribution. When the same query gets matched to different keywords across different sessions, your conversion data splits across those keywords. You end up with multiple keywords each looking "okay" when really you need to understand the full picture of what's working.

Step 2: Audit Your Keyword List for Duplicate and Overlapping Terms

Before you fix anything, you need to see the full picture. Start by exporting your keyword list from Google Ads. You can do this at the campaign level or pull everything at once from the Keywords tab using the download button. If you're working in a spreadsheet, sort alphabetically first, then by match type. This surfaces obvious duplicates quickly.

There are three overlap patterns to look for:

Pattern 1: Same keyword, multiple match types, same ad group. This is the most straightforward. If you see "running shoes" as both phrase and exact in the same ad group, that's a direct conflict. One of them needs to go, or you need negatives to separate them.

Pattern 2: Same keyword, different ad groups, same campaign. This happens when ad groups are built around themes but the keywords within them overlap. A "men's running shoes" ad group and a "running shoes" ad group in the same campaign can compete if the match types aren't tightly controlled.

Pattern 3: Same keyword, different campaigns, same audience and geography. This is the hardest to catch and the most expensive. Two campaigns targeting the same location and audience, both bidding on overlapping terms, will compete against each other in every auction.

After reviewing the keyword list, pull the Search Terms Report. This is where you see real-world overlap: the actual queries that triggered your ads, and which keyword they matched to. Filter for your top-spending keywords and look for the same query appearing under multiple keywords. That's your overlap in action. Learning how to optimize match types using the Search Terms Report will make this audit significantly faster.

Pay special attention to high-spend keywords. If your top five spenders have overlap, fixing those alone can have a meaningful budget impact. Flag any keyword that appears in more than one match type targeting the same or overlapping audience, and note which campaign it's in.

If you're using Keywordme, you can do this entire workflow directly inside the Google Ads Search Terms Report without exporting anything. The in-interface view lets you spot which queries are matching to which keywords and take action immediately, which is significantly faster than the spreadsheet route, especially across multiple accounts.

Step 3: Decide on a Match Type Strategy Before Fixing Anything

Here's where most people go wrong: they start deleting or pausing keywords before they've decided on a structure. Then they create new overlap trying to fix the old overlap. Before touching anything, define which match type "owns" each tier of traffic in your account.

There are three common structural approaches, and the right one depends on your account size, budget, and how much discovery vs. control you need.

Approach A: Exact match only (SKAGs or tight ad groups). Every keyword is exact match. You have full control over what triggers your ads. The downside is you miss queries you haven't explicitly added. This works well for smaller budgets or mature accounts where you've already identified your high-performers.

Approach B: Tiered campaign structure. This is the approach most experienced PPC practitioners use. A broad match campaign runs at lower bids to discover new queries. When a search term performs well, you add it as an exact match keyword in a separate campaign with higher bids. Negative keywords prevent the broad campaign from stealing those queries once they've been promoted. It's a funnel: broad match feeds discovery, exact match captures proven winners. This is essentially using match types in a keyword funnel, which is the most scalable approach for growing accounts.

Approach C: Phrase + exact hybrid, broad isolated or excluded. Phrase match handles mid-funnel traffic, exact match handles high-intent queries, and broad match is either used sparingly with tight negatives or excluded entirely. This is a reasonable middle ground for accounts that want some discovery without the unpredictability of unconstrained broad match.

The tiered approach is worth understanding in more detail because it's the most scalable. The logic is: you don't know every query your customers use, so you need a discovery mechanism. Broad match provides that. But you don't want broad match competing with your proven exact match terms, so you use negatives to enforce a clean handoff between the two campaigns. Every query has a designated home based on whether it's been validated or not.

Choose your approach before you start restructuring. It'll determine which keywords to pause, which to promote, and where your negatives need to go. For a deeper look at how match type choice affects CPC and conversion rates, this breakdown on match type impact is worth reading alongside this guide.

Step 4: Use Negative Keywords to Route Traffic Correctly

Negative keywords are your primary tool for preventing overlap. They're how you tell Google which campaign or ad group should not match a given query, which effectively routes traffic to the right place.

The core mechanic is straightforward: if you want Campaign B's exact match keyword to own a specific query, add that query as a negative in Campaign A so Campaign A can't compete for it. For example, if [running shoes] lives as an exact match in your conversion-focused Campaign B, add [running shoes] as an exact match negative in your broad match Campaign A. Campaign A can still discover related queries, but it won't compete for that specific one.

A common mistake here is using the wrong negative match type. If you add "running shoes" as a broad match negative in your discovery campaign, you'll block a much wider range of queries than intended, including ones you might actually want that campaign to find. Use exact match negatives for routing specific queries, and phrase match negatives when you want to block any query containing a specific phrase in order. Understanding how phrase match negatives differ from exact match negatives is critical to getting this right.

Here's the workflow for each instance of overlap you identify:

1. Identify the overlapping query in the Search Terms Report.

2. Determine which keyword and campaign should own that query based on your match type strategy.

3. Add the query as a negative (in the appropriate match type) to every other campaign or ad group that shouldn't be matching it.

4. Verify in the following week's Search Terms Report that the query is now only appearing under the intended keyword.

On the negative list structure: shared negative lists handle terms that should be excluded account-wide, like irrelevant industries or brand exclusions. Campaign-specific negatives handle routing logic between your own campaigns. Keep these separate so your routing negatives don't accidentally block traffic in campaigns where that query is actually welcome.

If you're managing multiple campaigns, the volume of negatives you need to add can get significant fast. Keywordme's one-click negative adding directly in the Search Terms Report cuts this down considerably. Instead of noting the query, switching to the negative keywords tab, finding the right campaign, and adding it manually, you can flag and add negatives without leaving the report. For agencies doing this across multiple accounts weekly, that time difference adds up.

For a full walkthrough of the negative keyword process, this guide on adding negative keywords covers the mechanics in detail.

Step 5: Restructure Ad Groups to Separate Match Types Cleanly

If overlap is scattered across a few keywords, negative keywords alone can fix it. But if the problem is systemic, meaning your entire account was built without a routing strategy, you'll need to restructure.

There are two main restructuring options:

Option A: Separate ad groups by match type within the same campaign. One ad group contains your broad match keywords, one contains phrase match, one contains exact match. Each ad group has its own ads and negatives. This keeps everything in one campaign, which simplifies budget management, but requires tight negative keyword discipline between ad groups. For a detailed look at how to execute this, combining match types in ad groups covers the mechanics and tradeoffs.

Option B: Separate campaigns by match type. Your broad match keywords live in one campaign, exact match in another. This gives you independent budget control and cleaner bidding, since exact match terms typically warrant higher bids due to more precise intent. Most experienced account managers prefer this approach for accounts with meaningful spend.

When restructuring, pause rather than delete the overlapping keywords in the wrong ad groups. Deleting removes your historical quality score data and makes it harder to reference what you had. Pausing preserves the history while removing the keyword from active competition.

After pausing, create the new ad groups or campaigns with the correct structure, add the keywords with the right match types, set bids that reflect intent level (exact match typically bids higher because the user intent is more specific), and add the appropriate negatives to enforce routing.

When you're applying match types to keywords during a restructure, Keywordme lets you do this directly in the interface without exporting and reimporting keyword lists. You can apply match types and build keyword groups from within the Search Terms Report, which is especially useful when you're promoting high-performing search terms to exact match as part of a tiered structure.

For guidance on the broader campaign architecture decisions here, this article on campaign and ad group structure is a good companion read.

Step 6: Monitor the Search Terms Report Weekly to Catch New Overlap

Fixing overlap once isn't enough. Google's broad match behavior evolves, new keywords you add can create new overlap, and as your campaigns grow, the surface area for conflict grows with them. Weekly Search Terms Report reviews are how you stay ahead of it.

Set this as a recurring task. The review doesn't need to take long once you know what to look for. You're scanning for two things: queries appearing under multiple keywords from different match types or campaigns (overlap in action), and broad match expansions that are pulling queries away from your exact match terms. Building a habit of refining match types over time is what separates accounts that stay clean from those that drift back into overlap.

Red flags to watch for:

Same query, multiple keywords: If a search term shows up attributed to both a broad match keyword in Campaign A and a phrase match keyword in Campaign B, you have active overlap that needs a negative.

Exact match terms with low impression share: If your exact match keywords are getting fewer impressions than expected, check whether a broad or phrase match variant is capturing those queries instead. This is a common symptom of unresolved overlap.

Unexpected broad match expansions: Google's broad match will sometimes match to queries that seem loosely related at best. When you see this happening on queries your exact match should own, add the exact query as a negative in the broad campaign.

The Search Terms Report is also where you build a tighter account over time. High-intent queries that are performing well under broad match are candidates for promotion to exact match in your conversion-focused campaign. This is the tiered structure working as intended: discovery feeds your exact match list, negatives keep the routing clean.

Track a few metrics week-over-week to verify your overlap fixes are working: impression share by match type, CPC trends on your top keywords, and conversion attribution. If your exact match CPCs are dropping and impression share is rising after adding negatives, that's the fix working. Keywordme's in-interface workflow makes the weekly review faster since you can filter, flag, and act on search terms without switching between tabs or tools.

Putting It All Together: Your Match Type Overlap Checklist

Here's the full process condensed into a working checklist you can run through on any account:

1. Identify overlap patterns in your keyword list. Sort by keyword and match type. Look for the same term appearing in multiple match types across the same ad group, different ad groups, or different campaigns targeting the same audience.

2. Pull the Search Terms Report to see real-world query collisions. Find queries triggering multiple keywords. Flag the ones where the wrong keyword is winning.

3. Define your match type strategy and traffic routing logic. Decide which match type owns each query tier before making any changes. Choose between exact-only, tiered campaigns, or phrase/exact hybrid based on your account's needs.

4. Add negative keywords to enforce routing. For every overlap instance, add the query as a negative (in the right match type) to the campaigns that shouldn't be matching it. Keep routing negatives campaign-specific, not in shared lists.

5. Restructure ad groups or campaigns if overlap is systemic. Pause overlapping keywords, build the right structure, and move keywords to their correct homes. Update bids to reflect intent level by match type.

6. Set a weekly Search Terms Report review as a recurring task. Catch new overlap early, promote high-performing queries to exact match, and keep your routing logic clean as the account evolves.

The core principle behind all of this: every search query should have one clear owner in your account. When that's true, your data is clean, your bids are efficient, and your optimization decisions are based on reality rather than noise.

Steps 2, 4, and 6 are where most of the ongoing work lives, and they're also where Keywordme saves the most time. The entire Search Terms Report workflow, spotting overlap, adding negatives, promoting terms to exact match, happens directly inside Google Ads without spreadsheets or tab-switching. If you're managing multiple accounts or just want to move faster, start your free 7-day trial and see how much faster the weekly review gets when everything is one click away.

Clean match type structure means more predictable spend, better quality scores, and data you can actually act on. Start with the audit today. It's the fastest way to see where overlap is costing you money right now.

For related reading: when to use broad match vs. exact match, why negative keywords matter, and how to reduce wasted spend in Google Ads.