What's the Difference Between Broad Match Modifier and Phrase Match? A Complete Guide
Broad match modifier (BMM) was discontinued by Google in July 2021 and merged into phrase match, meaning any +keyword syntax now functions identically to phrase match. This guide clarifies what's the difference between broad match modifier and phrase match by explaining how modern phrase match inherited BMM's intent-based matching capabilities while offering improved flexibility around word order, helping advertisers adapt their keyword strategies for today's Google Ads landscape.
TL;DR: Broad match modifier (BMM) no longer exists as a standalone match type. Google deprecated it in July 2021 and merged its functionality into phrase match. If you still see +keyword syntax in your account, those keywords now behave exactly like phrase match. Modern phrase match captures the intent-based matching that BMM previously offered, with added flexibility around word order when meaning is preserved. This guide explains what happened, how phrase match works now, and how to manage match types effectively in 2026.
If you learned Google Ads before 2021, you probably remember broad match modifier as the go-to middle ground between phrase match's precision and broad match's chaos. It gave you control. It let you specify which words had to appear while allowing natural variations. Then Google pulled the rug out.
The confusion still lingers. Advertisers ask: "Should I use BMM or phrase match?" The answer is you can't choose between them anymore because they're the same thing now. But understanding what changed, and why, matters for anyone managing campaigns today. Let's clear this up once and for all.
The Short Answer: BMM No Longer Exists (Here's What Replaced It)
Google officially sunset broad match modifier in July 2021. The announcement came in February of that year, giving advertisers a few months to adjust before the transition completed. The reason? Google wanted to simplify match types and push advertisers toward its automated bidding systems that rely on broader matching patterns.
Here's what actually happened: Google merged BMM's behavior into phrase match. They didn't eliminate the functionality—they just consolidated where it lives. Modern phrase match now does what BMM used to do, plus a bit more.
If you open an older Google Ads account today, you might still see keywords with the +symbol syntax. Those keywords still exist in your account structure, but they don't behave like the old BMM anymore. They function exactly like phrase match keywords. Google essentially converted them behind the scenes while leaving the visual syntax in place to avoid breaking account structures.
The practical implication? You can't create new BMM keywords. If you try to add +running +shoes as a keyword today, Google treats it as phrase match. The +symbol no longer triggers unique matching behavior.
This matters because phrase match in 2026 works differently than phrase match did in 2020. It's wider. It's more flexible. It uses Google's natural language understanding to match searches that share your keyword's meaning, even when word order changes. We'll get into the mechanics shortly, but the key point is this: the "new" phrase match absorbed BMM's core functionality while adding intent-based flexibility that the old system didn't have.
What usually happens here is advertisers who learned the old system keep mentally treating phrase match like the restrictive, word-order-dependent match type it used to be. Then they're surprised when their search term reports show queries they didn't expect. That's not a bug. That's the new normal.
How Broad Match Modifier Used to Work (For Context)
Before we explain what changed, let's establish what BMM actually did. If you never used it, this context will help you understand why so many advertisers miss it.
Broad match modifier used the +symbol before individual words in your keyword phrase. Each word with a +symbol had to appear in the user's search query for your ad to show. The order didn't matter. Close variations were allowed. But those specific terms had to be present.
For example, if your keyword was +running +shoes, your ad could show for:
Matched queries: "best shoes for running," "running shoes on sale," "cheap running athletic shoes"
Did not match: "athletic footwear," "jogging sneakers," "marathon gear"
The power of BMM was control with flexibility. You could specify that certain words were non-negotiable while allowing Google to match synonyms and variations for other parts of the query. If you wanted to ensure "running" and "shoes" appeared but didn't care about modifiers like "best," "cheap," or "waterproof," BMM handled that perfectly.
In most accounts I audit from that era, BMM keywords made up 40-60% of the keyword portfolio. Advertisers used exact match for proven high-converters, phrase match for tighter control on specific phrases, and BMM for everything in between. It was the workhorse match type.
The mistake most agencies made was treating BMM like it was "safe broad match." It wasn't. Without proper negative keyword management, BMM could still pull in junk traffic. But compared to pure broad match, it gave you guardrails.
How Phrase Match Works in 2026
Modern phrase match is not your 2020 phrase match. It's evolved into something broader and more intent-focused, absorbing what BMM used to do while adding new matching behaviors.
Here's how it works now: Phrase match triggers your ad when a search query includes the meaning of your keyword, with the words appearing in the same order or in a reordered sequence that preserves the original intent. Google uses natural language processing to determine when a query shares the same meaning as your keyword, even if the exact wording differs. Understanding how phrase match works in Google Ads is essential for modern campaign management.
Let's use "running shoes" as an example. In 2026, phrase match "running shoes" can match:
Word order preserved: "best running shoes," "running shoes for women," "affordable running shoes online"
Word order changed (meaning preserved): "shoes for running outdoors," "shoes designed for running marathons"
Still does not match: "running shoe repair," "running apparel and shoes" (where the intent shifts), "shoe running tips" (different meaning entirely)
The key difference from old phrase match is that flexibility around word order. Pre-2021 phrase match required your keyword to appear in the exact sequence you specified. If your keyword was "running shoes," it would not match "shoes for running." You'd need to add that as a separate keyword.
Now, Google's algorithms evaluate whether the search intent aligns with your keyword's intent. If someone searches "shoes for running" and your keyword is "running shoes," Google recognizes those as semantically equivalent and matches them.
This is where the BMM merger becomes visible. Remember how BMM allowed word order flexibility as long as the required terms appeared? That behavior now lives in phrase match. But phrase match goes further by considering synonyms and intent signals that BMM didn't handle.
For instance, "running shoes" might now match "jogging shoes" in some contexts, depending on how Google interprets the searcher's intent. This wouldn't have happened with old phrase match or BMM. It's a function of Google's increasingly sophisticated understanding of language and user behavior.
What usually happens here is advertisers see search terms in their reports that feel like they shouldn't have matched. A phrase match keyword for "project management software" might show for "software for managing projects." Technically, that's the same intent, just reordered. The system is working as designed, but it feels wider than what you signed up for.
Practical Differences You'll Notice in Your Campaigns
If you're managing campaigns built before 2021, or if you're used to the old match type behaviors, here's what you'll actually see change in your day-to-day work.
Search term reports get more varied. Phrase match now pulls in queries with different word orders and synonym variations. Your search term report for a phrase match keyword like "email marketing tool" might include "tool for email marketing campaigns," "email campaign management software," or "marketing automation for email." Some of these will convert. Some won't. You'll need to review and refine more actively than you did with old phrase match. Understanding the difference between search terms and keywords becomes even more critical in this environment.
Impression volume increases. Because phrase match now casts a wider net, you'll typically see higher impression counts compared to the old phrase match behavior. This isn't necessarily bad, but it means your budget spreads across more queries. If you're not careful, you can dilute spend on lower-intent variations while missing opportunities on high-intent exact matches.
Negative keywords become non-negotiable. With the old phrase match, you could often get away with minimal negative keyword management because the match type itself was restrictive. Not anymore. Modern phrase match requires proactive negative keyword building to prevent waste. If you're not regularly reviewing search terms and adding negatives, you're leaving money on the table. Learn how negative keyword match types work to protect your campaigns effectively.
Match type strategy shifts. The gap between phrase match and broad match is narrower than it used to be. Phrase match now occupies the middle ground that BMM used to hold. This means your match type ladder looks different: exact match for tight control, phrase match for balanced reach, and broad match for maximum discovery (with smart bidding doing the heavy lifting).
The mistake most agencies make is treating modern phrase match like it's still the conservative option. It's not. It's the new middle ground. If you want conservative, you need exact match. If you want exploration, you can push into broad match with confidence that Google's algorithms will optimize toward your conversion goals, assuming you're using smart bidding.
In most accounts I audit, I see advertisers still running phrase match keywords they set up in 2019 or 2020, expecting them to behave the same way. They're frustrated by "irrelevant" traffic that's actually just the new normal for phrase match. The solution isn't to abandon phrase match. It's to adjust your negative keyword strategy and review cadence to match the new reality.
When to Use Each Match Type Now
With BMM gone and phrase match evolved, your match type strategy in 2026 needs to reflect the current system, not the one you learned five years ago. Here's how to think about it.
Use exact match for proven performers and tight budget control. Exact match still works the way it always has, more or less. It matches searches that share the same meaning as your keyword, with minimal variation. If you know a specific keyword converts well and you want to control exactly when your ad shows, exact match is your tool. This is where you put your high-intent, high-value keywords that you've validated through data. Think branded terms, specific product names, or queries with clear commercial intent. Discover the advantages of exact match keywords today to maximize your control.
Use phrase match for balanced reach with intent preservation. Phrase match is now your workhorse match type. It's where BMM used to live. Use it when you want to capture variations and related searches without opening the floodgates to irrelevant traffic. Phrase match works well for mid-funnel keywords where you want some flexibility but still need to maintain relevance. For example, if you're targeting "CRM software for small business," phrase match will capture variations like "small business CRM tools" or "software for small business customer management" while filtering out broader, less relevant queries.
Use broad match for discovery and scale, but only with smart bidding. Broad match has become Google's preferred match type because it feeds the most data into their machine learning systems. It matches any search that Google deems relevant to your keyword, regardless of word order, synonyms, or related concepts. This sounds terrifying, but in practice, broad match works surprisingly well when paired with smart bidding strategies like Target CPA or Target ROAS. The algorithm learns which queries convert and which don't, optimizing bids accordingly. The catch? You need conversion data for this to work. If you're running a new campaign with limited history, broad match will waste budget. But in mature accounts with robust conversion tracking, broad match can unlock scale you wouldn't find with tighter match types.
Here's a practical framework: Start new campaigns with phrase match and exact match. Build your negative keyword list. Let the account accumulate data. Once you have 30-50 conversions per month, test broad match on your best-performing keywords. Monitor search term reports closely for the first few weeks. If the algorithm is finding relevant queries and delivering acceptable CPA or ROAS, expand. If it's pulling in junk, tighten with negatives or pull back to phrase match.
What usually happens here is advertisers either avoid broad match entirely (leaving scale on the table) or jump into it too early (wasting budget on irrelevant clicks). The sweet spot is using broad match strategically on proven keywords in accounts with enough conversion data to train the algorithm. For a deeper dive, read our guide on when to use broad match versus exact match keywords.
Putting It All Together: Managing Match Types Effectively
Understanding the theory is one thing. Actually managing match types in a live account is another. Here's how to operationalize this knowledge in 2026.
Review search term reports weekly, minimum. This isn't optional anymore. With phrase match behaving more broadly than it used to, you need to know what queries are actually triggering your ads. Set a recurring calendar reminder. Export your search term report. Look for patterns. Which queries convert? Which ones waste spend? Add high-performers as exact match keywords. Add irrelevant terms to your negative keyword list. This simple habit prevents most match type problems before they become expensive.
Build negative keyword lists proactively, not reactively. Don't wait for bad queries to show up in your reports. Think ahead. If you're selling software, add negatives for "free," "open source," "tutorial," "how to build." If you're in B2B, add negatives for consumer-focused terms. Create shared negative keyword lists at the account level so every campaign benefits from your ongoing refinement.
Test match type variations on the same keywords. Don't assume one match type is always better. Run the same keyword as exact match, phrase match, and broad match in separate ad groups. Let them compete. After a few weeks, compare performance. You'll often find that different match types work better for different keywords, depending on search volume, competition, and user intent patterns. Learn how to run A/B tests on keyword match types for systematic testing.
Use single keyword ad groups (SKAGs) for high-value terms. If a keyword drives significant revenue, give it its own ad group with tailored ad copy and a dedicated landing page. This level of control works best with exact match, but you can also apply it to phrase match for important mid-funnel terms. SKAGs let you optimize every element of the user experience around a specific query, maximizing relevance and conversion rates.
Don't overthink it. Match types are tools, not religion. The goal is profitable customer acquisition, not perfect adherence to a match type philosophy. If broad match works for your account, use it. If you need tight control, lean on exact match. Most accounts benefit from a mix: exact match for proven winners, phrase match for exploration, and selective broad match for scale. Understanding how keyword match types affect ad targeting helps you make these decisions confidently.
Moving Forward: Match Types in the AI-Driven Era
The BMM versus phrase match question is now a historical footnote. Phrase match absorbed BMM's functionality, and the system moved on. But the broader lesson here is that Google Ads is shifting toward automation and intent-based matching. Match types still matter, but they're increasingly just inputs into Google's machine learning systems.
Understanding this evolution helps you make smarter decisions about match type strategy in 2026. You're not choosing between BMM and phrase match anymore. You're choosing how much control you want versus how much scale you need. Exact match gives you control. Phrase match gives you balance. Broad match gives you scale. Your job is to find the right mix for your specific goals, budget, and risk tolerance.
The advertisers who thrive in this environment are the ones who embrace the new system while maintaining discipline around negative keywords, search term review, and performance monitoring. The tools have changed, but the fundamentals haven't: know your audience, test relentlessly, and optimize based on data.
Managing all this manually, though? That's where the real friction lives. Reviewing search term reports, adding negatives, adjusting match types, building new keyword groups—it all takes time. A lot of time. Especially when you're managing multiple campaigns or client accounts.
That's exactly why tools like Keywordme exist. Instead of exporting search term reports to spreadsheets, manually tagging irrelevant queries, and switching between tabs to update keyword lists, you can handle everything directly inside Google Ads. Remove junk search terms with a click. Build high-intent keyword lists instantly. Apply match types without leaving your account. No spreadsheets, no context switching, just seamless optimization that actually fits into your workflow.
If you're serious about scaling your Google Ads performance without drowning in manual work, Start your free 7-day trial and see how much faster campaign optimization can be. Then it's just $12/month to keep that speed permanently. Your search term reports aren't getting any cleaner on their own.