There was a rule that held for most of paid search's history: if a search term converts consistently, you add it as an exact match keyword. It was almost automatic. You could see its quality score, track its impression share, control the ad copy it triggered, and ring-fence the bid. It was tidy, predictable, and correct.
That rule is now being challenged in a serious way. Not because exact match has stopped working, but because the conditions under which it held so firmly have shifted. The question is no longer whether exact match is good - it clearly is - but whether adding it always improves performance over letting broad match handle the same traffic.
What Exact Match Actually Gives You
Exact match has always been about control. When a term converts, you want to ensure your ad appears for it reliably. You can monitor quality score, see impression share data, and understand how competitive you are for that specific query. You can write tailored ad copy. You can set a dedicated bid. These are real advantages and they have not disappeared.
The control argument is strongest in accounts where click costs are high, conversion volumes are low, and every lost impression to a competitor matters. In those accounts, knowing that a specific term is served, at the right bid, with the right ad, has direct commercial value. Losing visibility on a converting term because Google chose to serve a different query variant instead is a real problem, not a theoretical one.
Exact match also gives you clean data. When you are trying to understand the economics of a particular query - what it costs, what it converts at, what the quality score tells you about landing page relevance - an exact match keyword surfaces all of that directly. Broad match buries it across a diffuse set of search term reports.
Why Broad Match Is No Longer the Sloppy Option
The old version of broad match was genuinely difficult to defend. It matched to loosely related queries, burned budget on irrelevant traffic, and required constant negative keyword maintenance to stay useful. Pairing it with Smart Bidding has changed that materially. The bidding system now uses conversion signals to suppress poor-quality matches and prioritise the ones most likely to convert.
The result is that broad match, given enough conversion data, can perform with a precision that would have seemed implausible five years ago. Google's system is reading query intent, user context, and historical conversion patterns simultaneously. It is not just matching on keywords - it is making a real-time judgement about whether a given user is likely to convert, and using that to decide whether to serve the ad at all.
This matters for the exact match question because it means that adding an exact match keyword on top of a well-performing broad match term is not automatically additive. In some cases, you are introducing a competing keyword that fragments data, complicates bid management, and may not actually increase the number of good conversions you were already getting.
The Specific Scenarios Where Pausing Exact Match Makes Sense
The key scenario is when broad match is already capturing the converting search term reliably, and the exact match keyword is competing with it rather than complementing it. If both keywords are active and broad match is consistently winning the auction for that query anyway, the exact match keyword is adding administrative overhead without adding coverage. Pausing it simplifies the account without sacrificing performance.
A second scenario involves conversion volume and Smart Bidding thresholds. Smart Bidding performs better with more signal. When you fragment conversion data across multiple match type variants of the same keyword, each one individually has less data to work with. Consolidating to a single keyword - typically the broad match paired with a Target CPA or Target ROAS bid strategy - can allow the algorithm to optimise more effectively than it would with thinly spread data across exact, phrase, and broad variants all running simultaneously.
A third scenario is account complexity. Many accounts have accumulated years of exact match keywords that were added because they converted once or twice. Auditing those against current performance often reveals a long tail of exact match terms that are rarely served, hold minimal quality score data, and contribute almost nothing to overall account performance. Pausing them is less a strategic pivot and more routine hygiene.
When You Should Keep the Exact Match Keyword
There are clear situations where exact match remains the right structure. High-value branded terms are the obvious one - you want control, impression share visibility, and specific ad copy for your own brand name, and you do not want to rely on broad match to deliver that reliably. The same logic applies to competitor terms where ad copy specificity and CPC management matter enormously.
For non-branded commercial terms with high intent and high cost per click, the control that exact match provides is still worth having. If a single converting click is worth hundreds of pounds and the search term is highly specific, understanding exactly when and how you are serving that term is commercially important. Broad match's flexibility becomes a liability when the stakes per click are very high.
Exact match is also worth keeping when you need granular reporting at the keyword level - for client reporting, internal attribution, or budget allocation decisions that require clear keyword-level performance data. Broad match search term reports have improved, but they do not give you the clean keyword-level metrics that exact match does by default.
What This Means for Account Structure Decisions
The practical implication is that account structure decisions around match types now require more nuance than a blanket rule. The old advice - always add converting terms as exact match - has not become wrong, it has become incomplete. The right answer now depends on what your broad match is already doing, how much conversion data you have, and what you need from keyword-level reporting.
A reasonable starting point is to audit your exact match keywords against actual search term coverage. For any exact match keyword, check whether broad match in the same ad group is already capturing that query. If it is, and if both are competing for the same auction, you have a decision to make about consolidation. Pausing the exact match and monitoring whether broad match maintains the same conversion volume is a low-risk test in most cases.
What you should not do is treat this as a reason to abandon keyword-level thinking entirely and push everything into broad match. Smart Bidding is powerful, but it works best when account structure is thoughtful. Broad match without sufficient conversion data, without sensible negative keyword coverage, and without regular search term monitoring is still capable of wasting significant budget. The point is not that broad match has replaced exact match - it is that the two now need to be evaluated together, with the actual data from your account driving the decision.