How do I figure out exactly which factor is really limiting a campaign's growth right now?

Since 2017, Google Ads has allowed campaigns to spend up to twice the set daily budget on individual days, offsetting that within a monthly cap equal to the daily budget multiplied by the average number of days in a month (about 30.4) — this is an officially documented mechanism, not a billing anomaly or error. Details are in Google Ads Help's article on how daily budget spending works. It follows that a single day where spend noticeably exceeds the daily limit doesn't by itself indicate a systemic budget constraint — it may simply be normal offsetting for a cheaper prior day, within this permitted smoothing mechanism.

A "Limited by budget" status combined with a tight CPA/ROAS target creates a compound constraint, where fixing only one of the two factors may not deliver results: if you raise the budget but the system still won't enter pricier auctions because of the demanding target, the extra money simply won't get spent — impressions won't grow, even if "Limited by budget" formally clears afterward, because the real constraint has shifted to the target. An official breakdown of how bid strategy statuses relate to each other, and why budget and target can constrain a campaign at the same time, is in Google Ads Help's article on bid strategy statuses.

Impression Share (IS) is the share of impressions a campaign got out of the total number it was eligible for (that is, all the impressions its ads could theoretically have competed for in the auction). Google Ads breaks the unmet share down into two separate, independent components: Search Lost IS (budget) — the share of impressions missed specifically due to a budget shortfall, and Search Lost IS (rank) — the share missed due to an insufficiently high ad rank (usually tied to bids, the target, or ad/page quality). The official description of this metric and its formula is in Google Ads Help's article on Impression Share.

When both constraints are present at once, it's tempting to change both parameters at the same time, but that's a methodological mistake: if you change the budget and the target together and results improve, you won't be able to tell which change actually worked — and next time a similar situation comes up, you'll be guessing again instead of relying on something you've actually confirmed. The right approach is to determine priority through the numeric metrics (Search Lost IS budget vs. rank) and change one parameter at a time, with a pause to let things settle between changes. Google's official guidance on interpreting bid strategy constraint statuses, and how to weigh them against each other, is in Google Ads Help's article on bid strategy statuses.

This question is essentially the flip side of diagnosing the "Limited by search volume" status: there, we covered the general approach to telling apart "a small market" from "a narrowly configured campaign," and here it's worth building a concrete checklist of the typical setup mistakes that most often masquerade as "an objectively small niche." The most common technical causes: overly narrow keyword match types (exact match only, instead of broader coverage of semantic variations), an excessively long negative keyword list at the account or campaign level, overly narrow location targeting (say, targeting just a city instead of the whole region where potential buyers actually live), or narrow audience signals in Performance Max that effectively exclude part of the relevant audience. The official breakdown of match types and how narrow match settings shrink reach is in Google Ads Help's article on keyword match types.

This is a direct consequence of the fact that budget and market size are fundamentally different categories of constraint that don't compensate for each other. Budget determines how much money a campaign can spend per day; market size determines how many relevant searches exist at all for the campaign to potentially show against. If the volume of queries in a niche is physically small, no amount of budget will create queries that don't exist — the money simply won't get spent, because there's nothing more to show ads against. This is reflected directly in the logic of the Limited by search volume status, which Google assigns exactly when a campaign is already covering nearly all the available volume given its current keywords and targeting, regardless of budget size — and it's distinct from budget-related Impression Share metrics, which in this case stay low for reasons that have nothing to do with money.

The «Bid strategy constrained by target» status by itself doesn't say whether the target is realistic or not — it simply records the fact that the target is constraining volume. The problem is that a target can constrain volume in two fundamentally different ways: (1) it's genuinely demanding relative to the current state of the auction (a real, justified trade-off between efficiency and volume), or (2) it's artificially too low or too high because of an error in the calculation or the underlying data — in which case the "constraint" doesn't reflect a real business decision, but a technical problem.

This is a specific, common situation in real accounts: a campaign is losing impressions to both budget (Search Lost IS budget is high) and to an insufficiently high ad rank (Search Lost IS rank is high) at the same time. The typical mistake here is to try raising both the budget and bids/loosening the target at once, hoping to "fix everything in one shot." The problem with that approach is that you won't be able to tell which change actually cleared the constraint, and which just added unspent money on top of a problem that's still bottlenecked by rank.

A fragmented account structure — lots of small campaigns instead of consolidated, larger ones — can create the illusion of a budget constraint when the real problem is how budget is distributed between campaigns, not an absolute shortage of money. Each individual campaign has its own daily budget and its own set of statistics for the bid strategy to learn from; the official description of how long, and on how much data, the automated bid strategy learning cycle runs explains why fragmentation hurts specifically at this stage — if an account's total budget is split into many small pieces, each individual campaign can genuinely lack enough data to learn effectively (which lowers ranking quality and creates rank-lost, described in detail in Google Ads Help's article on Impression Share) while also bumping up against its own small budget ceiling (creating budget-lost) — even though merging those same campaigns into one larger structure would keep the total budget unchanged while noticeably improving results through consolidated learning and more flexible spend distribution within a single campaign.

Rank-lost impression share depends not just on your own bids, but on your relative position in the auction — that is, how competitive your bids and ad quality are compared to everyone else in the auction. That means a rise in Lost IS (rank) with absolutely nothing changed on your end is almost always explained by outside changes: either competitors raised their own bids or improved their ad quality, or the mix of auction participants themselves shifted (new competitors showed up), or both are happening at once. The official description of the Impression Share metric, and the logic behind why it reacts to relative rather than absolute position in the auction, is in Google Ads Help's article on Impression Share.

This is a strategic question, not a purely technical one: raising the budget solves the volume problem while keeping the current optimization logic in place, whereas changing the bid strategy itself (say, moving from Maximize Clicks to tCPA, or from manual management to an automated strategy) changes the underlying logic of how the money gets spent. An official overview of the available bid strategies and how they work is in Google Ads Help's article on automated bid strategies. The decision on what to change — budget or strategy — depends on which of two goals is the priority for the business: growing reach within current efficiency, or improving efficiency itself and then growing reach on that stronger foundation.

A campaign shifting from one type of constraint to another — say, from "Limited by budget" to "Bid strategy constrained by target" — usually happens as a direct consequence of clearing one constraint without accounting for the other: for example, the budget was raised, budget-lost dropped, but the target stayed the same and stayed tight, and now it's become the dominant factor limiting growth. An official overview of statuses and the logic behind how they form is in Google Ads Help's article on bid strategy statuses.

A sharp rise in a competitor's auction activity is almost always visible before you feel it in your own campaign's numbers — if you know where to look. Auction Insights shows impression share and overlap rate for every competitor in the same auctions as you, in real time, with history over your chosen period. A sharp jump in a specific competitor's impression share that coincides in time with a drop in your own impressions is direct, quantitative confirmation that this particular player is pulling auction share away from you, rather than a general market decline or a problem on your end.

An across-the-board, simultaneous drop in performance for every keyword in a campaign is an important diagnostic signal on its own: if the cause were local (say, individual keywords became less relevant, or ran into heightened competition specifically on those terms), the drop would be uneven. A synchronized, simultaneous drop across the whole campaign points to a shared, systemic cause operating at the campaign level all at once, rather than at the level of individual keywords. Combined with a "Bid strategy constrained by target" status, this is especially telling, since that status already indicates the target is an active limiting factor; the question is whether the target actually caused the drop, or whether the drop happened for another reason and simply coincided in time with an already-existing constraint status.

The standard recommendation for a target-based limitation is to loosen tCPA/tROAS, but that's not the only lever — and in situations where the business's economics genuinely won't allow a compromise on efficiency (say, unit economics are already running at breakeven, and any loosening of the target immediately turns things unprofitable), you need to look for volume growth other ways, without touching the target itself. The logic here is that a target constraint is really a constraint on the ability to win auctions at a given price; you can expand the volume available at that same price not just by raising your willingness to pay more, but by increasing how competitive your offer is relative to other participants in the same auction.