A quick primer
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.
There's also a substantive, not just methodological, reason to start with the heavier factor: changing the target (unlike changing the budget) kicks off a new Smart Bidding learning cycle, which can take 1–2 weeks and temporarily destabilize results. If the real limiting factor is actually the budget and you start by changing the target instead, you risk going through an unnecessary period of instability, since the budget will still be the bottleneck once that cycle wraps up. The official description of the smart-bidding learning cycle, and how long the system takes to adapt to changes, is in Google Ads Help's article on automated bid strategies.
What to check before you touch anything
- The exact values of Lost IS (budget) and Lost IS (rank) — whichever is numerically bigger is the heavier constraint and deserves priority attention.
- How much temporary instability is the business willing to tolerate? A target change requires a longer settling-in period than a budget change, and that's worth factoring into the order of operations even if the two factors look numerically comparable.
- Do both constraints share one common cause — say, a too-low target simultaneously reducing bid competitiveness (creating rank-lost) and making it harder to fully spend the budget (creating the appearance of the opposite problem, with only partial budget use)? In that case, it's smarter to start with the target as the root cause rather than treating both symptoms separately.
- How much simpler is it, technically, to make one change versus the other? Raising the budget usually doesn't require internal approvals within the ad platform and takes effect almost immediately, while loosening the target implies a longer cycle to check the result.
- Does the business have a hard budget ceiling, regardless of how much it might solve the problem? If the budget genuinely can't be raised, starting there is pointless even if it's numerically the bigger constraint.
Possible approaches
- If one of the two Lost IS figures is clearly and significantly bigger than the other, start there, leaving the second parameter unchanged until you've assessed the effect of the first change.
- If both figures are roughly comparable, it's often smarter to start with the budget, since it's a faster, more reversible, and less destabilizing change than adjusting the target, which kicks off a new learning cycle.
- If both constraints trace back to one root cause (an overly aggressive target), it's more logical to start with the target, since fixing the budget alone will only produce a partial, temporary effect in that case.
- Leave a pause between changes long enough to let things settle (usually 1–2 weeks for the target, a bit less for the budget), and only then assess whether the second parameter needs attention.
- If the budget genuinely can't be raised (a hard spending ceiling for the business), move straight to working on the target and campaign structure, without spending time pre-testing a budget hypothesis that's not practically applicable anyway.
- Before touching either the budget or the target, it helps to understand one more layer of the picture: is the campaign as a whole dragging results down (broad, insufficiently qualified traffic that's technically what's spending the budget), or are specific weak assets inside it (individual keywords, ads, product groups) the culprit — assets that can be fixed in a targeted way without touching the budget or the target at all? Breaking performance down into a stable contribution from specific assets (within) versus an overall structure/traffic effect (mix) by hand is a labor-intensive task. Our tool (DataMind) calculates this breakdown automatically, showing exactly what's dragging results down — the assets themselves, or the campaign's traffic as a whole — which often changes the whole game plan: sometimes the right first move isn't touching the budget or the target at all, but simply fixing or pausing specific weak elements.