← All questionsLimitations: Budget, Bids & Search Volume

How do I decide whether to lift a budget limitation or rethink the bid strategy itself?

A quick primer

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 sign that the strategy, not the budget, is really the issue is usually a mismatch between what Impression Share shows (specifically, a persistently high Lost IS from rank, not budget) and the campaign's overall efficiency relative to the market. If a campaign is technically not budget-constrained but consistently underperforms comparable competitors or its own historical numbers, the likely cause isn't the amount of available money, but how the algorithm is distributing it — in that case it may make sense to test a strategy change via Google Ads experiments, which let you compare the current and a new strategy on a slice of traffic without risking the whole campaign at once.

What to check before you touch anything

  • Which of the two Lost IS figures (budget or rank) is numerically bigger? If budget dominates, the fix is a budget increase; if rank dominates, the issue is more likely the strategy/target rather than money.
  • How long has the current bid strategy been in use, and how stable have results been since it started? A strategy that's still performing inconsistently even after a long period may not be optimal for this campaign regardless of budget.
  • Is there enough conversion volume for a more advanced automated strategy to run properly, if you're considering, say, moving from manual management or Maximize Clicks to tCPA/tROAS?
  • Is the business prepared to go through an adaptation/learning period if the strategy changes? Unlike raising the budget, changing the strategy almost always means a temporary period of unstable results.
  • Is there already data showing similar campaigns (in the same niche, or elsewhere in your own account) perform noticeably better on a different bid strategy at a comparable budget?

Possible approaches

  • If Lost IS clearly points to the budget as the main constraint, start there, since it's a faster and more predictable change than switching strategy.
  • If Lost IS points to rank, and the current strategy is relatively simple (say, manual management or Maximize Clicks), it's worth testing a move to a more advanced automated strategy as a way to spend the same budget more effectively.
  • It's better to test a strategy change through an experiment on a slice of traffic rather than switching the whole campaign at once — this reduces the risk if the new strategy turns out to be no better than the current one.
  • If conversion volume isn't yet sufficient for a more advanced automated strategy, first build up data volume on the current, simpler strategy, and only then move to something more complex.
  • If both options (budget and strategy) look justified, you can address them sequentially rather than simultaneously: test the faster, more reversible change first (usually budget), then address the strategy if needed.
  • Cross-referencing Lost IS, the current strategy's performance history, and data on comparable campaigns by hand to make an informed choice between budget and strategy is labor-intensive analytical work. Our tool (DataMind) pulls this data together for every campaign in the account and clearly shows which of the two paths — raising the budget or rethinking the strategy — is statistically better supported in a given case.