Bidding Strategies

Target ROAS

Also called tROAS

By the AdFlint research team · Last reviewed July 2026

Bids automatically toward a chosen ratio of conversion value to ad spend, entered as a percentage in Google Ads.

It is the target field inside Maximize Conversion Value, and it only functions when your conversion values are accurate and varied. Google predicts value per auction and bids up where it expects payback. Raising the target reduces volume, and that trade is the mechanism rather than a defect. The common error is picking an aspirational number the account has never reached, which starves delivery outright.

Key takeaways

  • Set the initial target near the account's demonstrated ROAS under Maximize Conversion Value, not at an aspirational figure it has never reached.
  • Raising the target trades volume for ratio by design - fewer, higher-value conversions is the intended outcome, not a malfunction.
  • Base the target on margin, not raw revenue; a strong-looking ROAS can still be unprofitable after cost of goods and other expenses.
  • Judge reported ROAS on a weekly or monthly trend, since a single large order can distort a single day's number.

In practice.

Target ROAS is the equivalent target field inside Maximize Conversion Value, entered as a percentage - 300% means the algorithm is trying to hold an average of $3 in tracked conversion value for every $1 spent. It only works when conversion values are both accurate and varied; feed it the same flat number on every conversion and it has nothing to differentiate one auction from another, at which point it behaves like Target CPA with extra steps.

Google predicts a value likelihood for each auction and bids up where it expects strong payback relative to the target. Raising the target does not make the algorithm try harder for the same volume - it makes the algorithm hold a stricter ratio by bidding on fewer, higher-value opportunities and skipping the rest, so lower spend at a better ratio is the expected result of raising the target, not a malfunction. Portfolio strategies apply the same target across several campaigns and pool their conversion value data, which can help thinner campaigns learn faster by borrowing signal from higher-volume ones in the same group, though it also means one unusually large or unusually small campaign in the portfolio can pull the shared bidding behavior in its direction.

This strategy fits ecommerce accounts with real variation in basket size and lead-gen accounts with scored lead values, where knowing which conversions are worth more is genuinely useful to the bidding decision. The target itself should be set from the business's actual margin, not just from revenue - a 300% ROAS can still be unprofitable once cost of goods, fulfillment, and other expenses are counted, so the number that goes into this field should reflect what the business can sustain, not what looks impressive in a report. It is a weaker fit for accounts where every conversion is worth about the same, since Target CPA achieves a similar outcome with a simpler setup and one fewer moving part to get wrong.

The most damaging mistake is setting a target the account has never come close to achieving - jumping straight to an aspirational ratio rather than starting near the account's demonstrated average and working up in increments. Because a high target is enforced by bidding on almost nothing, an unrealistic target does not produce gradually better efficiency, it produces a campaign that barely spends at all. A second mistake is treating volume loss after a target increase as a problem to fix rather than the mechanism working as intended - the trade-off between ratio and volume is the point of the setting, not a side effect. A third is changing the target frequently in response to daily noise, which keeps resetting the learning period instead of giving any one setting enough time to show a real trend.

Read Conv. value / cost as the ROAS figure, but judge it on a weekly or monthly trend rather than single days - one unusually large order can swing a day's reported ROAS in a way that has nothing to do with how the bidding is actually performing. It is also worth keeping a known breakeven ROAS on hand from the margin math above, so a reported ratio can be judged against what the business needs rather than against an arbitrary round number.

Worked example

Raising the target versus setting one out of reach

Suppose your ecommerce store needs at least a 250% ROAS to break even on ad spend after cost of goods. Your account's trailing 30-day performance under Maximize Conversion Value with no target is $10,000 spend and $32,000 in tracked value, a 320% ROAS, comfortably above breakeven. Setting the target to 350% is a modest ask above that, and after a couple of weeks it might settle near $8,200 spend and $28,700 value, still 350% ROAS, with roughly $1,800 of freed-up budget to redeploy elsewhere.

Now suppose instead you set the target straight to 600%, roughly double anything the account has ever produced. There is no path for the algorithm to deliver that ratio at meaningful volume, so it holds the ratio by bidding on almost nothing, and monthly spend might collapse to something like $1,500 with the campaign barely functioning.

Target ROAS compared with

The settings this gets confused with, and how to tell them apart.

Common questions.

What ROAS target should I set for a new Target ROAS campaign?

Match it to the account's actual trailing ROAS under Maximize Conversion Value with no target first, then adjust in small steps from there. Picking a number the account has never produced usually just cuts delivery rather than improving efficiency.

Why did spend drop sharply after I raised my Target ROAS?

Raising the target is the mechanism, not a side effect. The algorithm holds the higher ratio by buying fewer, higher-value auctions and skipping the rest, so lower spend at a better ROAS is expected behavior.

Should my Target ROAS be based on revenue or profit margin?

Base it on what the business can actually sustain after cost of goods and other expenses, not raw revenue. A target that looks strong on a revenue basis can still be unprofitable if margins are thin.

How much conversion value data does Target ROAS need before it works well?

There is no fixed minimum, but accounts with low conversion volume or little variation in order value tend to see more volatile bidding. More history and a real spread of order sizes give the model more to work with.

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