Google Ads Bidding Strategies: When to Use Each One
Most Google Ads accounts do not have a bidding problem. They have a sequencing problem: a strategy is chosen because it sounds advanced, not because the account has the data and the goal it needs. The decision in front of you is which strategy fits your account today, and what has to be true before you move to the next one.
Why "just use Target ROAS" fails
Target ROAS is the strategy people hear about most, so it becomes the default answer. But an automated strategy can only optimise toward what you tell Google Ads you value. If the conversion action is badly set up, if every order is sent with the same value, or if there are very few conversions, the system optimises toward noise.
Google's documentation also sets minimum conversion history for Target ROAS, and the numbers differ by campaign type. Check the current requirements for your campaign type on the official page instead of trusting a number from a blog post, including this one.
A four-question fit test
Answer these in order. The first "no" tells you where to stop.
- Is the conversion measured correctly? One purchase should be counted once, with a real value. If not, fix this first (see Google Ads conversion actions setup).
- Is there enough history? Google's own guidance says that with too little conversion data you should build it first, using a simpler strategy.
- Does value vary between conversions? If every conversion is worth about the same, counting conversions is enough. If values differ a lot, value-based bidding makes sense.
- Do you know your break-even? A return target is only meaningful if it comes from your margin, covered in Setting a Google Ads ROAS Target From Your Margin.
Manual CPC
Optimises for: Clicks you control directly
Best fit when: Almost no conversion data, or tight control needed
Maximize conversions
Optimises for: Number of conversions within your budget
Best fit when: Volume is the goal and order values are similar
Maximize conversion value
Optimises for: Total conversion value within your budget
Best fit when: Values differ and you want revenue, without a return limit yet
Target ROAS
Optimises for: Value, held to a return goal you set
Best fit when: Enough clean data and a margin-based target
Any strategy on bad tracking
Optimises for: The wrong signal
Best fit when: Never a good fit
Names and labels change over time. Google has announced renaming some strategy labels, so check your account.
What each strategy does in plain terms
Maximize conversions aims to get as many conversions as possible from your budget, treating each conversion as equal. Google notes it will try to spend the full daily budget, so if you currently spend well below your budget, spend can rise.
Maximize conversion value does the same but weights conversions by value, which suits a store with a mixed price range. Adding a ROAS target to it behaves like the classic Target ROAS strategy.
Target ROAS sets the return you want per unit of spend. Google Ads suggests a target based on recent performance, but that is your past, not your break-even.
Illustrative example, not real results
A store has 100 incoming orders and 200 SAR average order value. After product cost, shipping, fees and failed parcels, those orders can afford at most 3,750 SAR of advertising before losing money (the method is in Contribution Margin per Order).
Reported revenue
100 orders × 200
20,000Advertising allowed
Break-even budget
3,750Break-even ROAS
20,000 ÷ 3,750
5.33Decision
Below the data threshold: Maximize conversions first
step 1
If only kept orders (45) were counted as value, the same budget gives a break-even ROAS of 9,000 ÷ 3,750 = 2.4. What you send as value changes the target.
The lesson is that the same business has two different break-even ROAS figures depending on what conversion value you send. Choose the definition before you choose the strategy.
Trade-offs and when the advice changes
- Automation versus control. Automated strategies react to signals you cannot see. You give up granular control and gain speed. Tight manual control can win in tiny accounts with almost no data.
- Seasonal swings. During a sale, a strategy tuned on normal weeks may behave differently. Plan changes outside peak days, and do not change targets and budget the same day.
- Mixed margins. If margins differ a lot across products, a single ROAS target hides it. Separate campaigns by margin band.
- COD stores. If many orders fail after the click, the value Google sees is higher than the value you keep. Account for that in the target.
Implementation steps
- Confirm the purchase conversion counts once and carries a value.
- Pick the strategy that fits the four questions above.
- Change one thing at a time and note the date.
- Let the strategy run for a fair period before judging it; short windows mislead.
- Compare against your own sales and margin, not only the platform report.
- Review the search and Shopping split in Google Search vs Shopping Ads, since strategy behaviour differs by campaign type.
What the data cannot tell you
Platform conversions are modelled and attributed by Google's rules. They will not match store sales exactly. A strategy can raise reported ROAS by shifting toward easy, already-intent buyers, which is not the same as new profit. Judge by contribution, not by the reported figure.
Next action
Write down, for your main campaign: the conversion counted, the value sent, your break-even and the strategy currently in use. If any of the four is unclear, a Full Ads & Tracking Audit or an ads management engagement can settle it.