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Target ROAS (tROAS) in Shopping and PMax: Set, Adjust, Check

Find a Target ROAS for Shopping and Performance Max that stays above break-even and still spends the budget, then change it by no more than 15% at a time.

Target ROAS (tROAS) tells Google how much conversion value you want back, on average, for each unit of ad spend. Smart Bidding then bids higher where a valuable order looks likely and lower elsewhere. In Standard Shopping it is a separate bid strategy; in Performance Max, an optional target inside Maximize conversion value. Start from your actual ROAS and keep the target above break-even. By the portal’s rule, move it in steps of up to 15%, one to two weeks apart, and judge each step after about two weeks.

Target ROAS is one of several bidding strategies for online stores, and it only pays off once a campaign has enough conversions to learn from.

How does Target ROAS work?

According to Google Ads Help (About Target ROAS bidding), the strategy predicts the value of a possible conversion at every auction. It then sets the maximum cost-per-click bid to get the most value while keeping average ROAS close to your target. Some orders come in above the target and some below. Google aims at the average.

Everything rests on the conversion value your site sends with each order. Google asks you to set values for your tracked conversions before you apply the strategy. If the site sends one fixed number instead of the order amount, the strategy learns from that number instead of your revenue.

You write the target as a percentage: conversion value ÷ ad spend × 100%. In Google’s own example, a target of 500% means 5 in sales for every 1 you spend on ads.

Google also names a data minimum: at least 15 conversions in the past 30 days for Search and Shopping campaigns. The portal sets its own bar higher. It treats 30 conversions a month per campaign as the minimum and 50+ as comfortable.

Where does the target live in Shopping and Performance Max?

The two campaign types reach the same bidding behaviour through different settings.

Standard ShoppingPerformance Max
Where you set the targetBid strategy: Target ROASBid strategy: Maximize conversion value, with the optional target ROAS filled in
Google’s data minimum15 conversions per Merchant Center ID in the last 30 daysNo figure on Google’s Target ROAS help page
Avg. target ROAS columnAvailableAvailable
The 17 August 2026 change for budget-limited campaignsAppliesApplies; traffic may also shift between channels

In the Google Ads API, a standard, single-campaign target ROAS is Maximize conversion value with the target field set. The separate Target ROAS strategy type is currently listed only for portfolio strategies (Bid strategy types). Performance Max supports two strategies, Maximize conversions and Maximize conversion value, each with an optional target, and it cannot use portfolio strategies (Create a Performance Max campaign).

The interface labels are changing too. Google Ads Help says that from June 2026 “Maximize conversion value with a Target ROAS” is being relabelled “Target ROAS”, while bidding behaviour stays the same. In practice, a campaign shown as Maximize conversion value in a report or an export may still carry a target. Check the target field, not the strategy name.

Performance Max carries most of the budget, so its bidding settings matter most

Performance Max runs in 141 of 146 stores in our data and takes a median 95.7% of their ad budget. Standard Shopping runs in 74 of them and takes a median 6.5% of budget in those stores (GetProfit data, June 2025 – June 2026). So in most stores, the bidding settings of Performance Max campaigns, including the target, steer almost all ad spend.

What happens to volume when you raise or lower the target?

The target trades volume for efficiency. Google warns that a target set too high may limit the traffic your ads get. The API reference for MaximizeConversionValue adds that with a high target the strategy may not spend the full budget.

Lowering the target works the other way. Google’s Shopping guide (Set up Target ROAS bidding for Shopping campaigns) compares it to raising a bid. The strategy then pays more per conversion to bring in more sales. Google also warns that clicks may drop under Target ROAS, and that this is expected.

So a higher target works as a filter: it narrows bidding to the auctions most likely to clear the bar, and traffic can fall with it. A target set too high has its own article: why spend stalls and what lowering the target does to revenue.

Since 17 August 2026, results also stay closer to the target. According to Google Ads Help (Changes to target based bid strategies), budget-limited campaigns on a target-based strategy now deliver more consistently towards the target. A campaign that used to beat its target now moves closer to it, and any change to targets or budgets is up to you. We worked through what the 17 August change costs a store, campaign by campaign.

How do you set the first target?

Google suggests basing the target on your business goals, with past ROAS as a reference. For Shopping, its rule of thumb is conversion value divided by ad spend over the last 4 weeks. Leave out the most recent days, when conversions are still coming in. Google Ads also proposes a target based on your actual ROAS over the last few weeks.

Then run two checks on that number. The first is profit: ROAS in Google Ads counts revenue, not margin, so the target needs a floor at your break-even ROAS. At a 40% gross margin, break-even ROAS is 1 ÷ 0.40 = 250%. A target below it buys orders at a loss.

The second check is the window. One strong month is a poor base, because a store’s ROAS moves a lot from one month to the next. The full method for your first target ROAS is a separate guide.

How the portal sets targets by product group

When a store splits products into campaigns, each campaign needs its own target. In the portal’s campaign structure rules, the target for each product group is the account ROAS times a multiplier. The portal rounds the result to the nearest 10% and never lets it go below 100%.

Product groupTarget = account ROAS ×
Selling products with enough conversions in the last 90 days1.0
Other selling products0.95
New products and products with no clear status0.9
Spend but no conversions in the period, yet sold at ROAS 200%+ over 360 days1.2
Spend but no conversions in the period, the rest1.3
No clicks or impressions, yet sold at ROAS 200%+ over 360 days1.2
No clicks or impressions, the rest1.3

Selling products get a target at or near the account level. New products get a lower target so they can win impressions. Products that have spent without selling get a stricter target, which keeps their spend down until they start to sell.

Splitting only works while each campaign still gets enough conversions. In the portal, giving each campaign its own target and budget becomes safe once product campaigns bring in 30 conversions a month. Google points the same way: performance generally improves with fewer, larger campaigns that get more conversions.

Example store, not client data.

A home-goods store has an account ROAS of 400% and a gross margin of 40%, so its break-even ROAS is 250%. Its targets come out at 400% for selling products with enough conversions, 380% for other selling products and 360% for new products. The groups without recent conversions get 480% or 520%. Every target clears the 250% floor.

A store’s monthly ROAS typically swings 16% around its own median

We looked at 110 stores with at least eight months of history (GetProfit data, June 2025 – June 2026). A store’s monthly ROAS typically sits 16.0% away from its own median. For the middle half of stores, that swing ranges from 11.0% to 24.1%. At the median, a store’s best month has 3.1× the ROAS of its worst.

Two consequences follow for the target:

  • A target copied from one strong month can sit far above a typical month’s ROAS. A target above what the campaign actually delivers holds back volume.
  • A gap of a few percent between target and result is normal movement. The target can stay as it is.

These are observations across stores, not an experiment. We calculate ROAS here from revenue, because our data has no cost of goods.

How far and how often should you change the target?

When you edit the target, the strategy recalibrates. After a setting change, Google may show the bid strategy status Learning with the reason “Setting change” (About bid strategy statuses). During that learning period, results can fluctuate, so measure them later.

Google says the strategy reacts to a new target at once but needs one to two conversion cycles to reach it. For Shopping, it suggests giving the strategy 15 days before you evaluate it, and reviewing data weekly rather than daily.

The portal’s rule also limits each step. Move the target by up to 15% at a time, at most once every one to two weeks.

PathTargetsSize of each step
In steps, a week apart300% → 330% → 350% → 370%+10%, +6.1%, +5.7%
In one jump300% → 600%×2

The stepped path reaches 370% with every move inside the limit. The jump doubles the target in one go, and the portal’s methodology treats a jump like that as sending the campaign back into learning. A separate article covers step size and timing: how big a step to take and when to judge it.

In the portal’s change log, a target ROAS step above 15% counts as sharp. More than three changes a week on one campaign counts as frequent.

Seasonal peaks follow their own rule in the portal’s methodology. Two weeks ahead, lower the target by 10–15% and raise the budget by 20–30%. During the peak, do not raise the target.

How do you check whether the target is working?

Start with Google’s own comparison. Add the Avg. target ROAS column next to actual ROAS: it shows the traffic-weighted average of the targets the strategy pursued in the period. After an edit, it differs from the target you see in settings, because it averages the old and new values. The bid strategy report shows actual ROAS beside it.

Then look beyond ROAS:

  1. Conversion value and conversions. Google advises checking conversion value first and ROAS second. A higher ROAS on falling revenue means the campaign brings in less money.
  2. The right window. Leave out the latest days while conversions are still coming in. Compare whole weeks, not single days.
  3. A fair before-and-after. The portal compares 14 days before and after each change. It marks a change “worked” when ROAS rises by more than 20% and conversions stay at 80% or more of their earlier level. It marks it “hurt” when ROAS falls by more than 20% or conversions drop below half. With under seven days of data, or no conversions in either period, the verdict is “too early”.
  4. Other causes. A season, a stock change or a competitor can move the result too. The portal adds a caveat next to its verdict: the effect may not come from the change alone.

The portal also flags two problems with settings. First, it checks whether a campaign’s target ROAS is set too high against what the campaign actually delivers. Second, it checks whether the order value behind that ROAS is real. From 10 conversions on, a product campaign gets a warning when its average order value is below 0.3× or above 8× the account median.

What to do with your targets this week

  1. Confirm the conversion value is real. It should equal the order amount, not a fixed number.
  2. Check conversion volume per campaign. Google’s minimum for Shopping is 15 in 30 days; the portal’s working bar is 30 a month. Below that, the safer setup is a simple structure on Maximize conversion value, with no target and spend steered by budget.
  3. Find every target, including hidden ones. Open each Performance Max campaign and read the target field, whatever the strategy name says.
  4. Compare target with actual over 4 weeks. Use Avg. target ROAS and actual ROAS, leaving out the latest days while conversions are still coming in.
  5. Check each target against break-even ROAS. A target below it buys orders at a loss.
  6. Decide on budget-limited campaigns that beat their target. Raise the target towards the actual level, or add budget. Google offers both options and leaves the choice to you.
  7. Move in steps. No more than 15% at a time, one change per campaign, one to two weeks apart.
  8. Judge after 14 days. Look at ROAS together with conversion value and conversions.

Who changed what in your ads — and how it ended. The portal keeps a log of changes: budgets, bids, conversion goals, product sets, whole campaigns. For each one it works out what things were like before and after, and says it plainly: did it work or did it hurt. The portal changes nothing without your consent.

Sign in with Google Ads →

Sources

  • About Target ROAS bidding — how the strategy bids, the 500% example, 15 conversions in 30 days for Search and Shopping, the June 2026 relabelling, the Avg. target ROAS column, a target set too high may limit traffic, one to two conversion cycles after a change, fewer larger campaigns. Checked 2 October 2026.
  • Set up Target ROAS bidding for Shopping campaigns — 15 conversions per Merchant Center ID, the 4-week basis for the target, 15 days before evaluating, lowering the target works like raising a bid, clicks may drop. Checked 2 October 2026.
  • Changes to target based bid strategies — the 17 August 2026 change for budget-limited campaigns, channel shifts in Performance Max, Google does not change targets or budgets automatically. Checked 2 October 2026.
  • About bid strategy statuses — the Learning status after a setting change. Checked 2 October 2026.
  • Create a Performance Max campaign — Performance Max supports only Maximize conversions and Maximize conversion value with optional targets, and no portfolio strategies. Checked 2 October 2026.
  • Bid strategy types — a standard target ROAS is Maximize conversion value with a target; the Target ROAS strategy type is listed for portfolio strategies only. Checked 2 October 2026.
  • MaximizeConversionValue — with a high target the strategy may not spend the full budget. Checked 2 October 2026.
  • GetProfit data: 146 stores, June 2025 – June 2026 — share of budget and number of stores for Performance Max and Shopping.
  • GetProfit data: 110 stores with at least eight months of history, June 2025 – June 2026 — monthly deviation of ROAS from each store’s own median, best month to worst.
  • GetProfit portal methodology — target multipliers by product group, step size and frequency, the 14-day change verdict, order-value checks.