How does the Target ROAS bidding strategy work in Google Ads?

Alexandre Airvault
January 19, 2026

What Target ROAS is (and what it isn’t)

Target ROAS (Target Return on Ad Spend) is a value-based automated bidding strategy designed to maximize total conversion value (usually revenue) while trying to hit a specific efficiency goal you set: your ROAS target.

One important “translation” point: in many places in the Google Ads interface—especially for Search—you’ll see this packaged as Maximize conversion value with an optional Target ROAS. The bidding behavior is effectively the same idea: value-first optimization with an efficiency guardrail.

The ROAS math (so the target you set actually makes sense)

ROAS is simply conversion value divided by ad spend. In Google Ads, ROAS targets are commonly expressed as a percentage.

If you spend $1 and want $5 back in tracked conversion value, your ROAS target is:

$5 ÷ $1 × 100 = 500% Target ROAS

That does not mean every auction, keyword, product, or audience will hit 500%. It means the system will try to land your average conversion value per cost around the target over time.

How Target ROAS differs from “Maximize conversion value” (without a target)

Without a ROAS target, Maximize conversion value is typically more “budget-hungry”: it will push to spend your daily budget to get as much total conversion value as possible. Add Target ROAS, and you’re telling the system, “Don’t chase value at any cost—maintain efficiency.” In practice, that usually means you’ll trade some volume for profitability when the target is set aggressively.

How Target ROAS bidding works in the auction

At a high level, Target ROAS uses your reported conversion values (from conversion tracking) to predict the likelihood that a click (or interaction) will convert and what that conversion is likely to be worth. Based on those predictions, it sets a maximum cost-per-click (max CPC) in real time for each auction.

Why results vary by query even with one fixed target

Some auctions will come in above your target and some below it. That’s expected. The system is managing towards an average ROAS across traffic over time, not guaranteeing a fixed ROAS on every single search term, product, or user.

Auction-time signals: why it can bid differently for the same keyword

The reason Smart Bidding can outperform static bidding is that it adjusts bids using real-time context. That typically includes signals like device, location, time of day, browser, and other contextual factors, plus whether someone matches your remarketing or audience signals. In plain English: the same keyword can be “worth” very different bids depending on who’s searching and under what conditions.

Learning period and conversion delay: the two time concepts that matter most

Target ROAS needs time to calibrate after meaningful changes (new strategy, target change, conversion setting changes, or major campaign structure changes). A common calibration window is roughly up to around 50 conversion events or about 3 conversion cycles (a conversion cycle is the typical time from click to conversion for your business).

Also, because conversions don’t appear instantly, you should evaluate changes over 1–2 conversion cycles rather than reacting to a couple of days of performance. If your average click converts in 7 days, you’re usually looking at week-scale evaluation windows, not day-scale.

Prerequisites that make (or break) Target ROAS

1) You must have conversion values you trust

Target ROAS is only as good as the conversion values you feed it. If values are missing, inconsistent, or inflated, the bidding will optimize toward the wrong outcome.

For ecommerce, the ideal setup is transaction-specific (dynamic) revenue, so each purchase sends its real order value. For lead gen, you need a value model that reflects business reality—otherwise the system may optimize for “easy” leads rather than profitable ones.

2) Control which conversions it optimizes to

Target ROAS only optimizes to the conversion actions you’ve chosen to include in the core conversion reporting columns used for bidding. If you accidentally include low-value micro-conversions (like newsletter signups) alongside high-value purchases, you can unintentionally steer bidding away from profit.

A best-practice approach is to make sure your “biddable” conversions represent the outcomes you’d happily spend more money to generate.

3) Minimum data/eligibility: don’t force it too early

Most campaign types generally need a baseline level of recent conversion history to run Target ROAS effectively—commonly at least 15 conversions in the past 30 days. Some campaign types have their own rules (apps can require substantially more daily volume). The practical takeaway: if you don’t have enough recent, stable conversion value data, your results will be volatile and targets may be hard to achieve.

4) Conversion value rules (when you want “ROAS” to mean your ROAS)

If certain customers are worth more (for example, specific locations, device types, or audience segments), conversion value rules let you adjust values at bidding time with multipliers. This is especially useful when “revenue” alone doesn’t reflect true business value—like higher lifetime value regions or repeat-customer audiences.

Used well, value rules help Target ROAS optimize toward what you actually value, not just what your site records as a raw transaction amount.

5) Bid adjustments and bid limits: what still matters (and what doesn’t)

With Target ROAS, most manual bid adjustments (location, schedule, audiences, etc.) are effectively ignored because the strategy is already optimizing in real time. The notable exception is that you can still apply a -100% device adjustment if you truly need to opt out of a device entirely.

You may also see options for bid limits in some portfolio setups, but in most real accounts I manage, bid limits are a last resort. They can prevent the strategy from bidding what it needs to bid to hit your goal—especially in competitive auctions or during demand spikes.

How to set a Target ROAS that scales (instead of choking volume)

The most common Target ROAS mistake I see is setting the target based on what the business wishes it could achieve rather than what the account can realistically deliver right now. A target that’s too high usually reduces eligibility for auctions, which often shows up as lower impressions, fewer clicks, and “why did my volume disappear?” conversations.

A practical way to choose your starting target

Start with what the account has been achieving on a comparable time range and conversion mix, using the conversion value per cost metric (then multiply by 100 to express it as a percent). Just as important: avoid judging ROAS using the most recent days if you have meaningful conversion delay—those days are often incomplete.

Adjust targets with intent (and give them time)

If you need more volume, you usually lower the Target ROAS gradually to allow the strategy to enter more auctions. If you need higher efficiency, you generally raise the Target ROAS, accepting that volume may drop. After changes, allow roughly 1–2 conversion cycles before making another major adjustment, unless there’s a true business emergency.

Troubleshooting Target ROAS: a fast diagnostic checklist

When Target ROAS “isn’t working,” the root cause is usually measurement quality, conversion selection, or an unrealistic target—not the bidding algorithm itself.

  • Validate conversion values first: Are values being recorded for all primary conversions? Are they correct (no duplicates, no missing currency, no test orders, no inflated values)?
  • Confirm the right conversions are included for bidding: Ensure only the conversions you truly want to optimize toward are included in the bidding conversion columns.
  • Check whether the target is too aggressive: If volume collapsed, test a modest reduction in Target ROAS and monitor over 1–2 conversion cycles.
  • Respect conversion delay: If your sales cycle is longer, widen evaluation windows and avoid reacting to a few days of partial data.
  • Look for recent “reset” events: Major changes (targets, budgets, conversion settings, campaign structure) can extend learning—expect temporary instability.

Advanced controls: seasonality adjustments and data exclusions

Seasonality adjustments (short, predictable conversion-rate shocks)

Smart Bidding already accounts for normal seasonality, so seasonality adjustments are for the rare, material, short-term events you can predict—like a 3-day flash sale where conversion rate jumps far beyond typical patterns. They’re generally best for short events (often in the 1–7 day range) and can be less reliable if used too long (for example, beyond a couple of weeks).

Data exclusions (when conversion tracking breaks)

If your conversion tracking is broken or uploading offline conversions fails, data exclusions help reduce the damage to Smart Bidding decisions by telling the system to ignore impacted click dates. Best practice is to apply exclusions quickly, avoid using them frequently, and avoid removing them once applied. If you backfill conversions later for reporting, do it cautiously and only after allowing a short buffer period so you don’t create additional instability.

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Topic Key Takeaways from the Article Practical Actions / How to Use It Related Google Ads Documentation
What Target ROAS is Target ROAS (Return on Ad Spend) is a value-based Smart Bidding strategy that uses your reported conversion values to maximize total conversion value while aiming for an average ROAS target over time. In the Google Ads UI, this usually appears as “Maximize conversion value” with an optional Target ROAS field. Use Target ROAS when you care about revenue or value, not just volume. Expect ROAS to be managed on average across auctions, not per keyword or query, and understand you’re trading off between scale and efficiency based on the target you set. Pick the right bid strategy
Changes to how Smart Bidding strategies are organized
Bidding overview
ROAS math & target setting basics ROAS = conversion value ÷ cost, often expressed as a percentage in Google Ads (for example, $5 value on $1 spend = 500% Target ROAS). The system aims to hit this average over time, not on each individual auction. Calculate your starting Target ROAS using actual “conversion value per cost” from a comparable historical period (then ×100 to get a percentage). Avoid setting targets based on wishful thinking; overly aggressive targets usually shrink traffic and conversions. Pick the right bid strategy
Target ROAS vs. Maximize conversion value (no target) Maximize conversion value without a target is budget‑hungry: it tries to spend your daily budget to get the most conversion value possible. When you add a Target ROAS, you introduce an efficiency guardrail, often trading some volume for better profitability or return. Use Maximize conversion value without a target when you mainly want to grow revenue within a budget. Add a Target ROAS once you understand typical performance and want to control efficiency, knowing that setting the target too high can choke volume. Pick the right bid strategy
Changes to how Smart Bidding strategies are organized
How Target ROAS bids in the auction Target ROAS uses your conversion tracking data (including values) to predict both the likelihood of a conversion and its likely value, then sets a real-time max CPC for each auction. Results will naturally vary by query and user; some auctions will be above your target and some below, but the system manages to an average. Ensure conversion tracking with values is working properly, then enable Target ROAS. Expect per‑query variability and evaluate performance using averages and trends over time instead of focusing on outlier queries or single‑day swings. Bidding overview
Auction‑time signals & Smart Bidding advantages The same keyword can receive very different bids depending on signals like device, location, time of day, browser, and audience/remarketing membership. This auction‑time context is what allows Target ROAS to outperform static or manual bidding. Lean into Smart Bidding’s use of signals by building strong audience lists, accurate location settings, and relevant ad scheduling. Avoid fighting the system with overlapping manual controls where they’re unnecessary. Bidding overview
Learning period & conversion delay Target ROAS needs a learning period after major changes. A common guideline is up to about 50 conversion events or roughly three conversion cycles. Because conversions can be delayed, you should evaluate changes over one to two full conversion cycles, not just a few days. After launching or adjusting Target ROAS, avoid frequent changes. Let the strategy accumulate enough conversions and wait through your typical click‑to‑conversion lag before judging performance or making another major edit. Create a seasonality adjustment (for related Smart Bidding controls)
Prerequisite 1: Reliable conversion values Target ROAS is only as good as the values you feed it. Missing, inconsistent, or inflated values cause the strategy to optimize for the wrong outcome. Ecommerce should send dynamic transaction‑level revenue; lead gen should use a value model that reflects real business impact, not just form fills. Audit your conversion actions to ensure each key action has an accurate value. For ecommerce, confirm transaction‑specific values are passed correctly. For lead gen, assign differentiated values to leads based on quality or downstream revenue. Conversion value rules and reporting
Prerequisite 2: Choosing which conversions to bid to Target ROAS only optimizes toward conversion actions included in the primary bidding/reporting columns. Mixing low‑value micro‑conversions with high‑value outcomes can pull bidding toward cheaper but less profitable actions. Review which conversion actions are counted as “primary” for bidding. Keep only those outcomes you’d be happy to pay more for (for example, purchases, high‑quality leads) and move informational or engagement events to secondary reporting only. Create a seasonality adjustment (section on changing conversion goals and Smart Bidding)
Prerequisite 3: Minimum data / eligibility Most campaigns need a baseline volume of recent conversions to run Target ROAS effectively, often at least 15 conversions in the last 30 days, with some campaign types requiring more. Insufficient data leads to volatility and difficulty hitting targets. Before switching to Target ROAS, confirm you have enough recent conversions with meaningful values. If not, consider starting with a simpler strategy (like Maximize conversions or Maximize conversion value without a target) to build history first. Pick the right bid strategy
Prerequisite 4: Conversion value rules Conversion value rules let you adjust values by audience, location, or device so that Target ROAS optimizes toward what you actually value (for example, higher‑LTV regions or repeat‑customer audiences), not just raw transaction amounts. Set up conversion value rules where certain customers, geos, or devices are worth more or less than average. Use these multipliers to align Google Ads’ perceived value with your real customer lifetime value and profitability. Conversion value rules and reporting
Prerequisite 5: Bid adjustments & limits With Target ROAS, most manual bid adjustments (location, schedule, audiences) are essentially ignored because Smart Bidding already accounts for those signals. A −100% device bid adjustment is still honored to fully exclude a device. Manual bid limits can restrict the strategy and prevent it from bidding what is needed to hit your goal. Remove most manual bid adjustments when using Target ROAS, except a −100% device adjustment if you must block a device. Avoid strict bid caps unless absolutely necessary, and monitor whether they are limiting impression share or value. Bidding overview
Setting a scalable Target ROAS The article stresses that unrealistic targets are the most common mistake. If the target is set too high relative to current performance, the campaign loses eligibility in auctions, leading to fewer impressions and clicks. Use historical “conversion value / cost” as your baseline and set your initial target close to reality. Once performance is stable, adjust gradually: lower the target for more volume, raise it for higher efficiency, always allowing enough time between changes. Pick the right bid strategy
Adjusting targets & evaluation windows To increase volume, you generally lower Target ROAS; to improve efficiency, you raise it and accept some volume loss. After each change, you should wait one to two conversion cycles before making further adjustments, unless there is a true business emergency. Plan ROAS target changes in modest steps (for example, 10–20% at a time), align them with your sales cycle, and schedule reviews after full conversion windows, not daily. Avoid rapid back‑to‑back changes that can keep the strategy perpetually “learning.” Bidding overview
Troubleshooting Target ROAS performance When Target ROAS “isn’t working,” it is usually due to poor measurement, wrong conversion selection, or an unrealistic target. Other key factors include ignoring conversion delay and recent major changes that reset learning. Follow a diagnostic checklist: validate conversion values, confirm only desired conversions are used for bidding, test a less aggressive target if volume collapsed, respect conversion lag in evaluation, and note any recent structural or settings changes that might have reset learning. Create a seasonality adjustment (Smart Bidding controls section)
Use data exclusions for conversion data outages
Advanced control: Seasonality adjustments Seasonality adjustments are for rare, short, predictable conversion‑rate spikes (for example, 1–7 day flash sales) that go beyond normal patterns. Smart Bidding already handles typical seasonality, so overusing this feature can harm performance. For short, planned events where you expect a sharp, temporary change in conversion rate, create a seasonality adjustment that covers only the event window and the affected campaigns. Avoid using it for long or frequently recurring periods. Seasonality adjustments for Smart Bidding
Create a seasonality adjustment
Advanced control: Data exclusions Data exclusions help protect Smart Bidding when conversion tracking breaks or uploads fail by telling the system to ignore impacted click dates. Removing exclusions or backfilling data incorrectly can cause instability, so they should be used sparingly and carefully. When you have tracking outages or incorrect tagging, apply a data exclusion for the affected date range as soon as possible. Avoid frequently using or later removing exclusions, and wait before backfilling conversions so you do not confuse Smart Bidding models. Use data exclusions for conversion data outages

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Setting Up Target ROAS in Google Ads

Prerequisites Before Using Target ROAS

Before diving into setting up Target ROAS (Return on Ad Spend), ensure you meet these key requirements:

  • Have conversion tracking set up and recording accurate data in your Google Ads account. This is critical, as Target ROAS relies on conversion values to optimize bids.
  • Accrue at least 15 conversions in the last 30 days for the campaign you want to optimize. This provides enough data for the algorithm to make informed bidding decisions.
  • Determine a realistic Target ROAS based on historical performance. Analyze your past ROAS (conversion value / cost) to set an achievable target.

Step-by-Step Instructions to Set Up Target ROAS in Google Ads

  1. Sign in to your Google Ads account and navigate to the Campaigns tab.
  2. Select the campaign you want to optimize with Target ROAS.
  3. Click the Settings tab and scroll down to Bidding.
  4. Click Change bid strategy and select Maximize conversion value from the dropdown menu.
  5. Set your desired target ROAS percentage. For example, a 500% Target ROAS means you aim to get 5 times your ad spend in conversion value (e.g., $50 in sales for every $10 spent).
  6. Save your changes. The algorithm will now automatically adjust bids to meet your Target ROAS.

Note: It may take a few days for the algorithm to gather data and optimize performance fully.

Best Practices for Determining a Realistic Target ROAS

  • Analyze historical data: Look at your campaign's ROAS for the past 30-90 days. This gives a benchmark for what's achievable. See more on setting realistic ROAS targets.
  • Consider your profit margins: Ensure your Target ROAS covers your cost of goods sold and other expenses. For instance, if your profit margin is 25%, a 400% ROAS would be the minimum to break even (1 / 0.25 = 4).
  • Start conservative and adjust gradually: Begin with a Target ROAS slightly below your historical average. Then, incrementally raise it every few weeks as the algorithm optimizes. Sudden, drastic changes can destabilize performance.

Common Pitfalls to Avoid When Configuring Target ROAS

  • Setting the target too high: An unrealistic ROAS goal (e.g., 1000% when you normally achieve 300%) will limit your ads' visibility and sales volume. Be ambitious but grounded.
  • Ignoring the learning phase: After changing to Target ROAS, allow at least 2 weeks for the algorithm to adjust before making significant changes.
  • Making frequent, major adjustments: Each time you modify the target, the algorithm re-enters the learning phase. Make small changes (10-20%) no more than once every 2-4 weeks.
  • Neglecting to monitor performance: While Target ROAS automates bidding, you should still regularly check your campaign's key metrics. Ensure the target remains aligned with your business goals.

By following these steps and best practices, you can effectively leverage Target ROAS bidding to drive profitable growth for your Google Ads campaigns.

In Google Ads, Target ROAS is a value-based Smart Bidding approach that uses your reported conversion values to set real-time bids in each auction, aiming to maximize total conversion value while hitting your ROAS goal on average over time (so individual queries can land above or below the target), which is why solid conversion-value tracking, the right “primary” conversions, enough recent data, and patience during the learning period matter as much as the target you choose. If you want a lighter way to operationalize those best practices without constantly combing through settings and performance shifts, Blobr connects to your Google Ads account and runs specialized AI agents that continuously flag measurement or efficiency issues and suggest concrete fixes—like aligning keywords to better landing pages with its landing-page agents—so you can iterate on a Target ROAS setup with clearer, steadier guardrails.

What Target ROAS is (and what it isn’t)

Target ROAS (Target Return on Ad Spend) is a value-based automated bidding strategy designed to maximize total conversion value (usually revenue) while trying to hit a specific efficiency goal you set: your ROAS target.

One important “translation” point: in many places in the Google Ads interface—especially for Search—you’ll see this packaged as Maximize conversion value with an optional Target ROAS. The bidding behavior is effectively the same idea: value-first optimization with an efficiency guardrail.

The ROAS math (so the target you set actually makes sense)

ROAS is simply conversion value divided by ad spend. In Google Ads, ROAS targets are commonly expressed as a percentage.

If you spend $1 and want $5 back in tracked conversion value, your ROAS target is:

$5 ÷ $1 × 100 = 500% Target ROAS

That does not mean every auction, keyword, product, or audience will hit 500%. It means the system will try to land your average conversion value per cost around the target over time.

How Target ROAS differs from “Maximize conversion value” (without a target)

Without a ROAS target, Maximize conversion value is typically more “budget-hungry”: it will push to spend your daily budget to get as much total conversion value as possible. Add Target ROAS, and you’re telling the system, “Don’t chase value at any cost—maintain efficiency.” In practice, that usually means you’ll trade some volume for profitability when the target is set aggressively.

How Target ROAS bidding works in the auction

At a high level, Target ROAS uses your reported conversion values (from conversion tracking) to predict the likelihood that a click (or interaction) will convert and what that conversion is likely to be worth. Based on those predictions, it sets a maximum cost-per-click (max CPC) in real time for each auction.

Why results vary by query even with one fixed target

Some auctions will come in above your target and some below it. That’s expected. The system is managing towards an average ROAS across traffic over time, not guaranteeing a fixed ROAS on every single search term, product, or user.

Auction-time signals: why it can bid differently for the same keyword

The reason Smart Bidding can outperform static bidding is that it adjusts bids using real-time context. That typically includes signals like device, location, time of day, browser, and other contextual factors, plus whether someone matches your remarketing or audience signals. In plain English: the same keyword can be “worth” very different bids depending on who’s searching and under what conditions.

Learning period and conversion delay: the two time concepts that matter most

Target ROAS needs time to calibrate after meaningful changes (new strategy, target change, conversion setting changes, or major campaign structure changes). A common calibration window is roughly up to around 50 conversion events or about 3 conversion cycles (a conversion cycle is the typical time from click to conversion for your business).

Also, because conversions don’t appear instantly, you should evaluate changes over 1–2 conversion cycles rather than reacting to a couple of days of performance. If your average click converts in 7 days, you’re usually looking at week-scale evaluation windows, not day-scale.

Prerequisites that make (or break) Target ROAS

1) You must have conversion values you trust

Target ROAS is only as good as the conversion values you feed it. If values are missing, inconsistent, or inflated, the bidding will optimize toward the wrong outcome.

For ecommerce, the ideal setup is transaction-specific (dynamic) revenue, so each purchase sends its real order value. For lead gen, you need a value model that reflects business reality—otherwise the system may optimize for “easy” leads rather than profitable ones.

2) Control which conversions it optimizes to

Target ROAS only optimizes to the conversion actions you’ve chosen to include in the core conversion reporting columns used for bidding. If you accidentally include low-value micro-conversions (like newsletter signups) alongside high-value purchases, you can unintentionally steer bidding away from profit.

A best-practice approach is to make sure your “biddable” conversions represent the outcomes you’d happily spend more money to generate.

3) Minimum data/eligibility: don’t force it too early

Most campaign types generally need a baseline level of recent conversion history to run Target ROAS effectively—commonly at least 15 conversions in the past 30 days. Some campaign types have their own rules (apps can require substantially more daily volume). The practical takeaway: if you don’t have enough recent, stable conversion value data, your results will be volatile and targets may be hard to achieve.

4) Conversion value rules (when you want “ROAS” to mean your ROAS)

If certain customers are worth more (for example, specific locations, device types, or audience segments), conversion value rules let you adjust values at bidding time with multipliers. This is especially useful when “revenue” alone doesn’t reflect true business value—like higher lifetime value regions or repeat-customer audiences.

Used well, value rules help Target ROAS optimize toward what you actually value, not just what your site records as a raw transaction amount.

5) Bid adjustments and bid limits: what still matters (and what doesn’t)

With Target ROAS, most manual bid adjustments (location, schedule, audiences, etc.) are effectively ignored because the strategy is already optimizing in real time. The notable exception is that you can still apply a -100% device adjustment if you truly need to opt out of a device entirely.

You may also see options for bid limits in some portfolio setups, but in most real accounts I manage, bid limits are a last resort. They can prevent the strategy from bidding what it needs to bid to hit your goal—especially in competitive auctions or during demand spikes.

How to set a Target ROAS that scales (instead of choking volume)

The most common Target ROAS mistake I see is setting the target based on what the business wishes it could achieve rather than what the account can realistically deliver right now. A target that’s too high usually reduces eligibility for auctions, which often shows up as lower impressions, fewer clicks, and “why did my volume disappear?” conversations.

A practical way to choose your starting target

Start with what the account has been achieving on a comparable time range and conversion mix, using the conversion value per cost metric (then multiply by 100 to express it as a percent). Just as important: avoid judging ROAS using the most recent days if you have meaningful conversion delay—those days are often incomplete.

Adjust targets with intent (and give them time)

If you need more volume, you usually lower the Target ROAS gradually to allow the strategy to enter more auctions. If you need higher efficiency, you generally raise the Target ROAS, accepting that volume may drop. After changes, allow roughly 1–2 conversion cycles before making another major adjustment, unless there’s a true business emergency.

Troubleshooting Target ROAS: a fast diagnostic checklist

When Target ROAS “isn’t working,” the root cause is usually measurement quality, conversion selection, or an unrealistic target—not the bidding algorithm itself.

  • Validate conversion values first: Are values being recorded for all primary conversions? Are they correct (no duplicates, no missing currency, no test orders, no inflated values)?
  • Confirm the right conversions are included for bidding: Ensure only the conversions you truly want to optimize toward are included in the bidding conversion columns.
  • Check whether the target is too aggressive: If volume collapsed, test a modest reduction in Target ROAS and monitor over 1–2 conversion cycles.
  • Respect conversion delay: If your sales cycle is longer, widen evaluation windows and avoid reacting to a few days of partial data.
  • Look for recent “reset” events: Major changes (targets, budgets, conversion settings, campaign structure) can extend learning—expect temporary instability.

Advanced controls: seasonality adjustments and data exclusions

Seasonality adjustments (short, predictable conversion-rate shocks)

Smart Bidding already accounts for normal seasonality, so seasonality adjustments are for the rare, material, short-term events you can predict—like a 3-day flash sale where conversion rate jumps far beyond typical patterns. They’re generally best for short events (often in the 1–7 day range) and can be less reliable if used too long (for example, beyond a couple of weeks).

Data exclusions (when conversion tracking breaks)

If your conversion tracking is broken or uploading offline conversions fails, data exclusions help reduce the damage to Smart Bidding decisions by telling the system to ignore impacted click dates. Best practice is to apply exclusions quickly, avoid using them frequently, and avoid removing them once applied. If you backfill conversions later for reporting, do it cautiously and only after allowing a short buffer period so you don’t create additional instability.