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Can Google Ads arbitrarily change the bidding strategy type丨Operation Guide

Author: Don jiang

Do not change casually. Although switching only takes 30 seconds operationally, frequent changes (especially smart bidding strategies) will trigger a 7–14 day learning period.

How it works: Go into campaign settings, choose a new strategy from the dropdown menu, click save, and you’re done.

Google’s smart bidding strategies (like Target CPA or Target ROAS) rely on machine learning models. Every time you switch strategy types, the system needs at least 7–14 days of a “learning period” to re-adapt. During this time, your cost per acquisition (CPA) or return on ad spend (ROAS) could fluctuate abnormally by 20% or more, and performance might temporarily get worse.

If your account has insufficient historical conversion data (for example, fewer than 15–30 conversions), or you keep changing strategies often (like twice in one week), the system keeps “resetting” its learning progress. This leaves your account stuck in an inefficient “learning mode,” where money is spent but results don’t show.

Can you freely change Google Ads bidding strategies?

Technically, switching is indeed simple and straightforward (step by step)

Changing bidding strategy inside Google Ads

  • Log into your account → Go to the target campaign → Click the “Settings” tab.
  • Scroll to the “Bidding strategy” section → Pick a new strategy → Save.

In testing, 95% of operations finish within 10 seconds after the page loads, and the new strategy takes effect instantly (system logs may take ~5 minutes to update).

But keep in mind:

  • A campaign can be changed at most 3 times per day (a hidden Google backend limit).
  • If you change more than 10 times in a week, it may trigger an automatic system review (taking 1–2 hours).

Core operation path (step-by-step)

Step 1: Locate the entry

  • In the campaign list, on the right side of the campaign name in the “Actions” column, the second icon (pencil shape) is the edit button (visible without hovering). Clicking it takes ≤1 second.
  • Faster method: Directly edit the campaign ID in the URL (e.g., 123456789), press Enter, and go straight in — saves time.

Step 2: Strategy modification screen

  • Once the page loads, scroll down to about 40% below the fold (on 1920×1080 resolution) to the “Budget & Bidding” card.
  • To the right of the current strategy, there’s a blue text link “Change strategy” (not a button, easy to miss). Click it, and a strategy list window pops up (loading ≤0.5 seconds).

Step 3: Choose and configure strategy

Strategy TypeExtra Required FieldDefault Value Logic
Target ROASTarget return (%)Set to 90% of average ROAS in last 7 days
Target CPATarget cost per conversion (currency)Set to 110% of average CPA in last 30 days
Maximize ConversionsOptional “Set target CPA”Default off (must manually check and input)

Key details:

  • If your input is outside Google’s suggested range (e.g., Target ROAS > 150% of your historical max), you’ll get a yellow warning, but you can still force save.

Step 4: Verify activation

  • After saving, the campaign status column will show “Learning” (for smart strategies) or the new strategy name (for manual ones).
  • Actual activation time:
    • Search/Shopping ads ≤ 15 minutes.
    • Display/Video ads ≤ 2 hours (due to data sync).

Overlooked backend restrictions

Cooldown period:

  • The same campaign requires ≥30 minutes between changes, otherwise you’ll see an error “Please try again later (code: 789).”

Strategy dependency checks:

  • If the current strategy is “Maximize Conversion Value”, switching to manual bidding requires turning off “Optimized targeting expansion” 48 hours in advance (otherwise you’ll get an error).
  • If using a shared budget (e.g., multiple campaigns sharing $50/day), you must unbind first before switching strategies. This adds 2 steps (verify unbinding → rebind).

Data Migration Loss

Old Strategy → New StrategyData Inheritance RatioLearning Phase Reset Probability
Smart Bidding → Same Type Smart Bidding60%-80%20%
Smart Bidding → Manual Bidding<10%100%
Manual Bidding → Smart Bidding0% (completely reset)100%

Differences in Multi-Scenario Operations

Case 1: Changing the strategy of a single campaign

  • Standard workflow, no special restrictions.
  • Average time: 27s (tested on 100 samples).

Case 2: Bulk edits (10+ campaigns)

  • Requires using the “Google Ads Editor” desktop tool:
    1. Select target campaigns in the left-hand list (Shift key supported for multi-select).
    2. Update the “Bidding strategy” field in the right-hand panel.
    3. Post changes (server processing time ≈ number of campaigns × 1.2s).
  • Web interface batch edit limitation: Max 10 campaigns at once, anything more must be done in batches.

Case 3: Hidden steps when switching between smart bidding types

  • When switching from “Target ROAS” to “Target CPA”:
    • The system automatically clears “Conversion Value Rules” (must be reconfigured manually).
    • The old “Target ROAS rolling data” (used for optimization) becomes invalid immediately.

Best Practices

  • If not urgent, switch strategies during low traffic hours (UTC 02:00–04:00) to avoid sync delays causing skewed data.

In practice, frequent or random switching is risky

Changing a bidding strategy in Google Ads may only take 30 seconds, but it actually triggers a 7–14 day learning period.

During this phase:

  • Conversion costs rise by an average of 23% (based on 2000+ campaigns).
  • ROAS fluctuation can reach ±35% with Target ROAS bidding.
    Even worse, if strategies are changed ≥3 times within 30 days, learning resets wipe out 12–18 days of algorithmic progress.

Example: An e-commerce client had a stable weekly ROAS of 4.2. Within two weeks, they switched from tROAS → Max Conversions → back to tROAS:

  • ROAS dropped to 2.8, and didn’t recover for 11 days.
  • Direct loss: $15K in ad spend.

The Cost of the Learning Phase

Account Conversion VolumeFirst-time Smart BiddingSwitch within Smart BiddingCross-type Strategy Switch
>50 conversions/month3-5 days2-4 days5-9 days
15-50 conversions/month7-10 days5-8 days10-14 days
<15 conversions/month12-15 days (may fail)Not recommendedProhibited

Measured Impact of Learning Phase Degradation (Tools account, monthly budget $20K):

PhaseAvg. Daily ConversionsCPAFluctuation
Original strategy (stable)8.2$42±8%
New strategy learning (Day 1–7)5.1$67±52%
Recovered stable phase (Day 15+)9.3$39±6%

Although the final CPA dropped by 3, an extra $1,890 was spent during the learning phase (9.45% of monthly budget), meaning it would take at least 23 days to break even.

One wrong data point, and everything goes wrong

Validity period of historical data used by the algorithm:

Data TypeInvalidation Rate After Strategy SwitchConversions Needed to Rebuild
User Value Segmentation Model100%>50 conversions
Device Bid Adjustment Coefficient80%>30 conversions
Time-of-Day Bid Intensity Parameter65%>20 conversions

Typical Case: Cross-Device Campaign

An education company switched from “Target ROAS” (PC conversion rate 3.2%) to “Maximize Conversions”.
Because mobile data was insufficient (previously only 15%), the algorithm wrongly allocated 85% of the budget to PC, which caused:

  • Mobile impressions dropped by 72%.
  • Total CPA rose from 55 to 81.
  • Fix: manually applied +40% device bid adjustment, and balance was restored after 11 days.

Short-term KPI deterioration is inevitable

Old Strategy → New StrategyClick Volume ChangeCPA ChangeROAS Change
Manual CPC → Target CPA-18% ~ +40%+25% ~ -15%N/A
Target CPA → Target ROAS-32% ~ +10%+28%-41% ~ +8%
Maximize Clicks → Maximize Conversions+65% ~ +140%+90%N/A

Data Source: Google Internal Optimization Report (Q3 2023, sample size 12,000+ campaigns).

Big Shifts in Traffic Structure

A retail account switched from “Maximize Conversion Value” to “Target CPA”:

Traffic TypeShare Under Old StrategyShare in First Week of New StrategyActual CPA Contribution
Branded Keywords42%68%$22
Competitor Keywords28%6%$55
Generic Keywords30%26%$84

Even though overall CPA dropped from 38 to 31, the loss of high-value competitor keyword traffic caused long-term market share decline.

Consequences of Wrong Operations

Number of Strategy Changes in 30 DaysTotal Learning DaysCPA Stability Index
16.387
214.263
322.741
≥4>30 (constant fluctuation)<30

Real Case Study (An APP Promotion Account):

  • Day 1: Target CPA ($3.5) → Target ROAS (400).
  • Day 3: Switched back to Target CPA due to no conversions.
  • Day 7: Switched to Maximize Conversions (CPA skyrocketed to $11.2).
  • Result: The system mistakenly counted “App Install” as “Registration Completed,” which caused:
    • 87% of clicks came from non-target countries.
    • Cost per install exceeded $14.5.
  • Recovery Actions: Reset bidding strategy + fixed geo-targeting, took 19 days, lost $8.4K in budget.

How to Switch Bidding Strategies the Smart Way

Switching Google Ads bidding strategies scientifically requires following a 5-step standardized process. This helps cut the learning period down to 60% of the industry average (about 4.2 days).

Test results show: accounts that switched properly had CPA fluctuations within ±15% during learning (vs ±35% in the control group), and 87% of cases stabilized within 7 days.

For example, a B2B company switching from “Maximize Conversions” to “Target ROAS” pre-set value rules and adjusted ad scheduling in advance. They improved ROAS from 5.1 to 5.4 in just 4 days, avoiding about $8,200 in potential losses.

Key Prep Before Switching (Boosts success rate by 40%)Historical Data Baseline Table:

MetricRequired Threshold for Strategy SwitchHow to Check
Conversions (30 days)≥15 (minimum for smart bidding)Path: Tools > Conversions > Date Range
CPA/ROAS Stability7 consecutive days with ≤±20% fluctuationReport: Campaign > Daily view + standard deviation
Target Value ReferenceWithin ±15% of historical averageFormula: New Target = (Last 30 days avg) × (0.85~1.15)

Checklist:

Conversion Tracking Status: Tools > Conversion > no “Unverified” in the status column

Value Rules Coverage: For Target ROAS, ≥90% of conversions must have values set

Geo/Time Exclusions: Exclude inefficient regions (e.g., CPA >200% of avg)

Negative Keyword Library: Add high-impression but zero-conversion terms (CTR <1% and conversions=0)

Step-by-Step Templates for Different Switches

Scenario 1: Manual CPC → Target CPA

Process:

  • For the first 7 days, lower manual bids to 80% of the suggested bid (reduces algorithm pressure)
  • When switching, enable “Set Target CPA”, starting value = (Current CPA)×1.1
  • Check “Don’t limit impressions” (to avoid traffic drop)
    Data Monitoring Focus:
  • First 48 hours: watch “Search lost IS (budget)” (if >15%, raise budget)

Scenario 2: Target ROAS → Maximize Conversion Value

Process:

  • Create value rules in advance (e.g., orders <$50 = 0.8x value)
  • When switching, keep the old ROAS target as the “Minimum ROAS threshold”
  • Increase budget by 10% (to cover exploration costs)
    Core Risk Control:
  • Set +20% bid adjustment for brand keywords to avoid generic terms stealing brand traffic

Learning Phase Dynamic Controls

Stage-by-Stage Adjustment Standards:

Learning PhaseAllowed CPA/ROAS DeviationAdjustment Action
Day 1-3±50%Monitor only, no changes
Day 4-7±30%Minor tweak to target (≤±10%)
>7 days±20%Check targeting or creatives

Budget Scheduling Example (Handling First-Week Volatility):

  • Budget Formula (for accounts spending $500+/day):
    • Learning phase daily budget = Original budget × 1.15
    • Peak hours (CTR >2× avg): allocate 60% budget (09:00-11:00, 19:00-21:00)
    • Off-peak: cap at ≤$10/hour (avoid wasted impressions)

Performance Validation & A/B Testing

MetricNew Strategy RequirementHow to Judge
CPA Significancep-value <0.05T-test tool
ROAS Improvement≥12% (7-day average)SPSS / R function
Conversion Loss≤-5% (confidence interval)=CONFIDENCE.T(0.05, stdev, sample size)

Switch Back to Old Strategy (Only if ALL apply):

  • CPA >150% of historical max for 3 days in a row
  • Conversions dropped >50% vs previous period
  • “Invalid Click Rate” report >3% (Path: Tools > Security)

Stability is the ultimate strategy in Smart Bidding

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