Maximize Conversions tries to produce the greatest number of conversions within your budget. Maximize Conversion Value tries to produce the greatest total conversion value within your budget.
That one-word difference, value, changes what Google Ads is asked to predict and prioritize.
If every conversion action represents a similar business outcome, Maximize Conversions is often the cleaner objective. If lead quality, deal size, margin, or customer value varies materially, and your tracking reports those differences, Maximize Conversion Value can align bidding more closely with the business.
The decision is not “basic bidding versus advanced bidding.” It is whether your conversion data can support a value objective.
Maximize Conversions vs Maximize Conversion Value at a glance
| Decision factor | Maximize Conversions | Maximize Conversion Value |
|---|---|---|
| Optimizes for | Number of conversions | Sum of reported conversion value |
| Budget behavior | Aims to spend the budget for maximum conversion volume | Aims to spend the budget for maximum conversion value |
| Best fit | Conversions have similar value | Conversions have meaningfully different values |
| Required signal | Reliable conversion tracking | Reliable tracking plus differentiated values |
| Main reporting lens | Conversions, CPA, qualified conversion rate | Conversion value, value/cost, qualified value, downstream economics |
| Optional efficiency control | Use Target CPA instead | Use Target ROAS instead |
| Common lead-gen failure | Counts weak and strong leads equally | Optimizes toward arbitrary or inaccurate values |
Google’s current bid-strategy guide defines the same split: use Maximize Conversions for the most conversions within a fixed budget and Maximize Conversion Value for the most value within a fixed budget.
What Maximize Conversions actually optimizes
Maximize Conversions uses auction-time signals to set bids toward the conversion actions included in the campaign’s bidding goal. It does not independently know that a booked estimate is more useful than an existing-customer support call unless your goal configuration distinguishes them.
Imagine a home-services campaign produces these results:
| Outcome | Count |
|---|---|
| Qualified new-customer calls | 20 |
| Existing-customer calls | 15 |
| Wrong-service calls | 10 |
| Total recorded calls | 45 |
If all 45 calls use one primary Phone Call conversion action, a conversion-volume strategy sees 45 successes. It can learn which auctions are likely to produce another recorded call, but the conversion definition gives it no direct instruction to prefer the 20 qualified opportunities.
That is a measurement problem before it is a bidding problem.
Maximize Conversions is a sound choice when:
- One primary conversion action closely represents the business outcome you want.
- Different conversions have comparable economic value.
- Downstream value data is not reliable enough to use for bidding.
- The immediate priority is maximum qualified conversion volume within a controlled budget.
What Maximize Conversion Value actually optimizes
Maximize Conversion Value uses the values reported with conversions to predict and pursue the greatest total value. Google says it can use transaction-specific values when each sale or lead is worth a different amount; see its explanation of conversion values.
Using the same 45 calls, suppose the advertiser reports:
| Outcome | Count | Value per outcome | Total value |
|---|---|---|---|
| Strong qualified call | 8 | $300 | $2,400 |
| Other qualified call | 12 | $150 | $1,800 |
| Existing customer | 15 | $10 | $150 |
| Wrong service or spam | 10 | $0 | $0 |
| Total | 45 | N/A | $4,350 |
The values create a ranking signal that raw count did not contain. The strategy can now distinguish a portfolio of calls worth $4,350 from another set of 45 calls worth much less.
Those values do not need to be literal revenue. They can be estimated economic values or carefully designed proxy values, provided they are consistent and reflect real differences. Our value-based bidding guide for lead generation shows how to calculate them.
Maximize Conversion Value is a better candidate when:
- Qualified and unqualified leads currently look identical in Google Ads.
- Lead stages have measurably different close rates or economics.
- Transaction size, service line, margin, or lifetime value varies.
- Values are returned consistently and within a useful conversion window.
- The campaign receives at least two meaningfully differentiated values.
Google recommends that Search and Shopping advertisers who recently began reporting values, or materially changed them, include the new values in the Conversions column and wait four weeks or three conversion cycles before adopting Maximize Conversion Value. That guidance appears in Google’s Maximize Conversion Value documentation.
The lead-generation decision test
Ask these questions in order.
1. Is the conversion being counted a real success?
If bidding currently includes page views, button clicks, every form submission, and every call, fix the goal before changing the strategy.
Google treats primary conversion actions as biddable when their standard goal is used by the campaign. Secondary actions are normally observation-only and appear in All conversions. Review the exact behavior in Google’s primary and secondary conversion-action guide, especially if you use custom goals.
2. Does value vary enough to change a bidding decision?
If almost every valid conversion leads to the same economics, adding a complicated value model may create noise without changing priorities. Stay with a conversion objective and improve the qualification of the conversion itself.
If one lead type is worth five times another, treating them equally can misallocate spend. That is a strong case for values.
3. Can you report the difference reliably?
A rough but stable model is more useful than a detailed model that is updated sporadically. Verify:
- Coverage: what percentage of eligible leads receives an outcome and value?
- Delay: how long after the click or call is the value available?
- Consistency: do teams and locations classify the same outcome the same way?
- Deduplication: can a single lead be counted at multiple stages unintentionally?
- Attribution: can the outcome be connected to the original ad interaction?
For phone-led businesses, CallRail can send post-call data such as the recording and tracking number to LeadUp through a webhook. LeadUp creates its own transcript and summary, qualifies and scores the lead, and applies a relative proxy value. You can set base values for first-time and repeat callers and for good and bad leads, add a configurable value per rating star, choose which lead types to push, and adjust a pushed value manually when needed. See the LeadUp conversion tracking workflow.
4. Is the budget truly constrained?
Both maximize strategies are designed to pursue their objective within the available budget and may try to spend it. If the current campaign spends far below its daily budget, switching can change spend materially. Validate budget, targeting, and measurement before launch.
If you need an explicit efficiency guardrail, compare Target CPA vs Target ROAS instead of treating the two unconstrained maximize strategies as your only choices.
Four scenarios and the likely choice
Scenario 1: One well-qualified form action
A B2B company bids only on a Sales Accepted Lead action. Lead values do not vary much, and sales reliably updates the action.
Likely starting point: Maximize Conversions. The conversion definition already does much of the quality filtering.
Scenario 2: Calls range from spam to booked appointments
A law firm records every ad-driven call as the same conversion. Some calls are viable new matters, while others are vendors, existing clients, wrong jurisdictions, or poor fits.
First step: classify calls and send qualified outcomes. Potential next step: Maximize Conversion Value once differentiated values are stable.
Scenario 3: Service lines have different economics
A contractor generates both small repair calls and high-value replacement opportunities. Both are legitimate leads, but their expected gross profit differs significantly.
Likely candidate: Maximize Conversion Value using expected contribution values instead of top-line project revenue, if those values are available consistently.
Scenario 4: Values are mostly guesses
An agency assigns $10, $50, and $100 based on form fields that do not correlate with qualified or closed business.
Likely starting point: Maximize Conversions against the cleanest qualified action. Validate the value model before asking bidding to use it.
How to switch without contaminating the test
Phase 1: repair the goal
- List every conversion action included in campaign bidding.
- Move diagnostic micro-conversions out of the bidding goal.
- Check count settings, attribution, conversion windows, and duplicate stages.
- Segment reports by conversion action to confirm what the headline total contains.
Phase 2: run values in observation
- Define the value hierarchy and owner.
- Begin reporting differentiated values without changing bids immediately.
- Compare reported value with qualified leads, appointments, sales, and margin.
- Monitor missing values, unexpected zeros, sudden mix changes, and upload delay.
Phase 3: test the bidding objective
Use a Google Ads campaign experiment where the campaign type and traffic support a clean test. Keep budgets, creative, targeting, and conversion goals stable enough to isolate the bidding change. Judge the test after enough conversion cycles, not after a few days.
Track:
- Qualified leads and qualified-lead rate
- Total conversion value and value/cost
- Cost per qualified lead
- Booked or accepted opportunities
- Revenue or expected gross profit, where available
- Spend and volume shifts by campaign, query, location, and device
The winning strategy is the one that improves the business outcome, not necessarily the one with the best platform CPA or the highest number in the conversion-value column.
Common mistakes
- Switching before values are stable: the strategy learns from partial or changing labels.
- Giving every action a different arbitrary value: complexity is not the same as information.
- Keeping weak actions primary: high-value bidding cannot rescue a polluted goal set.
- Using revenue where margin varies: high-revenue leads can still be economically weak.
- Ignoring value delay: the newest date range may look worse because later-stage values have not arrived.
- Reading ROAS as cash return: proxy lead values create a useful index, but value/cost is not financial ROAS unless the values represent revenue or profit.
- Changing the goal and bidding strategy together: you lose the ability to explain the result.
Frequently asked questions
Is Maximize Conversion Value only for ecommerce?
No. It can be used for lead generation when you report meaningful values for different leads or lead stages. The hard part is creating and maintaining the value signal.
Does Maximize Conversion Value require Target ROAS?
No. Maximize Conversion Value pursues the most reported value within budget without a target. Target ROAS adds a return constraint.
Can I use the same value for every conversion?
You can, but it removes most of the distinction between optimizing for count and value. If every conversion has a value of 100, ten conversions always equal 1,000 regardless of quality.
Which strategy is better for calls from Google Ads?
Use Maximize Conversions if the biddable call action already represents a consistent, qualified outcome. Consider Maximize Conversion Value when phone-lead quality varies and your CallRail or offline conversion workflow sends reliable differentiated values.
Bottom line
Choose Maximize Conversions when success is well-defined and each conversion is worth roughly the same. Choose Maximize Conversion Value when business outcomes vary and your tracking makes those differences visible.
For lead generation, the bidding menu is rarely the first fix. Start by teaching Google Ads which calls and forms became meaningful opportunities. Then choose the strategy that matches the signal you can actually trust.