If you create a new conversion action in Google Ads, you now have to make an explicit choice about conversion value. That sounds like a small interface change, but it has practical consequences for how accounts are configured, how performance is measured, and how automated bidding interprets your business goals.
For some advertisers, this change will barely alter day-to-day management. For others, it will expose a deeper issue: they have been tracking conversions without clearly telling Google what those conversions are worth.
That matters because Google Ads does not optimize around business value by instinct. It optimizes around the signals you provide. If every conversion is treated the same, the system will behave as if every conversion is equally valuable. If some leads are worth more, some sales have higher margins, or some inquiries close at a better rate, your setup needs to reflect that.
The new requirement makes that choice harder to ignore. Even if you do not want to pass revenue or lead value into the platform, you still need to define what happens at the conversion-action level. In many cases, that means choosing a fixed value, assigning dynamic transaction-specific values, or explicitly setting the default value to 0.
This is where many accounts get into trouble. Advertisers often assume that “adding a value” means they must invent revenue numbers for every action. That is not the case. The better question is simpler: what signal should this conversion send to the platform, and is that signal accurate enough to support reporting and bidding?
This guide explains what changed, why Google Ads now requires a conversion value for new conversion actions, how to choose the right value setting for different business models, when using 0 is appropriate, and how this decision affects Smart Bidding, ROAS strategies, reporting, and long-term account quality.
What Changed in Google Ads
The immediate change is straightforward: when you create a new conversion action, Google Ads now requires you to select a value option instead of leaving that field undefined.
Previously, many advertisers effectively skipped the decision. They set up the conversion, focused on the event itself, and moved on. Now the platform forces a clearer configuration path. You have to decide whether:
- each conversion has the same value,
- different conversions have different values,
- or the conversion should default to a value of 0.
That last option matters more than it may seem. If you do not want to send value data, you can still create the action, but you are now making an explicit statement that the conversion carries no assigned value in the platform.
The real significance of the change is not that Google added one extra required field. It is that Google is making value definition part of baseline conversion setup. In other words, value is no longer treated as an optional advanced feature for sophisticated advertisers. It is being framed as a standard measurement choice.
That aligns with the direction of modern Google Ads management. More bidding strategies rely on value. More reporting is organized around value. More account structure decisions work better when the platform understands not just whether something happened, but what it was worth.
What Conversion Value Actually Means in Google Ads
A conversion value is the numerical worth assigned to a completed action. In ecommerce, that value is often actual revenue from a purchase. In lead generation, it may be an estimated lead value based on close rate, average deal size, or sales-qualified pipeline contribution. In local service campaigns, it may reflect the relative worth of a phone call, booked appointment, or form submission.
The important point is that conversion value does not have to equal booked revenue in every account. It needs to represent business value in a way that supports better measurement and smarter optimization.
That means different advertisers can use conversion values in different ways:
- An ecommerce brand may pass actual cart revenue for every purchase.
- A B2B company may assign one value to a demo request and another to a pricing-request form.
- A SaaS company may assign different values to a free trial, qualified demo, and paid subscription.
- A local service business may use fixed values for calls longer than a threshold versus basic contact forms.
- A retailer may later refine reported values using offline conversion imports or conversion value rules.
What matters is internal logic and consistency. If the values are arbitrary, unstable, or disconnected from actual business outcomes, they can mislead both reporting and bidding.
Why This Change Matters More Than It Looks
On the surface, forcing advertisers to select a value setting seems administrative. In practice, it touches four important areas: reporting clarity, bid strategy quality, conversion prioritization, and measurement discipline.
The first impact is reporting clarity. When values are set intentionally, your account can separate low-value actions from high-value ones. That gives marketers a better read on which campaigns, search terms, audiences, and devices are driving worthwhile outcomes instead of just activity.
The second impact is bidding quality. Value-based strategies such as Maximize Conversion Value and Target ROAS need value data to work as intended. Even accounts that are not yet using those strategies may move there later. If the foundation is weak, the transition becomes messy.
The third impact is prioritization. Many accounts overvalue volume and undervalue quality. Ten weak leads can look better than three strong leads if the setup only counts totals. Once values are introduced properly, performance analysis becomes more commercially meaningful.
The fourth impact is discipline. Requiring a value forces advertisers to confront a basic measurement question they may have postponed: what is this conversion actually worth to the business?
That is useful. Not because every business has a perfect answer, but because many accounts perform worse when no answer is defined at all.
Which Advertisers Are Most Affected
Not every advertiser will feel this change equally.
Ecommerce advertisers are usually the least disrupted, assuming purchase tracking already sends dynamic revenue values. For them, the requirement mostly reinforces an existing best practice.
Lead generation advertisers are the most likely to run into problems, because lead values are rarely as obvious as purchase revenue. A form fill is not automatically equal to closed revenue, and different lead sources often vary significantly in quality.
B2B advertisers with longer sales cycles are also strongly affected. If your account tracks only front-end leads with identical values, then Google may optimize toward the cheapest volume rather than the leads most likely to become pipeline.
Multi-location businesses should pay attention too. A lead in one geography may be worth more than the same lead in another location due to service mix, close rate, seasonality, or average contract value.
Businesses with multiple conversion actions are another group to watch. If you track phone calls, forms, bookings, downloads, chat starts, and purchases in the same account, the way values are assigned can strongly influence what bidding systems prioritize.
Does Every Conversion Need a Positive Value?
No. And that is one of the most important practical points in this discussion.
A conversion does not need a positive value just because Google now requires a value setting choice. Sometimes 0 is the correct answer.
If a conversion is being tracked for visibility but should not influence value-based optimization, setting the default value to 0 can be appropriate. That is especially true when:
- the action is informational but not commercially meaningful on its own,
- the action is too noisy to represent business value,
- the conversion is secondary for observation rather than bidding,
- or the advertiser does not yet have a defensible method for assigning value.
What you want to avoid is using made-up values that look precise but have no operational basis. A bad value model can be worse than a zero-value setup, because it teaches the platform the wrong lesson.
That said, there is a difference between “we are not ready to model value yet” and “we will never model value.” For many accounts, setting 0 is a temporary step while measurement matures.
When to Set Conversion Value to 0
Using 0 is sensible in more situations than many advertisers realize.
The clearest case is when you need to track an action but do not want that action treated as revenue or economic value. Examples include newsletter sign-ups, page-depth milestones, basic PDF downloads, or lightweight engagement events that help diagnose user behavior but do not represent meaningful business outcomes.
A second case is early-stage lead generation accounts that have not yet tied lead types to sales outcomes. If every inbound inquiry is currently tracked, but the business has no reliable data on close rate by source, using 0 for less important events may be safer than assigning random numbers.
A third case is technical migration. During a transition from old conversion tracking to a cleaner framework, an advertiser may create new actions for testing or parallel measurement. In that case, a temporary 0-value setting can prevent distorted value reporting.
A fourth case is when a conversion action is marked as secondary or monitored for diagnostics rather than optimization. Not every tracked event deserves to influence bid strategy logic.
However, setting value to 0 should not become a default habit. If the conversion is genuinely important and can be tied to business outcomes, it deserves a serious valuation model.
When to Use a Fixed Value
A fixed value works best when each occurrence of a conversion action is broadly similar in business importance.
This is common in lead generation, especially when a single action represents a consistent step in the funnel. For example:
- a qualified consultation request,
- a booked service appointment,
- a financing application,
- or a phone call that meets clear quality criteria.
A fixed value is also useful when you want to distinguish between conversion actions that are different by intent. A pricing-request form may deserve a higher value than a general contact form. A demo booking may be worth more than a whitepaper download. A repeat-purchase lead may be different from a new-customer inquiry.
The advantage of fixed values is simplicity. They are easy to implement, easy to audit, and often good enough for advertisers who need directional accuracy without complex integrations.
The limitation is that fixed values smooth over differences within the same action type. Not all demos are equally valuable. Not all form submissions close at the same rate. Over time, more advanced advertisers often graduate from fixed values to imported offline values or transaction-specific dynamic values.
When to Use Dynamic or Transaction-Specific Values
Dynamic values are the right choice when the value of each conversion varies materially from one transaction to another.
That is standard practice in ecommerce. If one purchase is worth $45 and another is worth $450, the platform should know that. Treating those sales equally would flatten the signal and weaken optimization.
Dynamic values are also increasingly relevant in lead generation and hybrid models. If your CRM can feed back actual deal value, qualified pipeline value, or weighted lead value, then Google Ads can optimize on a much more commercially accurate basis.
Dynamic values are particularly strong for:
- ecommerce stores with varied average order values,
- B2B advertisers importing offline opportunity stages,
- high-ticket services where initial conversions vary greatly in downstream worth,
- subscription businesses that distinguish trial quality or projected lifetime value,
- and retailers or service providers using transaction IDs and conversion adjustments.
The biggest risk with dynamic values is implementation quality. If the tracking is inconsistent, duplicated, rounded badly, missing currency logic, or disconnected from the final conversion event, the data can become noisy fast. Dynamic does not automatically mean better. It means better only when the pipeline is reliable.
How to Decide What Value to Assign
The right value model depends on how your business makes money, how clean your data is, and how advanced your measurement stack is.
A simple way to approach it is to ask four questions.
First, does this conversion directly generate revenue? If yes, dynamic transaction value is usually best.
Second, if it does not directly generate revenue, does it represent a consistent commercial step in the funnel? If yes, a fixed value may work.
Third, do different instances of the same conversion action vary significantly in downstream worth? If yes, you may need CRM integration, offline conversion imports, or at least segmented conversion actions.
Fourth, is there enough evidence to support the value you assign? If no, use a more conservative model until your measurement is stronger.
In practice, many strong accounts start with a simple fixed-value system and improve it over time. That is usually better than waiting indefinitely for a perfect attribution model.
Practical Value Models by Business Type
Ecommerce in Google Ads
For ecommerce, the preferred approach is straightforward: pass actual purchase revenue dynamically. If margins vary widely across products, some businesses go further by modeling profit or contribution margin rather than gross revenue, but that takes more infrastructure.
If you also track softer actions like add-to-cart or email capture, be careful. Those actions may be helpful for observation, but they should not crowd out purchase value in optimization logic unless you have a clear reason to weight them.
Lead Generation in Google Ads
Lead generation is where disciplined value setting makes the biggest difference.
Suppose the average closed customer is worth $8,000 in gross revenue and 10% of demo requests become customers. The expected revenue per demo request would be $800. That does not mean every demo is actually worth $800 in realized revenue, but it gives you a rational expected-value estimate for bidding and reporting.
You can get more precise by splitting actions. For example:
- eBook download: low value
- contact form: medium value
- booked consultation: higher value
- qualified phone call: higher value
- sales-qualified lead imported offline: highest value before sale
This creates a better ladder of intent than assigning the same number to every lead.
B2B and Long Sales Cycles in Google Ads
B2B advertisers often need a staged approach. Early events such as form fills or demo requests can use fixed expected values initially. Later, the account should import offline conversion stages such as MQL, SQL, opportunity, or closed-won value where possible.
This matters because front-end lead volume can be misleading. If your account drives many low-fit inquiries, simple conversion counts may look healthy while sales teams see poor pipeline quality.
A staged value framework lets Google Ads learn which traffic patterns correlate with outcomes that matter downstream.
Local Services and Call-Driven Accounts in Google Ads
Local service advertisers should think beyond raw call counts. A 5-second accidental call and a 4-minute service inquiry are not the same.
If your call-tracking system can segment by duration, source, or booking outcome, you can assign more meaningful values. If not, fixed values tied to qualified call thresholds can still improve the signal.
Appointment bookings, estimate requests, and emergency-service calls may also deserve separate conversion actions with different values.
Subscription and SaaS Models in Google Ads
SaaS advertisers often track trials, demos, and paid starts. Those should not all share the same value unless their business outcomes are truly similar.
A cleaner model may assign:
- a modest value to free-trial starts,
- a higher value to sales-assisted demo bookings,
- a stronger value to activated users,
- and the highest value to paid subscriptions or imported revenue events.
If customer lifetime value varies by plan type or segment, imported offline values can eventually outperform static estimates.
How This Affects Smart Bidding in Google Ads
Conversion value settings matter most when Smart Bidding is involved.
Maximize Conversions tells Google to get as many conversions as possible within budget. It does not care whether some conversions are better than others unless your structure or values indirectly signal that.
Maximize Conversion Value tells Google to maximize the total value generated. If your values are meaningful, that can move spend toward better users, better queries, better products, and better conversion mixes.
Target ROAS goes one step further by asking Google not just to maximize value, but to do so at a target level of efficiency.
This is where poor value setups become expensive. If the values are inaccurate, the strategy may confidently optimize toward the wrong thing. An account can look efficient in-platform while becoming less profitable in the business.
The recent requirement does not force every advertiser into value-based bidding immediately, but it does make future readiness more important. Once your values are modeled properly, moving to Maximize Conversion Value or Target ROAS becomes much more viable.
Why Lead Quality Often Improves When Values Improve
One of the most common patterns in PPC management is this: an account hits cost-per-lead goals, but the sales team says the leads are weak.
That often happens because the platform is solving the wrong problem. If all conversions are equal, then Google will naturally pursue the easiest ones to generate. Easy is not always profitable.
When values are assigned with real business logic, the optimization goal changes. The system no longer sees a low-intent form completion and a sales-ready inquiry as equivalent. That tends to improve traffic quality, not because the platform suddenly became smarter on its own, but because the advertiser provided a better training signal.
This is especially important for businesses with mixed-intent traffic, broad match reach, Performance Max dependencies, or long buyer journeys.
Common Mistakes to Avoid
Treating Every Conversion the Same in Google Ads
If purchases, demo requests, downloads, and contact forms all carry the same assigned value, the account may flatten very different user intents into one signal. That usually weakens both reporting and bidding.
Using Random Placeholder Numbers in Google Ads
Many accounts use values like 1, 10, or 100 simply to satisfy setup requirements. That is acceptable only if the numbers preserve real relative importance. If they are arbitrary and misleading, they create false precision.
Confusing Value With Revenue in Google Ads
Value can be revenue, but it can also be predicted revenue, profit-weighted revenue, expected lead value, or another rational business proxy. The key is consistency and evidence.
Sending Low-Quality Events Into Primary Optimization in Google Ads
If low-intent actions are counted as primary conversions with positive values, bidding may shift toward those easier actions and away from commercially stronger outcomes.
Ignoring Offline Outcomes in Google Ads
For many service and B2B advertisers, the true value is known only after the lead moves through CRM stages. If that data never comes back into Google Ads, optimization remains stuck at the shallowest layer.
Changing Value Logic Too Frequently in Google Ads
Frequent, inconsistent value resets make trend analysis difficult and can destabilize bid strategy learning. Adjust carefully and document every change.
How to Set the Right Value in Practice
A useful workflow looks like this.
Start by listing every conversion action currently tracked in the account. Then label each one as one of three types: direct revenue, high-intent lead action, or secondary/diagnostic action.
Next, identify which actions should be primary optimization goals and which should remain observational. Not everything belongs in the main bidding signal.
Then assign the simplest defensible value model:
- actual dynamic value for direct revenue actions,
- fixed expected value for commercially meaningful lead actions,
- 0 for secondary or non-economic actions where appropriate.
After that, review how values align with campaign goals. If a campaign is meant to generate booked consultations, but the conversion model gives similar weight to lower-intent actions, fix that before changing bid strategies.
Finally, create a process for refinement. Value models are not one-time decisions. They improve when connected to sales data, margin data, close-rate data, and more mature attribution.
Where Conversion Value Rules Fit
Conversion value rules let advertisers adjust values based on factors such as audience, device, or geography. These are not a substitute for core conversion value setup. They are a refinement layer.
For example, if leads from one region close at a higher rate, or if existing customers have stronger repeat-order behavior, value rules can help reflect that difference. They are useful when business reality varies by segment in ways not already captured in your base tracking.
The key is not to overcomplicate things too early. First get the primary conversion values right. Then add value rules only where you have a clear, evidence-based case.
The Link Between Conversion Values and Reporting Quality
Even advertisers who are not using Target ROAS should care about this change because value settings shape account analysis.
Once values are meaningful, you can review campaigns in a more commercially useful way. A campaign that drives fewer total conversions may still be superior if it generates higher total value or stronger value per cost. Search terms that look expensive on a CPL basis may prove efficient on a value basis. Device and location reports often become more actionable too.
This is where strong PPC management becomes less about counting actions and more about understanding business outcomes.
What Advertisers Should Do Next
If your account is already using clean dynamic revenue or carefully modeled lead values, this update is mostly a reminder to maintain standards.
If your account has been tracking conversions without a real value framework, treat this as a prompt to clean up the foundation.
Review every primary conversion action. Ask what that action is worth, whether the answer is evidence-based, and whether the signal is good enough to train automated bidding. Use 0 when that is the honest answer. Use fixed values when expected-value logic is strong. Use dynamic values when transaction or CRM data supports them.
The accounts that benefit most from Google Ads automation are usually not the ones with the most campaigns or the biggest budgets. They are the ones with the clearest measurement.
A required field in the interface will not improve performance on its own. But if it pushes advertisers to define value more carefully, it can lead to better reporting, cleaner optimization, and decisions that line up more closely with actual business outcomes.
Detailed FAQ About Required Conversion Values in Google Ads
1. Does Google Ads now require a conversion value for every new conversion action?
Yes. When creating a new conversion action, you now need to choose a value setting rather than leaving it undefined. That does not mean every conversion must have a positive business value, but it does mean you must decide how value is handled.
2. If I do not want to send revenue, what should I do?
Set the default value to 0 if that conversion should not carry economic value in reporting or bidding. That is usually better than inventing a number without any business basis.
3. Is setting the value to 0 bad for optimization?
Not necessarily. It depends on the role of that conversion. If the conversion is secondary, diagnostic, or not suitable for value-based optimization, 0 can be the correct choice. It becomes a problem only when a truly important commercial action is left at 0 because measurement was never properly set up.
4. Does this change affect old conversion actions too?
The requirement is most visible during creation of new conversion actions. Existing actions may continue with their existing settings, but advertisers should still audit them. A weak historical setup can limit future performance even if the interface change applies mainly to new actions.
5. What is the difference between a fixed value and a dynamic value?
A fixed value gives every occurrence of a conversion action the same assigned worth. A dynamic value changes per conversion, such as actual purchase revenue or imported lead value from a CRM.
6. Which is better for lead generation: fixed or dynamic values?
For many lead-gen advertisers, fixed values are the right starting point because they are easier to implement and audit. Dynamic values are stronger when CRM integration or offline conversion imports can reliably pass back quality or revenue data.
7. How do I calculate a lead value if I do not sell online?
A common method is expected value. Multiply average customer value by close rate for that lead type. If different lead types close at different rates, assign different fixed values by conversion action.
8. Should every lead type have the same value?
Usually not. A pricing request, demo booking, and general contact form often represent different intent levels. If they all receive the same value, the account may optimize toward lower-quality lead volume.
9. Can I use simple placeholder values like 1, 5, and 10?
You can, but only if they preserve meaningful relative differences. If those numbers are arbitrary and do not reflect actual business priority, they may distort optimization.
10. Is conversion value the same as revenue?
No. Revenue is one form of conversion value. In many accounts, especially lead generation and B2B, conversion value is an estimated or expected business value rather than realized revenue.
11. How does this affect Maximize Conversion Value?
Maximize Conversion Value uses your assigned values to decide which auctions are worth more. If your values are strong, the strategy can prioritize better outcomes. If your values are weak, the strategy may optimize toward the wrong signals.
12. Do I need Target ROAS to use conversion values?
No. You can assign and report conversion values without using Target ROAS. However, value-based bidding strategies become much more useful when value data is accurate.
13. Is Maximize Conversion Value always better than Maximize Conversions?
No. It depends on the account. If all meaningful conversions are genuinely similar in value, Maximize Conversions may be fine. If conversion quality varies a lot, Maximize Conversion Value is often more appropriate once the data foundation is ready.
14. Can low-value conversions hurt account performance?
Yes, especially if they are included as primary conversions with positive values and the bidding system learns to chase them because they are easier or cheaper to generate.
15. What if I track several micro-conversions?
Track them if they help your analysis, but be selective about which ones influence bidding. Many micro-conversions belong in observation rather than as core optimization goals.
16. Should newsletter sign-ups or PDF downloads have a conversion value?
Only if there is a credible commercial reason. In many accounts, those are useful engagement signals but not strong enough to deserve positive value in bidding logic.
17. How often should I revisit my conversion values?
Review them whenever your close rates, pricing model, sales process, conversion mix, or measurement infrastructure changes. A quarterly audit is reasonable for active accounts, with additional checks after major business shifts.
18. What are conversion value rules, and do I need them?
Conversion value rules allow you to adjust values by factors like device, location, or audience. They are useful when business value clearly differs by segment. Most advertisers should first fix the core value model before adding rules.
19. Can I optimize for profit instead of revenue?
Yes, in principle. If your tracking and imports support it, profit-based or margin-weighted values can be more useful than pure revenue, especially for businesses with uneven margins across products or services.
20. What if my CRM data is delayed?
That is common in B2B and service businesses. Start with the best front-end expected-value model you can support, then improve it with offline imports once your process is dependable.
21. Does assigning values improve reporting even if I do not change bid strategy?
Yes. Better value data often makes campaign, keyword, query, audience, and device analysis more commercially meaningful, even before you shift to value-based bidding.
22. Can I assign a value to phone calls?
Yes. Many advertisers use fixed values for qualified calls or create more granular values based on call duration, booking outcome, or downstream CRM status.
23. What is the biggest mistake advertisers make with conversion values?
The biggest mistake is giving the platform the wrong signal with high confidence. That usually happens when every conversion is treated equally or when made-up values are used as if they represent real economics.
24. Should I wait until tracking is perfect before using values?
No. Perfect measurement is rare. Use the simplest defensible model now, document your assumptions, and improve over time. A practical model is usually better than indefinite delay.
25. What should agencies and in-house teams document internally?
Document which actions are primary, which are secondary, what value model is used for each, how the numbers were derived, when they were last updated, and which business stakeholders approved the logic. That prevents confusion later and makes optimization changes easier to interpret.
About ALM Corp
ALM Corp supports brands and agencies with PPC management, paid media strategy, analytics, conversion tracking, and white-label digital marketing execution. That makes this topic especially relevant in live accounts, where the difference between a basic conversion setup and a value-based measurement framework can change how campaigns are optimized, reported, and scaled. For businesses running Google Ads, Microsoft Ads, paid social, or multi-channel acquisition programs, ALM Corp’s work in performance marketing, tracking, reporting, and ongoing optimization helps turn platform data into clearer decisions about budget allocation, lead quality, and return on ad spend.
