Value-based bidding for leads starts with the value model
If every enquiry receives the same value, Google Ads learns little about which enquiries are worth more to your business. Value-based bidding for leads therefore needs a transparent assessment: a defined event, a consistent economic basis and reliable probabilities of winning the business.
A value needs a meaning you can verify
The number in the conversion field is, first of all, an assessment that you supply. It might represent the expected contribution from a qualified enquiry. It is neither a payment nor evidence that Google Ads generated that amount as an additional business result. What matters is whether two leads assigned different values really do have different economic prospects.
This guide develops a lead value model worksheet. It connects the event definition, source data, calculation, uncertainty and approval. The running example, Mainblick Anlagenservice, is entirely fictional. All amounts and outcomes illustrate the calculations; they are neither industry benchmarks nor targets for your account.
A prerequisite is reliable feedback from your sales team. The previous guide explains how to send qualified leads from your CRM back to Google Ads. Here, the next decision is the focus: what value can you assign to that event, and what conclusions can you draw from it?
Last reviewed: 14 September 2026. The bidding guidance applies to Search campaigns for lead generation. It should not be used to infer requirements for other campaign types.
When different lead values provide a better foundation
Differences need an economic explanation
A maintenance contract and a major equipment upgrade may generate equal numbers of forms, yet have different returns and chances of becoming sales. Optimising for volume alone treats both recorded conversions according to their count. A value-based strategy also receives your assessment of their worth. Google's introduction to value-based Smart Bidding explains this distinction and recommends choosing a suitable single step in the lead process as the bidding signal.
Valuation helps when differences recur, can be identified reliably in the CRM and are reported promptly. “Large company” is not enough on its own. Smaller businesses might convert more often, need less support and cost less to serve. A model must test those outcomes instead of translating the sales team's ideal customer list into high numbers.
If you do not have enough mature sales outcomes, start with a simpler valuation. A common, documented starting value can be more honest than ten apparently precise segments. Within that group, however, it does not yet distinguish economic quality. Google requires at least two different reported values for value-based bidding. A single common value therefore remains an interim simplification until you have a suitable signal that reflects meaningful differences.
A value model is equally unhelpful when most enquiries are unusable or recorded more than once. Until event quality is understood, adding a more detailed number only improves the presentation of the problem. A stable qualification standard and reliable business outcomes come first.
Define the event, currency and economic basis
Euro amounts are comparable only when their meaning is clear
Mainblick values exactly one first qualification of an enquiry per documented sales opportunity. One person can enquire about several genuine projects. Conversely, reopening an opportunity does not automatically create a new qualification event. You must define this unit before calculating values and be able to identify it consistently in the CRM.
Next, choose an economic basis: expected revenue, a contribution amount calculated consistently within your business, or a relative scoring system explicitly described as such. Google supports different conversion values for representing business outcomes. This does not make arbitrary numbers automatically comparable. EUR 500 in revenue and EUR 500 in contribution describe different quantities.
In this example, contribution means the expected amount remaining after the agreed costs of delivering the contract, but before advertising costs. Mainblick defines internally which costs to deduct and applies that definition consistently across all segments. Advertising costs stay outside this basis because they later form the denominator of the efficiency calculation. Remaining overheads and the costs of pursuing lost enquiries have not been deducted here: the result is not net profit. This boundary is a modelling decision, not a universal rule for your cost accounting.
Also document the currency and time horizon. The value of an initial contract over twelve months must not sit alongside a multi-year customer value without a clear distinction. A points system can express relative priorities; a resulting report value is not revenue, however, and dividing it by advertising costs does not give a directly meaningful economic return.
Use the lead value model worksheet as the agreed template
Six fields make every model version open to review
The worksheet provides a shared basis for decisions by marketing, sales and the person assessing business outcomes. In the fictional example, the cohort contains enquiries first qualified between 1 October and 31 December 2025. The model considers whether a contract was won within 180 days of qualification and the contribution from the first contract won. All example cases are mature, with no unresolved outcomes. This chosen horizon is not a Google requirement.
| Model and version | Event and segment | Cohort and horizon | Economic basis | Calculation and uncertainty | Approval and review |
|---|---|---|---|---|---|
| Version 1; enter the effective date after approval | First qualification of an enquiry per opportunity; group A | 80 enquiries; October–December 2025; 180 days | EUR 1,600 average contribution per first contract won | 20 of 80 won; 25% × 1,600 = EUR 400 | Sales confirms outcomes; marketing checks the signal; enter the model owner's name |
| Version 1; same effective date | Same event; service group B | 40 enquiries; same cohort and 180 days | EUR 6,000 on the same cost basis | 4 of 40 won; 10% × 6,000 = EUR 600 | Model owner reviews dependence on a small number of wins |
| Draft; separate segment valuation not approved | Same event; service group C | 20 enquiries; same cohort and 180 days | EUR 10,000 from just one contract won | 1 of 20 won; calculated value EUR 500; weak evidence | Model owner considers pooling with another group or further observation |
Add the CRM filter used, the people responsible and the location of the calculation file. A later review must be able to recreate the same population. A note saying only “values updated” is not enough to explain a jump in ROAS.
The template separates a number you can calculate from a number approved for use. Segment C makes the distinction particularly clear: a formula can be arithmetically correct while still providing too little evidence for an ongoing bidding signal.
Calculate the expected value at the chosen lead stage
Probability of winning multiplied by the appropriate outcome value
For this example, the calculation is: Expected value of a qualified enquiry = probability of winning a contract after qualification × expected contribution from a contract won. The probability explicitly applies to enquiries that are already qualified. You must not calculate it from all form submissions and then silently apply it to a different event.
In segment A, 80 mature qualified enquiries produced 20 contracts. The observed win rate is 25%. An average contribution of EUR 1,600 gives an expected value of EUR 400 per qualified enquiry. This amount distributes the observed economic outcome across all events at the selected stage.
The simple formula assumes that the outcome value relates to the same segments and time horizon. If pursuing lost enquiries also incurs substantial costs, your economic definition must specify how to treat them. You cannot include those costs in only one segment and then compare the results as though they were the same measure.
A contract won later does not make the original expectation wrong. Check calibration using subsequent mature cohorts, or mature cohorts held out from the estimate: does the sum of assigned values roughly match outcomes measured on the same economic basis? On the original estimation group, the formula merely reproduces the starting total; that does not test its suitability for future leads. A single enquiry cannot answer this question either.
Check the starting value particularly carefully if you are importing a calculated lead value from another analysis. If it already includes the probability of winning, do not multiply by that probability again. Otherwise, the same field could contain either a contract value or an expected lead value, depending on where it came from.
Derive win rates only from comparable, mature cohorts
Allow for opportunities that are still open
Build cohorts by the date of the chosen event, here the first qualification. Set an observation horizon that suits your business. Only then compare outcomes. If segment A closes within two weeks but segment B often takes three months, an analysis of the current month will systematically underestimate segment B.
Mature data does not mean an export containing only won and lost cases. Simply removing open opportunities from the denominator can bias the win rate. Instead, document the common horizon and the share that remains open. If too many cases are unresolved, postpone approval or label the estimate provisional.
Also check whose enquiries enter the data at all. A calculation based only on leads that sales chose to prioritise may reflect that selection. Missing feedback does not reliably mean a lost contract. Changes in prices, capacity or acceptance criteria can also limit how well older outcomes apply today.
Assign segments using only information available at the event being valued. If you retrospectively put a lead in the highest-value group based on its eventual contract amount, the model uses knowledge from the future. In live operation, that information would not have been available for the original valuation.
A higher conversion value does not prove additional revenue
Read valuation, payments and advertising impact separately
Conversion value in Google Ads initially tells you which values were assigned to the reported conversions. In the Mainblick model, it is an expected economic amount at the qualification event. It is neither a cash receipts report nor a measure of the additional contribution caused by advertising.
A simple calculation using unchanged events and costs illustrates this. Ten events valued at EUR 400 each produce EUR 4,000 in reported value. With EUR 1,000 in advertising costs, the ratio is 400%. Value those same ten events at EUR 800 each and the comparison becomes EUR 8,000 and 800%. No additional contract is required.
This comparison describes two valuation scales. It does not suggest that changing a setting automatically revalues events already reported. That is precisely why the model version and effective date must remain visible in reporting. Periods using different scales need a common analytical basis before you infer improvements in performance.
If you doubled the entire scale uniformly, a target ratio intended to mean the same thing economically would also be twice as high mathematically. This does not promise unchanged delivery: in practice, old and new values may coexist. If you change just one segment, you also alter its relative priority.
Review question: Did the business generate more or better outcomes, or were the same outcomes assigned higher values? An improved number in the Ads report alone cannot decide that. Check mature CRM outcomes and the unchanged economic definition alongside it.
What three service groups reveal about precision and uncertainty
The largest contract does not automatically produce the highest lead value
The following table uses the same event stage, horizon and definition of contribution before advertising costs. All figures are fictional. You can compare the calculated values; that does not mean their statistical reliability is equal.
| Service group | Mature qualified enquiries | Contracts won | Observed win rate | Average contribution per contract | Calculated value per enquiry |
|---|---|---|---|---|---|
| A · Maintenance | 80 | 20 | 25% | EUR 1,600 | EUR 400 |
| B · Modernisation | 40 | 4 | 10% | EUR 6,000 | EUR 600 |
| C · Bespoke project | 20 | 1 | 5% | EUR 10,000 | EUR 500; provisional |
The calculated value for segment B exceeds A's despite its lower win rate. C has a larger individual contract value, but its expected lead value is below B's. Looking only at contract size or only at win rate misses this relationship.
C's value also depends on a single contract won. Another win or an unusually high-value project would change the estimate substantially. Do not automatically assign EUR 500 as a permanent, separate bidding signal. Check whether C can reasonably be pooled with a broader group on economic grounds. If the groups are not comparable, its separate valuation remains provisional.
Nor do four wins make B's estimate an established fact. Before using the values, decide how you will respond to weak data, for example by using a simpler common estimate for groups that are genuinely comparable. This rule needs a rationale; an arbitrary downward safety adjustment does not add evidence.
Do not add forms, qualified leads and contracts as values for the same outcome
The composition of your goals is part of economic measurement
One opportunity can generate a form submission, a qualification and a contract. If all three events carry values for the same economic outcome and jointly inform bidding, you may reward the same progress more than once. For this model, therefore, choose one stage as the input signal. Monitor other stages separately. This does not prevent you from measuring several independent business outcomes; the issue is overlapping valuations within the same process.
The “One” counting option does not solve this problem across different conversion actions. The conversion counting rules apply to each action in relation to ad interactions. They do not provide general deduplication of a person or opportunity across multiple actions.
Next, check the campaign goal that is actually selected. Primary actions are used for bidding when the campaign uses their standard goal. There is an important exception: actions marked as secondary can also be used for bidding within a selected custom goal. The documentation on primary and secondary actions explains how this works.
Review the effective composition of goals in every affected campaign, rather than individual switches alone. A systematic approach is provided in the guide to primary, secondary and account-default conversion goals. Before approval, you must know which events actually make up the measure you are optimising.
Understand Maximise conversion value and target ROAS
The value model, efficiency target and budget serve different purposes
Maximise conversion value without a target ROAS aims to generate as much reported value as possible within the available budget. The strategy does not set a fixed minimum ROAS. If a campaign previously spent well below its budget, switching can substantially increase actual expenditure.
A target ROAS adds an average efficiency target. It does not guarantee that return for every lead or day. Naming changes introduced from June 2026 may label this combination “Target ROAS”. This change of name alone does not alter bidding behaviour; it is separate from the system update in August. For help with the basic choice, see the overview of Google Ads bidding strategies for SMEs.
Google also documents an update to target-based bidding strategies fully rolled out on 27 August 2026. For budget-constrained campaigns that previously exceeded their set targets, performance may move closer to those targets. Target-based campaigns that are not budget-constrained are unaffected by this change. Google does not automatically alter your targets or budgets as part of it; budget limits remain in place.
Check whether the target entered still reflects your current intention. An old target that rarely constrained performance is not a reliable summary of past results. At the same time, a higher number in the lead model must not be confused with a stricter economic requirement: the valuation scale, desired efficiency and available funds are separate decisions.
Check product requirements and model reliability separately
Meeting a minimum requirement does not replace a data review
For Search, the target ROAS documentation specifies at least 15 conversions in the past 30 days at the conversion-tracking level. This does not imply the same minimum in every individual campaign, nor a blanket eligibility requirement for Maximise conversion value without a target.
This product condition also does not establish whether your value model is economically reliable. Fifteen events with incorrectly scaled amounts are still incorrectly valued. To approve the model on its merits, you need mature outcomes, comparable segments and sufficiently reliable reporting of the chosen stage.
Consider the time between the ad click, the business step and the reported value. A late stage with a very precise outcome can delay feedback; an earlier step provides data sooner but needs a properly calibrated expectation. This is a deliberate trade-off. A recommendation to provide prompt feedback is not a technical upload deadline.
Current Google guides offer different lead-in periods depending on the transition route. The target ROAS page specifies four weeks or one to two conversion cycles, whichever is longer. Other transition guidance uses different periods. Do not turn these into a universal launch date: record which route you are taking and whether the values required for that route are already sufficiently complete.
Base model changes on specific discrepancies
Every correction needs an observable cause
Recalibration does not mean regularly increasing the numbers. It should explain differences between expectations and outcomes measured on a comparable basis. The following cases show which decision fits each observation.
| Observation | Possible cause | Required check | Model decision | Inappropriate response | Documentation |
|---|---|---|---|---|---|
| Outcome value falls while wins remain stable | Different delivery costs or contract mix | Same horizon and cost categories? | Re-estimate the basis once the change is confirmed | Change only the ROAS target | Record the new basis and effective date |
| Win rate falls in the latest month | Many opportunities are still open | Mature cohort and share still open | Wait initially if the data is not mature | Treat incomplete cases as lost | Observation horizon and review date |
| A segment jumps after a large contract | Small sample and outliers | Distribution of outcomes and comparability | Consider simplification or justified pooling | Immediately apply the new average everywhere | Uncertainty and approval decision |
| Ads value rises without better CRM outcomes | New value scale or overlapping stages | Model version and actions used in practice | Correct the measurement basis and separate periods | Infer success from ROAS alone | Change log and affected reports |
Schedule the next review for when you expect reliable outcomes to arrive. Changes in prices or qualification rules may trigger an earlier review. A routine review does not, however, have to produce new values every time.
Keep previous versions. Without their definitions, you cannot later distinguish whether an improved result came from better leads, changed costs or a different valuation.
Change values, conversion goals and bidding strategy step by step
The existing event stage determines the transition route
If qualified enquiries are already your selected goal and you use target CPA for them, you can first report their approved values while retaining target CPA. Google describes this route in its guide to changing bidding strategy while keeping the same conversion goal: provide values, allow for the necessary conversion cycles and then change strategy. These values should also be available consistently in other campaigns sharing the same conversion tracking.
If you also want to switch from form submissions to qualified enquiries, you are changing the event being optimised. The overview of changes to goals and actions for Smart Bidding distinguishes these transitions. First write down whether you intend to change the event, its valuation, the strategy or several of these.
For a rollout you can evaluate, first stabilise the chosen stage and its feedback. Then check the values under that definition. Only after that should you assess the appropriate bidding decision. Document budget and efficiency targets as separate decisions; simultaneous changes make observed effects harder to interpret.
Also consider when a change takes effect. A change to the configured conversion value applies to subsequent conversions and, according to Google, usually takes effect within a few hours. It does not automatically revalue specific historical conversions. Such adjustments are a separate process and do not belong in a routine model change.
A value calculated in the CRM and submitted for each event also has its own model version. Define which version applies according to the actual event time and check late submissions accordingly. Changing the CRM model is not the same as changing the fixed default value in Google Ads.
Assess reported value, mature outcomes and the target together
A current report may not yet be complete enough to judge
Advertising costs are often fully recorded before the associated qualified events and values arrive. A recent period can therefore look worse while relevant feedback is still missing. Use a mature reporting period and check the bid strategy report. The guidance on measuring Smart Bidding performance emphasises conversion delays and comparison with the average target.
Bring two separate analyses together. Google Ads shows costs, reported conversion value and the efficiency achieved for recorded conversions, among other measures. The CRM analysis checks whether the cohorts of valued events later deliver the expected economic outcomes. The two views use different assignment rules; matching their date filters on the surface does not automatically make them identical.
Also monitor the mix of leads. More highly valued leads help only if their valuation continues to hold. If the actual win rate in that segment falls, an apparently good Ads value can conceal a less well-calibrated expectation. Check the share still open, changes in sales follow-up and the cost basis.
Check the proportion of missing or unexpected default values too. A missing amount does not automatically mean a lead has no economic value. Investigate whether entire groups are arriving without their intended valuation. Until that is resolved, you cannot reliably interpret the segment mix in the report in economic terms.
A higher target ROAS can limit reach and volume; a lower target may allow additional value and more volume. Assess this decision against your desired economic ratio and sufficiently mature data. Individual days or a lower cost per click are not an adequate substitute for that review.
When approval of the value model must wait
Four findings require a specific correction
Here, “stop” means withholding the introduction of, or a change to, the value model. It does not automatically mean pausing every running campaign. Decide from the nature of the error whether the existing reliable measurement can continue or an operational restriction is needed.
Incomparable economic bases
One segment uses revenue while another uses contribution or a different time horizon. Standardise the definition and recalculate the affected groups. Until then, their ranking is not a reliable optimisation objective.
Immature or selective cohorts
Open opportunities disappear from the denominator, or outcomes exist only for leads sales prioritised. Restore the full population and examine the bias. More decimal places do not solve this data gap.
Progress valued more than once
Form submission, qualification and contract events all inform bidding with overlapping outcome values. Review the goals and actions actually in use. Approve only the clearly selected event stage.
An unexplained jump in value
A submitted amount or its scale changes without a model version. Establish the source, scope and effective date. Until it is explained, do not treat the jump in the report as an improvement in business performance.
Assign an owner and a verifiable condition for renewed approval to each finding. “Monitor the data” is too vague; “confirm the common cost basis and recalculate affected values” is something the team can actually complete.
Use the model only after five connected checks
Approval requires several people to take responsibility
Sales confirms the business step and its outcomes. The person responsible for the financial assessment confirms the valuation basis. Marketing checks how the approved definition takes effect in the selected campaigns. All these decisions must refer to the same model version.
| Review area | Evidence | Responsibility | Approval condition | If evidence is missing |
|---|---|---|---|---|
| Event | Definition and CRM sample | Sales | Consistent first qualification per opportunity | Clarify the definition |
| Economic basis | Horizon, currency and included costs | Person responsible for the financial assessment | Comparable basis across all groups | Standardise the valuation |
| Estimate | Cohort, denominator, outcomes and uncertainty | Analysis and sales | Mature data or an explicitly justified simplification | Defer separate segment values |
| Goal in use | Campaign goals and conversion actions | Marketing | Selected stage without overlapping valuations | Correct the composition of goals |
| Monitoring | Version, baseline values and review date | Joint approval | Comparable reports and defined stop rules | Postpone the rollout |
A subsequent strategy test also needs its own experimental plan. Google's guidance on value-based campaign experiments specifies different values and recommends a starting volume of at least 50 campaign conversions in 30 days, among other considerations. This recommendation is not a general eligibility threshold for every value-based bidding approach.
Keep events and their value definition constant in such a comparison. A test that changes the valuation formula at the same time can no longer answer the bidding-strategy question cleanly. Detailed experiment design is a separate next step.
FAQ: value-based bidding for leads
Can I initially give every enquiry the same value?
Yes, as an interim model version before introducing separate values. A common value does not distinguish economic quality within that group; Google specifies at least two different reported values for value-based bidding. Document the basis of the value and the conditions under which you will introduce differences later. Different numbers created merely to produce a ranking are not an improvement.
Does a lead value have to equal eventual revenue?
No. It can describe an expected outcome at the selected event, such as the expected contribution from a qualified enquiry. A consistent definition and appropriate probabilities are what matter. A proxy remains a proxy; displaying it as a conversion value does not automatically make it measured revenue.
Which win rate belongs in the calculation?
The rate from the exact stage you are valuing. For qualified enquiries, the denominator must therefore be qualified enquiries from comparable, mature cohorts. A win rate starting from all form submissions describes a different condition. Open or unprocessed cases must not silently disappear from the calculation.
How should I treat a segment with only one win?
As an uncertain estimate. Check whether it makes sense to pool it with economically comparable groups. Otherwise, continue observing the segment and do not yet approve a separate value for it. An average calculated from one contract does not sufficiently justify the value assigned to future leads.
Does the “One” setting prevent duplicate funnel values?
No. The counting option works per conversion action following the relevant ad interactions. It does not automatically remove overlaps between a form submission, qualification and contract. Review the selected goals and all actions within them that are used for bidding, including custom goals.
Does doubling ROAS mean the business is doing better?
Not automatically. With unchanged events and costs, doubling the valuation mathematically doubles reported ROAS. Check the model version, scale and mature CRM outcomes. Only a comparison on the same economic basis allows a meaningful performance assessment; even that does not prove additional advertising impact.
Are 15 conversions in 30 days always enough?
No. The stated Search requirement for target ROAS applies to conversion tracking and does not replace a review of your model. Other guidance, such as the recommended minimum volume for an experiment, has a different scope. Data maturity, signal quality and economic comparability remain separate questions for approval.
Does a new value setting change old conversions?
A change to the configured value applies to subsequent conversions; it does not automatically rewrite individual historical events. Separate model versions by time and document when they begin. A targeted historical adjustment is a separate process whose meaning and effects require their own review.
Complete a transparent lead value model before changing bidding
Start with a model version you can fully explain
Choose an event stage that your sales team identifies reliably and whose later outcomes can be assessed. Then define the currency, horizon and economic basis. Calculate expected values from appropriate cohorts and identify where too few outcomes still make a separate segment value unjustifiable.
The completed lead value model worksheet must answer three practical questions. What does a reported amount mean? What data supports it? Under what conditions will the valuation change or its use stop? If any answer is missing, the rollout is not yet sufficiently prepared.
Next, check the conversion goals actually in use and the appropriate transition route. Keep the valuation stable during the initial assessment and compare only sufficiently mature periods. This lets you examine whether the signal reflects the intended economic differences and whether the chosen strategy works sensibly with that signal.
Do you want a shared basis for lead quality and Google Ads decisions? SaleStudia helps you connect CRM outcomes, value definitions and campaign goals. Discuss the starting point for your campaigns through our Google Ads management service for businesses.