How do I check that value-based bidding is actually using real data and not a default value?
What to check before you touch anything
Pull up the "Conv. value / cost" and "Value / conv." columns broken out by Conversion Action — if the average conversion value looks suspiciously identical (say, exactly the same number) across many transactions of clearly different size/composition, that's a clear sign a fixed default value is being used, not the real transaction amount.
Check the conversion action's own settings in Google Ads (Goals → Conversions → the specific action → Value) — it will explicitly say whether "Use different values for each conversion" (dynamic value) or "Use the same value for each conversion" (a static, default figure) is selected.
Check the actual tag code on your site (via a tag debugger or by viewing the source of the order confirmation page) — is the value parameter being passed as a variable holding the real order total (e.g., value: {{transaction_total}}), or is a static number hardcoded in?
Does the conversion value in Google Ads reports match the real order amount in your CRM/e-commerce platform on a handful of specific examples? This is the most direct check available, more reliable than any indirect review of settings.
If GA4 is your conversion source, check that the value (and currency) parameter is actually being passed in the purchase event on the GA4 side, rather than being hardcoded statically in GA4 itself or missing entirely.
Possible approaches
If you find a static (default) value being used instead of a dynamic one, fix this at the technical level first (tag/data layer) before relying on tROAS/Maximize Conversion Value as a meaningful strategy — without real value data, the strategy is optimizing toward noise.
Google explicitly recommends setting up dynamic (transaction-specific) value passing as the more accurate approach, especially for e-commerce with orders of varying size — a static value is considered a stopgap for cases where dynamic passing isn't yet technically feasible.
If dynamic passing is already set up but you have doubts about its accuracy, manually cross-check 5–10 specific orders end to end (from click to the final amount shown in the Google Ads report), rather than relying only on the interface settings, which may not reflect the tag's actual behavior.
If value is being passed correctly but doesn't include part of the real cost (discounts, shipping, taxes), explicitly agree with the business on which value methodology is being used (full order total, total minus shipping, net margin) and confirm that's actually what's being passed, rather than a mix of approaches at different stages of the funnel.
For accounts where value comes from multiple sources (native tag + GA4 import + offline conversions), it's worth periodically checking that no forgotten static default value is still lingering somewhere, left over from initial setup "just in case" and never updated since.
Related Content
Check the campaign's status in the interface — is there an explicit "Limited by budget" or "Bid strategy constrained by target" flag alongside the overperformance? These are two different root causes producing the same symptom.
Check the campaign's status — an explicit "Bid strategy constrained by target" flag alongside underspent budget (no "Limited by budget" flag, but actual spend running well under the daily limit) is a direct sign that the target is what's holding volume back.
How sharp was the budget increase, and when did it happen? A gradual 10–20% raise and an abrupt 2–3x jump lead to very different behavior — the latter almost always resets part of the strategy's accumulated learning.
What exactly is being passed as "value" — the full order amount (revenue), or an amount already net of discounts, shipping, and taxes? Different systems (your website, your CRM, Google Ads) may define "value" differently, and it's worth cross-checking line by line on a handful of real orders.
How is ROAS being calculated for each product? tROAS optimizes toward conversion value (by default, usually the sale price/revenue), not automatically toward margin. A high-margin product with a lower price and/or lower conversion potential can post a lower "raw" revenue-based ROAS than a cheap, low-margin, high-turnover product — and the system will end up underrating the very product that's more valuable to the business, unless it's told about margin separately.
Does Google Ads actually receive information about whether a purchaser is new or returning? Without that signal, neither a separate goal nor separate reporting is technically possible.
What attribution model does each system use? Google Ads defaults to its own attribution model (usually data-driven), and GA4 may use a different model (or the same model with different cross-channel distribution rules) — the mismatch may be purely a methodology difference, not an error.
The practical way to check this is through Report Editor (or a standard report) broken out by Conversion Action, using the "All Conv. Value" metric. Building a report segmented by specific conversion action and comparing count/value per action makes it easy to spot whether the same purchase is being double-counted across multiple conversion actions (say, between the native Google Ads tag and a GA4 import) — in that case, the account's total "All Conv. Value" will noticeably exceed real revenue, and the breakdown by conversion action will show that several different actions are, in effect, recording the same transactions.
What was the campaign's status during the seasonal peak? An explicit "Limited by budget" or "Bid strategy constrained by target" flag on those specific days points to the target or budget physically preventing the system from taking advantage of the demand spike.
How long, and how consistently, has actual ROAS been beating target? A one-off overshoot from a couple of big orders is different from sustained overperformance across several weeks in a row.
Is this really a one-off anomaly (a single large order) or a recurring, if infrequent, pattern (say, bulk orders once a month)? These are different situations with different fixes.
What's the real median gap between click and purchase for this business (the Time Lag report in Google Ads)? Without this number, evaluating "recent" periods will be systematically skewed on volume and distorted on ROAS.
Campaign structure. Is the volume and makeup of keywords/targeting comparable — number of keywords, match types, number of ad groups, audience signal coverage (for Performance Max)? A campaign with a narrow structure physically can't deliver the same volume as one with broad coverage, even with an identical target — this isn't an efficiency question, it's a question of the structure's scale.
Campaign structure. Are different product categories currently split into separate campaigns/groups, or is everything running through one shared structure (especially relevant for Shopping/Performance Max)? Without structural separation, it's technically impossible to assign different targets to different categories in the first place.
Is the moment of refund reflected in the passed conversion value at all? If value is passed once, when the order is placed, and never adjusted afterward, ROAS in Google Ads will be systematically overstated relative to the business's real revenue, by the full amount of refunds.
Campaign structure. How broad is the campaign's own keyword/targeting setup? If the structure is narrow from the start (few keywords, tight audience signals), the system physically has nowhere to expand beyond the narrow segment it's already found, regardless of the target.
Campaign structure. Is your keyword/targeting setup broad enough that, once the target constraint is loosened, the system actually has somewhere to expand in a controlled way, rather than jumping straight into a wide pool of low-quality traffic?
Campaign structure. Is the keyword/targeting coverage broad enough that the system could actually find additional volume if the constraint were lifted? If the structure is narrow, the "constrained by target" flag may technically be there, but the real headroom for growth may still be modest.
Is the value rule actually active and applied to the specific campaigns/audiences/locations/devices it was built for? Value rules need to be explicitly turned on at the campaign level, and a rule that's configured but not connected to the right campaigns simply won't fire.
