What do the published sources agree on for B2B Google Ads in 2026?
Six practices survive cross-referencing across more than twenty published sources, and almost all of them are about measurement rather than campaign craft. This article is a synthesis of published sources, not an account of my own campaigns. A practice is here because at least two independent sources assert it, and the two places where Google's documentation and independent data flatly contradict each other are set out rather than resolved.
The sweep covered Google Ads Help, the Google Ads API documentation and developer blog, Google's own Accelerate announcements, four independent datasets with disclosed sample sizes, practitioner reporting in Search Engine Land and PPC Land, and agencies that sell Google Ads management. Where an agency recommends a tactic it also sells, that is stated at the point of use.
One caveat applies throughout. Almost no page on Google Ads Help carries a publication or last-updated date, and several carry only a footnote dating the statistic rather than the page. "Google's current documentation says this" is defensible; "Google said this in 2026" generally is not, and the dates below are given only where a page actually states one.
The commercial view of the channel is on the Google Ads service page. This article is the published evidence behind the practices, including where that evidence contradicts itself.
Why does everything start with the CRM feedback loop?
Because in B2B the event that matters happens after the click, and the bidding system cannot optimise toward something it never sees. Google Ads Help's offline conversion imports page states the mechanism plainly: "By importing offline conversions, you can measure what happens in the offline world after your ad results in a click or call to your business." Search Engine Land's coverage of B2B lead-gen automation puts it more bluntly: "Connecting your CRM to Google Ads or Microsoft Ads is essential for making automation work in lead generation. This isn't optional."
Four further sources say the same thing without adding mechanics. Search Engine Land's lead-quality piece recommends importing "CRM MQLs, demo completions, closed deals" back into the account, and both Directive and The Marketing Blender, agencies that sell the implementation, make it their first recommendation.
Google's own uplift figure needs reading carefully. Its Data Manager page claims advertisers connecting offline and app data "see a 26% average increase in incremental ROAS", footnoted to "Google Data, Global, Measurement, April 2025 - April 2026. Based on Search campaigns bidding to conversion value." That is incremental ROAS on campaigns already bidding to value, not a general conversion uplift, and Google's own Help page restates it elsewhere as a conversion boost, which it is not. Connecting the CRM and optimising on revenue rather than clicks is the premise of our methodology; the 26% is not the reason to do it.
What changes on 15 June 2026?
The import path itself. Google Ads Help's offline conversion imports page carries the deadline in its own words: "Starting June 15, 2026, offline conversions import and enhanced conversions for leads uploads will be migrated to the Data Manager API and blocked in the Google Ads API." The Google Ads API documentation states the same cut-off from the developer side, and the Google Ads developer blog confirms the API "will no longer accept new adopters of offline conversion imports, including enhanced conversions for leads."
The destination is enhanced conversions for leads rather than the legacy click-ID import. Google's documentation describes it as "an upgraded version of offline conversion import that uses user-provided data, such as email addresses, to supplement imported offline conversion data to improve accuracy and bidding performance", and recommends upgrading through Data Manager. It also says to "include GCLIDs with your uploaded events whenever possible", which is required where no tag is collecting user-provided data. PPC Land reports the same consolidation from outside Google.
This is the one practice in the article with a hard date attached, and it is the reason to treat measurement plumbing as this year's priority rather than next year's. Four sources, three of them Google's own properties, describe the same migration and the same deadline, and none of them disagrees with the others.
How much conversion volume does value-based bidding actually need?
More than Google documents, according to everyone who has measured it. The principle is not disputed: Google's value-based bidding documentation describes it as optimising "based on the value brought to their business" and requires that advertisers report "two or more unique values" for their conversion goals, and its high-quality leads guidance recommends value-based strategies directly. Directive, an agency that sells the setup, describes assigning tiered values across demo, MQL, SQL, opportunity and closed-won so the system learns which conversions matter.
Look at the spread between the platform's floor and everyone else's, because that gap is the practice.
| Source | Conversion volume said to be needed |
|---|---|
| Google Ads Help, Target ROAS | 15 in the last 30 days |
| Google, Demand Gen value-based bidding | 50 with value in 35 days, 10 in the last week |
| Optmyzr | 30 to 50 per month |
| Search Engine Land, B2B lead gen | About 30 per campaign per month |
Sources: Google Ads Help, no date on page; PPC Land on Demand Gen requirements; Optmyzr; Search Engine Land.
Google's own Demand Gen requirement is three times its Search guidance, which is the most useful detail here: the disagreement is not simply platform against practitioners. Optmyzr also names the failure mode that tiered values invite, "accidentally combining values from multiple funnel steps, inflating actual conversion worth", and argues that a target return you cannot explain in terms of margin "is not a target. It is a guess." For a B2B account, the practical reading is that value-based bidding is a practice you graduate into on volume, not one you switch on.
How do you optimise on an event that happens months later?
No source I opened answers this, and that is worth stating plainly rather than papering over. Google's guidance points one way: its high-quality leads page says the ideal conversion delay is "within 7 days of the ad interaction for timely optimization", and Search Engine Land's Performance Max piece agrees that optimisation "should be tied to a meaningful online event, such as a qualified lead submission or an appointment booked". The entire premise of CRM-fed bidding points the other way. Here are the windows the platform actually enforces.
| Window | What Google documents |
|---|---|
| Ideal conversion delay for optimisation | Within 7 days of the ad interaction |
| Import cut-off, enhanced conversions for leads | 63 days after the last click |
| Import cut-off, legacy offline conversion import | 90 days after the last click |
Source: Google Ads Help, guidelines for importing offline conversions and best practices for generating high-quality leads, no date on page.
A B2B cycle measured in months does not fit inside 63 days, so the closed-won event that Directive recommends assigning a value to is frequently outside the window in which it can be imported at all. The workable reading across the sources is to bid to the nearest event that genuinely correlates with revenue, a qualified lead or a booked meeting, and use the later stages for reporting rather than for bidding. Optmyzr names the same problem from the other side, listing "long sales cycles without offline data" among the conditions that "create optimization blind spots". Two independent sources describe the tension; none resolves it, and an article claiming otherwise would be inventing a resolution.
Is Ad Strength worth optimising for?
This is the clearest platform-versus-data disagreement in the corpus, and the independent side has the larger disclosed sample. Google's Ad Strength documentation states that "advertisers who improve Ad strength for their Responsive Search Ads and Sitelinks from 'Poor' to 'Excellent' see 15% more conversions on average", footnoted to internal data covering 15 to 20 August 2025, a five-day window with no sample size given. Its Performance Max page makes a smaller claim, 6% more conversions, footnoted to February 2024 data that is now dated.
Optmyzr's responsive search ad study (April 2026), across roughly 20,000 accounts, reports the opposite pattern and states that Ad Strength "reflects structural completeness... not how well your ad will actually perform". Compare the direction, not the absolute values, since the two datasets measure different things.
| Ad Strength rating | What Optmyzr reports |
|---|---|
| Average | Lowest cost per acquisition at $12.43, highest conversion rate at 12.65% |
| Excellent | Worst cost per acquisition at $28.68 |
| Poor | Best return on ad spend at 327.65% |
Source: Optmyzr, Google RSA performance study, April 2026.
Neither side is clean. Optmyzr sells Google Ads software and its accounts are self-selected; Google's figure has a five-day window and no disclosed sample. Search Engine Land's piece on tactics to drop sides with the data, warning that "chasing an 'excellent' score by stuffing headlines and descriptions can easily result in weaker performance for the sake of a vanity metric". Treat Ad Strength as a completeness checklist, which is what it measures, and never as a performance target.
What guardrails do the sources agree a B2B account needs?
Account-level negatives, deliberate match-type choices, and a check on what Performance Max is taking from Search. On negatives, Directive recommends account-level lists because they "block irrelevant queries across Search campaigns and the Search inventory within Performance Max campaigns", and The Marketing Blender lists maintaining that list among what works while naming "broad match without guardrails" among what does not. Both are agencies that sell the work.
On match types, the strongest evidence is Adalysis's match-type study across 16,825 campaigns, which segments by bid method rather than lumping all advertisers together. For lead generation on maximise-conversions bidding it finds exact match "captures 23% of impressions but 32% of conversions", and that "phrase match has a higher conversion rate than broad match, but actually delivers worse CPAs and ROAS". That last finding is the counter-intuitive one and the reason to read the study rather than the summary.
On overlap, Optmyzr's cannibalisation analysis of 503 accounts (February 2025) found keyword overlap between Search and Performance Max in 91.45% of them. Its own conclusion is more measured than the headline suggests: where the overlap was exact, 74.92% of cases showed no significant difference in conversion rate, Search performed better in 18.91% and Performance Max in 6.17%. So overlap is close to universal and usually harmless, which makes it something to measure in your own account rather than a reason to switch Performance Max off. Google's guidance on when to judge it is itself inconsistent: Help says one to two weeks, up to six for complex setups, while Google's own Accelerate page says at least six weeks.
Which of these practices should come first?
The migration, then the feedback loop, then bidding, then everything else. That ordering is forced by the calendar rather than chosen: the Data Manager cut-off is the only practice here with a date, and an account still importing through the Google Ads API after 15 June 2026 loses the signal that all the other practices depend on. The CRM feedback loop comes next because value-based bidding is meaningless without it, and value-based bidding comes third because it needs volume that most B2B accounts have to build toward.
Ad Strength and match-type work sit last, and Ad Strength arguably sits outside the list altogether. Where a practice rests on one publisher, this article says so; where Google and independent datasets disagree, both are on the page with their sample sizes attached, because that is the only way a reader can weigh them.
The costs those practices are trying to move are in our Google Ads B2B benchmarks article, where the same WordStream dataset is set out with its methodology. The equivalent synthesis for the demand-creation side of a B2B stack is our LinkedIn Ads best practices article, and the commercial argument for running the two together is on the LinkedIn Ads service page.
For the newest conversational surface, our ChatGPT Ads Europe launch analysis separates documented capability from the performance data that does not yet exist.
Frequently asked questions
What is changing for Google Ads offline conversion imports in 2026?
From 15 June 2026, offline conversion imports and enhanced conversions for leads move to the Data Manager API and are blocked in the Google Ads API (Google Ads Help 2026). Accounts still uploading through the old path stop being able to, so audit the integration before the date.
How many conversions does value-based bidding need in B2B?
The sources disagree by a factor of three. Google documents 15 conversions in 30 days for Target ROAS, while Optmyzr and practitioner reporting both put the practical floor at 30 to 50 a month, and Google's own Demand Gen requirement is 50 in 35 days. Use the higher figure and grow into it.
Should a B2B account bid to closed-won revenue?
Not directly. Google recommends an optimisation event within 7 days of the click and will not import enhanced conversions for leads more than 63 days after the last click, which is shorter than most B2B cycles. Bid to the nearest event that correlates with revenue and report on the rest.
Does improving Ad Strength improve performance?
The evidence points both ways. Google reports 15% more conversions moving from Poor to Excellent on responsive search ads and sitelinks, while an Optmyzr study of roughly 20,000 accounts finds Excellent ads carry the worst cost per acquisition (Optmyzr 2026). Treat it as a completeness score, not a target.
Is Performance Max stealing traffic from Search campaigns?
Overlap is close to universal, and usually not harmful. Optmyzr found keyword overlap in 91.45% of 503 accounts, but no significant conversion-rate difference in 74.92% of exact-overlap cases (Optmyzr 2025). Measure the difference in your own account before restructuring.