If you run marketing at a company spending anywhere from $3M to $100M+ on growth, you've probably had this moment. You're in a quarterly review. Your Google Ads agency or in-house specialist shows you a report. The numbers look fine. And you think, I trust this person, but I have no idea if what they're showing me is actually true.

That gap, between what gets reported and what's actually happening, is where most marketing budgets quietly leak. And on June 1, 2026, Google is rolling out a change that's going to make that leak worse for any company doing lead generation. Not because the change is bad. Because the companies who weren't paying attention to the underlying problem are about to get migrated into a system they don't understand, and their data will get even less trustworthy than it already is.

This post explains what Enhanced Conversions actually is (in plain language), why the June change matters for your business, what you should ask the person running your campaigns this week, and what answers should make you nervous.

No jargon walls. No screenshots of code. If you've ever felt like Google Ads is a black box your team disappears into and emerges with numbers you can't verify, this is for you.

// Reader Qualification

This is the section most blog posts skip. I'd rather you spend 90 seconds figuring out if the next 20 minutes is worth your time than pretend everything I write applies to everyone.

Still here? Good. Let's go.

Start here: what Google Ads is actually doing with your money

When you spend money on Google Ads, you're not really paying for clicks. You're paying Google to make a decision millions of times a day: should I show this advertiser's ad to this person right now, and how much should I charge them?

The decision gets made by an algorithm. The algorithm learns by watching what happens after the click. If someone clicks your ad and then becomes a customer, the algorithm marks that click as valuable and goes looking for more people like that one. If someone clicks and bounces, the algorithm marks that click as low value and stops showing ads to similar people.

This is the whole game. Everything else (keywords, bids, ad copy, audiences) is downstream of one question: can the algorithm see which clicks turned into real customers?

If the answer is yes, your ad spend compounds. The algorithm gets smarter every week, your cost per customer drops, your good leads multiply.

If the answer is no, you're paying Google to guess. And Google's guess, in 2026, is increasingly wrong. Browser privacy controls, cookie restrictions, multi-device journeys, and longer sales cycles have all eroded what Google can see on its own. The companies winning at paid search right now are not the ones with the cleverest ads. They're the ones who have figured out how to tell Google, after the fact, "this click became a $40,000 customer. This other click became a tire kicker. Use that."

That feedback loop is called conversion tracking, and Enhanced Conversions is Google's current best tool for making it work in a privacy-restricted world.

What Enhanced Conversions actually does (the six-year-old explanation)

Imagine you run a window-replacement business. Someone clicks your Google ad, fills out a form on your site asking for a quote, and three weeks later signs a $22,000 contract.

Without Enhanced Conversions, Google sees the form fill. It doesn't know if that form fill ever turned into money. So it optimizes your campaigns toward "people who fill out forms," which sounds great until you realize half of them are competitors, students researching projects, or people who'll never close.

With Enhanced Conversions, your website quietly captures the lead's email and phone number when they submit the form, scrambles those details so Google can't read them in plain text (this is called hashing), and sends them to Google. Then, weeks later when that same person signs the $22,000 contract in your CRM, the CRM sends Google another message saying "remember that hashed email from three weeks ago? That one became a customer worth $22,000."

Google matches the two records and updates its algorithm: this kind of click, from this kind of person, on this kind of keyword, is worth real money. Now it goes looking for more of them.

The change in your campaign performance, when this is working correctly, is not subtle. Properly implemented Enhanced Conversions typically lifts conversion measurement accuracy by 15% to 30%. That doesn't mean your campaigns get 15% to 30% better. It means Google's algorithm finally sees the right 15% to 30% of your customer journey it was previously blind to, and starts optimizing toward your actual best customers instead of toward whoever happens to fill out a form.

If you've been spending money on Google Ads for years and your cost per qualified lead has been creeping up while your cost per form fill stays flat, this is almost certainly the gap.

The silent failure problem

Here's the part most marketing leaders don't realize until it's too late.

Most companies running lead generation campaigns have Enhanced Conversions set up incorrectly, partially, or not at all. They just don't know it, because Google Ads doesn't tell you when Enhanced Conversions is broken. It just quietly optimizes against worse data.

Let me give you two examples of what this looks like in real life.

Example 01 — Home services, $40K/month spend. A regional HVAC company runs Google Ads to drive quote requests. Their agency set up Enhanced Conversions 18 months ago and ticked the box in the monthly report ever since. The form on the website does capture email and phone, but the field names in the form code don't match what Google's tag expects to see. So the email and phone get collected by the form (and stored in the CRM), but they never get sent to Google. The status indicator in Google Ads shows "active" because the tag is firing. It just isn't firing with any user data attached.

The agency doesn't catch it because they're looking at the wrong screen. The diagnostic screen that would have shown the empty data fields is buried two levels deep and nobody opens it unless they're specifically auditing. For 18 months, this company has been paying Google to optimize toward whoever fills out forms, not toward whoever becomes a customer. Their cost per quote is fine. Their cost per closed job is up 60% year over year. Nobody connected the two until they switched agencies.

Example 02 — B2B SaaS, $80K/month spend. A mid-market SaaS company captures emails from demo request forms, syncs them to HubSpot, and runs a sales process that closes deals between 30 and 90 days later. Enhanced Conversions for Leads was set up correctly at the form-fill stage. The user-provided data flows to Google. The tag fires. The diagnostic confirms data is flowing. Everything looks great on the front end.

What's missing is the loop closing back. When a deal closes in HubSpot, nothing pushes that information back to Google. So Google sees "this person filled out a demo form" but never sees "this person became a $48,000/year customer." The algorithm optimizes toward demo requests, which means it optimizes toward whoever is most willing to fill out a demo form. That turns out to be price shoppers, competitors doing research, and free-trial tire kickers. Their actual best customers (enterprise buyers who don't fill out demo forms casually, they only fill them out when they're serious) are statistically underrepresented in the optimization signal. So Google shows fewer ads to people who look like real buyers and more ads to people who look like form-fillers. The company's marketing-sourced revenue grows half as fast as its ad spend.

Both companies "have Enhanced Conversions set up." Both companies are bleeding money. Neither company will see the problem in any standard Google Ads report. The only way to catch it is to audit specifically for it, and that audit takes a different lens than most agencies use in their monthly reporting cadence.

This is what I mean when I say Google Ads doesn't tell you when Enhanced Conversions is broken. The dashboard will tell you everything looks fine. The leak is invisible until you go looking for it.

What's changing on June 1, 2026

Here's the short version. Until now, Enhanced Conversions has lived in two separate boxes inside Google Ads.

Box one: Enhanced Conversions for Web. This is for e-commerce. Someone clicks your ad, buys something on your site, you're done. The purchase happens online and the value is known immediately.

Box two: Enhanced Conversions for Leads. This is for everyone else. Lead generation. B2B. Long sales cycles. The form fill happens online but the actual sale happens later, in a CRM, on a phone call, or in a sales meeting.

These two boxes have had separate setup processes, separate documentation, separate troubleshooting paths, and (this is the important part) separate failure modes.

On June 1, Google is collapsing the two boxes into a single unified toggle. One setting. One setup. One source of truth.

The official line from Google is that this is good news and compliant advertisers will be migrated automatically. That sentence is technically true and operationally misleading. Here's why.

"Compliant" is doing a lot of work in that sentence. To be considered a compliant advertiser, your website needs to be capturing user-provided data (email, phone, name, address) at the form-fill stage, sending it to Google in the correct format, and your CRM needs to be configured to send Google the conversion event when the lead actually becomes a customer. If any link in that chain is missing or broken, you're not compliant. You'll get migrated to the new unified system anyway, but your data won't flow correctly, and your campaign performance will degrade quietly over the following months.

The companies most exposed are the ones who set up Enhanced Conversions for Leads two or three years ago, never audited it, and assumed it was working because Google Ads didn't show them an error message. Google Ads almost never shows error messages on this. It just gives you worse results.

What to ask the person running your campaigns this week

You don't need to learn Google Ads to protect your spend through this transition. You need to ask the person who runs your campaigns (in-house or agency) five questions, and you need to know what the answers should sound like.

Question 1 — Is Enhanced Conversions currently turned on for our account?

Acceptable answer: "Yes, and here's a screenshot of the conversion settings page showing it's enabled, with the status indicator showing data is actively flowing."

Red flag answer: "Yes, I think so." Or "It's enabled but I'm not sure if data is flowing." If they can't show you the status indicator confirming live data, the answer is effectively no.

Question 2 — Are we sending Google the user-provided data (email and phone) from our website forms?

Acceptable answer: "Yes, via Google Tag Manager (or our website tag), and I can show you the tag firing correctly in the diagnostic tools."

Red flag answer: "We're using the automatic detection feature." Automatic detection sometimes works and often doesn't, depending on how your forms are built. If your team isn't manually configuring the data fields, the chance it's working correctly is much lower than they think.

Question 3 — Are we sending offline conversions back to Google when leads become customers in our CRM?

Acceptable answer: "Yes, here's how the integration works between our CRM and Google Ads, and here's the report showing offline conversions being imported each week."

Red flag answer: "We're tracking conversions at the form-fill stage." This means Google is optimizing toward form fills, not customers. Your spend is being allocated toward whoever submits the most forms, not whoever generates the most revenue. If you sell anything with a sales cycle longer than 48 hours, this is the single most expensive mistake you can be making, and it's the most common one.

Question 4 — What's our plan for the June 1 unified toggle migration?

Acceptable answer: "I've audited our current setup, identified gaps in the user-provided data fields and offline conversion sync, and we have a plan to close those gaps before the migration so we don't degrade after June 1."

Red flag answer: "Google said it's automatic, we don't have to do anything." This person is going to be surprised in July.

Question 5 — How will we know if performance degrades after the migration?

Acceptable answer: "We've documented our baseline conversion volume, cost per lead, and cost per closed customer over the past 90 days, and we'll compare against those baselines monthly through the back half of the year."

Red flag answer: "We'll just watch the dashboard." Without a documented baseline, performance degradation is invisible until it's catastrophic. Algorithms don't fall off cliffs. They drift, slowly, over months.

The lead quality problem nobody talks about

There's one more failure mode that's worth understanding, because it's the one that quietly destroys ROI for companies in service businesses, local businesses with national ad spend, and anyone whose product isn't appropriate for every geography.

When you tell Google "this lead became a customer," Google's algorithm learns from everything about that lead. Including where they were when they clicked. Including the device they used. Including the keyword they searched. Including the time of day.

If you're a window-replacement company that only services Northern California, but your form is generating leads from Florida that your team is politely declining (or worse, just letting sit in the CRM), and those Florida leads are being counted as "form fill conversions" but never as "closed customer conversions," the algorithm learns: form fills from Florida are worthless. Eventually it stops showing your ads in Florida, which is fine. But it also learns subtler patterns. Maybe certain keywords disproportionately attract out-of-area leads. Maybe certain ad creative attracts price shoppers who'll never close.

This only works if you're sending Google the closed-customer data, not just the form-fill data. Without the loop closing back from your CRM, Google has no way to learn the difference between "lead in your service area who closed at $22,000" and "lead 3,000 miles away who you'll never call back."

The June unified toggle pushes harder in this direction. Google is increasingly treating offline conversion data not as a nice-to-have but as the foundation of accurate measurement. Companies that don't close the loop are going to fall further behind companies that do, and the gap is going to compound.

The CRM piece: which platforms actually make this work

Everything in this post depends on one thing. Your CRM has to be able to talk to Google Ads and send the "this lead became a customer" message back. Without that, the rest is theater.

Not every CRM does this well. Some have native integrations. Some need third-party connectors. Some make it easy. Some make you hire a developer. Here are the five that come up most often in companies between $3M and $100M+, ranked by how cleanly they handle the Google Ads feedback loop.

1. HubSpot. Easiest setup for non-technical teams. Native Google Ads integration that captures the unique click ID (the technical name is GCLID, a tag Google attaches to every paid click so it can trace that click through your funnel) at the form-fill stage and pushes offline conversion events back to Google when deals close. Best for companies between $3M and $50M where marketing owns the funnel and the sales team works inside the same tool. The marketing-to-sales handoff is the cleanest of any CRM on this list.
2. Salesforce. Most powerful, most painful to set up. Handles complex sales processes and large account teams better than anything else. The Google Ads integration is real but it usually requires either a Salesforce admin who knows what they're doing, a HubSpot-Salesforce hybrid setup (HubSpot as marketing, Salesforce as sales of record), or a third-party connector. Best for companies over $20M with mature sales operations. If you're under $10M and on Salesforce, you're probably overpaying for capability you're not using, and the Google Ads loop is harder than it needs to be.
3. GoHighLevel. Increasingly common at the smaller end of this range (think $3M to $15M, often professional services, home services, agencies, healthcare). Captures GCLID natively, handles offline conversion sync, and is significantly cheaper than HubSpot at smaller scales. The tradeoff is that it's less mature and the user experience is rougher. Best for owner-operated businesses where the founder or a small team is hands-on with marketing.
4. ActiveCampaign. Strong for companies with a long lead-nurture cycle and an email-marketing-first culture. Captures GCLID through custom field setup and can sync conversions back to Google, but the integration is less plug-and-play than HubSpot. Best for B2B and professional services companies between $5M and $30M who treat email as their primary nurture channel.
5. Keap. Common in small business and franchise environments, especially in coaching, consulting, and service-based businesses. Captures GCLID and supports offline conversion uploads but typically requires third-party integration tools to make the Google Ads loop fully automated. Best for owner-operated businesses under $5M with a single marketer or agency.

There are other CRMs that can technically be wired up to Google Ads (Pipedrive, Zoho, Microsoft Dynamics, Close, dozens more). They can work. But they require more custom configuration, more developer time, and more ongoing maintenance to keep the data flowing correctly. If you're already on one of those tools and it's working, don't switch. If you're choosing a new CRM and the Google Ads feedback loop matters to your growth, one of the five above will save you months of headache.

The thing to understand, regardless of which CRM you use: the feedback loop is not automatic anywhere. You have to configure it. You have to test it. You have to audit it. The CRM is the engine, but the wiring between the CRM and Google Ads is custom work, and that's where most companies fail.

What this means for your budget

Three things, practically.

First, this is a 90-day window, not a one-week project. If your team or agency starts the audit this week, you have time to fix gaps before the June rollout and protect your spend through the back half of the year. If you wait until July to realize performance has dropped, you'll be diagnosing a problem that's been compounding for months.

Second, the companies that get this right are not necessarily the ones with the biggest budgets. They're the ones with the best feedback loop between their CRM and their ad spend. A $3M company with a clean CRM-to-Google integration will beat a $30M company with a black-box agency every time.

This is the moment to audit, not the moment to make big strategy changes. Don't restructure your campaigns in June. Get your data infrastructure right first. Strategy on top of broken measurement is just expensive guessing.

A note before you go

If you read all this and thought "I have no idea if my team or agency is doing any of this correctly," that's the most common reaction, and it's the entire reason this post exists. The technical layer of paid search has gotten more complex every year for a decade, and the gap between what executives can verify and what their teams are actually doing has gotten wider with it.

I write about this stuff because I think marketing leaders deserve to understand where their money is going without having to become a Google Ads specialist to find out. I'd rather have a conversation with someone who's curious about funnel optimization than sell anyone a service they don't need.

If anything in this post made you want to ask a follow-up question, or if you want to compare notes on what your team is showing you versus what's actually happening, connect with me on LinkedIn. I check messages, I respond to thoughtful ones, and I'm always up for a conversation about why someone's CPL went up 40% even though their conversion rate looks stable. That's the kind of mystery I find interesting.

// I also follow baseball, but we can save that for after we fix your attribution.