Google shipped two features this week that take aim at the most persistent blind spot in omnichannel advertising: spending real money on digital campaigns without knowing whether any of it moves people through your front door.
The first, Local Customer Optimization inside Performance Max for store goals, is live now. The second, Store Sales in Data Manager, starts rolling out at the end of September. Together they're Google's clearest answer yet to the question multi-location retailers have been asking since PMax launched: "Can you actually tell me if these ads drive in-store revenue?"
The answer is now yes. The price is your CRM data.
What Local Customer Optimization actually does
This is a new campaign-level toggle in Performance Max for store goals. When enabled, Google Ads prioritizes budget toward consumers who are actively in-market nearby — people navigating on Google Maps, planning routes on Waze, or running location-intent searches.
The logic is sound: someone pulling up directions in your category is more actionable than someone who browsed your website last week. Local Customer Optimization tries to put more budget against that first group, in the moment they're closest to walking in.
You'll see the toggle during setup when you select offline conversion goals — store visits, store sales, directions, or contacts. For campaigns already running, it's under Budget and bidding optimization in campaign settings.
One constraint worth knowing: Local Customer Optimization isn't compatible with Merchant Center. If your PMax campaign uses product feeds, this feature isn't available. It's a store-goals tool only, not a Shopping tool.
What Store Sales in Data Manager actually does
Store visit conversions — Google's existing offline metric — are modeled estimates. They're inferences based on location signals, not verified transactions. Store Sales in Data Manager is different: it imports actual purchase records.
The setup links your CRM or a Google Sheet to Google Data Manager so in-store transaction data flows directly into your Google Ads account. Once that connection is active, Smart Bidding can see which clicked-on ads led to real purchases at your checkout. The algorithm gets a verified conversion signal instead of a probability estimate.
According to Google's announcement, the setup doesn't require developer resources — a CRM connection or a formatted sheet upload inside Data Manager is sufficient. Rollout starts at end of September, which means if you're planning to use it for the holiday season, the time to prepare your data export is now.
The measurement gap these tools close
The asymmetry has always been frustrating. Google can tell you exactly how many clicks came from your campaign and at what cost. What it couldn't tell you was how many of those people then drove to your store, asked for the thing they searched for, and bought it.
For brands with meaningful physical footprint — multi-location retail, restaurant groups, service businesses — that gap is significant. You're optimizing campaign budget based on click efficiency while the actual business metric sits invisible inside your POS system.
Local Customer Optimization gives you a targeting signal that's weighted toward near-ready-to-act consumers. Store Sales in Data Manager gives Smart Bidding an actual outcome to optimize toward, rather than a modeled proxy. For the right type of business, used together before Q4, these two features address a problem that's existed since Performance Max launched.
The trade you're actually making
Connecting your in-store transaction records to Google Data Manager means Google can see your customer identities, purchase values, and buying patterns. That data improves Smart Bidding on your campaigns, which is what Google will tell you. It also enriches the inference models that power their auction more broadly — that's the structural reality.
This doesn't make the features not worth using. For omnichannel brands where Google drives meaningful local intent, the measurement improvement almost certainly justifies the data exchange. But it belongs in the same mental bucket as Meta CAPI and Enhanced Conversions: you're handing a first-party data asset to the platform running the auction where you compete every day.
Go in with clear eyes about what you're giving up. Run the feature, measure the lift, and verify it with an independent tool like Meridian GeoX if you want a number that doesn't come from Google's own attribution.
What to do before end of September
Two actions if you run PMax for store goals:
First, open your campaign settings and look for the Local Customer Optimization toggle. It's rolling out now but not universally available yet. If it's there and you have offline conversion goals, turn it on — there's no downside for campaigns already optimizing toward store visits.
Second, pull your in-store transaction records and check what format they're in. Store Sales in Data Manager accepts customer identifiers (hashed email or phone) matched against ad interaction data. A clean export from your CRM or POS system takes time to prepare. Start that work now so the data pipeline is ready when the feature reaches your account at month's end.
Store visit estimates have always been Google's best guess. Store Sales in Data Manager makes in-store attribution a measured fact — and Q4 is three weeks out.
If your account doesn't have conversion tracking set up to take advantage of these features, the free audit at Gromerce shows you exactly what's missing in about three minutes.
Sources: Search Engine Land, Search Engine Journal, Google Ads Help Center, September 2026
