Google Ads Location Targeting in 2026 – Presence vs. Interest, Radius Targeting & Location Exclusions

Every dollar you spend on Google Ads geo-targeting is either reaching a potential customer or funding a click that will never convert. Misconfigured geographic settings are one of the most common causes of wasted PPC budget — ads appearing in cities you don’t serve, countries you’ve never shipped to, or regions where your service simply doesn’t exist. Whether you’re a local business running radius targeting, a B2B marketer covering specific sales territories, or an e-commerce advertiser managing international campaigns, getting your Google Ads location options right is not optional. This guide covers the full range of location targeting in 2026: how Presence vs. Interest works, how to configure radius targeting, how to implement Google Ads location exclusions correctly, and how to diagnose campaigns that are bleeding spend outside your target area.

What Is Google Ads Location Targeting and How Does Geo-Targeting Work?

Google Ads location targeting allows your campaigns to appear in the geographic locations you select. Those locations can be entire countries, areas within a country (regions, states, cities, or postal codes depending on the country), or a radius drawn around a specific address.

The important distinction is that Google Ads geo-targeting does not simply draw a precise line on a map and guarantee that only users inside that line see your ads. According to Google’s official documentation, location targeting is based on a variety of signals — including users’ device settings, physical location data, and behavior on Google’s platform — and is Google’s best effort to serve ads to users who meet your location settings. Complete accuracy is not guaranteed in every situation.

This matters in practice because Google also considers where users have shown interest, not just where they physically are at the moment of a search. A user in London searching for “plumbers in Manchester” may qualify under a Manchester-targeted campaign if interest-based targeting is active — even though that user will never actually be in Manchester.

Google Ads location targeting is also different from true real-time GPS geofencing as used in some mobile advertising platforms. Geofencing relies on a device entering a precise physical boundary and triggering an ad in near real-time. Google Ads location targeting works at the campaign level using broader signals and cannot be treated as a precise GPS boundary trigger. Understanding this distinction helps set appropriate expectations and informs better configuration decisions.

Illustrative example: A dental clinic in the northern suburbs of Mumbai targets Mumbai city. A user in Pune who recently searched for dental clinics in Andheri and browsed related pages may still see the ad under the default “Presence or Interest” setting. That user cannot physically visit the clinic the same day — which is exactly the kind of targeting leak this guide addresses.

Google Ads Location Options: Presence vs. Interest Explained

What Is the Difference Between Presence and Interest in Google Ads?

When you set up location targeting in Google Ads, you also choose a location option that determines which people qualify based on their relationship to those locations. Google’s advanced location options documentation describes two current options:

Presence or Interest (default): Your ads can reach people who are likely to be physically located or regularly present in your targeted locations, as well as people who have shown interest in those locations. Interest is determined by signals such as search terms used, recent visits to a location, or content viewed related to that area. This is the broader of the two options and is the current recommended default for Search campaigns.

Presence: Your ads reach people who are likely to be physically located in, or regularly present in, your targeted locations. This option does not extend eligibility to people who are simply researching or expressing interest in the area.

For location exclusions, the default behavior is “Presence” — meaning excluded areas block people who are likely located there. This is the correct and expected behavior; you would not want to exclude users who merely searched about an area but are actually located inside your service zone.

Here is a comparison of the two positive targeting options:

Factor	Presence	Presence or Interest
Who may qualify	People likely in or regularly in the targeted area	People in the area, plus those who have shown interest in it
Potential reach	More restricted	Broader
Typical use cases	Physical storefronts, service-area businesses, local lead gen	Travel, real estate, education, e-commerce, national brands
Local storefront suitability	High — aligns with physical visit intent	Lower — may attract non-local searchers
B2B suitability	High when service territory is strict	Moderate — useful for awareness campaigns
Potential drawback	Fewer impressions; may miss relevant users researching the area	May attract users outside your actual service area

Important note on hotel campaigns: According to Google’s documentation, hotel campaigns use only “Presence” targeting. This is not configurable and applies exclusively to that campaign type.

Google Ads Presence or Interest Default 2026: What Advertisers Should Know

The current default positive location option across Search, Display, and Demand Gen campaigns is “Presence or Interest.” This was confirmed through Google’s official documentation, which also notes that a previous option called “Search Interest” has been retired for positive targeting in Search, Display, and Shopping campaigns — it is no longer a valid value and attempting to set it via the API returns an error.

For negative location targeting (exclusions), the default and only available option is “Presence.” Attempting to set exclusions to “Presence or Interest” for Search, Display, Performance Max, and Shopping campaigns also returns an error.

What does this mean for advertisers in practice?

• If you created a campaign without explicitly checking location options, it is running on “Presence or Interest” by default.
• Switching to “Presence” will typically reduce your impressions, because you are no longer reaching the interest-based portion of your audience. Google notes that most campaigns will see a decrease in impressions when switching away from the default.
• Switching makes sense when your business requires physical proximity — a restaurant, a clinic, a gym, a law firm — and interest-based traffic from non-local users has no commercial value.

Choosing the right default is a business decision, not a universal best practice. Keep the default if broader reach serves your goals; switch to Presence if your conversion depends on the user physically being able to visit or be served.

Google Ads Presence vs Interest B2B: Which Setting Should You Choose?

B2B advertisers face a more nuanced decision than local consumer-facing businesses. Consider these scenarios:

• An industrial machinery supplier covering five specific states does not want leads from outside those territories — the logistics and sales coverage simply do not exist. For this advertiser, “Presence” keeps the geographic signal tighter and avoids generating leads the sales team cannot follow up.
• A SaaS business targeting companies across three countries may actually benefit from “Presence or Interest” if decision-makers in those target markets frequently travel or work remotely. A software buyer researching procurement tools from a hotel in a different city could still be the ideal prospect.
• A regional manufacturer seeking qualified distributors in an industrial cluster should consider whether the buyer decision is made on-site or remotely. If buyers are location-agnostic in their research (as is common in B2B), interest signals are valid targeting.
• A B2B services firm targeting a specific business district should evaluate whether their CRM data shows lead quality differences between users physically in the city versus users who searched about it.

One critical clarification: location settings do not identify a person’s job title, company, or purchasing authority. A Presence-only setting restricts where someone is, not who they are. Pairing location targeting with audience segments, keywords, and ad messaging is what makes B2B campaigns precise.

Google Ads Location Targeting Strategy for Different Business Models

Location Options for Physical Storefronts

Retail stores, restaurants, clinics, gyms, and service businesses that need customers to physically visit benefit from tight geographic targeting. The right approach depends on the specific business, not a prescribed radius.

A dental clinic in a mid-size city may find that patients travel no more than 15 kilometres — in which case a radius around the practice address or city-level targeting makes sense. A specialist medical centre may draw from across a state. Understanding where existing customers actually come from is more useful than applying a default recommendation.

Linking a Google Business Profile to your Google Ads account allows you to use location assets, which merge your address and phone number with the ad and can improve relevance for users looking for a nearby business. If your business locations are in a specific country and you want to reach users near each location, you can also set radius targeting around those linked assets.

When setting a radius, be realistic about the geography. A restaurant in a suburban area with limited public transport access has a different realistic catchment than a restaurant in a city centre with a metro station nearby.

How to Optimize Google Ads for Local Business

A practical framework for local advertisers:

1. Identify the real service area. Use customer data — postcodes, delivery records, booking origins — not assumptions about your city boundary.
2. Map targets to coverage. Only target locations where you can actually serve customers. Targeting beyond your coverage generates enquiries you cannot fulfil.
3. Align all campaign elements. Keywords, ad copy, location assets, landing pages, and business hours should all point to the same geographic audience. An ad targeting Brighton but landing on a generic homepage with no location reference loses relevance.
4. Use conversion outcomes that matter. Store visits (where available), calls, bookings, and offline sales are more meaningful than raw click volume for local businesses.
5. Check geographic reports before expanding. Reviewing where clicks and conversions are actually coming from before adding or removing locations prevents both under- and over-targeting.

Illustrative example: A physiotherapy clinic in Bengaluru’s Koramangala neighbourhood targets both Koramangala and nearby areas like HSR Layout and BTM Layout, based on patient booking data showing a 12-kilometre average travel distance. They exclude areas with poor conversion history and check the User Locations report monthly.

B2B Google Ads Location Strategy

B2B campaigns typically require a broader geographic approach than a single city radius but should still be anchored in real data.

Effective B2B geographic strategy uses: sales territories and coverage maps; existing customer and closed-won CRM data showing where deals originate; regional differences in lead quality and average deal size; service and delivery constraints; and account-team capacity (no point generating leads in regions with no sales follow-up).

For a company selling industrial equipment across India’s western states, targeting Maharashtra, Gujarat, and Rajasthan separately — with the option to apply different bids or even separate campaigns per state — gives more control than a single national campaign. Separate campaigns allow you to tailor bids, budgets, and messaging by region, and to pause a region quickly if sales capacity changes.

B2B campaigns may also need to consider that a single relevant prospect’s click from a correctly targeted region is worth substantially more than many consumer-equivalent clicks. This changes how you evaluate cost per click and set geographic exclusions — excluding a location because it shows low volume is different from excluding it because lead quality from that area does not convert to revenue.

Google Ads Radius Targeting: How to Set a Radius Around an Address

How to Set Radius Targeting in Google Ads

The following steps reflect the current Google Ads interface based on official setup documentation:

1. In your Google Ads account, click the Campaigns icon in the left navigation.
2. Click the Audiences, keywords, and content dropdown in the section menu.
3. Click Locations.
4. Click the name of the campaign you want to edit.
5. Click the blue pencil icon to open the location editing panel.
6. Select the Radius radio button option.
7. In the search box, enter the specific address you want to use as the centre of the radius.
8. Enter the radius distance and select your unit of measurement (km or miles) from the dropdown.
9. Check the map to confirm the coverage area looks correct.
10. Click Save to add the radius target.
11. Click Save again on the locations settings page.

Note: Navigation may vary slightly depending on your interface version. The underlying steps — selecting a campaign, opening location settings, choosing radius, entering address and distance, confirming on the map, saving — remain consistent.

Address Based Radius Targeting Google Ads: Choosing the Right Coverage Area

No single radius suits all businesses. The appropriate radius depends on:

• Customer travel patterns. Where do your existing customers actually come from? Booking or purchasing postcodes tell you more than guesswork.
• Service or delivery area. A plumber may cover a 30-km radius; a same-day florist may cover 10 km.
• Population density. A 5-km radius in a dense urban area may reach hundreds of thousands of people; the same radius in a rural area may reach very few.
• Competitor distribution. If three competitors are clustered in the same neighbourhood, a tighter radius focused on underserved adjacent areas may perform better than a broad circle covering all of them.
• Conversion data. If you have enough historical data, look at where your converting users are physically located and calibrate the radius accordingly.

Testing multiple radius sizes is appropriate when you are starting out with limited data. A layered approach — running a tighter radius alongside a broader one with lower bids — can reveal where your strongest performance clusters are.

City or postal code targeting is often more appropriate than radius targeting when your service area aligns with administrative boundaries rather than a circle. A company serving all businesses within a specific industrial estate, for example, might be better served by the postal code than by a radius that cuts across unrelated residential areas.

Google Ads Minimum Privacy Thresholds Radius: What You Need to Know

Google’s documentation explicitly states that Google Ads only permits targeting for locations that adhere to minimum privacy thresholds, where minimum area and minimum user counts are met. The minimum radius for any given address is 1 km. Radius targeting under 1 km is not permitted in the Google Ads interface.

Setting a very small radius (at or near the 1-km minimum) may result in ads showing intermittently or not at all, because small targets might not meet the traffic thresholds required for campaign delivery. If your desired location target does not meet the privacy threshold, it will not be available to select in the Google Ads interface.

Radius targeting also does not guarantee that every person within the circle sees your ads, nor does it block everyone outside it. It is a targeting signal used alongside other eligibility criteria, not a hard physical boundary.

Can Radius Targets Be Excluded in Google Ads?

This is a question that comes up frequently. The direct answer is: you cannot add a radius as a negative location exclusion in the same way you add an administrative area as an exclusion. Google Ads location exclusions work primarily at the level of countries, regions, cities, and postal codes.

What you can do:

• Remove a positive radius target if you no longer want it as an included area. This is not the same as excluding it — it simply removes the targeting.
• Exclude administrative areas (cities, postal codes, states) that overlap with parts of your radius you want to avoid. For example, if your 20-km radius extends into a neighbouring city you cannot serve, you can add that city as a location exclusion. Because exclusions take priority over targeting, the overlapping city will be blocked.
• Use Google Ads Editor for bulk management of both targets and exclusions. Editor supports proximity targets in CSV imports using the format (distance:latitude:longitude), for example (10mi:33.728536:-118.084102) or (20km:54.162434:-112.148438).

If you need very precise exclusions within a radius, the most practical approach is to identify the administrative areas (postal codes or cities) within your radius that you want to exclude and add them explicitly as location exclusions.

Google Ads Location Exclusions: How to Stop Irrelevant Geographic Clicks

How to Exclude Locations in Google Ads

According to Google’s documentation, setting up location exclusions is very similar to setting up location targeting. Here are the current steps for excluding individual locations:

1. In your Google Ads account, click the Campaigns icon in the left navigation.
2. Click Settings.
3. Expand the Locations section from the settings menu.
4. You have two options:

• Search for the area you want to exclude in the search box and click Exclude.
• Click Advanced search, find the location, and click Exclude.

5. Click Save to confirm. Excluded locations will appear under the “Excluded locations” heading.

If you enable “Show locations on map,” excluded locations will appear with a red outline.

Priority rule: If an area is both targeted and excluded, exclusion takes priority. If you exclude the state of Karnataka but also target the city of Bengaluru, Bengaluru will not receive traffic because it is located within Karnataka.

There is no need to explicitly exclude areas you have never targeted — Google will not show ads in untargeted locations unless interest-based eligibility or “Presence or Interest” is bringing in unexpected traffic. In that case, the correct fix is adjusting location options, not adding exclusions for every place you have not targeted.

How to Exclude Specific ZIP Codes in Google Ads

Postal code exclusions work the same way as city or state exclusions. You search for the postal code in the exclusions interface and click Exclude.

Important caveats:

• Format and availability vary by country. In India, postal codes (PIN codes) are six digits. In the US, ZIP codes are five digits. When entering a postal code in the search box, include the state or country name to ensure you are targeting the right area — for example, searching “400001, Maharashtra” to find the Mumbai Central PIN code rather than a numerically similar code in another country.
• Not all postal codes are targetable. Google’s targetable location list is based on privacy thresholds and data availability. If a PIN code is not in the system, you may need to target the district or city instead.
• Postal code exclusions are most useful when you serve most of a city but not specific neighbourhoods. Excluding an entire city because one suburb is problematic is an overcorrection.

Bulk Location Exclusion Google Ads Editor

For advertisers managing large lists of exclusions, Google Ads Editor is the most efficient tool. The bulk exclusion workflow in Editor:

1. Prepare your location list. Compile the countries, states, cities, or postal codes you want to exclude into a structured format. Identify the correct campaign(s) for each exclusion.
2. Open Google Ads Editor and select the target campaign(s).
3. Navigate to Keywords and Targeting > Locations in the type list.
4. Use Make multiple changes to paste your location exclusions into the grid — or import a CSV file with a Location column and, optionally, a Location ID column for precision.
5. For proximity-based entries in CSV, use the format: (distance:latitude:longitude), e.g., (10mi:33.728536:-118.084102).
6. Click Process to validate the list.
7. Select Finish and review changes and check for unresolved or yellow-flagged locations. Resolve any ambiguous matches before applying.
8. Apply the changes and verify that exclusions appear correctly in the interface after upload.

Note: In the main Google Ads interface, you can also add up to 1,000 location exclusions at a time using the bulk exclusions feature. The number of locations you exclude should not exceed the number of locations you are targeting per campaign.

How to Stop Google Ads Outside the Target Area

If you are seeing clicks or impressions from unexpected geographic areas, work through this troubleshooting checklist before making changes:

• Check the correct campaign’s settings. Confirm you are reviewing the campaign that is actually generating the unexpected traffic, not a different one.
• Verify the location option. Is it set to “Presence or Interest”? If your business requires users to be physically present, switching to “Presence” may reduce out-of-area impressions.
• Review your location exclusions. Are there gaps? Common oversights include excluding a state but missing a city that borders your territory, or forgetting to exclude nearby countries when targeting a border region.
• Check the Geographic Performance report. The User Location report shows where clicks and impressions actually originated (physical location), while the Location report shows where targeting matches (which can include interest-based matches). Compare both to understand the source of unexpected traffic.
• Look for nearby or related areas Google associates with your target. Google’s location signals are not perfectly precise. A city on the edge of your radius or adjacent to your targeted area may generate some traffic.
• Confirm the campaign-level settings are correct. Account settings and individual campaign settings can differ; check both.

One important reminder: geographic discrepancies do not always indicate a configuration error. Google uses signals to estimate location, and some level of geographic noise is inherent to the system. A single configuration change will not eliminate every out-of-area click. The goal is to reduce waste to an acceptable level, not to achieve perfection.

When you find that campaigns are generating consistent low-value clicks that cost you money without producing qualified leads or conversions, that’s a signal worth auditing your PPC campaigns for wasted ad spend — location targeting is one important lever, but it sits alongside keyword match types, device settings, scheduling, and audience layering.

Performance Max Location Exclusions and Demand Gen Location Targeting in 2026

Performance Max Location Exclusions

Performance Max campaigns support both “Presence or Interest” (recommended) and “Presence” targeting, and they support location exclusions. According to Google’s PMax troubleshooting documentation, if you notice your PMax campaign serving in unintended geographic areas, add those areas as negative locations through this path:

1. Go to Locations within the Audiences, keywords and content dropdown.
2. Select the Exclusions tab.
3. Click Edit locations (pencil icon).
4. Enter the location to exclude and click Save.

One important distinction: campaign-level placement exclusions are not yet available for Performance Max campaigns. Account-level and MCC-level placement exclusions are respected. This means that if you want to exclude specific websites, YouTube channels, or apps, those exclusions must be set at the account level — not campaign level. Do not confuse placement exclusions (which affect where ads appear across the web) with location exclusions (which affect whose geographic location triggers the ad). They are entirely different controls.

For PMax campaigns showing persistent unexpected geographic traffic: first verify the location settings and exclusions, then check whether the asset groups have audience signals that might be extending reach in unexpected directions. Location exclusions and audience signal refinement work together in PMax but should not be conflated.

Demand Gen Location Targeting

According to Google’s Demand Gen documentation, Demand Gen campaigns support location targeting at both the campaign and ad group level. Available options include country, region, metro, geo, and proximity targeting.

For location options, Demand Gen follows the same “Presence or Interest” default and recommendation as Search and Display. The documentation explicitly states: “The default and recommended setting allows you to target individuals who are either physically located in or frequently visit your specified location, as well as those who have expressed an interest in those areas.”

A key consideration for Demand Gen is that the campaign is fundamentally audience-driven. Location is one of several targeting dimensions alongside demographics, custom segments, in-market audiences, and first-party data lists. Setting location at the ad group level in Demand Gen allows for tailored messaging to specific geographies within a single campaign structure.

Because Demand Gen serves across YouTube, Discover, and Gmail, the geographic signal is applied across a broader set of placements than Search. If your Demand Gen campaign is generating traffic from unexpected regions, check both the location settings and the audience signals; a broad audience segment may be pulling users from beyond your intended geography.

Google Ads Advanced Location Options Update: What Changed and What Remains Relevant

No material new changes to Google Ads location options were identified as announced specifically for 2026 in the documentation reviewed. The most substantive structural change in recent history was the migration away from the old “Search Interest” positive targeting value, which is no longer supported for Search, Display, and Shopping campaigns. Location exclusions were also migrated to “Presence” as the only valid exclusion setting for the main campaign types.

The addition of AI Max for Search campaigns introduces an ad-group-level “Locations of interest” feature, which allows advertisers to specify locations users are searching about, even if those users are not physically in the target area. This is a distinct control from the campaign-level location option and applies specifically when AI Max is enabled. Users matching an ad group with locations of interest must still meet campaign-level geo-targeting criteria.

These are active product features that remain relevant for 2026 configuration. Advertisers should verify their account settings reflect the current interface rather than assuming older configurations are still in force.

Google Ads Local Campaigns and Local Campaign Optimization in 2026

The original “Local campaigns” campaign type was retired by Google and its functionality was transitioned into Performance Max campaigns, which can be configured with local goals including store visits. If you are reading older PPC articles that describe Local campaigns as a current standalone option, that information is outdated.

In 2026, local campaign optimization refers to using Performance Max with appropriate local goals, location targeting, Google Business Profile integration, location assets, and conversion measurement that accounts for store visits and offline actions. Specifically:

• Link your Google Business Profile to Google Ads to access location assets and store visit measurement where available.
• Configure Performance Max with location targets that reflect your actual store or service area.
• Use location exclusions to prevent spend in areas outside your coverage.
• Review the geographic performance report to identify which areas are contributing to store-relevant conversions.

The underlying principle remains the same: geographic targeting should match where your business can actually serve customers.

Google Ads Budget Waste Location Settings: How to Diagnose Geographic Waste

Wasted spend from poor geographic targeting typically has identifiable causes. The most common ones:

• Targeting locations the business cannot physically serve or deliver to.
• Running “Presence or Interest” on a campaign that requires physical proximity, which is bringing in non-local searchers.
• Missing exclusions for adjacent areas, neighbouring countries, or regions where the business has no presence.
• Using a radius that is far too large relative to the actual service area or customer travel patterns.
• Treating all regions as equally valuable without reviewing lead quality — a region producing high click volume but no qualified conversions is a budget drain even if the cost-per-click appears low.
• Targeting only the physical business location when customers are actually in a different area (for example, a manufacturer who sells to customers three cities away).
• Misinterpreting geographic reports — the Locations report shows where targeting matched, while the User Locations report shows physical origin. Confusing the two leads to incorrect exclusion decisions.
• Making changes before enough data is available. Excluding a location after 50 clicks with no conversions may be premature, depending on campaign scale.

For a systematic approach, using AI-driven PPC marketing strategies can help identify patterns in geographic performance that manual analysis might miss — though no automation eliminates the need to understand your location settings first.

How to Prevent Out-of-Market Clicks in Google Ads

Use this pre-change audit checklist before making any geographic adjustments:

• [ ] Confirm the exact market your business serves (where it can actually deliver value to a customer).
• [ ] Check the current location option — “Presence” or “Presence or Interest” — for each affected campaign.
• [ ] Review all active location targets and confirm none are unintentionally broad.
• [ ] Check the location exclusions list for gaps.
• [ ] Open the Geographic Performance report and compare spend, conversions, cost per conversion, and qualified lead rate by location.
• [ ] Use the User Locations report to see physical origin data, not just targeted location data.
• [ ] Assess whether your conversion tracking is reliable — if offline conversions are not being imported, you may be under-reporting results from certain regions.
• [ ] Implement justified exclusions or targeting changes based on actual data.
• [ ] Allow sufficient time after changes before evaluating results.

Low CTR or conversion rate in a location is not automatically sufficient reason to exclude it. A location may have low conversions because bids are too low, ads are irrelevant, or the landing page does not address local needs — not because the geographic target is wrong. Investigate the full picture before excluding.

Why Are My Google Ads Showing in Other Countries?

There are several reasons why a campaign appears to serve outside its intended country or region:

1. Interest-based eligibility. If “Presence or Interest” is active and users in other countries are searching about your target location, they may qualify. This is not a bug — it is the expected behaviour of the setting.
2. Geographic signal estimation. Google estimates location from multiple signals. If a user’s signals are ambiguous — for example, they use a VPN, travel frequently, or have inconsistent location history — their physical location estimate may not match reality.
3. Nearby geographic associations. Google sometimes associates smaller areas with their surrounding region in ways that create minor geographic overlap at boundaries.
4. Reporting interpretation. The Location report shows where targeting matched, which includes interest-based matches. The User Locations report shows physical origin. If you are seeing unexpected countries only in the Location report and not the User Locations report, the discrepancy may be targeting-based rather than a delivery error.

Troubleshooting workflow:

1. Open the User Locations report and filter by country to confirm actual geographic delivery.
2. Check the campaign’s location settings and location option.
3. If the campaign is set to “Presence” and you are still seeing traffic from outside your target, review your excluded locations list for gaps.
4. If you are targeting a border region, consider adding explicit country-level exclusions for neighbouring countries you do not serve.

How to Fix Google Ads Location Targeting Leak

A “location targeting leak” refers to consistent, meaningful spend reaching geographic areas outside your intended service zone. Here is a numbered diagnostic procedure:

1. Pull the User Locations report for the last 30–90 days. Filter to identify specific countries, states, or cities generating unexpected spend.
2. Check the location option. If set to “Presence or Interest,” determine whether interest-based traffic from out-of-area users has commercial value. If not, switch to “Presence.”
3. Review current exclusions. Add any high-spend, out-of-area locations as explicit exclusions.
4. Check radius size. If using radius targeting, verify the radius is not extending into areas you cannot serve. Reduce if necessary, or add postal code exclusions for the overlap area.
5. Verify campaign type. For Performance Max, use the Exclusions tab under Locations to add negative locations. Confirm you are not confusing placement exclusions with location exclusions.
6. Monitor after changes. Allow 2–4 weeks before assessing the impact. Location changes affect which users qualify, which affects Quality Score, impression share, and conversion volume.
7. Distinguish a real leak from reporting noise. If unexpected traffic is under 1–2% of total spend, it may be within normal geographic signal variation rather than a configuration error worth aggressively excluding.

Google Ads Location Bid Adjustments and Geographic Performance Reporting

Google Ads Location Bid Adjustments: When Should You Use Them?

Location bid adjustments allow you to increase or decrease bids by a percentage for specific geographic areas. They are most useful when:

• A specific city or region generates disproportionately high-quality conversions, justifying a higher bid.
• Certain areas have significantly higher cost-per-conversion than others, suggesting a downward adjustment.
• Different parts of your target market have different customer lifetime values by geography.

Critical limitation: If you are using automated bidding strategies (Target CPA, Target ROAS, Maximize Conversions, Maximize Conversion Value), manual location bid adjustments have limited or no effect in most cases. Automated bidding strategies factor geographic performance signals directly into the algorithm’s bid decisions. Before applying manual adjustments to an automated bidding campaign, confirm in your account and in Google’s current documentation whether the adjustment will be respected.

For accounts using manual CPC or enhanced CPC bidding, location adjustments can be set at the campaign level. Running separate campaigns for high-value geographic areas is often more effective than bid adjustments when a region justifies materially different budgets, messaging, and bid strategies.

How to Measure and Optimize Geographic Performance

Geographic performance data is available through two reports:

• Locations report: Shows performance by the location targeting matches — where the targeting algorithm matched users, which includes interest-based matches.
• User Locations report: Shows where users were physically located when they triggered the ad. This report is more useful for understanding real delivery geography.

The metrics that matter:

• Spend and clicks — to understand volume distribution.
• Conversions and conversion rate — to understand which areas are productive.
• Cost per conversion — to identify areas that are expensive relative to results.
• Conversion value / ROAS — for e-commerce or value-based measurement.
• Qualified lead rate and revenue — for B2B, where raw conversion volume may not reflect deal quality.

Illustrative example: A B2B software reseller targeting three states reviews 60 days of geographic data. State A has 45% of clicks and 60% of conversions at a cost per conversion well below the account average. State B has 35% of clicks but only 15% of conversions at twice the account-average CPL. State C has the remaining share with acceptable but unremarkable performance. The decision: increase budget and bids for State A (potentially via a dedicated campaign), investigate why State B is expensive (landing page relevance? Audience quality?), and hold State C steady pending more data.

Understanding where your geographic performance differs is also part of anticipating search intent using predictive SEO — users in different regions may be at different stages of the purchase journey or searching with different intent signals, which affects how you target and what you bid.

Required Practical Decision Framework

Use this framework as a starting point. Validate initial choices with account performance and real business coverage.

Business situation	Suitable starting approach	Important consideration
Single physical storefront	Radius around address (match to real customer travel range) or city-level targeting; Presence option	Test radius sizes; review customer postcodes before setting
Service-area business (mobile, delivery)	Radius or postal codes matching service area; Presence option	Exclude adjacent areas you cannot serve
Multi-location retailer	City or postal code targeting per location cluster; consider separate campaigns per region	Avoid overlapping campaigns bidding against each other
B2B company serving selected states	State/region targeting; evaluate Presence vs. Presence or Interest based on sales territory rules	Separate campaigns per region for budget and bid control
National e-commerce advertiser	Country targeting; Presence or Interest default is appropriate	Use geographic reports to allocate more budget to high-ROAS areas
International lead-generation campaign	Country-level targets; Presence or Interest; explicit exclusions for non-target countries	Review User Locations report regularly; watch for interest-based noise
Business receiving irrelevant geographic clicks	Audit location option (switch to Presence if needed); add exclusions for confirmed out-of-area spend	Diagnose cause before excluding — check reports first

FAQs

Conclusion

Getting Google Ads location targeting right is less about finding a universal best setting and more about matching geographic configuration to real business coverage. The Presence vs. Interest distinction is not a performance lever to toggle for more volume — it is a relevant decision about whether interest-based traffic has commercial value for your specific model. Radius targeting requires honest input about where customers actually come from, not assumed coverage areas. Location exclusions are most powerful when they are built on geographic performance data, not guesswork.

The investment required to audit and correct geographic settings is small relative to the budget that misconfigured campaigns can drain over months. Review your location reports, verify your location options, confirm your exclusions, and set bids and budgets based on where your actual conversions originate. Geographic performance is one of the clearest signals available in any PPC account — use it.