Google Ads Location Targeting: Audit Reach Against Where You Can Serve

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Google Ads location targeting needs to answer a practical question: does your advertising reach people whose enquiries your business can actually serve? A campaign can name the right city and still need a closer review. The selected area, the meaning of the location option, the job address and the report you are reading are different pieces of evidence.

For a Canadian service business, this matters at the edge of every territory. A technician may cover one municipality for emergency repairs but accept planned installations farther away. A customer may arrange work on a local property while travelling. A regional campaign may include a pocket your team cannot reach within the advertised response window. The audit should make those distinctions visible before anyone changes a setting.

This guide explains the current options, shows how to document a service area, and provides a repeatable way to compare intended coverage with reported activity and qualified enquiries. The operational framework and acceptance checks are editorial recommendations. Every business scenario and numerical illustration below is fictional; none describes a Canada Create client or an observed campaign result.

Start with three separate location questions

First, where can the work happen? This is the service location: the property, delivery destination, appointment location or other place where you fulfil the offer. Operations should define it in terms the person answering an enquiry can use. “Around Toronto” is not enough when different employees interpret it differently.

Second, which relationship to that area should make someone eligible for the campaign? A person currently outside the service area might own a property inside it. Conversely, someone standing inside the area might request work somewhere you do not serve. Choosing the targeting option is a commercial decision about those situations, not simply a map-drawing exercise.

Third, what does the available evidence actually describe? An advertising report, an enquiry form and a booking record answer different questions. An area associated with ad activity is not a verified job destination. A booked appointment is not evidence of the customer’s exact location when the ad appeared. Keep these meanings attached to the data throughout the review.

Use a short campaign purpose statement to connect the three: “Advertise scheduled furnace replacements for properties in the approved installation territory, and assess success through qualified requests for those properties.” That is a fictional planning example. It gives the reviewer a clear objective without assuming that every buyer must be physically beside the furnace while searching.

Canada Create’s home services marketing guide covers the broader relationship between advertising, staffing and booked jobs. Here, the focus is narrower: specifying coverage, interpreting the location controls and checking the resulting reach.

Understand Presence and Presence or Interest

Google documents two inclusion options: Presence reaches people it considers likely to be in an area or regularly there; Presence or Interest also includes people showing interest in that area. Google identifies the latter as its default and recommended option. Location exclusions use Presence, so interest in an excluded place alone is not the same as being excluded. These are signal-based decisions, not a guarantee of a person’s exact position. See Google’s advanced location options.

For a tightly bounded local service, Presence is a reasonable starting hypothesis when the business wants to concentrate on people associated with the area itself. Write down why that choice fits the offer. The explanation should be specific enough that another manager could judge it: the campaign promotes same-day appointments, the operating territory is small, or the business has decided not to pursue buyers arranging work remotely.

Presence or Interest can be worth evaluating when the buyer and the service destination are often different. In a fictional example, a property manager outside Ottawa requests maintenance at an Ottawa building. The business may want that opportunity. An interest-inclusive strategy still needs a clear service-location question and a commercial reason to pursue those enquiries.

Do not treat either option as a badge of good management. The right decision depends on the offer and on how the business qualifies work. More enquiries can create more screening work. Fewer enquiries can include the loss of useful demand. The audit should consider both effects rather than celebrate a smaller traffic number on its own.

Record the current option, the proposed option, the reason and the evidence that would justify keeping the change. A useful hypothesis might be: “Concentrating this emergency campaign on Presence should improve the share of enquiries for work in our dispatch territory without reducing qualified demand beyond our agreed tolerance.” This is a proposal to evaluate, not a promised result.

Check which campaign rules apply

A location audit needs a campaign inventory. Similar campaign names do not prove that the controls, settings level or reporting views are identical. Start with the campaign type and objective, then identify where its location settings are actually maintained.

The Search, Display and Hotel option details are covered in Google’s advanced options documentation; the Hotel radius limitation appears in its geographic targeting instructions. The geographic targeting instructions also explain AI Max’s optional ad group locations of interest. Users must satisfy both those controls and campaign geotargeting; campaign-excluded locations cannot be used for this feature. Performance Max has separate location troubleshooting guidance.

For Demand Gen, Google’s campaign FAQ says location and language are controlled at one level, not simultaneously at both; radius targeting is available at campaign level. Its audience overview also documents presence and interest. Inspect the actual configuration rather than relying on an old screenshot or assuming the Search workflow applies.

Keep lead generation separate from objectives centred on visits to a physical business. An office address is not automatically the right centre for a field-service territory. If the campaign uses business-location features or a specialised store objective, include that configuration in the scope before interpreting its map. This guide does not replace the documentation for those setups.

Write the service-area specification before editing the map

Download the location-targeting audit kit (ZIP): an editable audit worksheet and fictional service-area, acceptance-check and change-log templates.

The service-area specification is the operating agreement behind the campaign. It should be approved by someone who understands delivery capacity, not assembled solely from a list of attractive city names. Begin with one offer. A business that provides repairs, installations and inspections may need three different coverage decisions even if one team delivers all three.

For each offer, record the areas accepted without an exception, the areas accepted only under stated conditions, and the areas not served. Conditions could include scheduled availability, a minimum project scope or a particular appointment day. Use only conditions the business genuinely follows. An informal willingness to “sometimes travel farther” is not a reliable advertising promise.

Next, define what counts as inside each area. Municipal names, available postal regions and named corridors may be useful, but they should not hide ambiguity at boundaries. If only part of a municipality is serviceable, describe the operational boundary clearly and note whether Google offers a target that approximates it. An internal service rule can be more precise than an advertising control.

Record who owns each boundary and when it was last reviewed. A territory may change when a crew moves, a route becomes impractical, or a seasonal service closes. The document needs a change owner so the advertising team hears about those developments before customers do.

A useful specification contains these fields:

• Service or offer, with the promised response or appointment window.
• Accepted territory, conditional territory and unserved territory.
• Operational reason for each boundary or exception.
• Proposed Google target and any gap between that target and the service rule.
• Enquiry qualification question and the team responsible for resolving ambiguity.
• Approval date, review date and the person accountable for updates.

Do not expand the operating territory just because an advertising interface offers a larger region. If the business wants to explore a new area, label it as an expansion proposal with its own capacity decision. Keep established service coverage and prospective coverage distinct so a trial does not silently become a public commitment.

A fictional service-area map in table form

The following is a schematic territory for a completely fictional heating business, Example Heating Team. The zone names are invented and have no coordinates or relationship to real homes. The table illustrates decisions; it is not a claim that these zones exist as selectable Google Ads locations.

The difference between Central and North is not distance alone. It is the job the business will accept. One large circle around the depot would hide that distinction. A campaign that advertises emergency availability throughout the circle would be making an operating promise the fictional team cannot fulfil.

The East boundary has a different problem: uncertainty. The team should not mark that zone as fully accepted or fully rejected merely to make a spreadsheet look complete. Assign an owner, resolve the practical boundary, and decide whether a broader target with qualification is acceptable. If it is not, use a narrower supported approach or postpone advertising that part of the territory.

In a real worksheet, replace the fictional labels with business-approved areas. The advertising map should remain a representation of the specification, while operations retains responsibility for the underlying service decision.

Translate coverage into available targets

Choose the simplest set of supported targets that reasonably represents the approved service area. The goal is a configuration another person can explain and maintain. A long location list is not automatically more accurate, and a broad target is not automatically wrong. The decision depends on how closely each option represents the work you can accept.

Google offers country, sub-country and radius targeting, with availability varying by country. Small targets may have limited delivery. Google also applies privacy thresholds and does not allow a radius below one kilometre. These are platform constraints, not evidence that a one-kilometre circle will deliver meaningful demand. See its geographic targeting guidance.

For a city or region, inspect the matched place name and country carefully. Store the selected target label in the worksheet, not just the term you typed into search. If the interface supplies a stable location identifier, retain that too. Similar names and broad regional labels can make an apparently sensible list cover a different area from the intended one.

For a radius, record the centre, distance and units. Ask operations whether a circle is a reasonable approximation of the territory. Road routes, bridges, access restrictions and scheduling constraints can make two points at a similar straight-line distance very different service commitments. A radius is not a drive-time calculation or a dispatch guarantee.

For postal areas, verify what the platform actually offers. Do not assume that every postal code in a customer database is a selectable advertising target or that a postal boundary matches the service team’s routing rule. Keep unsupported entries on an exceptions list. Silently dropping them makes a configuration look complete when coverage is unresolved.

In the fictional heating example, the team might begin with named areas for the Central zone and North corridor because those offers differ. It would document the East boundary as unresolved rather than cover it with a larger radius by default. That proposed structure is a planning choice; actual target availability would need checking in the relevant account before implementation.

Finally, compare the full combined footprint with the specification. Review overlaps and unexpected extensions beyond the approved territory. A target can be individually reasonable yet create a confusing overall setup when combined with older targets that were never removed.

Audit exclusions as carefully as inclusions

Exclusions need a business reason and an overlap check. Google says exclusions take precedence when an area is both included and excluded. Its exclusion documentation also describes adding and saving excluded areas through location settings. An exclusion list therefore belongs in the same review as the positive targets, not in a separate appendix nobody reads.

Consider a fictional campaign intended to reach one city inside an approved province. A reviewer finds that the province itself is excluded. Adding the city again does not resolve the conflict. The useful question is why the province exclusion exists and whether it reflects the current service specification. Correct the controlling conflict, then verify the saved configuration.

Distinguish an unwanted service destination from an unwanted buyer location. If people outside the territory sometimes arrange valid work inside it, excluding their area could remove opportunities the business wants. Decide whether that tradeoff is acceptable before expanding the exclusion list.

Do not build an enormous global exclusion list as a substitute for understanding the inclusion option. Every extra entry increases maintenance work and creates another possibility for a mistaken overlap. Begin with the approved positive footprint, then document any supported exclusions needed to express known service gaps. Check the applicable product limits before any bulk operation.

Give each exclusion an owner, a reason and a review condition. “No service capacity” is more useful than “bad location.” The latter may conceal an old performance judgement based on a small sample, a temporary staffing problem or a misunderstanding of the report. Keep operational exclusions separate from proposed performance changes so the reason remains visible.

After a change, verify the saved list and revisit the service-area table. A successful save only confirms that a configuration was accepted; it does not prove that every future enquiry will be serviceable. The next stage is observation, using definitions agreed before results arrive.

Create a settings record that another reviewer can follow

Capture a baseline before changing anything. The record should identify the campaign, service, objective, active dates, targets, exclusions, inclusion option and controlling settings level. Include the date of the observation and the service-area specification version. The names alone are insufficient: a campaign labelled “Local Repairs” may still contain broader settings inherited from an earlier setup.

Use one row per campaign or relevant ad group, linking layered controls to their parent campaign. Add a status for each required field: confirmed, unresolved or not applicable. A blank cell cannot tell the next reviewer whether someone checked the setting. An unresolved cell should name the question and its owner.

Check the advertising promise alongside the settings. If an ad says a particular service is available across a region, compare that statement with the territory specification. If the offer is conditional, its supporting page and enquiry handling should express that condition accurately. This is an alignment check, not a reason to create an organic landing page for every city.

Prepare a concise change record with the old value, proposed value, reason, responsible person, implementation date and review condition. Separate a correction from an experiment. Fixing a demonstrable mismatch between the approved service area and the selected area is different from testing whether a narrower inclusion option improves qualified demand.

Where the campaign requires several corrections, document them as a group so nobody later attributes every change in results to one setting. Where the question is genuinely experimental, avoid changing unrelated variables at the same time when practical. Otherwise, a new budget, a changed offer and a location adjustment will be difficult to disentangle.

Before implementation, ask a second reviewer to describe the expected footprint in plain language using only the record. If that person cannot explain which services are promoted where, the record needs clarification. This simple review can reveal ambiguity before spend or customer expectations are affected.

Read geographic reports according to what they measure

Google’s geographic reporting separates Targeted locations, which organises performance by selected targets, from Matched locations, which may represent physical location or location interest. Google states that these reports aggregate users. They do not establish an individual’s exact whereabouts. Its geographic performance documentation also explains unspecified areas and differences from other reporting sources.

The practical implication is that a familiar city name is not enough to interpret a row. Record the report name, geographic level, date range, filters and selected metrics before drawing conclusions. A screenshot cropped to the city and cost columns can remove the very information needed to understand the observation.

For Matched locations, Google currently describes a path through Campaigns, Insights & reports, then When and where your ads showed. Its report instructions also cover distance reports, available for Search and Shopping with location assets. They warn that sub-country figures may not add up to campaign totals. Interface labels can change, so confirm the view rather than treating a menu path as permanent.

A distance report should not be repurposed as a technician-routing report. Google explains that the triggering location can reflect interest, and some formats can produce distances beyond the targeting radius. The reference point may also differ from the store nearest the user. Those qualifications appear in its distance-report explanation.

If an account exposes a physical-location dimension, verify its definition and availability for the selected campaign before using it. Keep the interpretation at the level the report supports. Do not turn aggregated rows into a claim about a named customer’s location, or describe an estimated location as a verified residential address.

Retain unknown and unspecified categories. Do not distribute them across accepted zones to make a chart total neatly. If more detailed rows are missing or incomplete, document the limitation and use a broader level for the question it can answer. “Unknown” is a useful audit result when the alternative is invented precision.

Separate three conclusions: the settings match the approved plan; the reported activity is consistent with that plan at the available level; and the resulting enquiries are commercially serviceable. The evidence for one does not automatically establish the other two.

Measure serviceable enquiries without guessing personal location

The most direct commercial check is the work requested. Ask for the service area needed to determine eligibility, along with the service type. An initial municipality or broad service zone may be sufficient for screening. Detailed address collection, when necessary for delivery, belongs in the business’s normal authorised process rather than in a public audit workbook.

Record location status separately from other reasons an enquiry cannot proceed. Fictional location statuses might be accepted territory, conditional territory awaiting review, outside territory and location unknown. Track wrong-service requests, duplicates, appointment availability and sales outcome in separate fields. An in-area caller who cannot find a suitable appointment is not an out-of-area lead.

Choose a denominator before calculating a rate. “Out-of-area enquiry rate” is ambiguous unless it specifies whether unknowns, duplicates and unrelated service requests are included. A useful operating measure is confirmed outside-territory enquiries divided by enquiries with a known service location. Report the unknown-location count beside it rather than letting it disappear. Define the included cohort and duplicate and wrong-service handling first. Known-location enquiries include conditional areas whose destination is established, even while acceptance is pending. If a denominator is zero, report the rate as not assessable, not 0%.

For illustration only, suppose a fictional review of one offer contains 40 unique enquiries, after removing duplicates and wrong-service requests: 28 with accepted job locations, six outside the territory and six without enough location information. The known-location outside-territory share is 6 divided by 34, or about 17.6%. The unknown-location share is 6 divided by 40, or 15%. Neither figure estimates the location of ad viewers.

This calculation is not an industry benchmark or an acceptable-loss recommendation. It shows how two explicit denominators answer different questions. The team might need better intake information before it can assess whether a settings change helped. It should not label all six unknowns as serviceable or unserviceable based on a hunch.

Where campaign attribution is available and appropriately used, document its limits. Some enquiries may not have a reliable campaign association, and advertising reports and sales records may use different timing or counting rules. Keep unassigned enquiries visible. Attribution is a separate dimension: an unassigned enquiry can also have a known or unknown service location. Do not add unassigned counts to the location-status total or force them into the campaign under review.

Use aggregate counts in the review shared with management. There is no need to publish names, telephone numbers, addresses, IP addresses or individual movement histories to explain whether an operating territory and an advertising plan are aligned.

Set acceptance checks before changing the campaign

An acceptance check states what evidence would allow a reviewer to approve the configuration or assess the next observation period. It is not a claim that the check has already been performed. The following checks are hypothetical and would need adapting to the business, campaign and available evidence.

Some checks can be completed before launch. Others require actual campaign activity and enough time for the business to classify enquiries. Keep those stages separate. A campaign can pass the configuration review while its commercial outcome remains unassessed. Conversely, a few good enquiries do not excuse an unexplained territory mismatch.

Choose any numerical tolerance from the business’s economics and capacity. If a team can handle only a small amount of screening, that constraint matters. If a high-value service routinely attracts buyers researching remotely, the business may accept more initial qualification work. There is no universal percentage that proves location targeting is correct.

Document a response for each failed check. A wrong-country target calls for correction. A missing service boundary calls for an operations decision. Insufficient enquiry information calls for better classification. These are different problems with different owners; treating them all as a platform failure slows down the audit.

Investigate out-of-area enquiries in a useful order

Begin by confirming what “out of area” means in the complaint. Is it the caller’s telephone area code, their current location, their mailing address or the property requiring work? A telephone number alone is not a service-area decision. Ask the operational question first and classify the request according to the approved specification.

Next, verify the enquiry’s source to the extent the available evidence allows. An enquiry arriving while a campaign is running is not automatically caused by that campaign. The audit should avoid attributing organic, referral or unattributed requests to an advertising setting without supporting evidence.

Then check the specific campaign and settings active during the relevant period. A change made today cannot explain yesterday’s configuration. Compare the recorded option, targets and exclusions with the dated change log. If several campaigns promote the same service, inspect each relevant campaign rather than stopping after finding one correct setup.

Review the report definition before interpreting geographic anomalies. A matched place, a service destination and a reported physical area may disagree without describing the same event or concept. Record the disagreement, identify what each source measures, and decide whether additional aggregate evidence would resolve the question.

Check the promise made to the customer. A broad regional phrase in an ad or supporting page may invite enquiries the operations team declines. In the fictional heating example, “emergency service across every zone” would conflict with the North corridor’s installation-only rule even if the map were configured as intended.

Finally, examine remaining uncertainty. Google describes location targeting as its best effort using multiple signals and explicitly does not guarantee complete accuracy. That limitation applies even when the setup is careful. Its targeting guidance is clear on this point. Do not promise that changing one option will prevent every future out-of-area enquiry.

The response should match the evidence. Correct a demonstrated configuration error, clarify a misleading offer, improve an incomplete intake process, or investigate an unexplained pattern. Avoid diagnosing a platform defect from one anecdote, but also avoid dismissing a repeated serviceability problem simply because the settings look tidy.

Evaluate changes against qualified demand

Define the comparison before looking for a winning story. Keep a dated baseline, record what changed, and choose an observation period suited to the volume and sales process. A business receiving a few enquiries per week cannot support the same level of certainty as one reviewing a large number of consistently classified requests.

Compare like with like where possible: similar days of the week, the same offer, the same serviceability definition and sufficient time for enquiries to be reviewed. Record obvious differences such as a holiday, a change in staffing, a new promotion or a severe weather event. These can affect demand and the team’s ability to accept work.

Track both efficiency and volume. A lower outside-territory share can still accompany an undesirable drop in qualified enquiries. A stable enquiry count can conceal more screening work. Review accepted-territory enquiries, unknown-location share, qualified demand and the operational burden together. Where the data supports it, cost per qualified enquiry adds context, but it needs a consistent qualification rule.

For a fictional decision example, imagine a manager sees fewer calls after narrowing reach. That observation alone does not establish success or failure. If accepted jobs also fell, the business needs to investigate whether useful demand was lost. If qualified demand held steady while screening effort declined, that may support keeping the change. These are decision paths, not reported outcomes.

A before-and-after comparison can guide a decision without proving causation. State that limitation when several factors changed or the sample is small. If the evidence is inconclusive, extend the observation or refine the question rather than claiming a percentage improvement the data cannot support.

Keep an operating review separate from the wider financial analysis. Canada Create’s PPC ROI guide addresses the broader performance context. This audit contributes a narrower answer: whether the campaign’s geographic approach and resulting enquiries fit the service territory.

Keep the audit useful after the first review

Give the territory document a maintenance trigger. Review it when service capacity, response promises, branch coverage or accepted project types change. Also revisit it when a campaign is duplicated or repurposed. A copied campaign deserves a fresh coverage check even when its predecessor was appropriate.

Use a short recurring review with operations and marketing: what changed in the service area, which unexplained enquiry patterns appeared, and which settings or claims need updating? Keep a decision log that states the evidence, owner and next review condition. That is more useful than a folder of screenshots without context.

Maintain the distinction between an operational refusal and a performance judgement. An area the team cannot serve remains outside the offer regardless of attractive click metrics. An area the team can serve but has not yet assessed commercially should not be presented as impossible to reach or automatically unprofitable.

Common questions about a location-targeting audit

Should every local business choose Presence?

Use the service model to decide. A tightly local offer and a service often purchased remotely create different tradeoffs. State the reason for the choice and assess qualified enquiries, including the possibility of losing useful demand when reach narrows.

Does a city in the report prove that the customer was there?

No. Start with the report’s definition and aggregation level. The useful audit question is what the row supports, not whether its label resembles a customer address. Confirm the service destination through the normal qualification process when that information is needed.

Should each town have its own campaign?

Only when a meaningful difference in service, budget responsibility, offer or operating decision justifies that structure. Splitting campaigns merely to mirror a map can add maintenance work. Keep the structure as simple as the business decisions allow.

When is the audit complete?

The initial review is complete when the service specification, saved configuration, evidence limitations and follow-up ownership are documented. Continuing performance assessment remains necessary as conditions change. Completion does not mean zero uncertainty or a promise that every future request will fit the territory.

Talk with Canada Create about a Google Ads location-targeting audit to connect your campaign settings with the areas and services your team can deliver.