B2C Website Visitor Identification
Learn how anonymous website visitors can become identifiable prospects and be matched to appropriate locations.
Read the GuideGEOGRAPHIC AUDIENCE TARGETING GUIDE
For businesses that depend on customers visiting a physical location—or technicians traveling to customers—geography is an important part of audience quality. But drawing a circle around a location does not always reflect how people actually travel.
Radius targeting measures geographic proximity. Drive-time targeting considers the road network and how long it actually takes to travel between a prospect and a business location. For multi-location organizations, the analysis can go one step further by determining which locations are most convenient for each individual person.
This guide explains radius, distance, drive-time and multi-location matching—and how marketers can use geographic intelligence to build and personalize better local audiences.
Published by Inbound Insight · Last Updated: September 2026
Radius targeting defines an audience based on a specified geographic distance around a location such as a store, branch, office, clinic, dealership or franchise location.
For example, a marketer might target households within 3, 5, 10 or 20 miles of a particular location.
Radius targeting is popular because it is straightforward, easy to understand and relatively simple to implement.
A geographic targeting method that selects prospects within a defined distance around a central location.
For many marketing applications, radius targeting can be entirely appropriate.
Its limitation is that a radius describes geographic proximity—it does not necessarily describe actual travel convenience.
Drive-time targeting evaluates an audience according to the estimated time required to travel between a prospect's location and a business location using the road network.
Instead of asking "Who lives within five miles?" drive-time analysis can ask "Who can realistically reach this location within an appropriate amount of time?"
A geographic targeting method that uses road networks and estimated travel time to evaluate the practical accessibility of a business location for individual prospects.
These concepts are related, but they are not identical. Each measures something different.
| Method | What it measures | Primary advantage | Primary limitation |
|---|---|---|---|
| Radius | Geographic area around a location | Simple and easy to implement | Does not account for road access |
| Straight-line distance | Physical distance between two points | More precise point-to-point proximity | Does not reflect the actual route |
| Road distance | Distance traveled along available roads | Reflects actual route length | Miles alone do not indicate travel time |
| Drive time | Estimated travel time through the road network | Better reflects practical accessibility | Requires more sophisticated geographic analysis |
A radius treats every direction around a location equally. Real transportation networks do not.
Two households can both be five miles from a location as the crow flies but require very different amounts of time to reach it.
Conversely, a prospect farther away in straight-line distance may have convenient highway access and reach the location more quickly than someone who lives closer.
Geography tells you how close someone is.
Drive time helps tell you how convenient the location is to reach.
Roads rarely travel in perfectly straight lines between two points.
Highway access can make a more distant location faster to reach.
Two nearby points may require a substantial detour to reach an available crossing.
A nearby highway does not necessarily provide a convenient entrance or exit.
Dense street networks, one-way roads and limited crossings can change practical accessibility.
Lakes, mountains and other physical features can create large differences between geographic proximity and practical travel.
These differences explain why circular trade areas are useful approximations but do not always represent where customers can conveniently travel.
Radius targeting remains useful in many situations. Consider radius targeting when:
Drive-time analysis becomes more valuable when actual accessibility affects the likelihood that a prospect will visit or use a location.
Determine which stores are most convenient for individual consumers.
Match prospects with practical branch locations.
Direct prospects to appropriate franchise locations based on actual accessibility.
Determine which dealership locations are most convenient for each prospect.
Determine which appropriate office or clinic locations are convenient for prospective patients, subject to applicable privacy and compliance requirements.
Match prospects with convenient med spa, wellness, fitness, weight-loss or other service locations.
Determine whether prospects fall within practical service areas when travel from a business location or technician base matters.
For a multi-location organization, assigning a prospect to the nearest location seems straightforward. But "nearest" can mean different things.
ILLUSTRATIVE EXAMPLE ONLY
4.2 miles away
18-minute drive
5.1 miles away
12-minute drive
Location A is closer by distance.
Location B is faster by drive time.
This distinction can matter when:
For customer convenience, the fastest practical location may sometimes be more useful than the geographically closest location.
For organizations with multiple stores, branches, offices, dealerships, clinics, franchise locations or other physical locations, geographic targeting creates another important question: Which locations should each individual person be directed to?
Multi-location matching answers this question by comparing an individual's home address with the organization's physical locations.
Rather than assigning everyone according to ZIP Code, territory or a simple radius, each person can be evaluated against the available locations using distance and estimated drive time.
Inbound Insight's Multi-Location Tool is designed for organizations that need to match individual people with multiple physical business locations.
The process begins with two datasets.
The client uploads its locations, including information such as:
Examples include bank and credit union branches, franchise locations, automotive dealerships, retail stores, clinics, dental offices, personal-service locations and other physical business locations.
The client uploads the names and home addresses of the people it wants to analyze. These might include:
For each person, Inbound Insight can return:
The name of the business location geographically closest to the person's home address.
The calculated distance associated with the relevant location.
The location with the shortest estimated driving time.
Estimated driving time to that location, reported in minutes and seconds.
The location with the second-shortest estimated driving time.
Estimated driving time to that location, also reported in minutes and seconds.
The resulting fields can be appended directly to each person's record for use in marketing, personalization, segmentation and routing.
The value of multi-location analysis goes beyond geographic reporting.
Once the most convenient locations have been identified for each person, the information can become part of the marketing communication itself.
ILLUSTRATIVE PERSONALIZATION EXAMPLE
Convenient locations near you
[FASTEST LOCATION NAME]
[LOCATION ADDRESS]
Approximately [DRIVE TIME] away.
Another convenient option:
[SECOND LOCATION NAME]
Approximately [SECOND DRIVE TIME] away.
Depending on the campaign and available client data, location intelligence can be used to personalize:
Multi-location matching is particularly useful for direct mail because location information can be incorporated directly into personalized creative.
A single campaign can therefore generate location-specific communications for thousands of recipients without manually assigning people to individual branches, stores or offices.
Depending on the campaign, each mail piece can direct the recipient toward:
Inbound Insight's Multi-Location capabilities are pre-integrated with Visitor Connect®.
Visitor Connect can identify a portion of otherwise anonymous website visitors and provide actionable consumer identity information, including a home address when available.
For a multi-location business, that home address can immediately become the input for location matching.
This creates a workflow from anonymous digital behavior to person-level, location-specific marketing.
The visitor does not need to manually determine which business location is most convenient before the marketer can personalize the follow-up.
Learn how B2C website visitor identification worksConsider a multi-location weight-loss franchise.
A prospective customer visits the franchise website but leaves without completing a conversion.
If the visitor can be appropriately identified through Visitor Connect®, the resulting home address can be compared with the franchise's locations. The Multi-Location Tool can determine:
Those results can then be incorporated into a recurring direct-mail campaign.
Instead of receiving a generic postcard promoting the franchise, the identified website visitor can receive communication directing them toward locations convenient to their home.
Direct prospects to convenient branches based on home address and travel time.
Match prospects and identified website visitors to convenient franchise locations.
Determine which dealerships are easiest for individual prospects to reach.
Personalize communications with relevant nearby stores.
Direct prospective patients toward appropriate convenient locations, subject to applicable privacy and compliance requirements.
Match prospects with nearby med spa, wellness, fitness, weight-loss or other service locations.
Assign prospects to appropriate locations or territories where geography affects service delivery.
The same approach can apply to many organizations where the convenience of a physical location affects whether a prospect is likely to visit or respond.
Geographic intelligence can make intent audiences more actionable.
Intent data can identify consumers demonstrating current interest in a category. But a local business does not necessarily need every in-market consumer. It needs in-market consumers it can realistically serve.
For example, a local service business could identify consumers showing relevant intent and then restrict the audience to practical geographic markets.
Online Intent Leads GuidePredictive models answer: Who has characteristics associated with conversion?
Geographic intelligence answers: Can this person realistically reach or be served by the business?
A high-propensity prospect outside the practical market may be less useful than a similarly qualified prospect who can conveniently reach the business.
Predictive Prospect Lists vs. Demographic TargetingWithin the Inbound Insight Conversion-Ready Audience framework, geographic targeting primarily addresses the In-Territory dimension.
See how all four drivers work together in our guide to Building Conversion-Ready Audiences.
Are they interested now?
Online intent signals
Do they have characteristics associated with conversion?
Predictive modeling
Can they realistically buy from or visit you?
Geographic and drive-time intelligence
Does the message fit the audience?
Audience insights and personas
Does the solution use ZIP Code, radius, straight-line distance, road distance, drive time or multiple methods?
Can geography be calculated individually for each prospect or customer?
Can each person be compared against multiple business locations?
Can the system identify the closest location by distance?
Can it separately identify the fastest location based on estimated drive time?
Can it provide a second convenient location when useful?
Are location names, distance and drive times appended directly to each person's record?
Can those fields be used to personalize direct mail, email or other communications?
Can location analysis be combined with predictive audiences, intent audiences and website visitor identification?
Can the resulting information support direct mail, lead routing, segmentation and other campaign workflows?
Location data should be used responsibly and in line with applicable requirements; see our Privacy & Compliance approach.
Inbound Insight's Multi-Location Tool turns individual addresses into actionable location intelligence.
Clients provide their physical business locations and a list of people with home addresses. Inbound Insight compares each person with the client's locations and returns relevant geographic information.
Evaluate locations individually for every prospect, customer or identified visitor.
Understand both geographic proximity and practical travel convenience.
Identify the fastest and second-fastest locations when multiple convenient options are useful.
Append location names, distance and drive times directly to individual records for marketing and routing.
The Multi-Location Tool can be used with a client's existing customer or prospect list or integrated with other Inbound Insight audience solutions, including Visitor Connect®.
Radius targeting selects prospects within a specified geographic distance around a location. It is simple and useful for many local marketing applications but does not account for the actual road network or travel time.
Drive-time targeting evaluates prospects according to the estimated time required to travel between their location and a business location using the road network.
Radius targeting is based on geographic proximity around a location, while drive-time targeting considers how people actually travel through the road network. As a result, a practical drive-time area may look very different from a simple circle.
No. A location that is closer by geographic distance can sometimes require more driving time because of roads, bridges, highways, geographic barriers or other transportation patterns.
Radius targeting can work well when simple geographic qualification is sufficient, road access is relatively uniform or the added precision of drive-time analysis is not necessary.
Drive-time analysis is particularly useful when actual travel convenience affects whether a prospect can realistically visit or use a business location.
Multi-location matching compares an individual's address with multiple business locations to determine which locations are most relevant or convenient based on factors such as distance and estimated drive time.
Yes. Road networks, highways, bridges and other geographic factors can make a location that is farther away in distance faster to reach by car.
Inbound Insight's Multi-Location Tool can identify the two locations with the shortest estimated drive times for each individual and append the location names and drive times to the person's record.
For each individual, the tool can return relevant location names, distance information and estimated drive times in minutes and seconds, including the closest location by distance and the two fastest locations by drive time.
Yes. Location name, address, distance, estimated drive time and other available location information can be used as personalization fields in direct-mail campaigns.
Yes. The appended location information can also be used to personalize appropriate email communications or other marketing workflows.
Yes. Inbound Insight's Multi-Location capabilities are pre-integrated with Visitor Connect®, allowing identified website visitors with available home addresses to be matched with appropriate client locations for location-specific follow-up.
Yes. Intent data can identify consumers showing relevant current interest, while geographic analysis can determine which of those prospects are within markets the business can realistically serve.
Yes. Predictive scoring can identify prospects with characteristics associated with conversion, while geographic analysis determines whether those prospects are geographically practical for the business.
A franchise organization can compare each prospect or identified website visitor with its locations and use distance and drive-time information to determine which franchise locations are most convenient for that person.
Learn how anonymous website visitors can become identifiable prospects and be matched to appropriate locations.
Read the GuideLearn how recent behavioral signals can identify consumers who appear to be actively in-market.
Read the GuideLearn how predictive models identify prospects whose characteristics are associated with conversion.
Read the GuideLearn how data-driven personas can be assigned to individual records and used to personalize campaigns.
Read the GuideLearn how In-Market, In-Profile, In-Territory and In-Sync signals work together.
Read the GuideBrowse all Marketing Guides.
Inbound Insight helps marketers build better prospect audiences using predictive modeling, online intent signals, website visitor identification, geographic intelligence and data enrichment. Its solutions support direct mail, email, digital and integrated direct marketing programs.
Published by Inbound Insight · Last Updated: September 2026