32 Multi-Location Business Statistics Every Business Should Know (2026)
Multi-location service businesses coordinate schedules, staffing and customer information across sites. These 32 figures cover expansion, operations and customer experience; the sources do not establish exponential complexity or a fastest-growing-segment ranking. Corrected cards include the IFA/FRANdata outlook and BLS data with defined populations. Establishment non-survival covers new US private-sector establishments generally, not multi-location expansions. Survey results, forecasts, named customer cases and documented workflows are labelled separately; they do not share one population or establish benchmarks for every multi-location service business.
Collection updated: October 2026
32 Multi-Location Business Statistics Every Business Should Know (2026) reveal key trends in scheduling and appointment management. This collection contains 32 data points. Check each source's population, reporting period and methodology before applying a figure to your business; forecasts and vendor case studies are not general industry results.
Table of Contents
Multi-Location Growth Trends
Surveyed multi-location brands saying they were likely to open new locations in 2024, in BrightLocal's February 7, 2024 Brand Beacon report. Sapio Research surveyed 200 screened marketing decision-makers in the US, UK and Canada. Historical stated intention, not completed expansion or a three-year forecast for all service businesses; exact field dates, item count, response rate and weighting are undisclosed.
Projected increase in US personal-service franchise establishments from 114,012 in 2021 to 132,045 in 2025, calculated from the IFA/FRANdata 2025 outlook. Establishments are locations; this does not measure multi-unit ownership or realized 2025 growth.
IFA / FRANdata 2025 Franchising Economic Outlook, establishment table
Surveyed recent US local-business searchers considering the address or proximity before clicking to learn more, in BrightLocal's July 15, 2026 report. Publisher-described representative panel: 1,227 people who searched within three months; item count, field dates and weighting undisclosed. Proximity consideration, not preference for businesses owning multiple locations.
Year-over-year gross merchandise value increase in 2021 reported for FIRE Fitness Camp in Mindbody's 25-location customer case. GMV is not a measured average revenue multiplier from adding a second location. Absolute GMV, same-store controls and independent validation are undisclosed; no causal software effect is inferred.
No longer surviving by March 2025 among US private-sector establishments opened in the year ending March 2023, BLS Business Employment Dynamics Table 7. The cohort began with 1,049,106 establishments; 691,774 survived, a published 65.9% survival rate. Non-survival is approximately 100% minus that rounded rate. This covers new establishments generally, not specifically second locations or multi-location expansions, and does not identify financial failure reasons.
US Bureau of Labor Statistics, BED Table 7, March 2023 opening cohort observed March 2025
Surveyed multi-location brands using technology to support local marketing in BrightLocal's 2024 report. Sapio Research surveyed 200 screened marketing decision-makers in the US, UK and Canada. Item count, field dates and weighting are undisclosed. This measures reported marketing-tool use, not owners crediting technology with successful scaling.
BrightLocal's 2024 high-performing brand subgroup naming more locations as a top priority. High performers self-reported exceeding 2023 marketing expectations. Sapio surveyed 200 screened US/UK/Canadian multi-location marketing decision-makers; subgroup/item counts and field dates undisclosed. Historical priority, not customer demand driving completed small-business expansion.
Scheduling Complexity Across Locations
Surveyed US retailers acknowledging that frontline employees want more scheduling flexibility than their stores provide. UKG/Morning Consult online survey: 514 retail executives/managers, July 16-30, 2024; item count undisclosed. Employer perception, not employees directly surveyed or a ranking of multi-location scheduling challenges.
Deputy documents its regular-hours auto-scheduler leaving shifts empty when the assigned employee has leave or an overlapping shift. This vendor workflow is not a measured conflict-frequency comparison between multi-location and single-location businesses, and it does not establish universal prevention of scheduling conflicts.
Weekly schedule-writing workload reported for Mud Bay before Deputy adoption: 2-3 hours per store, totaling 120-180 hours across 60 locations, per Deputy's original ebook page 3 and customer story. Historical vendor-published customer account, not a manager average for all multi-location businesses or time spent solely on cross-store transfers. Exact baseline dates, time logs and independent validation are undisclosed.
Deputy, Mud Bay customer story; The Power of Digital Employee Scheduling, page 3
Mud Bay used store-level Excel schedules and a separate, unintegrated time-tracking system before Deputy adoption, according to its historical customer story covering 60 locations. Named vendor account, not a survey estimating how many multi-location businesses use separate systems.
Seurat's July 2026 food-and-beverage study reports shoppers who spoke up about their last incorrect order and had it fixed. Prodege sample: 1,087 attention-screened US monthly quick-service/convenience shoppers; the item's denominator is not explicitly shown. Customer-reported order resolution, not the share of appointment complaints attributable to scheduling.
Deputy describes cross-location shift offers to eligible team members, considering training, availability and leave status. Published product workflow, not a dataset quantifying errors during staff transfers or floating shifts; configuration and eligibility matter. No SchedulingKit capability is inferred from this documentation.
Surveyed marketing decision-makers rating their organizations good or very good at maintaining consistent brand standards in BrightLocal's 2024 report. Overall sample: 200 screened multi-location marketers in the US, UK and Canada; item count and field dates undisclosed. Self-rated brand standards, not a measured service-quality failure rate.
Technology Adoption for Multi-Location
Surveyed US retailers reporting technology tools for communication, time and attendance, and scheduling in UKG/Morning Consult research. Online survey: 514 retail executives/managers, July 16-30, 2024; item count undisclosed. Not specifically centralized appointment scheduling or exclusively multi-location operators.
Hybrid-cloud hosting of data and code in Kaspersky's study of geographically distributed enterprises. Overall sample: 1,000 network/information-security decision-makers at companies with at least 500 employees and three sites. The hosting-item denominator and field dates are undisclosed. This concerns IT development, not cross-location scheduling-software adoption.
Kaspersky, original geographically distributed business research
PURE Medical Spa's business and guest data consolidated in a single dashboard, according to Zenoti's August 21, 2023 customer case. Named vendor-published example; it does not establish database architecture, a universal shared-client profile, or the percentage of businesses adopting unified databases.
FIRE Fitness Camp network described in Mindbody's historical case, which reports use of customizable real-time dashboards and franchisee metrics. Named customer example, not a percentage of multi-location businesses using analytics. The source does not provide a representative adoption sample or an independently measured dashboard effect.
BrightLocal's 2024 high-performing brand subgroup prioritizing more AI and automation. High performers self-reported exceeding 2023 marketing expectations. Overall Sapio sample: 200 screened US/UK/Canadian multi-location marketing decision-makers; subgroup/item counts and field dates undisclosed. Historical priority, not a 2026 technology-spending forecast.
Reduction in schedule-writing time within the first year of Deputy implementation reported by Mud Bay across 60 locations. A historical vendor-published customer account, not a measured 2.1x efficiency advantage for businesses with unified technology stacks. Time logs, exact dates and independent validation are undisclosed.
Staffing and Workforce Management
Reported reduction in staffing-related late openings, early closures and inability to open at Mud Bay: 72 incidents in November 2020 to 11 by March 2021. Named Deputy customer account; about 84.7% fewer incidents, not a population prevalence or controlled causal effect. Store-day denominators and comparable observation windows are undisclosed.
Network/security professionals naming difficulty finding and hiring qualified staff as an IT/security challenge across multiple sites in Kaspersky's enterprise study. Overall sample: 1,000 decision-makers at companies with at least 500 employees and three sites. Field dates and item count are undisclosed. Hiring difficulty, not a turnover comparison with single-location businesses.
Kaspersky, original geographically distributed business research
Zenoti's August 2023 PURE Medical Spa case describes manual appointment confirmations and pre/post-treatment instructions replaced by automated messages across a three-location business. Vendor-published qualitative account; no time logs or staffing-versus-client-work percentage is reported, and no quantified saving is inferred.
Surveyed US retailers saying store employees can manage shift preferences. UKG/Morning Consult online survey: 514 retail executives/managers, July 16-30, 2024; item count undisclosed. Reported workplace flexibility, not employee preference for floating between branches; multi-location firms are not separately identified.
Surveyed US retailers reporting flexibility for associates to swap shifts and/or self-schedule. UKG/Morning Consult surveyed 514 retail executives/managers online, July 16-30, 2024; item count undisclosed. This combined flexibility measure does not isolate shift-swap technology adoption or multi-location businesses.
Surveyed US retailers cross-training employees for the 2024 seasonal surge. UKG/Morning Consult surveyed 514 retail executives/managers online, July 16-30, 2024; item count undisclosed. Reported training activity, not difficulty standardizing training across branches; multi-location operators are not separately identified.
Customer Experience Across Locations
Attention-screened US monthly quick-service restaurant or convenience-store food/beverage shoppers agreeing that some locations of the same chain are noticeably better or worse. Seurat Analytics, Prodege panel, July 3-10, 2026; analytic base 1,087, with a Northeast core. Perceived branch variation, not a universal expectation measure; weighting undisclosed.
Zenoti documents offering available appointment slots at nearby locations in the same business network when the chosen location lacks the desired slot. Organization and center configuration apply. Documented booking workflow, not a measured percentage of consumers requesting cross-location availability or proof of a booking lift.
Respondents reporting they stopped visiting one branch of their most-visited chain and switched to another branch of the same brand, in Seurat Analytics' July 3-10, 2026 Prodege-panel survey. Base: 892 respondents naming a chain, within 1,087 attention-screened US monthly quick-service restaurant or convenience-store food/beverage shoppers. Self-reported branch switching, not competitor-switching intention or all service customers; weighting and response rate are undisclosed and the sample has a Northeast core.
Seurat Analytics, Same Brand, Different Store Experience, July 2026
Zenoti documents configurable guest search across an organization or zone so staff can reuse an existing guest profile when booking at another center. Settings govern lookup scope and do not change data ownership. Documented workflow, not a consumer-preference survey or unrestricted sharing of all history and preferences.
Surveyed consumers saying local-branch reviews would influence their decision to use a chain or franchise store in some way, in BrightLocal's March 2024 report. Publisher-described representative SurveyMonkey panel: 1,141 US consumers; item count, field dates and weighting are undisclosed. Stated consumer influence, not the percentage of businesses with inconsistent branch reviews.
Surveyed food/beverage shoppers actively choosing or avoiding a specific branch when ordering delivery or pickup through an app, based on branch knowledge. Seurat July 3-10, 2026 Prodege study: 761 app/delivery users at least rarely, within 1,087 attention-screened US monthly shoppers. Not appointment-platform discovery; weighting undisclosed.
What the Data Tells Us
BrightLocal's 2024 survey reported 81% of surveyed multi-location brands were likely to open new locations that year. This historical intention is not a completed-expansion rate or a forecast for all service businesses.
UKG's July 2024 survey found 89% of surveyed US retail executives/managers believed employees wanted more scheduling flexibility than their stores provided. This is employer perception, not a universal challenge ranking.
Deputy's Mud Bay case reports a 25%-50% reduction in schedule-writing time within the first year across 60 locations. This named vendor-published result does not establish an efficiency multiplier for all multi-location businesses.
Seurat's July 2026 study found 79% of attention-screened monthly US quick-service/convenience food-and-beverage shoppers perceived differences between same-chain branches. This is a scoped perception measure.
Deputy's historical Mud Bay case describes store-level Excel schedules and unintegrated time tracking across 60 locations. It does not measure how common separate systems are across businesses.
BrightLocal's 2024 survey found 98% of surveyed brands used technology for local marketing. This does not measure successful scaling or scheduling-software adoption.
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