5 Recruitment Metrics Every Franchisor Should Track

The Brazilian franchise sector directly employs 1.7 million people and generates more than 6 million indirect jobs, according to 2025 data from the ABF (Brazilian Franchising Association). With over 200,000 units in operation, the hiring volume across networks is massive — and, more often than not, decentralized across dozens or hundreds of stores.

The problem? Most franchisors don't measure recruitment in a structured way. Each store hires at its own pace, with its own criteria, and the network loses visibility into one of the processes that most impacts operational results. Recruitment becomes a "black box" — and problems only surface when it's too late.

The solution starts with data. We've compiled the five essential metrics every franchisor should track to transform recruitment from a cost center into a competitive advantage.

---

1. Time to Fill

"Open positions that linger aren't just an HR problem — they're a revenue problem." — Josh Bersin, HR analyst

Time to fill measures how many days elapse between opening a position and the candidate accepting the offer. It's the most direct thermometer of your hiring process efficiency.

In Brazil, the average time to fill a position is approximately 40 days, exceeding 50 days for technical roles, according to data compiled by Gupy. A Glassdoor study positions Brazil as one of the countries where hiring processes take the longest, averaging 39.6 days — above the global average. Globally, SHRM reports an average of 54 days.

For franchises, the impact is amplified: a store with an open cashier position for 40 days operates with a reduced team, overburdening remaining employees and hurting customer service. Multiply that across dozens of units and the hidden cost is enormous.

Why track it

• Identifies funnel bottlenecks: where are candidates getting stuck? At screening? Interview? Offer?
• Reduces indirect costs: every day a position stays open costs overtime, lost productivity, and service quality decline
• Enables cross-store comparison: units with time-to-fill far above the network average need attention

Reference benchmarks

Position type	Average time (Brazil)
Operational (cashier, attendant)	15–25 days
Technical/specialized	40–55 days
Managerial	45–60 days
Overall market average	~40 days

How to improve

• Maintain an active talent pool — pre-qualified candidates can cut screening time by up to 50%
• Standardize the process across stores: job descriptions, screening criteria, and interview scripts should be consistent network-wide
• Automate initial screening with minimum requirement filters (availability, location, experience)
• Monitor weekly: set alerts for positions open longer than 20 days

---

2. Funnel Conversion Rate

Conversion rate measures the percentage of candidates who advance from one stage to the next in the hiring process. It's the metric that reveals where your funnel is "leaking" candidates — and where it's working well.

The formula is simple: (candidates who advanced ÷ candidates in previous stage) × 100.

International benchmarks show impressively selective numbers: in 2024, the average application-to-interview conversion rate was just 8.4%, and from interview to hire, 27%, according to CareerPlug data. In practice, for every 100 applicants, about 8 reach the interview and 2 get hired.

For franchise networks, these numbers take on another dimension: with dozens of stores hiring simultaneously, a low screening conversion rate means thousands of hours wasted reviewing unqualified candidates.

Why track it

• Pinpoints the exact bottleneck: if many candidates apply but few reach interviews, the problem is in screening; if many interview but few accept offers, the issue may be compensation or employer branding
• Enables stage-by-stage optimization: each funnel phase can be adjusted independently
• Compares efficiency across stores and regions: a store with conversion rates very different from the average indicates local problems (or best practices)

Reference funnel for retail/franchises

Stage	Expected conversion rate
View → Application	8–15%
Application → Screening approved	20–35%
Screening → Interview	30–50%
Interview → Offer	25–40%
Offer → Hire	70–90%

How to improve

• Refine job descriptions: generic listings attract unqualified candidates; specific ones attract the right ones
• Reduce application friction: long forms kill conversion; ask only for essentials at first contact
• Speed up feedback: candidates who don't hear back within 48 hours drop out — especially for operational roles
• Analyze drop-offs: understand why candidates abandon the process at each stage

---

3. Cost per Hire

"If you think hiring is expensive, try hiring wrong." — Classic HR adaptation

Cost per hire sums up all direct and indirect expenses involved in filling a position: job ads, tools, HR team time, assessments, interviews, and onboarding.

In Brazil, numbers vary dramatically by role: SHRM research indicates an average cost equivalent to R$ 26,000 per hire (US$ 4,700), but for operational positions in retail and franchises, the typical range is R$ 2,000 to R$ 5,000. According to data compiled by Reachr, recruitment costs can represent 3 to 4 times the monthly salary of the position.

The most alarming figure: a bad hire can cost up to 15 times the employee's salary, according to a survey by Bazz HR Consulting. For a position paying R$ 2,000/month (approximately US$ 370), that means a potential loss of R$ 30,000 (US$ 5,500) — including termination costs, rehiring, wasted training, and lost productivity.

Why track it

• Justifies technology investments: if cost per hire is R$ 3,000 and a tool reduces it by 30%, the ROI pays for itself quickly
• Identifies inefficiencies: very high costs may indicate excessive reliance on agencies or redundant manual processes
• Enables realistic budgeting: knowing how much hiring costs allows you to forecast the investment needed to open new units

Typical cost breakdown

Component	Estimated share
Job ads and posting	15–25%
HR team/manager time	30–40%
Tests and assessments	5–10%
Tools and systems	10–15%
Onboarding and initial training	20–30%

How to reduce

• Centralize job posting: a single platform for the entire network avoids duplicate job board costs
• Invest in internal referrals: referral programs cost up to 60% less and yield candidates with better retention
• Automate the repetitive: minimum requirement screening, interview scheduling, and feedback sending don't need human intervention
• Measure cost per source: identify which channels (LinkedIn, Indeed, referrals, social media) deliver the best candidates at the lowest cost

---

4. Quality of Hire

Quality of hire is considered the "Holy Grail" of recruitment metrics. According to LinkedIn research, it's the most valued metric by talent acquisition leaders — yet fewer than 40% of organizations measure it consistently.

Unlike the previous metrics that evaluate process efficiency, quality of hire assesses the outcome: does the hired professional actually perform well? Do they stay with the company? Do they contribute to the unit's results?

The most common formula is: (performance + retention + engagement + ramp-up time) ÷ number of indicators.

For franchises, this metric carries special weight: a high-quality attendant can drive up to 20% more in sales compared to a low performer, according to retail sector studies. In a network with hundreds of units, this difference multiplies exponentially.

Why track it

• Connects recruitment to business results: shows whether the hiring process is bringing in the right people
• Identifies best hiring sources: do referral candidates perform better than job board candidates? Measuring is the only way to know
• Validates (or invalidates) selection criteria: if candidates with certain profiles consistently outperform, that profile should be prioritized

What to measure

Indicator	How to measure	Timeframe
Probation period performance	Direct manager evaluation	90 days
Retention	% remaining after 6 and 12 months	6–12 months
Ramp-up time	Days to reach full productivity	30–90 days
Manager satisfaction	Internal NPS or satisfaction survey	90 days
Sales/operational impact	Store metrics before and after	3–6 months

How to improve

• Define "quality" before hiring: create scorecards with the criteria a good professional should meet for each role
• Correlate hiring process data with performance: do candidates who scored well on tests actually perform better? If not, revise the tests
• Collect structured manager feedback: don't just ask "is it going well?"; use forms with specific criteria
• Analyze by cohort: compare the quality of hires made in different periods to identify trends

---

5. Turnover Rate

"Turnover isn't just an HR problem — it's a symptom of systemic failures that begin at recruitment." — Gallup

Turnover rate measures the percentage of employees who leave the company within a given period. In the Brazilian franchise sector, this number is alarming.

Brazil leads the global turnover ranking, with an average rate of 56% according to Caged data. In the food service sector — which accounts for the largest share of franchise networks — the situation is even more critical: turnover reaches 73.5%, according to a survey by Abrasel covering the 2024–2025 period. In practice, it's as if every restaurant or bar replaced its entire staff every 16 months.

In food retail overall, the rate exceeds 58% according to SA Mais Varejo data. These numbers represent a brutal cost for networks — in wasted training, constant hiring processes, and declining service quality.

Why track it

• It's the most direct indicator of recruitment problems: if newly hired people leave quickly, the hiring process is failing to identify the right profile
• Enables real cost calculation: turnover × rehiring cost = wasted investment
• Signals operational issues: high turnover at a specific store may indicate local management problems, organizational climate issues, or poor working conditions

Benchmarks by franchise sector

Segment	Annual turnover rate
Food service (restaurants, fast-food)	60–77%
Food retail (supermarkets)	50–58%
Services and beauty	40–55%
Education and training	25–40%
Health and wellness	20–35%
Brazil overall average	~56%

How to reduce

• Hire for fit, not urgency: the main cause of early turnover is mismatch between expectations and reality — which starts at the job posting
• Invest in onboarding: the first 90 days are decisive; employees who receive structured support are 50% more likely to stay
• Monitor turnover by store: significant variations between units indicate local factors requiring intervention
• Conduct exit interviews: understanding why people leave is as important as attracting new ones
• Benchmark against the sector: a 40% turnover may seem high, but if the sector averages 70%, your network is performing well

---

The real power is in cross-referencing metrics

Each metric in isolation tells part of the story. The real power emerges when you cross-reference the data:

• High time to fill + high turnover = you're taking too long to hire and still hiring wrong — the entire process needs revision
• Low cost per hire + low quality = saving on the process creates losses in operations — it's worth investing more to hire better
• High conversion rate + high turnover = the funnel is efficient, but selection criteria aren't adequate
• High quality + high time to fill = the process works, but can be streamlined without sacrificing quality

What changes with network-wide visibility

For franchisors, the differentiator is measuring these metrics by unit, by region, and across the entire network:

View	What it reveals
By store	Local management or market issues
By region	Labor market differences and competitiveness
By network	Overall process efficiency and internal benchmarks
Over time	Whether recruitment is improving or declining

---

Conclusion

Recruitment is the most repeated and least measured process in most franchise networks. Each store hires, fires, and rehires dozens of times per year — but without data, each cycle repeats the same mistakes.

The five metrics presented here — time to fill, conversion rate, cost per hire, quality of hire, and turnover — form the foundation of data-driven recruitment. It's not about controlling each store; it's about providing visibility so the entire network makes better decisions.

In a sector that generates R$ 76.6 billion per quarter (approximately US$ 14 billion) and employs millions of people, treating recruitment with the same seriousness as sales or finance isn't a luxury — it's a competitive necessity.

---

Sources and references:

• ABF - Franchise Market Numbers
• Gupy - Time to Fill: reduce hiring time
• Glassdoor - How long does a hiring process take in Brazil
• CareerPlug - Recruiting Metrics and KPIs
• Reachr - Recruitment and selection costs
• Metadados - Hiring costs
• Jobylon - Quality of Hire: The KPI you need to measure
• Woba - Turnover Rate in Brazil
• Abrasel - Workforce turnover in bars and restaurants
• SA Mais Varejo - Supermarket employee turnover
• SHRM - Cost Per Hire Benchmarks