How to reduce turnover in retail: what works in 2026

To reduce turnover in retail, fix schedule predictability first, then invest in store manager capability, then structure the first 90 days. Those three levers carry the strongest published evidence behind them. Pay matters, but it rarely works on its own. Recognition programs and mobile apps only move the number when the operating conditions underneath them have already changed.

That order matters more than the individual tactics. Most retailers work the list backwards, starting with the visible programs and leaving the operational friction in place. This guide walks through what the evidence actually supports, what it does not, and how retailers have sequenced the work in practice.

Why the old playbook stopped working

In 2022, McKinsey found that a lack of workplace flexibility was the single most common reason frontline retail workers gave for thinking about leaving. Retail was the only major sector where flexibility outranked every transactional factor, including pay.

By 2024 that ranking had moved. McKinsey’s frontline update put career growth first, pay second, and leadership quality third. Flexibility had slipped to fourth, not because it stopped mattering, but because more retailers had done something about it.

The Work Institute analysis of 123,297 exit interviews, published in 2025, puts career issues at 18.9% of all voluntary quits, health at 12.4%, and work-life conflict at 11.9%. It also found that 75% of departures were preventable.

Mercer’s 2026 research adds a useful detail. Pay is still the top factor for both attraction and retention, at 37% and 32%. But only 59% of hourly retail employees are satisfied with their flexible working options, the lowest satisfaction rate of any sector measured. For a fuller picture of what that costs, see our breakdown of the hidden cost of high turnover in retail.

Start with schedule predictability

The strongest evidence in this entire field sits here, and it is the lever most retailers reach for last.

The Stable Scheduling Study, run with Gap Inc. and published in Management Science, was a randomized controlled trial across 28 stores and 2,331 employees. Treatment stores published schedules two weeks ahead, removed on-call shifts, fixed daily start and end times, guaranteed a floor of 20 weekly hours for core part-time associates, and let associates swap shifts directly without manager approval.

Labor productivity rose 5.1%. Sales rose 3.3%. The treatment stores generated $6.20 more revenue per labor hour and $2.9 million in additional revenue across 19 stores over 35 weeks. Voluntary turnover fell significantly among experienced associates, and that was where the sales gains came from.

The Shift Project at Harvard found the same pattern at scale, tracking more than 19,800 hourly service and retail workers. Clopening shifts, short-notice changes, and canceled shifts all predict quitting. Roughly 45% of that effect runs through job dissatisfaction and 25% through conflict with family life.

There is an important caveat, and it comes from the same research team.

In September 2025, they evaluated a self-scheduling software rollout across 15 IKEA locations. Only 8% of workers updated their availability in the app. Only 7% used it to swap shifts. Fewer than 3% picked up open shifts. The rollout produced no measurable reduction in turnover at all.

The reason was operational rather than technical. Managers had not been trained to align store labor budgets with the availability workers entered, and shift rules blocked open-shift pickups. The tool worked. The conditions around it did not.

Fix the store manager job before anything else

Gallup research attributes 70% of the variance in team engagement to the direct manager. In stores, where head office feels distant, the store manager is effectively the employer as far as an associate is concerned.

The causal evidence is unusually strong. Hoffman and Tadelis, publishing in Management Science, found that raising a manager’s people-management quality by one standard deviation causes a 12% reduction in employee turnover. Moving a manager from the 10th to the 90th percentile causes a 60% drop.

The most practical study is smaller and cheaper. Friebel, Heinz and Zubanov ran a field experiment with a large retail chain in which executives simply told store managers in treatment stores to prioritize retention and do what they could to support their teams. Managers shifted their time toward communication, scheduling flexibility, and supervisory support. Turnover fell 25% and stayed down across a nine-month follow-up. No new budget was involved.

The obstacle is that store managers are now the most stretched group in the business. Gallup recorded manager engagement falling from 31% in 2022 to 22% in 2025. Over 64% report that restructures pushed extra duties onto their teams, and 70% received no formal training on managing shift-based teams. We covered this pattern in more detail in store manager burnout and the real reason your best store managers are leaving.

So the practical move is to take work off the manager rather than add a retention program to their list.

UNTUCKit did this by digitizing daily business analysis and store visits. Market managers moved from three days a week in stores to four, and store visits went from four to six hour checklist audits down to one-hour coaching sessions.

Michaels took a similar route and cut store admin time by 67%, keeping associates on the shop floor and giving managers real-time visibility across the chain from their own devices. The full story is in the Michaels case study.

Make the first 90 days worth surviving

Retail turnover is concentrated at the start of tenure. Between 30% and 43% of new frontline hires leave within their first 90 days, and SHRM benchmarking puts 20% of all voluntary turnover inside the first 45 days. We looked at this window closely in why retail employees quit in their first year.

Structured onboarding works on this. Field research puts the reduction in first-year voluntary turnover at 24% to 32% when milestone-based onboarding replaces informal shadowing. Yet Gallup finds only 12% of employees strongly agree their organization onboards well.

There is a fade-out effect worth knowing about. Structured onboarding reliably cuts attrition through months one and two. If schedules stay unpredictable and managers stay stretched, the quit rate climbs again between months three and six. Onboarding buys time, it does not fix the underlying job.

Grand Fitness replaced ad hoc induction with a structured New Team Member Learning Path, delivering role-specific microlearning from day one. SoulCycle cut time to onboard by half. Practical guidance on building these sits in our retail onboarding guide and our walkthrough of effective onboarding programs for retail teams.

Make the next job visible

Career stagnation is now the leading preventable reason people leave. Associates who cannot see a next step start treating the role as temporary, and they behave accordingly.

Funded education programs produce striking numbers among the people who enroll. Harvard Business School and Burning Glass Institute research shows participants in tuition and credentialing programs have 30% to 50% lower voluntary turnover than peers in identical roles. The catch is participation. It typically runs between 2% and 8% of the hourly workforce, so the store-wide effect stays under 3% unless the program is paired with visible internal promotion milestones.

The cheaper version is to make the path explicit and attach it to something people already do. UNTUCKit built a clienteling certification and made completing it a formal requirement on the route to store manager. Training stopped being a compliance task and became the visible first rung. The detail is in the UNTUCKit case study and in how UNTUCKit turned training into a sales driver.

Be honest about what recognition does

Recognition programs are close to universal in retail, and the evidence for them is weaker than most people assume.

A field experiment published in Management Science tested unannounced public recognition across 993 workers. Task performance rose 16% immediately. The study found no statistically significant effect on long-term voluntary turnover. Recognition also loses its effect when spread evenly across everyone, and risks resentment when reserved only for top performers.

That does not make recognition worthless. It makes it a performance tool rather than a retention tool. Treated as the former, it does its job well.

Where it does contribute to retention is as part of a connected store culture rather than a standalone scheme. GANT built peer recognition into a global newsfeed that automatically translates posts, so associates in Shanghai swap tips with associates in Paris. Course completion rose 30%.

Where technology actually helps

The IKEA finding should set expectations here. Technology accelerates practices that already exist. It does not create them.

What it does well is remove friction that store managers cannot remove on their own. Admin comes off the manager’s day. Training arrives in the flow of work instead of requiring back-office computer time. Communication becomes traceable rather than scattered across personal messaging apps. New hires get one place to go.

In practice that means task management that gives managers a single view of what is pending and overdue across their stores, communications with targeted posts and read receipts so critical updates are verifiable, learning delivered as short mobile modules with role-based learning paths, and AI-powered performance tools such as Store Manager Copilot, an AI-powered teammate that produces a briefing on staffing gaps, compliance and sales before the store opens.

DFS Group saw what happens when scattered tools are consolidated into one place store teams will actually open. Within eight weeks of launch, 67% of colleagues were active users, almost double the 35% they had reached on their previous platform. Survey responses jumped from 90 to more than 500 in a single week, which changed what leadership could hear from the shop floor. The DFS Group case study has the detail, and more examples sit in our customer stories.

Lagardère Travel Retail took the same approach with a workforce spread across airports and travel hubs, replacing homegrown tools with direct two-way channels between country head offices and store staff. Active use of the newsfeed reached 93%. The Lagardère Travel Retail case study has the detail.

What the sequence looks like in practice

Michaels ran this work in a deliberate order while facing 60% seasonal turnover. The order is instructive, because the operational fixes came before the engagement programs.

First, they digitized frontline operations. Paper checklists and store walks became structured mobile tasks, which cut store admin time by 67% and gave managers visibility across the chain.

Second, they connected teams to leadership through a single mobile hub, with a dedicated Field Leadership Meeting Hub keeping stores aligned without flooding manager inboxes.

Third, they built community and recognition, launching function-based communities for teams such as Framing and Holiday, and running Gold Star Moments campaigns to celebrate top-performing stores publicly.

Fourth, they moved to mobile microlearning and career pathing, delivering short modules in the flow of work and adding Leadership Essentials training for managers.

Where to start

If you are choosing one thing to do this quarter, audit your scheduling practice. Count how many shifts change with less than 72 hours notice, how many clopenings you run in a typical week, and how far ahead your stores actually publish. That data usually makes the case on its own.

If scheduling is already stable, look at what sits on your store managers. Add up the hours going into admin, reporting and manual checks, then ask what coaching time is left once those are done. The answer explains a lot of turnover.

Everything else works better once those two are handled. For the wider strategic view across the whole retention picture, see our guide to retail employee retention, and for the financial case, the hidden cost of high turnover in retail.

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