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    Program analytics 9 minute read / September 2026

    Global mobility metrics: the 5 KPIs you should be reporting on this quarter

    Nearly four in ten global mobility programs do not measure success at all. Not because the metrics are unknowable, but because the data was never assembled. These five KPIs need nothing you do not already hold.

    The foundation layer, and who asks for each Jump to any metric
    1. Cost estimate accuracyVariance between the approved estimate and the final actual, by driver.Finance
    2. Cost per move by unit and tierWhere the spend actually sits, and which policy tier it bought.Finance
    3. Time to deployRequest to first day in the host location, split by stage.The business
    4. Compliance exposureWho you can see, and who is approaching a threshold.Legal and tax
    5. Policy compliance rateShare of moves that held to their tier, and where the rest went.Mobility

    Your program Benchmark or comparison Acceptable zone Where to look Approaching a limit

    Global mobility metrics are the measures a mobility program uses to show how it performed, not simply what it spent. The five most programs can report from data they already hold are cost estimate accuracy, cost per move by business unit and policy tier, time to deploy by stage, compliance exposure and days to threshold, and policy compliance rate.

    Most articles about global mobility metrics describe what a program ought to measure. This one is narrower on purpose. Every metric below can be produced from data a mobility team already generates in the course of running moves, which means the answer to "why aren't we reporting this?" is never "we don't have the data."

    That distinction matters more than it sounds. AIRINC's 2025 Mobility Outlook Survey found that 39% of companies don't measure assignment success at all, and only 35% have a clear, defined framework for it. The other 45% rely on informal or vague indicators. That is not a profession that lacks ambition. It is one where the reporting has never been built, so every question from the CFO becomes a one-off data-gathering exercise.

    39%don't measure assignment success at all
    45%rely on informal or vague indicators
    35%have a clear, defined framework

    AIRINC 2025 Mobility Outlook Survey.

    Why don’t most global mobility programs measure success?

    Because of where the data sits. KPMG found that 72% of organizations still report from spreadsheets, against 16% using a dedicated analytics engine. When your numbers are assembled by hand from vendor invoices, payroll extracts and immigration trackers, you report whatever is easiest to pull. Usually that is total spend, which tells leadership what mobility consumed and nothing about how it performed.

    Meanwhile demonstrating ROI has become the number one challenge mobility leaders name, with the share citing cost management falling from 39% in 2024 to 18% in 2025. The expectation moved. The reporting did not.

    What are the 5 global mobility metrics to report?

    Each one below shows the shape the metric takes once you plot it. The figures are illustrative, but the shapes are the ones real programs produce.

    1

    Cost estimate accuracy: estimate versus actual variance

    Reported to finance

    What it measures: the variance between the cost estimate issued at approval and the final actual cost of the move, tracked as a percentage and by driver.

    ±10% tolerance −30%−10%0 +10%+30%+50% Under estimate Over estimate Median +14% Inside tolerance (16) Outside tolerance (8)
    One quarter of completed moves. Two thirds landed inside the band. The long right tail is the real tell: overruns run one direction only, which means the estimate model is structurally low rather than merely noisy.

    Total spend is a rear view mirror. Estimate accuracy measures whether your program can be planned around. A business unit told an assignment will cost $310,000 and then invoiced $395,000 does not conclude that mobility is expensive. It concludes that mobility cannot be trusted with a forecast, and it starts building its own contingency.

    Report median variance, the share of moves landing inside your tolerance band, and the top three drivers of overrun. Housing, tax equalization settlements and extensions usually account for most of it. Once you can name the drivers, you can price them into the next estimate.

    Watch out for comparing against a revised estimate rather than the original approved one. Whichever system you use has to keep the first number intact after the second one is issued, or this metric quietly measures nothing.
    2

    Cost per move by business unit and policy tier

    Reported to finance

    What it measures: total and average cost per move broken down by requesting business unit, with each unit's spend split across the policy tiers it used.

    Tier 1 Tier 2 Tier 3 Engineering 38 moves, $4.9M Commercial 22 moves, $2.4M Manufacturing 41 moves, $2.1M Corporate 9 moves, $1.3M 88% at the top tier, for 9 moves
    Bar length is total spend, not move count. Manufacturing runs the most moves for the second-least money because it uses the lightest tier by default. Corporate runs nine moves for $1.3M, almost entirely at tier one. Neither fact is visible in a program-level average.

    Average cost per move across a whole program is close to meaningless, because it blends a graduate relocation with a family assignment to Tokyo. Split by requesting unit and by tier, the same data answers a much better question: which parts of the business are consuming the expensive end of your policy, and did anyone decide that on purpose?

    This is also the metric that makes budget conversations concrete. "Mobility spent $10.7M" invites a cut. "Corporate spent $1.3M on nine moves, all at tier one" invites a conversation about tier eligibility, which is a decision the business can actually make.

    Watch out for attributing cost to the mobility function rather than the requesting unit. If the spend sits on your cost center, every review turns into a referendum on your budget rather than on demand.
    3

    Time to deploy: assignment cycle time by stage

    Reported to the business

    What it measures: elapsed days from initiation of a move request to the employee's first day in the host location, segmented by stage.

    Median cycle, long-term assignments 57 days 49 1622 6 InitiationEstimateApproval ImmigrationDeparture 35 days inside your control 22 days at a government Approval alone runs longer than visa processing. Almost nobody reports it that way.
    The segmentation is the whole point. Reported as a single 57-day average, this looks like an immigration problem and an excuse. Split by stage, most of the delay sits in queues you own and can fix.

    This is the metric the business actually feels. A hiring manager waiting eleven weeks for a critical engineer is not thinking about your cost per move. Time to deploy is also the fastest of the five to produce, because the timestamps are already being written every time a request moves a step forward.

    Split the cycle into initiation, cost estimate, approval, immigration and pre-departure. Most programs find their two longest internal stages are approval routing and estimate turnaround, both of which respond to process changes rather than budget.

    Watch out for reporting one average across every move type. A permanent transfer and a three-month project assignment have nothing in common. Segment by policy tier, the same way metric 2 does.
    4

    Compliance exposure and days to threshold

    Reported to legal and tax

    What it measures: the share of your mobile population with complete, current compliance data, plus the number of people approaching a tax residency, permit expiry or permanent establishment trigger.

    Who you can actually see 55% coverage 312 assignees 186 travelers 402 remote workers, untracked The exposure is in the population nobody counted. Days until someone crosses a line Today30 days 60 days90 days 4 need action this month
    Coverage first, then the horizon. A year-end count of breaches is a post mortem. A list of who crosses a line in the next thirty days is an operational tool, and it only works if the denominator includes the people nobody registered as mobile.

    Most compliance reporting is a body count of incidents after the fact. Useful for auditors, useless for prevention. The forward-looking version has two parts: coverage tells you what proportion of your population you can see, and days to threshold tells you who is approaching a line and how long you have to act.

    Coverage is the uncomfortable half. Day counts and permit expiries are straightforward to monitor once someone is in the system. The people generating the most unmanaged exposure are usually the ones who never triggered a mobility process at all.

    Watch out for measuring coverage only across formally managed assignments. That turns a 55% number into a reassuring 100% and hides precisely the population the metric exists to find.
    5

    Policy compliance rate: exceptions by type and requester

    Reported to mobility and reward

    What it measures: the share of moves delivered within their assigned policy tier without an exception, with the remainder categorized by exception type, cost and requesting unit.

    Last 50 moves 36 held to tier = 72% compliance Where the other 14 went Housing uplift 41% Timeline 23% Eligibility 19% Other 17%
    72% is not a governance problem. Four in ten exceptions are housing uplifts clustered in three cities. That is a stale cost table, fixable in an afternoon, and discoverable only if a departure from tier is recorded as data rather than approved in an email thread.

    Compliance rate is the cheapest diagnostic in mobility, because every exception is a documented instance of your policy failing to meet a real situation. A rate above roughly 90% suggests policy is holding. Drop toward 70% and the policy has effectively been replaced by case by case negotiation, and you are carrying the administrative cost of a framework nobody follows.

    The breakdown is what makes it actionable. KPMG found 42% of organizations conducted a policy review in the past year, with 32% planning updates in the next 12 to 18 months. Exception data is the difference between a review driven by evidence and one driven by whoever complained loudest.

    Watch out for only logging exceptions that carry a cost. Timeline and eligibility account for 42% of the picture here, and they are the ones that predict where policy breaks next.

    None of these five requires new data. They require the data you already generate to stop living in four systems that have never spoken.

    Which global mobility metrics does this list leave out?

    These five are the foundation layer, not the whole picture. The metrics companies most often name as the measure of success sit one level up, and they need inputs a mobility team does not generate on its own.

    Employee satisfactionNeeds a survey instrument and a response channel35%
    Retention post-assignmentNeeds HRIS leaver data joined to move records24%
    Career progressionNeeds promotion history and a matched peer group24%
    Achievement of assignment goalsNeeds the objective captured as a field at initiation11%

    Share of companies tracking each, AIRINC 2025 Mobility Outlook Survey.

    Note how few companies reach them. Only 11% track whether an assignment achieved what it was approved to achieve, which means most stated ROI measurement has no denominator. That is not a reason to skip the foundation. It is the reason the foundation matters: you cannot benchmark a talent outcome until you know what the move cost, how long it took, and whether it followed policy.

    How should you report mobility metrics to stakeholders?

    Match the metric to the audience. A single dashboard shown to four groups tends to land with none of them.

    FinanceEstimate variance and the drivers behind it, then spend by unit and tier
    The businessTime to deploy, split into the stages they can influence
    Legal and taxCoverage percentage and the 30-day threshold list
    Mobility and rewardCompliance rate by exception type, feeding the next policy review

    Then set the cadence and hold it. A quarterly pack of five numbers that arrives without being asked for does more for the function's standing than an annual deep dive assembled under pressure. It also moves you out of the 39% who measure nothing, which is a lower bar than it should be and a good place to start.

    Global mobility metrics: frequently asked questions

    What are the most important global mobility metrics?

    The five that most programs can produce from existing operational data are cost estimate accuracy, cost per move by business unit and policy tier, time to deploy by stage, compliance exposure and days to threshold, and policy compliance rate. Employee satisfaction, post-assignment retention and career progression matter as much, but they require survey and HRIS data a mobility team does not generate on its own.

    How do you measure global mobility ROI?

    Start by fixing the denominator. Only 11% of companies track whether an assignment achieved the objective it was approved for, so most stated ROI measurement compares cost against nothing. Capture the business objective as a structured field at initiation, then measure cost, cycle time and policy compliance against it.

    What is a good policy compliance rate for a mobility program?

    Above roughly 90% suggests the policy is holding. Below about 75%, case by case negotiation has effectively replaced the policy, and you are paying the administrative cost of a framework nobody follows. The exception breakdown matters more than the headline rate, because it shows which part of the policy is out of date.

    How do you calculate cost per move?

    Total program spend divided by completed moves gives a number that blends a graduate relocation with a family assignment to Tokyo. Break it down by requesting business unit and by policy tier instead, so the figure answers which parts of the business are consuming the expensive end of the policy.

    Why don’t more companies track mobility metrics?

    Because of where the data sits. KPMG found 72% of organizations still report from spreadsheets against 16% using a dedicated analytics engine, so every question becomes a manual assembly job across vendor invoices, payroll extracts and immigration trackers.

    How does Topia Horizon track these metrics?

    These five were chosen because they come from operational data, not from a separate measurement exercise. Horizon holds that data in one place.

    The estimate stays intactScenario simulations and a proprietary tax engine produce the estimate, and a field-level audit trail with before and after snapshots means the originally approved figure survives every later revision.
    Spend split the way finance asksPolicy-tier-linked simulations plus HRIS integration for the org hierarchy, so cost resolves to the requesting unit and the tier it bought rather than to the mobility cost center.
    Stage timestamps already existThe full lifecycle from initiation through repatriation runs on automated workflows and approval controls, which means cycle time by stage is a reporting question, not a data-collection project.
    Thresholds watched continuouslyDay counts, travel patterns, permit expiries and permanent establishment triggers monitored across assignees, business travelers and remote workers, so coverage includes the population that never filed a request.
    Departures from tier get recordedSimulations tied to your policy tiers and configurable rules reflecting your own thresholds, so an exception becomes a data point instead of an approval email.
    One layer, four audiencesThe same underlying record serves finance, the business, legal and mobility without four separate extracts and four different versions of the number.

    See these five on your own data

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