Hold Time Percentage
Definition
Hold Time Percentage
Hold time percentage is the share of total handle time that callers spend waiting on hold rather than speaking to an agent. It is the part of a call that feels longest, and it drives abandonment faster than queue time already does.
Hold is different from queue. Queue time happens before anyone answers, while hold happens after contact has been made and expectations have already been set.
That difference matters to the caller. Being put on hold after reaching a person reads as a broken promise — in a way that waiting in a queue never does.
Key takeaways
- Hold time percentage divides total hold time by total handle time.
- Hold happens after answer; queue time happens before it.
- High hold usually points at knowledge or system access, not at agent speed.
- Silent hold is the worst version; messaging or music changes perceived duration.
How it works
Hold time percentage is calculated by dividing the total time callers spend on hold by total handle time for the same period, then multiplying by 100 to express the result as a share of the conversation.
The formula is: (total hold time ÷ total handle time) × 100.
Causes cluster into four groups, and each responds to a completely different fix.
| Hold cause | What it signals | Fix |
|---|---|---|
| Looking up information | Knowledge base gaps | Better content, better search |
| Waiting for a system | Slow or siloed tooling | Integration, permissions |
| Consulting a colleague | Training or authority gap | Coaching, raised limits |
| Warm transfer setup | Process by design | Acceptable, track separately |
The first two rows are avoidable and account for most hold time in practice — the third is a capability problem, and the fourth is legitimate.
Regulators already treat waiting as a harm in outbound calling. The U.S. Federal Trade Commission’s Telemarketing Sales Rule treats a call as abandoned when a person answers and is not connected to a sales representative within two seconds of a completed greeting.
Assisted contact volume stays large even in digital-first services. The IRS Data Book records 50.4 million taxpayers assisted by calling or visiting an IRS office in FY 2025.
Report it as a percentage rather than as raw seconds. A 90-second hold inside a 12-minute call is very different from the same hold inside a 3-minute one.
The measure sits directly beside hold time and the inbound-specific average hold time, which most reporting platforms produce by default.
Silence is the enemy. Hold messaging that sets an expectation shortens the perceived wait even when the actual wait is unchanged.
Never target hold in isolation. Agents told to avoid hold simply guess instead, which raises repeat contacts and lowers resolution.
Examples
Hold behaviour varies by how much information agents can reach without help and how integrated the underlying systems are. Five cases show what pushes the percentage up or down.
Insurance claims lines carry the highest hold. Policy lookups across legacy systems keep callers waiting mid-conversation — and no amount of coaching fixes a slow database.
Utilities cut hold sharply through desktop integration. Bringing billing and metering data into one screen removed most look-up hold in a single change.
Airlines see hold spike during disruption. Agents wait for rebooking availability, so hold rises exactly when caller patience is lowest.
Healthcare lines hold for verification. Insurance eligibility checks are external, which makes some hold genuinely unavoidable rather than a process failure.
Outsourced providers report hold percentage per client. Buyers should ask whether warm-transfer hold is separated out, since bundling it overstates the avoidable portion.
Related terms
Hold time percentage sits inside the call-timing family alongside the measures it borrows from and the caller-experience metrics it damages. The terms below cover the components, the queue measures, and the outcomes.
- Hold Time: the raw duration this percentage expresses as a share.
- Average Hold Time for Inbound Calls: the inbound-specific average most platforms report.
- Hold Messaging: the content that changes how long a hold feels.
- Average Handle Time (AHT): the denominator this percentage is measured against.
- Expected Wait Time: the pre-answer estimate given while callers are still queuing.
- Abandon Rate Percentage: the outcome long holds most directly cause.
- First Contact Resolution: the measure that suffers when agents avoid hold by guessing.
FAQ
How is hold time percentage calculated?
Divide total hold time by total handle time for the period, then multiply by 100.
What is a good hold time percentage?
Most consumer operations aim below 10% of handle time, with complex verification-heavy queues running higher for legitimate reasons.
Is hold time the same as queue time?
No. Queue time happens before a call is answered, while hold happens after the caller has already reached someone.
What causes most avoidable hold?
Information look-ups and slow systems, far more often than agent hesitation.
Does hold music actually help?
It changes perceived duration rather than actual duration, and messaging that sets an expectation works better than music alone.
Should agents be scored on hold?
Only alongside resolution, because pressure to avoid hold pushes agents to guess.
Source partners tightening call handling across client queues can compare delivery models via Outsource Accelerator hubs.
Independent
