Utility Collections Benchmarks: The 7 Numbers Behind a Shrinking Arrears Book
28 percent of customers behind on their energy payments say they were not contacted by their supplier. Here are the 7 utility collections benchmarks that tell you whether your arrears book shrinks, and how to pull each one this week.
Satisfaction with energy customer service is at an all time high, 77 percent. In the same research, 28 percent of customers who had fallen behind on their payments said they were not contacted by their supplier.
Both numbers come from Ofgem's most recent consumer satisfaction survey. That second one moved up from 20 percent in the previous wave.
Utility collections benchmarks are the handful of numbers that tell you whether your arrears book shrinks: contact coverage, right party contact rate, promise to pay rate, kept promise rate, days to first contact, cost per contact, and roll rate. Seven numbers. Most collections dashboards report two.
Recovery rate tells you how the accounts you worked performed. Coverage tells you how many you never reached at all.
So pull one number before you read further. Of the accounts that went past due last month, what share had an actual conversation, not an SMS and not a letter, inside 15 days?
Why coverage is the number nobody puts on the dashboard
Around 75 percent of domestic energy debt in Great Britain has no repayment arrangement attached to it, per quarterly analysis of Ofgem's domestic debt data. Three quarters of the book with no plan on it.
Capacity explains most of that gap. A collections team can only have so many conversations in a day.
Do the arithmetic on a credit team of 12. Say each collector makes 45 outbound attempts a day and reaches the right person on roughly a quarter of them. That is about 135 right party conversations a day across the team, so around 2,800 a month.
Now say 9,000 accounts roll past due in that month. You covered 31 percent. The other 69 percent got a letter, an SMS, and silence.
Coverage. If you cannot say what share of new arrears got a conversation inside 15 days, your recovery rate is describing a sample rather than a book.
The 7 utility collections benchmarks worth tracking
Every one of these comes out of a dialer export, a billing extract, and one number from finance. No new software required.
1. Arrears contact coverage. Accounts with at least one right party conversation, divided by accounts that entered arrears in the same window. Source: dialer dispositions joined to billing. This is the number that exposes the gap.
2. Right party contact rate. Right party connects divided by dial attempts. Source: dialer. Break it out by daypart and by language, because the average hides where the attempts are being wasted.
3. Promise to pay rate. Promises secured divided by right party conversations. Source: collector dispositions or CRM. Segment by balance band. A 40 euro balance and a 900 euro balance behave nothing alike.
4. Kept promise rate. Promises where the payment actually landed on time, divided by promises made. Source: payments file. This is the honest one. A strong promise to pay rate with a weak kept rate means your scripts are collecting agreement that never turns into payment.
5. Days to first contact. Median days from due date to the first right party conversation. Source: dialer timestamps against invoice dates. Every day here shows up later in DSO.
6. Cost per contact. Fully loaded team cost for the period divided by right party conversations. Fully loaded means salary, employer costs, telephony, dialer licences and supervision. Source: finance plus dialer.
7. Arrears roll rate. Share of balances moving 30 to 60 days, and 60 to 90, month over month. Source: aged debt report. Roll rate is where coverage and speed either pay off or do not.
Write those seven down, put today's value next to each, and leave the target column blank for now.
Set your own baseline before you chase an industry average
Cross sector collections benchmarks are easy to buy and mostly unhelpful for a utility book. Prepayment mix, tariff type, seasonal load and local rules move these numbers more than operator skill does.
The supplier ranking work from Citizens Advice shows how wide the spread runs inside a single market, with a median supplier customer service score of 3.26 out of 5 in the most recent quarter it published.
So build your own baseline. Take the last four quarters, compute all seven numbers by month, then cut them by balance band, language and daypart.
Your own trailing four quarters beat any industry average you can buy.
Then set targets that are a step and not a leap. Moving coverage from 31 percent to 45 percent in a quarter is real work. Promising 90 percent is how a programme loses credibility in week three.
The Day 5 and Day 15 gap, in practice
An illustrative example, not a customer. Picture a 40 seat contact centre at a mid sized water utility in northern Portugal. August. Inbound abandonment at 22 percent after a billing cycle change, with half the floor on holiday cover.
The credit team sits on the same floor. When inbound spikes, supervisors pull collectors onto the queue. Right call for the day. Wrong call for the quarter.
The Day 5 reminders do not go out. The Day 15 reminders do not go out. Promise to pay follow ups from the previous week slip. Change of tenancy accounts, where somebody moved out and the balance is still sitting there, get nothing at all.
Six weeks later the 30 to 60 day roll rate jumps and nobody can point to a single decision that caused it.
That is the pattern. Coverage does not collapse in a crisis. It leaks during a busy fortnight.
Where a voice AI worker moves these numbers
Repetitive outreach is what breaks first when volume spikes. Day 5 reminders, Day 15 reminders, promise to pay follow ups, meter reading prompts, change of tenancy chasers. None of it needs judgement. All of it needs to happen on time.
Hand that work to a voice worker so your collectors keep the conversations that need a person: hardship, disputes, complex negotiation, anything carrying a vulnerability signal.
AutoNurture.AI runs past due reminders on cadence in 12+ languages, negotiates payment plans inside the policy you set, sends tokenised payment links so no card data is spoken on the call, and writes the outcome back to your CRM per call.
Escalation matters more than automation here. When a call turns into a negotiation or a risk signal appears, the hybrid human and AI dialer passes it to a human seat in under two seconds with the transcript and the account already on screen.
For utilities the plumbing is the hard part, so check the connector list first. The utility billing and ERP integrations cover SAP IS-U, powercloud, Schleupen.CS and Oracle Utilities CC&B alongside the usual CRM and payment providers.
Coverage is where this shows up first, because dial windows, retry logic and do not call rules run automatically instead of depending on who happens to be free at 6pm.
The utilities and energy playbook walks through the workflow end to end.
The consent and GDPR checklist for arrears calling
Practical, not scary. Walk this before you dial at volume, then have your compliance team sign it off.
1. Lawful basis documented for arrears contact, separately from marketing consent.
2. Recording notice delivered at the start of every call, in the customer's language.
3. Retention period set and enforced on recordings and transcripts, with a deletion job you can evidence.
4. Data residency confirmed for processing, not only for storage. Ask where the audio and the transcript are handled.
5. Do not call and vulnerability flags read from the source system before dial, not after.
6. Dial window rules per market, with a hard stop outside permitted hours.
7. A route to a human on every call, at any point, without the customer having to ask twice.
Ask any vendor for a DPA, configurable retention and right to be forgotten in writing. Your obligations depend on your market and your regulator, so check with your compliance team before you sign anything.
A 30 day plan to make these numbers honest
1. Week one. Pull all seven numbers for the last four quarters. Fix nothing yet.
2. Week two. Pick the two worst. In most utility books that is coverage and days to first contact.
3. Week three. Put automated outreach on one segment only. One balance band, one language, Day 5 and Day 15 reminders. Leave everything else exactly as it is.
4. Week four. Compare that segment against a matched holdout worked the old way, same balance band, same period.
5. Then decide. If coverage moved and kept promise rate held, widen the segment. If kept promise rate dropped, the script needs work before the volume does.
One segment, one holdout, one month. That is how you get an argument that survives a finance review.
What to do next
Open your dialer export and your aged debt report side by side and work out arrears contact coverage for last month. If the number embarrasses you, that is the right place to start.
Then book a demo and we will run a voice worker against your own aging report, in your own language, live on the call.
Frequently asked questions
What are utility collections benchmarks?
They are the operational numbers a utility credit team uses to judge arrears performance: arrears contact coverage, right party contact rate, promise to pay rate, kept promise rate, days to first contact, cost per contact, and roll rate. Recovery totals on their own hide which accounts were never reached.
What is a good promise to pay rate in utility collections?
There is no single credible figure across utilities, because prepayment mix, balance bands and local rules move it more than technique does. Build a baseline from your own last four quarters, segment by balance band, and always read kept promise rate next to it.
How do you calculate cost per contact in a collections team?
Take fully loaded team cost for the period, including salary, employer costs, telephony, dialer licences and supervision, then divide by right party conversations in the same period. Dividing by dial attempts flatters the number and hides connect quality.
What is arrears contact coverage?
Accounts that had at least one right party conversation, divided by accounts that entered arrears in the same window. It answers the question most dashboards skip: how much of the new arrears book did anyone actually speak to.
Can AI voice agents call customers in arrears under GDPR?
Teams do run automated arrears outreach in the EU with a documented lawful basis, recording notices, a set retention period, EU data residency, and do not call and vulnerability flags read before dial. Requirements vary by market, so confirm your setup with your compliance team.
Does automating arrears calls replace human collectors?
No. The point is to cover the repetitive outreach that slips when volume spikes, the Day 5 and Day 15 reminders and the promise follow ups, so collectors spend their day on hardship, disputes and negotiation where a person changes the outcome.
How quickly do these numbers move?
Coverage and days to first contact respond within weeks because they are functions of dial capacity and timing. Kept promise rate and roll rate lag by a billing cycle or two, so give any change a full quarter before you judge it.
