Retention and win-back benchmarks in a contract-renewal-driven market

In Great Britain the retention budget gets spent inside a window you can put in a diary. Ofgem rules oblige a supplier to send a statement of renewal terms 42 to 49 days before a fixed-term contract ends. From the day that letter lands there are about six weeks in which the customer is thinking about price, and then the moment shuts: they re-sign, they roll onto the default tariff, or they go. In Texas the same window exists, except it opens with an outboundoutboundProactive outreach that pushes your message to targeted audiences through advertising, email, or direct prospecting, initiated by the seller rather than the buyer.View full definition → dialler instead of a letter.

Three interventions sit on that calendar and they have almost nothing in common financially. The renewal offer is cheap per customer and expensive in margin. The save desk is expensive per contact and cheap in margin if the agent holds the line. The win-back is the cheapest to fire and converts worst. This lesson sets the benchmark for each, and the price of getting the trade wrong.

Why renewal windows dominate the funnelfunnelThe customer journey from awareness to purchase, typically Awareness, Interest, Consideration, Decision, Action, with prospects narrowing at each stage.View full definition →

In deregulated retail markets (Texas, GB, parts of Australia, Germany, Belgium) the term ends and the customer does one of four things:

1. rolls onto a variable or default tariff (passive retention)
2. re-signs a fixed deal with the same supplier (active retention, the only outcome marketing can claim)
3. switches to a competitor (churn)
4. does nothing while regulation pushes the supplier to tell them a better deal exists, which is what the end-of-fixed-term statement is for

In regulated, vertically integrated territories (most of the US outside Texas, much of continental network-owned supply) there is no supplier to switch to. Retention there means enrolment: budget billing, demand response, a green tariff add-on. Comparing a Texas retailer's churn to a regulated utility's is comparing two sports.

The three core metrics

1. Retention rate

Retention Rate = (Customers at end of period − New customers acquired)
                 / Customers at start of period × 100

Worked example: a supplier starts the year with 500,000 residential accounts, acquires 60,000 and ends with 520,000. It lost 40,000.

Retention rate = (520,000 − 60,000) / 500,000 × 100 = 92%

GB household switching has historically run in a 10 to 20% annual band, tracked in Ofgem's retail market indicators. Texas competitive retail churn is usually put at 20 to 35% a year (estimate drawn from industry commentary rather than one official series).

Then look at what happened to those benchmarks. Through 2022 domestic switching in GB fell to a fraction of normal because almost no supplier had a fixed deal that beat the price cap, and many stopped selling to new customers altogether. Suppliers posted retention numbers they had not earned. Around 30 GB suppliers exited the market across 2021 and 2022; British Gas was appointed supplier of last resort for People's Energy and its roughly 350,000 customers in September 2021, a book acquired with no marketing spend and no goodwill, since nobody chose it. Involuntarily transferred customers churn on a different curve from ones you won, so any retention benchmark built on 2022 data measures the wholesale market rather than the marketing.

2. Save rate on renewal and retention calls

Save Rate = Customers retained after retention contact
            / Total at-risk customers contacted × 100

Well-run retention desks across subscription and utility-adjacent industries commonly report 30 to 50% (estimate, widely referenced in contact centre benchmarking work such as ICMI's; energy-specific figures are rarely published). Proactive outbound calls at 30 to 60 days out beat inboundinboundA strategy that attracts prospects organically via valuable content (blog, SEO, social) rather than interrupting them.View full definition → cancellation calls, because the customer has not yet committed emotionally or filled in a switch form.

Now the cost side, which is what a leader signs off. A fully loaded agent minute in a UK contact centre is on the order of 50p to £1. A six-minute save conversation, plus dialler attempts on the majority who never pick up, puts cost per completed conversation in single-digit pounds and cost per save at roughly two to three times that. The call is affordable. The discount is not. Ofgem's default tariff cap has long allowed suppliers an EBIT margin of around 2% of the bill, which is tens of pounds a year per household, so a £40 credit or a fix priced £50 under the book rate spends more than a year of allowed margin to buy twelve months of tenure. Whether that trade clears depends on the cohort tenure and margin model the lifetime-value lesson builds; the save desk's own P&L only ever shows you the cost.

The obvious comparison is Sky, whose retentions desk is a British institution: call to cancel and a discount arrives before you finish the sentence. Sky can do that because a bundle has content margin to give back and a fresh 18-month term to claw it back over. An energy supplier discounting a unit rate on a hedged book gives the margin away immediately and cannot sell the customer more kilowatt hours to recover it. Importing the telecoms save playbook without pricing that difference is one of the more expensive mistakes in the sector.

Two edge cases break the model. Prepayment customers sit close to the cap with little room to discount, so the save is a debt and payment-plan conversation rather than a price one. In business supply the broker holds the relationship, and what looks like a save rate is really a commission negotiation with an intermediary. Both need their own denominators. On targeting, rank the outbound file with the app-login and usage-alert signals the engagement lesson defines: a customer silent in the app for six months with a direct debit in shortfall is a different risk from one acting on alerts, and the desk has capacity for maybe a fifth of the renewal book.

3. Win-back conversion rateconversion rateThe percentage of visitors or prospects who complete a desired action (purchase, sign-up, contact form), calculated as conversions divided by total opportunities.View full definition →

Win-Back Conversion Rate = Reactivated customers
                            / Lapsed customers targeted × 100

Cross-industry win-back campaigns typically land at 5 to 15% for a single wave (estimate; energy-specific public benchmarks are scarce). Timing to a competitor's price increase or to the lapsed customer's own renewal anniversary works because that is when they are back on comparison sites.

The failure mode is selection. A discounted fix wins back the most price-sensitive part of the lapsed file, which is the group most likely to leave again at the next renewal, so model the payback over one term rather than a notional lifetime. Screen the file for closing balances too: reactivating a customer who left owing money buys back the debt along with the meter. Judge cost per reactivation against the acquisition costacquisition costCustomer Acquisition Cost (CAC) is the total sales and marketing spend divided by the number of new customers gained in a period. It measures how efficiently you grow.View full definition → the CAC lesson calculates, including the comparison-site route, and kill the campaign when it loses.

Regulated vs. deregulated: the benchmark contrast

In deregulated markets retention spend competes for the same budget as acquisition, because both defend share and both can be priced per customer. In regulated territory there is no share to defend, so the money moves to programme adoption and complaint reduction, and the benchmarks above simply do not transfer.

Reading these numbers like an operator

• Hold out a control group. If every contacted customer gets an offer, the save rate mostly measures who answered the phone. Leave 5% of the renewal file alone for a quarter and compare re-sign rates. Suppliers who do this usually find a meaningful slice of their "saves" were never leaving, and that share of the discount is a straight margin donation.
• Watch for passive retention inflation. A high retention rate can just mean customers did nothing and landed on an expensive default tariff. Ofgem has spent years attacking that loyalty penalty, and it converts into complaints and reputational cost later.
• Segment save rate by channel. Online cancellation flows convert far below live agent calls because nothing counter-offers. Some suppliers route the request to a phone number; others drop a live chat handoff into the flow, the pattern conversational marketing vendors such as Drift sell, and they have an obvious interest in the answer. Either way, report the two channels separately or the blended number is meaningless.
• Date-stamp every benchmark. A 2022 GB retention rate and a 2024 one describe different markets, not different marketing teams.

🎬 [VIDEO: "How Energy Switching Works in the UK" - youtube.com/results?search_query=how+energy+switching+works+uk+ofgem - a plain-language explainer on the UK deregulated switching process and regulator role, useful context for retention mechanics]

Key takeaways

• Retention rate = (ending customers − new customers) / starting customers × 100. Competitive churn runs roughly 20-35% in Texas and 10-20% in GB in normal years, with 2022 an outlier close to zero.
• Save rates of 30-50% are the mark for a trained desk, and proactive calls inside the 42 to 49 day notice window beat inbound cancellations.
• Cost per save is single-digit pounds of agent time plus a discount that can exceed a year of the roughly 2% EBIT margin the cap allows. The discount, not the call, is the decision.
• Win-back converts at 5-15% per wave, selects for the price-sensitive, and must be judged over one contract term against fresh acquisition cost.
• Always check whether a reported retention number is an active re-sign, a passive rollover, or a book handed over by a failed competitor.