Mapping the funnel from quote to switch to first bill

A household gets a quote in 90 seconds, likes the price, submits the application, and never becomes a customer: on day four the incumbent supplier lodged a debt objection because £180 was outstanding on the old account, and the registration was cancelled. Marketing counted a conversion that day. Billing never saw one. Repeat that across a month of volume and the gap between the two numbers is usually wider than anything a price move would produce. This lesson follows the physical path from quote to first bill and locates where the volume actually goes.

Why the energy funnelfunnelThe customer journey from awareness to purchase, typically Awareness, Interest, Consideration, Decision, Action, with prospects narrowing at each stage.View full definition → is unusually long

Most consumer funnels (streaming, retail, apps) go from interest to purchase in one session. Energy switching does not.

Between "quote requested" and "money flowing normally" sit several regulatory and operational stages with no equivalent in ecommerce:

1. Quote / comparison : customer sees a rate on a comparison site or direct channel.
2. Application and credit check : supplier verifies identity and creditworthiness before agreeing to supply.
3. Cooling-off period : a legally mandated window (14 days in the EU under the Consumer Rights Directive, similar protections via state rules in parts of the US) where the customer can cancel penalty-free.
4. Supply start / switch completion : meter registration changes, the losing supplier is notified and may object, the new supplier takes over billing.
5. First bill : the moment the price becomes real, not projected.

Two of those stages are outside marketing's control and one is outside the supplier's control entirely. In Great Britain, the Central Switching Service that went live in July 2022 brought standard switches down to around five working days, but it also formalised the objection window: a losing supplier can still block a transfer where the customer owes money more than 28 days old. Marketing has no lever on that at all, and yet it shows up as lost conversion.

Stage-by-stage benchmarks

Illustrative, order-of-magnitude figures, flagged as industry estimates for 2025 to 2026, not audited company data:

The bands move a lot by market and by channel. A comparison-led German funnel running through Check24 (which is paid per completed switch, so its definition of conversion is not the supplier's) tends to convert quote-to-application better than a direct site, because the visitor arrived already in buying mode and the portal pre-fills address and consumption data. The same funnel then loses more at the back end: bonus-driven cohorts cancel inside the cooling-off window when a better Sofortbonus appears, and a share of them are gone again at month 13, once the bonus condition is satisfied.

Diagnosing friction versus pricing

Read the *shape* of the drop-off curve, not the final conversion number.

• Front-loaded drop-off (quote to application) that worsens right after a price rise usually signals a pricing problem. Customers see the number and leave immediately.
• Drop-off concentrated at credit check or cooling-off, when the price was competitive, usually signals friction: too much information requested, no explanation of why a check is happening, or a call centre that gives the customer a second chance to think.
• Spike at first bill is almost always an expectation problem: the quoted estimate did not match actual usage.

The counter-example worth holding onto: a drop-off that looks like friction and is actually channel mix. If affiliate volume doubled last month and affiliate leads fail credit checks at three times the direct rate, the aggregate credit-pass rate falls without any single form or process having changed. Segment before you fix anything.

Worked calculation: what a lost switch costs

Assume 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 foundations lesson builds, computed per activated customer rather than per lead. Take 10,000 quotes in a month:

• 6,000 submit applications (40% drop at quote stage)
• 5,200 pass credit checks (800 lost)
• 4,400 survive cooling-off (800 lost)
• 4,100 reachreachThe number of unique people exposed to your message in a given period. Unlike impressions, reach counts each person once, no matter how often they see it.View full definition → supply start (300 lost to objections and registration failures)

Only 4,100 of 10,000 quoted leads reach supply, a 41% end-to-end rate. With $250,000 of funnel spend (ads, comparison fees, enrolment cost):

Cost per activated customer = $250,000 / 4,100 = ~$61

Now double the cooling-off loss, from 800 to 1,600, and hold everything else constant:

$250,000 / ~3,350 = ~$75, a 22% rise on identical spend

No price changed, no bid changed, no creative changed. Against the tenure-weighted value the lifetime valuelifetime valueLifetime Value: the total revenue (or profit) a customer generates throughout their entire relationship with your business.View full definition → lesson models, that 22% is the whole argument for instrumenting cooling-off separately instead of folding it into one 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 →.

Two arithmetic traps sit underneath this. First, timing: quotes land in month one and supply starts in month two, so a spend-over-activations calculation on a calendar month mixes two different cohorts. In a month when volume jumps (a price cap announcement, a cold snap), the lag flatters the number; in a falling month it punishes it. Calculate on the quote cohort, not the billing month. Second, supply start is not payment. A few percent of first direct debits fail or are cancelled before collection, and those customers are on supply, consuming energy, generating cost, and not yet paying. If you close the funnel at supply start you have counted them as won.

First bill shock and its retention cost

The first bill is a retention moment. Common triggers:

• Estimated versus actual meter readings diverging
• The standing charge (a fixed daily fee independent of usage, present in the UK and most EU markets) never explained upfront
• A direct debit set at an annualised average that does not match a high-usage first month, such as a January switch on electric heating

Migrations make this worse than acquisition does. When the npower brand was retired in 2021 and its residential customers moved onto E.ON Next, the transfer of accounts between billing systems drove billing and account-handling complaints for a sustained period afterwards: the customers had not chosen anything, but their first bill under the new brand behaved exactly like a bad switch. Any supplier acquiring a book should model complaint volume per migrated account before it models margin per migrated account.

Complaint volume at first bill is a leading indicator of churn. Ofgem publishes supplier complaint metrics, and persistently high billing complaint rates have brought both reputational damage and regulatory attention (see Ofgem's supplier performance reports). Treat first-bill complaint rate as a funnel metric, not an operations KPIKPIKey Performance Indicator, a measurable value that shows how effectively you're achieving a specific objective, tracked over time against a target.View full definition →.

Which metric to own at which stage

Different teams own different stages; marketing tracks the whole line.

• Quote to application: marketing owns it (pricing communication, landing pagelanding pageA standalone web page built for a single campaign goal, designed to maximise conversions by removing distractions and focusing visitors on one action.View full definition → clarity, form length).
• Credit check to cooling-off: shared with risk and compliance, but marketing watches the drop-off and the messaging around why checks happen.
• Supply start: operations-led, tracked by marketing as a time-to-value signal.
• First bill: billing and customer experiencecustomer experienceThe overall perception a customer forms of your brand across every interaction, from first touch to post-purchase support.View full definition → lead, marketing owns the retention signal.

The suppliers who do this well tend to have one system holding the whole path. Octopus, which built its own billing platform, Kraken, and used it to absorb Bulb's roughly 1.5 million customers from December 2022, can see a quote and a first bill in the same record. Where the comparison feed, the CRM and the billing system are three vendors, nobody can reconstruct the path, and the funnel gets reported as two disconnected numbers: leads at the top, accounts at the bottom, with the losses in between attributed to whichever team is least able to argue.

🎬 [VIDEO: "How Energy Switching Actually Works in the UK" - youtube.com - a walkthrough of the switching process from comparison site to supply start, useful for visualizing each funnel stage described above]

Key Takeaways

• The path has five stages (quote, credit check, cooling-off, supply start, first bill), each with its own drop-off and root cause; a single conversion rate hides all of them.
• Front-loaded drop-off usually means price; drop-off at credit check or cooling-off usually means friction; a first-bill spike means estimation. Check channel mix before concluding any of the three.
• Doubling cooling-off losses raised cost per activated customer by roughly a fifth in the worked example, with no change to spend, price or creative.
• Calculate on the quote cohort, not the billing month, and close the funnel at first successful collection rather than at supply start.
• Book migrations produce first-bill complaints without any acquisition happening at all, as the npower move to E.ON Next showed; price the complaint volume in before the deal.