23 ways CPOs fix underperforming sites: the remedy playbook

Article 2 of 2. Companion piece: Why chargers underperform

Profitability is the slide every charging board deck now ends on. Ask most operators how they get there, and the answer involves growth: more sites, more hardware, economy of scale.

The market has started moving the other way. Zapmap noted in mid-2026 that operators are shifting focus toward utilisation rather than deployment, and that poorly performing chargers are being pulled out of public use. Their utilisation work with the Green Finance Institute found usage rates holding within a narrow band through 2025 while the network grew 13%. Adding chargers is no longer the same thing as adding revenue.

So the return has to come from the estate you already own. Sites pulling half of what they should. Chargers that look fine on a map and lose money every week.

In our business, we speak with heads of operations and network performance of charge point operators across Europe. We often ask one question: when a site underperforms, what do you do about it?

Twenty-three distinct remedies came out again and again. We decided to organise these into five categories and present them systematically.

Before anything: name the cause

Every operator we speak to does the same thing before lifting a finger. They work out which kind of problem they have, because the fix depends entirely on the cause.

Bucket

The short version

Demand

Hardware healthy, too few EVs or too little awareness in the catchment

Physical site & visibility

The site works, drivers cannot find it, reach it or read it

Technical / uptime & faults

Attempts happening, charges not completing

Price & competitor activity

A rival moved, and your volume followed

Location

Weak since day one, no event explains it

Our companion guide, Why chargers underperform, works through the symptoms that separate these. The rest of this piece assumes you already know which bucket you are in.

The lever menu

Shares below show roughly how many of the operators we spoke with raised each remedy. We have rounded them, and we name no operator, because several of these remedies came from a small number of teams who would be identifiable otherwise.

Pricing

The most-discussed category, at around a quarter of everything raised.

Remedy

Share of operators

When it fits

Check it worked

Cut price or run a targeted discount (network, hub or socket level)

75%

A rival cut their tariff, or a healthy site with room above the cost floor

Utilisation and kWh against control sites; margin per kWh stays above floor

Hold and do nothing through a short competitor promotion

65%

The promotion is time-boxed, and your network is sticky enough to ride it out

Does utilisation recover on its own once the promotion ends?

Time-of-day pricing to move demand into quiet windows

35%

Sharp peak and trough pattern with spare capacity off-peak

Off-peak session growth without eroding peak margin

Price is the first reflex almost everywhere. The more interesting position, raised nearly as often, is knowing when to sit on your hands. Several operators described watching a rival run a time-boxed deal nearby, holding their own tariff, and waiting for volume to come back. Cutting in response starts a race nobody wins.

Some teams also cap how far they will discount, because a tariff change carries operational cost of its own once you count reboots and comms. Before you move, benchmark: Zapmap put the July 2026 weighted average pay-as-you-go price at 54p/kWh up to 49kW and 80p/kWh at 50kW and above. If you sit below market and still lose volume, price is not your problem.

Marketing & demand

Around a quarter of everything raised, and the category operators reach for fastest once the hardware checks out.

Remedy

Share of operators

When it fits

Check it worked

Hyperlocal promotion in a tight radius around the site

55%

Site is healthy, but nobody local knows it exists

New users inside the radius; session uplift against baseline

Flyer and leaflet drops

45%

Residential areas with little off-street parking, or a brand new site

Sessions and new users in the weeks after the drop

Fleet and B2B deals for quiet windows

35%

Consistent dead hours plus depots nearby

Contracted off-peak volume; blended site utilisation

App push to drivers near the site

10%

You have an app user base in the catchment

Push-to-session conversion against a hold-out group

Win-back after a failed charge or a fix

10%

Failed-charge events, or a site you have just repaired

Return rate of contacted users

One rule governs this whole category: never market a site you have not verified. J.D. Power's 2025 US study found 14% of EV owners visited a charger and left without charging. Spending to send new drivers into that experience buys you churn at full price.

The win-back move deserves more attention than its share suggests. Operators describe EV drivers as fickle, so a plain apology after a failed session, plus a nudge to lapsed users once the site works again, recovers sessions for close to nothing. Very few teams run it as a process.

Resident-engagement work on foot comes up from operators running kerbside estates, where the driver has no driveway and no alternative. With on-street charger numbers growing 18% year on year through H1 2026 according to Zapmap, more operators will need this muscle than currently have it.

Physical site & visibility

The smallest category by share, at roughly one mention in eight, and the one with the cheapest wins in it.

Remedy

Share of operators

When it fits

Check it worked

Signage and wayfinding

35%

Healthy site that drivers cannot find

Session uplift; first-time-user share

Dedicated EV bay plus anti-blocking enforcement

20%

ICEing, bay blocking, overnight squatters

Availability percentage; share of long blockers

Site visit or manual inspection

20%

Unexplained drop with a suspected silent fault

Faults found and fixed, logged against the cost of the visit

Vinyl wrap or on-charger branding

10%

Low visibility in a large car park

Sessions and new users after the wrap

Site visits find real problems. Teams that drive their estates turn up payment screens bleached by sunlight, losing customers with nobody any the wiser. But a person walking a large estate is the most expensive diagnostic tool you own. Keep it rare, send it with a hypothesis, and log what each visit cost against what it found. Some operators are piloting crowdsourced field checks as a cheaper way to get eyes across an estate.

Technical / uptime & faults

Roughly one mention in five, and the category where the cheapest remedies live.

Remedy

Share of operators

When it fits

Check it worked

Triggered remediation workflow with a verify step

35%

Any confirmed issue that has a defined response

Share of issues resolved without human handling; post-action utilisation

Remote reset, reactive and preventive

20%

Status faults, or a known quirk on that charger type

Fault recurrence rate; first-time success percentage

Hardware repair: water ingress, drainage, screens, comms

20%

Physical faults after storms or sun exposure

Uptime; contactless payment share

Escalate to the DNO, CPMS or charger vendor

20%

Root cause outside your control, such as grid overvoltage tripping units

Trip incidents; time to resolution

Firmware selection by charger type

10%

A hardware type where versions fail at different rates

First-time success by firmware version

Crowdsourced field checks

10%

Cheap eyes across a large estate

Cost per verified issue against manual visits

This category has changed status. It used to be a margin question. Since the Public Charge Point Regulations came into force, a rapid network has to hit 99% reliability as an annual average, reported to the Secretary of State. One secondary source cites a 2025 Monta survey of over 200 UK operator decision-makers finding fewer than 4% already meeting it. Worth verifying at source, but the direction is clear enough: technical remedies now defend a compliance number as well as a margin number.

Strong teams resolve most of this without leaving the office. A remote reset the moment a status fault appears. A restart scheduled around a known quirk for that hardware type. An engineer only once the fault is confirmed physical. And when the cause belongs to someone else, they route the ticket to the DNO or the manufacturer instead of burning their own hours on it.

Firmware selection is the most underused item on this list. A few teams use a third-party service that tells them which firmware version performs best for a given charger type, then deploy accordingly. Most operators run whatever shipped.

Portfolio / strategic

Roughly one mention in five, and the category that decides whether any of the others compound.

Remedy

Share of operators

When it fits

Check it worked

Feed what you learn back into site selection

55%

A repeating pattern explains your good and bad sites

Forecast accuracy against actuals on the next deployments

Decommission or divest chronic losers

20%

Still weak after every reasonable fix

Portfolio margin; return on the freed capex

Set utilisation targets and rank the outliers

20%

Always, as the cadence that starts everything else

Number of outliers actioned; movement against target

Relocate the charger

10%

Wrong location, permanent obstruction, contract permitting

Utilisation at the new site against the old

Switch off temporarily, with a reminder to switch back on

10%

Known disruption such as streetworks

Avoided dead-charger losses; on-time reactivation

The most valuable item here is the one operators mention most and formalise least. What you learn fixing one site should decide where you build the next. A rival's strong site nearby is either a signal to follow or a reason to stay away, and the answer sits in your own recovery data.

Operators running large mixed estates put the harder version plainly: at some point you stop spending on locations that will never pay back, and you move that capex to the ones that will.

Run it as a loop, not a rescue

Every strong operator describes some version of the same cycle.

  1. A site slips. An alert flags it.

  2. You diagnose the cause.

  3. You pick the remedy that will most likely fix the cause.

  4. You do it.

  5. You go back and check whether utilisation recovered.

  6. You analyse, learn, and capture the lesson for next time.

Step five is the one a lot of CPOs skip. Skip it and you never learn which lever works on which kind of site, so next quarter you guess again. Teams that formalise it name the stages: alert, diagnose, plan, in progress, verify. The last stage is where the compounding happens.

A cadence that holds this together, from the operators who run it best:

  • Weekly: rank sites by the gap against what they should do. Work the top of the list.

  • Monthly: review the fixes currently running. Did the number move?

  • Quarterly: count which causes dominated your estate, and update your playbook accordingly.

Where the manual version stops working

Scale breaks this. Plenty of European operators now run estates well past a thousand chargers.

You cannot rank a thousand sites by hand every week. You cannot hold the likely cause of each weak one in your head. And you certainly cannot recall, six weeks later, whether the tariff change at site 412 moved the number or whether the season did.

So the loop degrades into a rescue. Whoever shouts loudest gets attention, the same three sites get fixed twice, and the verify step disappears. Operators with large estates describe some version of this without being asked.

What we built

Dodona Network Optimisation exists for this job.

It ranks every site in your estate by the gap between what it pulls and what it should pull, so you open Monday with a list instead of a hunch. For each weak site, it names the likely cause, whether that is demand, price, a fault or placement, so you know which bucket you are in before you spend. Where it can, it triggers the remedy itself, such as a remote reset off a known fault, then writes the outcome back so you can see whether the action moved the number.

Diagnose, act, verify. Across a thousand chargers, without anyone babysitting the list.

We are opening a beta to a small group of operators, and several networks are already in. Bring your five worst sites, or your own data if you are up for it, and we will rank them live in about ten minutes. Reply to this, and we will find a slot.

Sources

  • Zapmap and Green Finance Institute, UK charge point utilisation report, 2026

  • Zapmap Price Index, July 2026, and UK charging infrastructure statistics, H1 2026

  • J.D. Power, US Electric Vehicle Experience Public Charging Study, 2025

  • The Public Charge Point Regulations 2023, regulation 7

  • Monta UK charge point operator survey, 2025

Get in Touch

128 City Road, London, EC1V 2NX

370 Jay St, 7th Floor, New York, 11201

Dunajska cesta 5, 1000, Ljubljana

© Dodona Analytics Ltd