A fast charger is barely used: find where prospective customers drop out

Passing traffic is not the same as charging demand

A saved Reddit operator described opening a dual-port DC charging site near busy businesses and a highway, then receiving very few paid sessions. The account is a useful warning about assumptions, not a benchmark for revenue or installation cost. Passing traffic is not the same as charging demand. Drivers must need energy at that location, know the station exists, trust that it works, and accept the price and access conditions.

Source: Looking for tips for increasing utilization at my DCFC station

Choose one customer group to investigate

Start with the users the site was intended to serve: highway travelers, local residents without home charging, rideshare drivers or a contracted fleet. Record why they would need energy here, at what hours, and why they would choose this location over alternatives. DOE recommends matching infrastructure to its intended use. A nearby restaurant can attract visitors whose dwell time fits slower destination charging; that does not establish demand for a short, higher-priced fast-charging stop.

Ask actual visitors a few voluntary questions without collecting unnecessary personal information: how they found the site, whether they intended to charge, whether the entrance and price were clear, and what stopped them. Keep the number of observations and the observation period visible. Ten conversations can identify a defect worth investigating; they cannot establish a reliable market-size estimate.

Source: Alternative Fuels Data Center: Procurement and Installation for Electric Vehicle Charging Infrastructure

The same low session count can have different causes

Illustrative scenario: two sites each complete four sessions in an observation period. At the first, four drivers arrive and all charge. At the second, twenty arrive but sixteen leave without charging. The first site needs a demand and discoverability investigation. The second needs an access, price, payment or reliability investigation. These constructed counts illustrate a diagnostic distinction, not a utilization benchmark.

Do not infer arrivals from total parking-lot traffic. Observe the charging spaces at the hours the intended users travel and reconcile observations with privacy-respecting, aggregate network records. Mark outages and closed hours so a quiet period is not mistakenly classified as absent demand.

Separate discovery, arrival and successful starts

Check that maps and charging directories agree on entrance location, hours, connector types, maximum capabilities, pricing and current availability. Verify the entrance from each relevant travel direction. A listing can be accurate at the street address yet direct a driver to a locked entrance on the wrong side of the property.

Compare arrival observations with authorization attempts and completed charging sessions. Many attempts with few completed sessions suggest a different issue from few attempts overall. Ask the network to explain which events it records and which failed interactions it cannot see. A driver who cannot read a screen or start the payment process may leave no transaction record at all.

Walk the customer’s actual route

Validate the physical customer journey. Can a driver find the entrance, see the price, reach the connector, pay without excessive friction, and access the promised amenities? Are the hours correct across maps and network listings? Does a trailer or larger vehicle fit without blocking circulation? Interview likely users or potential fleet partners about actual routes and charging needs. A vague expression of interest is weaker evidence than a defined operating requirement or agreement.

Change one suspected barrier and measure the result

Set a bounded observation period that includes the important hours and days for the selected customer group. Record successful sessions, failed starts, relevant complaints, closures and major external changes. There is no universal number of weeks that proves demand; the period must reflect the use case and disclose seasonal limitations.

If the entrance is the suspected barrier, correct directions and signage before buying another cabinet. If drivers arrive and reject an unexpected fee, make the complete price easier to understand and evaluate competitiveness separately. If starts fail, resolve the fault before promotion brings more users into the same failure. Avoid changing price, signs and advertising at once if the aim is to learn which intervention worked.

Compare the same measures after the change and look for repeat use, using aggregate data already lawfully available to the operator. More successful starts with the same arrivals supports an operational explanation. Accurate listings and reliable charging with persistently few relevant arrivals point back to the location or customer hypothesis. Record what would justify another trial, a smaller operating scale or stopping further investment. Use the separate DC fast charging operating-cost guide for tariff and recurring-cost modeling; this review tests whether the expected customers reach and use the site.

Decide whether the next investment addresses the evidence

Prepare a short decision record with the original demand assumption, observed failure point, correction, result and remaining uncertainty. A fleet partner’s defined routes and energy needs are stronger evidence than general enthusiasm. If the original customer group does not materialize, evaluate another use case before expanding equipment. Keep financial loss limits in the business plan, but do not confuse a cost-model adjustment with proof of customer demand.

Put it into practice

A decision table to keep handy