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Use dated US industry benchmarks without confusing inquiries, qualified leads and customers. See how channel, cost scope, sales timing and weighting change a cost per lead comparison, with a worked example from supplied campaign data.
Average cost per lead by industry depends on what the source counts as a lead, where the ads ran and which costs were included. There is no single figure that fairly sets budgets for every US advertiser. Start with a dated reference that resembles your campaigns, then test your own lead quality and conversion.
Cost per lead = Included campaign spending / Included leads
The formula is simple; its scope determines whether two results can be compared. Spending might mean media charges alone or media plus agency and creative costs. A lead might be a form submission, a unique valid inquiry, an accepted sales prospect or a booked appointment.
Those are different units. The cost per lead formula explains the campaign calculation; an industry benchmark adds a comparison group, not a substitute definition. A healthcare inquiry and a commercial equipment prospect can have different purchase values and time to sale even when both are called leads.
Use the benchmark for a question it can answer: is this campaign unusual enough to investigate? Use your own conversion and customer economics to decide whether the spending earns an acceptable return.
The following published search advertising references illustrate why the footnotes belong next to the numbers. They are selected examples, not a complete industry ranking or an average of all US advertisers.
| Published segment | Median CPL (USD) | US campaign observation period | Source update |
|---|---|---|---|
| General new vehicle dealers | 35.87 | April 1, 2025-June 30, 2026 | September 29, 2026 |
| General used vehicle dealers | 59.74 | April 1, 2025-June 30, 2026 | September 29, 2026 |
| General dentistry | 84.77 | October 1, 2024-September 30, 2025 | January 13, 2026 |
| Physical therapy | 32.79 | October 1, 2024-September 30, 2025 | January 13, 2026 |
The dealer figures come from LocaliQ's automotive report, covering 1,983 US search campaigns. The healthcare figures come from its healthcare report, covering 3,542 US search campaigns. Both describe their averages as medians and cover Google Ads and Microsoft Ads.
The observation periods differ. The reported CPLs do not establish a common sales qualification standard. Preserve those limits rather than calculating an overall average from the table. It would mix different time windows and customer journeys without their underlying spend and lead volumes.
Consumer advertisers should also read the B2C cost per lead comparison; software businesses need the separate SaaS cost per lead discussion. Each requires a more specific comparison group than a broad industry label.
Create one campaign summary per channel, business segment and acquisition period. Preserve the underlying spending and CRM rows, rather than copying only the displayed ratios. Your comparison file should contain:
| Field | Why it matters |
|---|---|
| Campaign ID and channel | Keeps the source and attribution rule identifiable |
| Acquisition period and observation date | Separates lead creation from later sales outcomes |
| Geography and segment | Distinguishes markets and offers with different economics |
| USD spend and cost scope | Keeps media-only and broader marketing costs separate |
| Valid unique inquiries | Removes agreed duplicates and invalid contacts consistently |
| Qualified leads and qualification rule | Makes the accepted sales stage explicit |
| Attributed new customers | Connects the cohort to completed outcomes |
| Benchmark source, period and statistic | Retains the evidence needed to judge comparability |
A platform conversion count is not automatically a count of unique people. Google Ads documents counting options for one or every conversion after an interaction. Check the relevant settings, then reconcile those events to your CRM definition before comparing them with a publisher's CPL.
For supplied peer data, request the same fields and definitions. If a peer cannot explain its denominator or cost scope, retain its figure as unverified context. Do not fold it into a precise target.
An illustrative US marketing group supplies these September 2026 campaign totals. Every row uses media spending, unique valid inquiries and the same accepted-lead checklist. Qualification is observed through October 20, 2026. These are constructed business examples, not published industry averages.
| Supplied segment | Media spend (USD) | Valid inquiries | Qualified leads |
|---|---|---|---|
| Consumer services A | 6,000 | 150 | 60 |
| Business services B | 9,000 | 100 | 50 |
| Consumer services C | 5,000 | 250 | 50 |
| Total | 20,000 | 500 | 160 |
Calculate the ratios from those columns. Dollar amounts are rounded to cents; percentages are shown to one decimal place.
| Segment | CPL (USD) | Qualified share of inquiries | Cost per qualified lead (USD) |
|---|---|---|---|
| A | 40.00 | 40.0% | 100.00 |
| B | 90.00 | 50.0% | 180.00 |
| C | 20.00 | 20.0% | 100.00 |
| Total | 40.00 | 32.0% | 125.00 |
Segment A's CPL is 6,000 / 150 = $40.00 and its qualified-lead cost is 6,000 / 60 = $100.00. Segment C has lower CPL, 5,000 / 250 = $20.00, but the same qualified-lead cost, 5,000 / 50 = $100.00. The lower inquiry price is offset by a lower accepted share.
Segment B costs more at both stages. That alone does not prove its budget should shrink: the example has no completed revenue or contribution data. Compare its outcomes after the appropriate sales cycle before making that decision. The industry acquisition cost comparison covers a later conversion measure.
First reconcile the inputs: 6,000 + 9,000 + 5,000 = $20,000 of media spending; 150 + 100 + 250 = 500 inquiries; 60 + 50 + 50 = 160 qualified leads. Check spending against the campaign exports and accepted leads against the dated CRM snapshot.
Combined CPL is 20,000 / 500 = $40.00. Combined cost per qualified lead is 20,000 / 160 = $125.00. The qualified share is 160 / 500 = 32.0%, so $40.00 / 32.0% = $125.00 provides a second check.
The simple mean of segment CPLs is (40 + 90 + 20) / 3 = $50.00. It overstates this portfolio's actual spending per inquiry because it assigns equal weight to segments with different inquiry counts. A publisher's campaign median is another statistic again; do not label your ratio of totals as the same measure.
Marketing operations owns channel labels and lead counts. Sales operations owns acceptance criteria and stage timing. Finance checks cost scope and reconciles the spending. Together they should approve the comparison group before management interprets its ranking.
Covirage is not affiliated with LocaliQ, Google or Microsoft.
Bring a sample of your own campaign, CRM and supplied peer files to Covirage, including the benchmark definitions you used. Covirage maps the columns, its tools compute and check the comparisons, and the external AI model explains the results with every figure traced to its rows. Create a free Covirage account and set up your business to begin with your own data.
You can use the figures for context, but they do not rank marketing performance fairly. Industries differ in purchase value, lead intent, qualification and sales timing. Match the channel and denominator first, then compare spending against your own downstream outcomes.
No. An arithmetic mean adds observations and divides by their count; a median is the middle observation after sorting. Some reports label medians as averages. Read the methodology and preserve the publisher's statistic when presenting a benchmark.
For your combined business result, divide total included spending by total included leads. A simple average of campaign CPL gives small and large campaigns equal weight. It answers a different question from the cost of generating the combined lead volume.
Treat it as an inquiry-level reference unless its methodology says otherwise. Do not relabel it as a qualified-lead benchmark. Keep your own qualification criteria explicit and calculate a separate spending-per-qualified-lead measure from your CRM records.