There is no verified set of 50 current lead generation statistics from original studies that we can stand behind. The sources we could check support a short list of 2026 figures from HubSpot and Gartner. Those figures describe what marketers report and how specific B2B buyers behaved in specific surveys. They are not conversion rates, cost-per-lead targets, or performance standards you can measure your program against. This article gives each figure with its owner, date, and population, then explains how to decide whether any of them is a fair comparison for your funnel.
The figures the sources support
The table below lists every 2026 lead generation figure we could attribute to a named publisher. Read the last two columns before you quote any number.
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| Figure | Publisher and report | Respondents and field dates | What it measures |
|---|---|---|---|
| 77% of marketers rated lead quality high or very high | HubSpot, State of Marketing Report 2026 | Marketers surveyed for that report; field dates and sample size not stated in the material we reviewed | Respondents’ own perception of lead quality |
| 30% named lead generation as one of their top challenges | HubSpot, State of Marketing Report 2026 | Same report; field dates and sample size not stated in the material we reviewed | Respondents’ stated priority, not a measured result |
| 69% of B2B buyers preferred to validate AI-generated insights with sales representatives | Gartner, 2026 release reporting a survey fielded in 2025 | 645 B2B buyers, fielded August–September 2025 | Buyer preference reported in that survey |
| Buyers used an average of seven information sources during a recent purchase | Gartner, 2026 release reporting a survey fielded in 2025 | 645 B2B buyers, fielded August–September 2025 | Self-reported count of sources used in a recent purchase |
| 45% of B2B buyers said they used GenAI, primarily to gather vendor and product information | Gartner, 2026 release reporting a survey fielded in 2025 | 645 B2B buyers, fielded August–September 2025 | Self-reported GenAI use by buyers in that survey |
Each of these figures answers a narrow question about one group at one time. None of them tells you what your cost per lead should be, what share of leads should convert, or whether your lead volume is adequate.
What marketers say they prioritize
HubSpot’s State of Marketing Report 2026 lists the metrics marketers named as most important. The five leading items, with the percentages HubSpot reports for each, are:
#1 Best Overall
- Lead quality or marketing-qualified leads (MQLs): 39%
- Lead-to-customer conversion: 34%
- Return on investment (ROI): 31%
- Customer acquisition cost: 30%
- Lead volume: 29%
The same report found that 77% of marketers rated lead quality high or very high, and that 30% still named lead generation as a top challenge. Those are two different questions. A majority can feel good about lead quality while a third still struggle to generate leads, and neither result says how many leads any marketer actually produced or converted.
HubSpot’s statistics page presents its own report findings. The material we reviewed did not include the full methodology, so treat these as HubSpot’s summary of its survey rather than an independently verified dataset.
Rank #2
How B2B buyers are researching vendors
Gartner’s 2026 release reports a survey of 645 B2B buyers, fielded in August and September 2025. It is the only source in this list that describes buyer behavior rather than marketer opinion, which makes it useful for planning how buyers reach your content, but it still reflects one survey population at one point in time.
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Gartner reports that 69% of these buyers preferred to validate AI-generated insights with a sales representative. For marketing teams, that points to a practical gap: buyers may use AI tools early, but they still expect a human check before they act. Gartner’s Robert Blaisdell, VP Analyst and Chief of Research in the Gartner Sales practice, put it this way:
“B2B buyers are more comfortable using digital channels and GenAI to navigate the purchase process on their own, but that does not eliminate the role of the seller.”
Buyers use several sources and AI tools
In the same survey, buyers reported using an average of seven information sources during a recent purchase. Forty-five percent said they used GenAI, mainly to gather information about vendors and products. Both figures are self-reported averages and shares from one survey. They do not show how many of those sources came from your own channels, so they cannot be used to estimate your share of buyer attention.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Why these numbers are not performance targets
A statistic is only comparable to your data when the survey and your program match on the same basic facts. Check these before you benchmark:
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- Business model: B2B and B2C funnels differ in deal size, buying committee, and sales cycle. Most figures above come from B2B respondents or buyers.
- Industry and company size: A survey of all marketers mixes enterprise and small-business programs. Check whether the sample is segmented.
- Geography: The HubSpot roundup we reviewed covered 900 management-level marketers in North America and Europe. Results may not hold elsewhere.
- Respondent type: Perception surveys report what marketers believe. Buyer surveys report what buyers did. Neither is a conversion measurement.
- Field dates: A 2025 buyer survey published in 2026 describes 2025 behavior. Check the date before comparing it to current campaigns.
- Channel and funnel stage: A figure about information sources is not a figure about form fills, and neither is a figure about closed revenue.
Definitions decide whether a comparison is valid
Cost per lead, conversion rate, and acquisition cost are only meaningful when the lead definition is the same on both sides. A 2026 industry report page notes that MQL definitions vary between organizations, and that stage conversion, sales acceptance, and cost per accepted lead are not consistently available in public sources. That means a published conversion figure may count a different event, at a different stage, with a different denominator, than the number in your dashboard. Before comparing, write down how your team defines a lead, an MQL, an accepted lead, an opportunity, and a customer, and confirm that the source uses the same terms.
How to use these figures in a benchmark
- Record your own definitions for lead, MQL, accepted lead, opportunity, and customer, along with the denominator for each rate.
- For each external figure, note the publisher, population, geography, field dates, and whether it measures perception or behavior.
- Reject any comparison where the business model, geography, or lead definition differs, or where the source does not state its definition.
- Use perception statistics, such as the 77% lead-quality rating, to frame internal questions, not to set targets.
- Use buyer-behavior statistics, such as the Gartner findings, to shape content and sales handoffs, and then test those assumptions against your own pipeline data.
- Where no comparable public figure exists, such as for stage conversion or cost per accepted lead, set a baseline from your own historical data and track change against that baseline.
Used this way, the figures above are useful context for planning. They are not a scorecard, and no single one of them tells you whether your lead generation is performing well.
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