The Cybersecurity Demand Generation Benchmark Report

Most demand-generation benchmarks a cybersecurity marketer can find are drawn from B2B in general, or from technology as a broad category. They are better than nothing, but they mislead in a specific way: cybersecurity does not behave like average B2B. The buying groups are larger, the cycles are longer, the buyers are more sceptical, and the cost of reaching senior security leaders is higher. A conversion rate that looks poor against a general B2B benchmark may be strong for cybersecurity, and a cost per lead that looks high may be entirely reasonable for this audience.

The purpose of this report is to give cybersecurity marketers a reference set drawn from cybersecurity campaigns specifically, so that they can judge their own programmes against the right comparison rather than a borrowed one. Benchmarks are a diagnostic tool, not a target. Their value is in showing you where your programme sits relative to the market, so you can find the stage that is underperforming and fix it, not in producing a single number to celebrate or mourn.

Three principles for using any benchmark honestly, and they apply to this one:

A benchmark is a range, not a target. Real performance varies with audience, offer, sector and execution. The useful question is not "am I above the average" but "which of my stages is out of line with the market, and why".

Comparability is everything. A benchmark is only meaningful if your metric is defined the same way. A "lead" and a "qualified opportunity" mean different things in different programmes. Read the definitions in this report before comparing your numbers to it.

Context beats the number. A high cost per opportunity in a programme targeting CISOs at large regulated enterprises is not the same result as the same figure in a programme targeting practitioners at small firms. Always read the benchmark against the audience it came from.

This section must be completed and shown openly. A benchmark with no visible methodology is not credible to a cybersecurity audience, which is trained to ask where a number came from.

• Sample:
• Period:
• Campaign types included:
• Audience: cybersecurity buyers only.
• Definitions: each metric below carries its definition.
• What is excluded:

The report is structured around the three stages of the demand-generation model, so a reader can find the benchmark for the stage they are diagnosing.

REACH benchmarks: getting content to the right buyers

These measure how efficiently a programme reaches and engages the target cybersecurity audience.

• Engagement rate on syndicated content: the share of a targeted audience that engages with a distributed asset. How to read it: a low rate usually points at targeting or offer, not the channel.
• Audience match rate: the share of delivered leads that genuinely fit the agreed account, role and seniority criteria. How to read it: this is the honesty check on a syndication programme. A high lead count with a low match rate is a warning, not a win.
• Cost per engaged contact: to be published from Clarovate campaign data. How to read it: expect this to run higher than general B2B because the audience is narrow and senior. Judge it against cybersecurity, not against a broad benchmark.

QUALIFY benchmarks: turning reach into real opportunities

These measure how efficiently engaged contacts become genuine, qualified opportunities.

• Engagement-to-qualified-opportunity rate: the share of engaged contacts that become a qualified opportunity under an agreed definition. How to read it: this is where follow-up quality and qualification rigour show up.
• Cost per qualified opportunity: to be published from Clarovate campaign data. How to read it: the most important efficiency number in the report, because it reflects the whole machine, not a single stage. Compare like-for-like on the qualification definition or the comparison is meaningless.
• Contactability of qualified opportunities: the share of qualified opportunities delivered with a direct dial or mobile number. Clarovate commitment: to be confirmed. How to read it: a qualified opportunity sales cannot reach is not really qualified. This metric guards against that.

CONVERT benchmarks: turning existing engagement into pipeline

These measure how efficiently engagement you already created, events, webinars, existing MQLs, becomes pipeline.

• Follow-up speed: median time to first meaningful touch on an engaged lead. How to read it: faster is better, and this is one of the most controllable numbers in the whole report.
• Engaged-lead-to-conversation rate: the share of followed-up engaged leads that become a real two-way conversation. How to read it: measures whether the follow-up motion is working, held separately from lead source quality.
• Pipeline recovered from existing engagement: to be published from Clarovate campaign data. How to read it: the value rescued from event, webinar and campaign engagement that would otherwise have decayed. This is the number that justifies the CONVERT motion.

To show how the benchmarks are meant to be used, here is an illustrative walk-through. The numbers below are invented for the purpose of explaining the method and must never be presented as real benchmarks. They exist only to show the shape of the analysis.

Illustrative only: suppose a programme reaches an engagement rate in line with the cybersecurity benchmark, so REACH is healthy, but its engagement-to-qualified-opportunity rate sits well below the benchmark. That pattern points the diagnosis squarely at the QUALIFY stage: the programme is reaching the right people but failing to convert that reach into real opportunities, which usually means the follow-up or the qualification is weak, not the targeting. The benchmark did its job by isolating the failing stage. The fix is in follow-up, not in buying more reach on top of a leaking middle. This is the entire purpose of a stage-by-stage benchmark: it tells you where to look.

Once populated, this report supports three planning decisions that cybersecurity marketers make constantly.

Setting realistic expectations. A cybersecurity cost per qualified opportunity anchored to real market data lets a marketer set a budget and a forecast that will survive contact with reality, rather than importing a general B2B assumption that quietly overpromises.

Diagnosing the weak stage. By comparing each stage against its benchmark, a marketer can see whether the problem is reach, qualification or conversion, and stop pouring budget into a stage that is already healthy while a different stage leaks.

Justifying the CONVERT motion. The pipeline-recovered benchmark, once real, is often the most persuasive number for a marketer arguing internally that following up existing engagement is worth resourcing, because it quantifies value that is currently being lost.

Every benchmark report should state its limits, and stating them openly increases rather than reduces credibility with this audience.

These benchmarks describe the campaigns in the sample. They are a guide, not a guarantee, and no report can promise that a given programme will match them. Definitions matter enormously, and a reader comparing a differently-defined metric will draw a wrong conclusion. And a benchmark is a snapshot of a period; the market moves, so the report should carry its date and be refreshed rather than cited indefinitely.

This report is a Clarovate proprietary asset, drawn from campaigns run across the cybersecurity market under the REACH, QUALIFY and CONVERT model. Its credibility rests entirely on the numbers being real and the methodology being visible, which is why it ships as a structure to be populated rather than a set of invented figures. Once populated with genuine data, it becomes a reference the whole market can use, and a demonstration that Clarovate understands cybersecurity demand generation from the inside. If you want to see where your own programme sits against these benchmarks, that is the natural next conversation.