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B2B Demand Generation Metrics: The KPIs Every Demand Gen Team Should Track

June 27, 2026 · 5 min read

B2B demand generation metrics measure the effectiveness of the demand gen function across the full funnel: from top-of-funnel awareness and lead generation to mid-funnel pipeline contribution to bottom-of-funnel revenue attribution. The best demand gen teams operate as a revenue function, not a cost centre -- they can demonstrate a clear link between their programme investments and the pipeline and revenue they generate. Building a demand gen metrics framework requires choosing the right metrics at each funnel stage, setting credible benchmarks, and building a reporting infrastructure that ties marketing activity data to CRM pipeline and closed revenue.

Top-of-funnel demand gen metrics

  • MQLs (Marketing Qualified Leads): the number of leads that meet the defined MQL criteria (typically a combination of ICP firmographic fit and engagement score threshold). MQL volume and MQL quality (what percentage of MQLs convert to SQLs) are the primary top-of-funnel productivity metrics.
  • Cost per MQL: total demand gen spend / number of MQLs generated. Tracks the efficiency of lead generation spend across channels. Segment by channel (cost per MQL from content vs paid search vs events) to identify the most efficient lead generation channels.
  • Lead source attribution: what percentage of MQLs come from each channel (organic search, paid search, LinkedIn Ads, events, content downloads, referrals). Channel attribution identifies which programmes are generating leads and informs budget allocation decisions.
  • Website traffic and engagement: session volume, bounce rate, time on site, and pages per session as leading indicators of top-of-funnel demand. Organic traffic growth (especially to bottom-of-funnel pages like case studies, pricing, and competitor comparison pages) is a strong predictor of inbound lead volume.

Mid-funnel demand gen metrics

  • MQL-to-SQL conversion rate: the percentage of MQLs that are accepted by sales as a Sales Qualified Lead. Low MQL-to-SQL rates indicate either poor lead quality (the ICP fit criteria are too loose) or a sales-marketing alignment issue (sales and marketing disagree on what a qualified lead looks like).
  • Marketing-sourced pipeline: the total ARR value of opportunities in the pipeline where marketing was credited as the source of the lead. Marketing-sourced pipeline is the primary mid-funnel accountability metric for demand gen.
  • Marketing-influenced pipeline: the total ARR value of opportunities where marketing touched the prospect at some point in the buying journey, even if the opportunity was sourced by sales. Influenced pipeline is a broader measure of marketing's contribution to pipeline.
  • Pipeline coverage ratio contribution: what percentage of the sales team's total pipeline target is covered by marketing-sourced or influenced opportunities.

Revenue attribution metrics

  • Marketing-sourced revenue: the closed-won ARR attributed to opportunities where marketing was the original source. This is the ultimate measure of demand gen ROI.
  • Return on marketing investment (ROMI): marketing-sourced revenue / total demand gen spend. A ROMI of 5x means every 1 lakh of demand gen spend generates 5 lakh in closed revenue.
  • Sales cycle length by source: do marketing-sourced leads close faster or slower than sales-sourced leads? Inbound leads from organic SEO often have shorter sales cycles than cold outbound leads because the buyer has already completed significant research.
  • Campaign ROI by programme: for specific campaigns (events, webinars, paid campaigns), track the pipeline generated and revenue closed attributed to each investment to identify the highest-ROI programme types.

Frequently asked questions

What are the most important B2B demand generation metrics?
The most important B2B demand generation metrics, organised by funnel stage: Top-of-funnel: MQL volume (total marketing qualified leads generated per period); cost per MQL (efficiency of lead generation spend); MQL-to-SQL conversion rate (quality of leads generated); lead source breakdown (which channels are generating MQLs and at what cost). Mid-funnel: marketing-sourced pipeline (total ARR value of pipeline opportunities sourced by marketing); marketing-influenced pipeline (opportunities marketing touched at any point in the buying journey); pipeline coverage contribution (what percentage of the sales team's pipeline came from marketing). Bottom-of-funnel: marketing-sourced revenue (closed-won ARR attributed to marketing-sourced leads); return on marketing investment (marketing-sourced revenue divided by demand gen spend). The most important of these is marketing-sourced pipeline, because it is the leading indicator that most directly predicts marketing-sourced revenue and is available earlier in the quarter than revenue outcomes.
What is a good MQL-to-SQL conversion rate for B2B?
B2B MQL-to-SQL conversion rate benchmarks vary by industry, ICP size, and how strictly the MQL criteria are defined: Broadly benchmarked across B2B: 10-20% MQL-to-SQL conversion is typical. Below 10% indicates poor lead quality (MQL criteria too loose), sales-marketing misalignment on what constitutes a qualified lead, or a sales team that is under-responsive to marketing leads. 20-30% is strong; above 30% typically indicates either very strict MQL criteria (only the highest-intent leads are counted as MQLs) or exceptional lead quality from a narrowly focused ICP programme. For enterprise-focused B2B companies (selling to large enterprises, long sales cycles): MQL-to-SQL rates are often lower (5-15%) because enterprise deals require multiple touches across multiple stakeholders before they formally qualify as an SQL; the MQL-to-SQL gap is wider but deal size is much larger. For SMB-focused products: MQL-to-SQL rates can be higher (20-40%) when the buying process is shorter and individual buyer decisions are simpler.
How do you calculate marketing-sourced pipeline for B2B demand gen?
To calculate marketing-sourced pipeline for B2B demand gen: (1) Define "marketing-sourced": typically means the original lead source for the opportunity was a marketing-generated touchpoint (inbound form fill, content download, webinar registration, event attendance, PPC click that led to a form fill). This is distinct from "sales-sourced" (SDR cold outreach, AE prospecting, partner referral) and "marketing-influenced" (the opportunity was sales-sourced but marketing touched the prospect at some point). (2) Ensure lead source data is captured in your CRM: every opportunity in the CRM should have a lead source field that is populated at the time the lead is created and preserved through the opportunity creation. The most common failure point is lead source data that is not captured consistently or is overwritten as the opportunity progresses. (3) Filter the opportunity pipeline by lead source = "marketing": sum the ARR (or deal value) of all open opportunities where the original source is a marketing channel. Segment by creation date (pipeline created this quarter vs total pipeline) and by stage (pipeline in early vs late stages). (4) Calculate pipeline ROI: divide marketing-sourced pipeline by the demand gen budget that generated it to get pipeline ROI. A ratio of 5-10x (5-10 of pipeline for every 1 of spend) is typically considered healthy for B2B demand gen.

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