Demand Generation

Demand generation is the work of creating awareness and buying intent for a product before a sales rep ever picks up the phone. It spans paid ads, content, events, webinars, SEO, and outbound prospecting — anything that turns a stranger into someone who knows you exist and might have a problem you solve. The output is pipeline: qualified opportunities the sales team can convert. Demand gen is the front of the revenue engine, and when it stalls, every number behind it stalls two quarters later.

How Demand Generation Is Measured

Demand gen lives and dies by a chain of conversion metrics, not a single number. The standard chain runs: impressions to clicks, clicks to leads, leads to MQLs, MQLs to sales-accepted leads, and SALs to closed revenue. Each handoff has a conversion rate, and the product of all of them is your true cost of demand. Teams also track sourced pipeline — total dollar value of opportunities attributed to demand gen — and lead velocity rate, the month-over-month growth in qualified leads, which predicts revenue better than this month's bookings do.

A Worked Example of the Demand Funnel

Take a quarter that starts with 100,000 ad impressions and a $50,000 spend:

Three deals at a $40,000 average lands $120,000 in bookings on $50,000 spent — a 2.4x return before you count sales salaries. Move the lead-to-MQL rate from 30% to 40% and you get four deals from the same spend, a $40,000 swing from one conversion point. That's why demand gen teams obsess over the weakest link in the chain rather than the top of it.

When Revenue Teams Use Demand Generation

Demand gen is owned by marketing but graded by sales, which is the source of most cross-functional friction in B2B. The VP of Marketing reports sourced pipeline as proof the budget works. The VP of Sales counts on that pipeline arriving qualified and on time to hit pipeline coverage. RevOps sits in the middle building the attribution model that decides which deals count as marketing-sourced versus sales-sourced — a definition worth millions in credit and budget. Founders read demand gen efficiency as the leading indicator of whether the company can grow without burning cash on every new dollar.

Common Demand Generation Gaming Patterns

The attribution layer is where the numbers get cooked. Marketing-sourced pipeline tagging is the oldest move: a deal the AE prospected cold gets re-tagged as marketing-sourced because the buyer once downloaded an ebook, and now two teams claim the same revenue. Lead-volume targets invite the opposite abuse — flooding the funnel with low-intent contacts to hit an MQL number, which pumps top-of-funnel metrics while the SAL conversion rate quietly craters. Sales feels it first: reps drown in junk leads and stop trusting marketing entirely.

The metric that gets least scrutiny is sourced pipeline, and it's the easiest to inflate. A demand gen team can report record pipeline by counting every loosely-qualified opportunity, the same way reps practice pipeline padding before a board meeting. The honest measure isn't pipeline created — it's pipeline that actually converts to revenue, traced through the full chain. Volume at the top means nothing if it dies at the SAL handoff. Demand gen tells you how many people raised a hand. It does not tell you how many of them were ever going to buy, and the gap between those two numbers is where most marketing budgets quietly disappear.