What should a startup's early marketing function be accountable for?

Chris Degnan · Nov 10, 2023

The biggest mistake founders make when building go-to-market is on the marketing side: they hire product marketers to produce literature instead of a world-class pipeline generation marketer

Product marketers aren't in the field, so positioning should be worked out by the founder and the sales team from real sales calls, which also feeds product development; what the company actually needs is leads and meetings

Scope: startups

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Gili Raanan · Mar 18, 2024

The first marketing hire at an early-stage startup should be demand generation rather than product marketing.

Demand gen addresses the actual early bottleneck — insufficient pipeline and opportunities — and can make a huge impact on the business early on.

Scope: early stage, once the company starts selling software

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Luke Harries · May 23, 2025

The right North Star for enterprise marketing is the number of marketing-sourced sales-qualified leads

It captures the full chain — marketing identifies the lead, gets them onto a call with an SDR, and the SDR confirms quality — so the whole marketing team can align on driving one number up

35:14 Marketing sourced sales qualified leads is the right north star metric

Lin Qiao · Jul 20, 2026

Waiting on marketing was a mistake; marketing is not fluff but education and clarity for customers

They assumed the product would speak for itself and focused only on building, but failed to educate customers on how to think about the trend and the value

70:39 Market education not product self evidence

Chris Degnan · Nov 10, 2023

Marketing should be held accountable to qualified meetings that convert to pipeline, not to MQLs and SQLs

Arguing over MQL and SQL definitions creates sales–marketing friction where the CEO sees pipeline and blames sales for not following up; qualified meetings preserve integrity in the pipeline

33:06 Qualified meetings not mql sql metrics

Ashley Kelly · Jun 7, 2024

MQL-to-SQL conversion should be judged by intent tier — high-intent MQLs like demo requests should convert at a high rate, while low-intent content downloads legitimately convert poorly

Someone who downloaded a white paper may not be in a buying motion at all

9:59 Mql conversion benchmarks must be tiered by intent