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Atlassian Marketer Proposes 'Content Velocity' as the AI-Era Measure of Marketing Impact

Atlassian Marketer Proposes 'Content Velocity' as the AI-Era Measure of Marketing Impact

🌐 This article is also available in Spanish.

Original source: Paramark
This article is an editorial summary and interpretation of that content. The ideas belong to the original authors; the selection and writing are by Streamed.News.


This video from Paramark covered a lot of ground. 2 segments stood out as worth your time. Everything below links directly to the timestamp in the original video.

If your team is about to invest in AI content tools for 2025, the question worth asking first is whether the content you already produce is actually being used.


Atlassian Marketer Proposes 'Content Velocity' as the AI-Era Measure of Marketing Impact

With AI tools making it trivially easy to flood channels with content, Atlassian's Ashley Faus argues the critical planning question for 2025 is not how much content a team produces but whether that content moves in the right direction — a metric she calls content velocity. The framework asks whether internal stakeholders actually deploy the assets that get created, and whether those campaigns connect format, channel, audience, and spend in ways that drive measurable outcomes rather than impressions.

The framing offers a practical counter to the AI content arms race: volume without direction is just noise, and teams that establish quality baselines now will be better positioned to run meaningful experiments as they scale.

"Velocity is actually speed in the right direction, not just pure speed."

▶ Watch this segment — 26:31


Atlassian's Faus Argues That Unmeasurable Marketing Activities Still Deserve Budget

Ashley Faus pushes back on the marketing industry's drift toward pure data-driven measurement, arguing instead for what she calls a data-informed approach — one that collects metrics rigorously but resists reducing every decision to what is easy to track at scale. She uses her own podcast appearance as a concrete example: by strict attribution logic, talking about Atlassian's products to a marketing audience generates no value for the developer-marketing team she formally belongs to, yet the conversation plainly produces brand benefit that simply never appears in a dashboard.

The argument matters because the easiest activities to measure — paid ads with trackable clicks — are often not the most effective, and over-indexing on dashboards quietly defunds the human connections that build lasting brand trust.

"This idea that if it is not easily tracked at scale means you should not do it — clearly that is not the right way to approach all of your marketing programs."

▶ Watch this segment — 33:46


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Summarised from Paramark · 42:18. All credit belongs to the original creators. Streamed.News summarises publicly available video content.

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