GTM Strategy

Eney go-to-market workspace

Turn product understanding into testable marketing hypotheses.

Product foundation

Fact vs. hypothesis are separated

Product (fact)

Eney is MacPaw's proactive AI assistant that works alongside Mac workflows. Some processing may rely on cloud services; this concept makes no claim that all inference runs locally.

Positioning (hypothesis)

"Less context switching. More meaningful work."

Customer problem

Knowledge workers lose focus moving between apps, tabs, and information just to finish one task.

Differentiation hypothesis

The competition isn't only other AI tools. It's the friction of switching between tasks, apps, and information.

Acquisition strategy

Message-test three angles on Meta and YouTube with equal budget; judge on activated trials, not clicks.

Activation strategy

Guide new users to one meaningful task in the first session with contextual onboarding.

Retention strategy

Weekly 'time saved' recap and new workflow suggestions based on usage.

Measurement framework

North-star: first_meaningful_task → paid. Guardrails: CAC vs. target, refund rate, D30 retention. Evaluate on cohort, not last-click alone.

Target segments / ICP

Recommended channels

  • Meta — Efficient reach for broad knowledge-worker and creator audiences; good for message testing.
  • YouTube — Proactive behaviour is easier to show than to tell — short demos carry the value.
  • LinkedIn — Precise targeting of founders and knowledge workers; higher CPM, test small.

Compare positioning angles

No angle is declared a winner here. The proposed experiment compares all three on downstream activation, not clicks.

Plan inputs

Demo AI · template-based