GTM Atlas — Activation is more than activity¶

Author: James Pastan, Head of Growth at Framer
Source: atlas.attio.com/activation-is-more-than-activity
Date: May 6, 2026

Who is James Pastan¶

Head of Growth at Framer. Previously co-founded and exited an a16z-backed prosumer AI music company and led the growth monetization cohort for MongoDB Atlas.

Core Thesis¶

Activation is the chain from sign-up to the first meaningful outcome, which should correlate to a downstream business metric. If finding success in your product doesn't mean they pay you, you don't really have a business.

Setup, aha moment, and habit aren't the same thing:
- Setup enables the aha moment
- Aha is the moment of value
- Habit is what makes activation real

More users taking the key action only matters if those users come back. A single successful session is not enough for creative tools like Framer — you have to retain them.

Key Frameworks¶

The Activation Metric¶

At Framer: "publishing an active site." It'd be easy to make it "site publishing," but that overlooks crucial context. Zero edits before publishing isn't activation. Publish, never come back, nobody visits — did we actually activate you?

It's both a science and an art. The best activation metrics are simple, but take any activation metric too literally and you end up defining negative product pathways.

AI Voyeurism — The New Activation Trap¶

AI is muddying the activation funnel because of AI voyeurism: users acquired because of their curiosity about a new AI-native experience. They type something into a box and watch the model build it, but they don't have product intent — they're there to see what the hype is.

Three dimensions:
1. Voyeurism can be its own aha — "Wow, I can't believe I typed this and got that." But that aha is on the model, not the product. You want an AI aha coupled with a specific product outcome.
2. Prompt boxes minimize time-to-value and massively increase landing-to-signup conversion rate, but frictionless experiences can be a trap. Do users even know what they're doing on your website separate from typing in the box? Are they giving you the information you need (setup!) to make the aha moment about the product and not the AI?
3. There's an acquisition upside. Some percentage of people coming to try AI-native products do end up converting, staying, and finding value. But separating intent for the AI from intent for the underlying service is a data problem most teams aren't disciplined about yet.

Segmentation Is a Business Question¶

Whether or not you address segments is not an analytics question — it's a business question.

For prosumer tools where the ICP has real skill in a workflow (Framer's most successful users are skilled in Figma, Adobe, Photoshop), AI is amazing when it facilitates that. It's bad when it takes control away.

Ruthlessly prioritize whichever segment is more important to your business. From there, extend outward.

Fix the Leaky Bucket Before the Drip Campaign¶

The most under-worked audience you own: people who came to your application, profiled as a good fit, but never came back. Talk about an intent signal! They signed up and came for an outcome — they just didn't get there.

Tactics: bottom-of-funnel ads pushing specific use cases or tutorial content, drip campaigns contextual to why people came to you.

But think critically about where to spend energy. If you're crippled by AI voyeurism, focus on product instead of email sequence. If your habit is amazing but few people come to your site, focus on world-building. Put all your energy into crafting unique experiences that bring brand, character, and life into the upfront experience.

content-machine — content production that supports activation journeys
app-factory — activation patterns from app factory production