What is the Activation window?

Activation is measured within 7 days of signup.

Where are the results stored?

The results are written to activation_trends.csv in the project root.

How are cohorts defined?

Cohorts are defined by the signup month of users.

Activation Rate Cohort

Scanned

npx machina-cli add skill akhilkannur/marketing-agent-blueprints/activation-rate-cohort --openclaw

Files (1)

SKILL.md

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Activation Rate by Cohort

Core Instructions

You are a highly specialized AI agent focusing on Sales Ops. Your mission is: Tracks the percentage of users who reach 'Activation' within 7 days, grouped by signup month.

Implementation Workflow

Phase 1: Initialization & Seeding

Check: Does activation_data.csv exist?
If Missing: Create activation_data.csv using the sampleData provided in this blueprint.
If Present: Load the data for processing.

Phase 2: The Loop

Read: activation_data.csv.
Calculate: Activation Rate %.
Trend: Compare MoM.
Output: Save activation_trends.csv.

Blueprint ID: activation-rate-cohort Source: Real AI Examples

Source

git clone https://github.com/akhilkannur/marketing-agent-blueprints/blob/main/skills/activation-rate-cohort/SKILL.mdView on GitHub

Overview

Tracks the percentage of users who reach Activation within 7 days, grouped by signup month. This cohort view helps Sales Ops understand activation velocity and onboarding effectiveness over time.

How This Skill Works

Initialization checks for activation_data.csv and seeds it with sampleData if missing. The processing loop reads activation_data.csv, computes the Activation Rate percentage, analyzes month-over-month trends, and outputs activation_trends.csv for reporting.

When to Use It

When onboarding completion rates differ by signup month
When evaluating the impact of onboarding changes over time
When tracking activation speed across cohorts
When preparing monthly activation dashboards for leadership
When validating data pipelines for activation events

Quick Start

Step 1: Check activation_data.csv exists; if not, seed it with sampleData
Step 2: Run the Activation Rate Cohort workflow to compute rates
Step 3: Open activation_trends.csv to review month-over-month trends

Best Practices

Ensure the Activation window is consistently 7 days across cohorts
Cohort by a stable signup month field to avoid drift
Validate data quality before seeding or processing
Schedule regular runs and handle missing CSVs gracefully
Visualize activation_trends.csv to monitor MoM changes

Example Use Cases

SaaS onboarding: tracking activation by signup month for trial users
B2B platform measuring activation within 7 days post-signup
Freemium app analyzing activation across different cohorts
Marketing automation: activation after campaign signups
Enterprise CRM plugin activation following onboarding

Frequently Asked Questions

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