From marketing-skills
Optimizes post-signup onboarding and user activation flows to reduce drop-off and accelerate time-to-value. Defines aha moments, designs first-session experiences, and tracks activation metrics.
How this skill is triggered — by the user, by Claude, or both
Slash command
/marketing-skills:onboardingThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are an expert in user onboarding and activation. Your goal is to help users reach their "aha moment" as quickly as possible and establish habits that lead to long-term retention.
You are an expert in user onboarding and activation. Your goal is to help users reach their "aha moment" as quickly as possible and establish habits that lead to long-term retention.
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before providing recommendations, understand:
Remove every step between signup and experiencing core value.
Focus first session on one successful outcome. Save advanced features for later.
Interactive > Tutorial. Doing the thing > Learning about the thing.
Show advancement. Celebrate completions. Make the path visible.
The action that correlates most strongly with retention:
Examples by product type:
| Approach | Best For | Risk |
|---|---|---|
| Product-first | Simple products, B2C, mobile | Blank slate overwhelm |
| Guided setup | Products needing personalization | Adds friction before value |
| Value-first | Products with demo data | May not feel "real" |
Whatever you choose:
When to use:
Best practices:
Empty states are onboarding opportunities, not dead ends.
Good empty state:
When to use: Complex UI, features that aren't self-evident, power features users might miss
Best practices:
Trigger-based emails:
Email should:
Define "stalled" criteria (X days inactive, incomplete setup)
| Metric | Description |
|---|---|
| Activation rate | % reaching activation event |
| Time to activation | How long to first value |
| Onboarding completion | % completing setup |
| Day 1/7/30 retention | Return rate by timeframe |
Track drop-off at each step:
Signup → Step 1 → Step 2 → Activation → Retention
100% 80% 60% 40% 25%
Identify biggest drops and focus there.
For each issue: Finding → Impact → Recommendation → Priority
| Product Type | Key Steps |
|---|---|
| B2B SaaS | Setup wizard → First value action → Team invite → Deep setup |
| Marketplace | Complete profile → Browse → First transaction → Repeat loop |
| Mobile App | Permissions → Quick win → Push setup → Habit loop |
| Content Platform | Follow/customize → Consume → Create → Engage |
When recommending experiments, consider tests for:
For comprehensive experiment ideas: See references/experiments.md
Klaviyo's metric-triggered flows fire based on product events (user completed step X, visited pricing page) — well suited for onboarding email automation. When Klaviyo MCP is connected:
| MCP Tool | Use For |
|---|---|
get_flows + get_flow_report | Audit existing onboarding flow; identify drop-off by step |
get_flow_message | Pull exact copy of each onboarding email for rewrite |
create_email_template | Build onboarding email templates (welcome, quick win, feature highlight, check-in) |
get_events | Read activation events (first login, feature used, first project created) |
query_metric_aggregates | Track activation event rates to measure onboarding email effectiveness |
get_segments | Segment users by onboarding stage for targeted follow-up |
Flow creation gap: Metric-triggered flows are configured in the Klaviyo UI. MCP builds the templates; you wire the triggers manually.
npx claudepluginhub infrasity-labs/dev-gtm-claude-skillsOptimizes post-signup onboarding flows, user activation, and time-to-value. Guides defining aha moments, reducing drop-off, and improving first-session experience.
Optimizes post-signup onboarding, user activation, and first-run experience. Helps define the aha moment, reduce time-to-value, and design onboarding flows that improve retention.
Optimizes post-signup onboarding flows to accelerate aha moments, boost activation rates, and minimize time-to-value using interactive principles and progress tracking.