See exactly where customers get stuck in onboarding
Define your onboarding stages. LogoPulse tracks progression automatically. See drop-off rates, time-to-stage, and stalled accounts — without building an internal tool.
You built onboarding. You have no idea if it works.
Most SaaS teams build an onboarding flow, launch it, and hope for the best. The data to evaluate it lives across 4 different tools — or doesn't exist at all.
| Question | Where the answer lives today |
|---|---|
| What % of signups complete onboarding? | Nowhere — nobody calculated this |
| Which step has the highest drop-off? | Maybe Mixpanel, if someone set up a funnel |
| How long does onboarding take on average? | A spreadsheet someone made 6 months ago |
| Which customers are currently stuck? | Nobody knows until they email support |
| Is a broken step blocking everyone? | You find out from support tickets, weeks later |
The result: You improve onboarding based on intuition, not data. Your best customers finish setup in 2 days. Your churned customers never made it past step 2. And when 70% of accounts stall at the same step, you don't know if it's a UX problem or a bug — because nobody's measuring it.
Automatic onboarding tracking with stage-based progression
Define stages once
Create your onboarding flow as a series of stages. Each stage has conditions that trigger automatic advancement.
Automatic progression
LogoPulse evaluates stage conditions every hour. When a customer meets the criteria, they advance automatically. No webhooks, no manual updates, no Zapier glue.
See the funnel
The Metrics page shows your onboarding funnel with conversion rates between each stage. The Account Detail page shows each customer's individual journey.
Spot systemic problems
When 60% of accounts stall at the same stage, that's not a customer problem — that's your product's problem. Maybe the integration step has a confusing UI. Maybe there's a bug in the setup flow. LogoPulse makes these patterns impossible to miss, so your dev team can investigate and fix blockers that affect everyone.
Example stages
| Stage | Condition to advance |
|---|---|
| Signup | Account created (automatic) |
| Profile Complete | Metadata "companyName" exists AND "ownerEmail" exists |
| First Integration | Feature "SlackConnected" OR "APIKeyGenerated" enabled |
| First Project Created | Entity "project" count > 0 |
| Active | Entity "project" count > 5 AND feature count > 2 |
From signup to active — tracked automatically
-
Define stages
Create your onboarding flow as a series of stages with conditions built from entity counts, feature adoption, metadata, and AND/OR logic.
-
Track events
Connect the LogoPulse SDK and send the events that mark milestones: profile completed, integration connected, first project created.
-
Watch the funnel
Stages evaluate automatically every hour. The Metrics page shows conversion rates between stages; each account shows its own timeline.
-
Fix the bottleneck
When a disproportionate share of accounts stalls at one stage, investigate that step — a UX problem or bug — and fix it for everyone.
What you can measure
| Metric | What it tells you |
|---|---|
| Funnel conversion rates | What % of signups reach each stage? |
| Stage drop-off | Which step loses the most customers? Is it a systemic issue? |
| Time-to-stage | How long does each onboarding step take? |
| Time-to-first-entity | How quickly do customers create their first meaningful thing? |
| Stalled accounts | Which customers haven't progressed in 7+ days? |
| Stage history | When did each customer reach each milestone? |
Onboarding a customer from signup to active
A customer signs up on Monday. Here's what LogoPulse tracks automatically:
| Day | Event | LogoPulse action |
|---|---|---|
| Mon | Account created | Stage: Signup. Timer starts. |
| Mon | Profile completed, Slack connected | Stage advances to: First Integration. Feature "SlackConnected" marked adopted. |
| Tue | First project created | Stage advances to: First Project. Time-to-first-entity: 1 day. |
| Wed | 3 more projects created | Entity velocity tracked. Health score updating. |
| Thu | API key generated, team member invited | Feature adoption growing. Two more features adopted. |
| Next week | 8 projects, 3 features adopted | Stage advances to: Active. Full onboarding completed in 7 days. |
Every step is automatic. No manual stage updates. No spreadsheet. No "I think they're onboarded."
Now imagine 30% of your signups never make it past "First Integration." That's not 30 individual problems — that's one integration flow that needs fixing. LogoPulse shows you that pattern in the funnel, so your team can prioritize the fix.
Comparison: no tracking vs LogoPulse
| Criteria | No Onboarding Tracking | LogoPulse |
|---|---|---|
| Know who's stuck | When they email support | Real-time, automatic |
| Funnel visibility | None | Full funnel with conversion rates |
| Time-to-value | Unknown | Measured per account |
| Stage progression | Manual or nonexistent | Automatic, rule-based |
| Drop-off analysis | "We lose people somewhere" | "43% drop off at First Integration — likely a UX or technical issue" |
| Spot product bugs | From support tickets, weeks later | Immediately visible as stage bottlenecks |
| Stalled account alerts | Never | Configurable (7, 14, 30 days) |
| Historical data | None | Full stage history per account |