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SaaS metrics move fast. Know the moment they do.

Lighthouse connects to your data warehouse and monitors your SaaS KPIs continuously. MRR drops, churn spikes, activation falls: your team gets a Slack alert immediately, not at the Friday standup.

Start for free
  • Free forever tier
  • Works on Snowflake, BigQuery, Postgres, SQL Server
  • No SQL required

Activation rate

34%-15%

Activation rate triggered

Value34%
Baseline40%

Your warehouse has the answers. Nobody's asking.

Your MRR, churn, activation, and DAU data sits in your warehouse. Dashboards exist. But dashboards require someone to look at them. When a metric moves at 11pm on a Tuesday, nobody's checking Looker.

Churn spikes on Wednesday

You find out Friday in standup

With Lighthouse: alerted in minutes

Activation rate drops 15%

Caught at the monthly review, after 3 weeks

With Lighthouse: alerted in minutes

Billing failure rate doubles

Finance notices when MRR doesn't close

With Lighthouse: alerted in minutes

Every SaaS KPI that matters.

If it's in your warehouse, Lighthouse can monitor it. Here's what teams most commonly track.

Revenue

  • MRR by plan tier, daily
  • Net new MRR vs last week
  • Revenue churn rate this month
  • Expansion MRR from upgrades

Activation

  • Trial-to-paid conversion rate
  • Activation rate by signup cohort
  • Time-to-first-value, last 7 days
  • Onboarding completion rate

Engagement

  • Daily active users by plan
  • Feature adoption rate
  • Session frequency by segment
  • Power user percentage

Retention

  • 7-day and 30-day retention
  • Churned MRR vs last month
  • At-risk accounts by usage signal
  • Logo churn rate this quarter

Growth

  • New signups per day by channel
  • Qualified lead volume from product
  • Referral conversion rate
  • Freemium upgrade rate

Support & ops

  • Support ticket volume per customer
  • API error rate by tenant
  • SLA breach rate this week
  • Billing failure rate

Built for SaaS teams that care about outcomes

Different teams, different metrics, all in the same workspace.

Data & analytics

Connect warehouses, create metrics, set alert policies. Lighthouse becomes the monitoring layer your whole company can use, without every request going through you.

Product & growth

Describe the metrics you care about in plain English. Get alerted when feature adoption drops, activation falls, or a funnel step degrades. No SQL, no tickets.

Finance & revenue ops

Monitor MRR, churn, billing failures, and expansion revenue. Know the moment a revenue metric moves, before the end-of-month reconciliation reveals the damage.

Customer success

Track product usage signals that predict churn (session frequency, feature adoption, time-since-last-login) for any segment. Get alerted before customers disengage.

First SaaS alert in under 10 minutes.

  1. 01

    Connect your warehouse

    Add read-only credentials for Snowflake, BigQuery, Postgres, or SQL Server. Lighthouse scans your schema and is ready in minutes.

  2. 02

    Describe a SaaS metric

    Type “MRR by plan tier, compared to last week” or “trial-to-paid conversion rate, last 7 days.” Lighthouse writes the SQL, sets compare periods, and builds an adaptive baseline.

  3. 03

    Get alerted in Slack

    When the metric moves outside its normal range, your team gets a Slack alert with the current value, baseline, change %, segment, and severity. No dashboard required.

Common questions

How is this different from a SaaS analytics dashboard?
Dashboards are reactive: someone has to open them. Lighthouse is proactive: your team gets a Slack alert the moment a metric moves past its normal range. They complement each other: Lighthouse tells you something changed, your dashboard helps you understand why.
Can I monitor MRR and churn from my warehouse?
Yes. If your billing data lands in Snowflake, BigQuery, Postgres, or SQL Server, Lighthouse can watch it. Describe what you want ('MRR by plan tier, compared to the same day last week') and Lighthouse writes the SQL automatically.
Can product managers and growth teams use this without SQL?
That's the point. Lighthouse lets non-technical users describe metrics in plain English. No SQL, no tickets to the data team. Product, growth, and finance can define and own their own alerts independently.
How does Lighthouse handle SaaS seasonality like end-of-month spikes?
Lighthouse compares each metric to a rolling baseline: same day of week, same time of day, averaged over the last 4 weeks. End-of-month patterns are factored in automatically as they recur.
We already have a BI tool. Why do we need this?
BI tools answer questions you ask. Lighthouse answers questions you forgot to ask. When MRR churn ticks up unexpectedly at 2am, nobody's looking at a Looker dashboard. Lighthouse fires a Slack alert immediately.

Stop finding out about SaaS metric drops in the weekly review.

Connect your warehouse, describe a metric in plain English, and get a Slack alert in 10 minutes. Free to start.

Start for free

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