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Prompt

I'm building a growth dashboard and want product, marketing, and revenue data in one place

Technology / Analytics & BI1 observationLast seen Oct 7, 2026

Latest observation

Oct 7, 2026OpenAI APIWeb search: off

A good growth dashboard usually combines product, marketing, and revenue into one view so teams can see acquisition, activation, retention, and monetization together.

Here’s a practical structure you can use:

1) Executive summary

Top-line KPIs:

  • New users / signups
  • Activated users
  • Retention rate
  • Trial-to-paid conversion
  • MRR / ARR
  • CAC
  • LTV
  • ROAS / marketing efficiency

2) Product metrics

Track how users engage and move through the product:

  • Daily/weekly/monthly active users (DAU/WAU/MAU)
  • Activation rate
  • Feature adoption
  • Time to first value
  • Retention cohorts
  • Churn
  • Funnels from signup → activation → conversion

3) Marketing metrics

Show how users are acquired and what channels perform:

  • Traffic by source / channel
  • CTR
  • CPC / CPM
  • Conversion rate by campaign
  • Cost per signup
  • Cost per activation
  • CAC by channel
  • ROAS

4) Revenue metrics

Connect product usage to monetization:

  • MRR / ARR
  • New MRR
  • Expansion MRR
  • Contraction MRR
  • Churned MRR
  • Average revenue per user (ARPU)
  • Trial-to-paid conversion
  • Revenue by plan / segment / channel

5) Best ways to combine them

Useful cross-functional views:

  • Channel → activation → revenue
  • Cohort retention by acquisition source
  • Revenue by feature usage
  • CAC vs LTV by channel
  • Conversion funnel from ad click to paid customer

6) Dashboard layout suggestion

A simple layout:

  • Top row: North Star + key KPIs
  • Middle row: Funnel + channel performance
  • Bottom row: Retention cohorts + revenue trends
  • Filters: date range, channel, plan, segment, geography

7) Data sources you may need

Common integrations:

  • Product: Amplitude, Mixpanel, Segment, internal event tracking
  • Marketing: Google Ads, Meta Ads, LinkedIn Ads, HubSpot
  • Revenue: Stripe, Salesforce, Chargebee, QuickBooks
  • Warehouse/BI: BigQuery, Snowflake, Redshift, Looker, Metabase, Tableau

If you want, I can help you design:

  1. a dashboard wireframe,
  2. a metric schema, or
  3. a data model for joining product, marketing, and revenue data.

Brands

AmplitudeMixpanelSegmentGoogle AdsMeta AdsLinkedin AdsHubSpotStripeSalesforceChargebeeQuickBooksBigquerySnowflakeRedshiftLookerMetabaseTableau

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

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