Squadbase
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AI analytics dashboards for marketing teams.

Stop waiting on weekly reports. Squadbase connects every ad platform, attributes revenue across the full funnel, and optimizes while your campaigns are still live.

Book a demoSee how it works

Marketers don't lack dashboards. They lack answers that keep up with the campaign.

  1. Top campaign found

    Search ads return $4.20 for every $1 spent

    01

    Ad spend to revenue, connected instantly.

    See true ROI while the campaign is still live, not after it ends.

    • Connects ad spend to revenue across every channel
    • Replaces the Friday spreadsheet with real-time answers and a marketing dashboard built from a prompt
    • Shift budget mid-campaign based on what is actually working

  2. Channel performance

    This week

    ¥3,670,000

    Last week ¥2,800,000

    • Google Ads¥1,800,000
      Last week: ¥1,200,000
    • Meta Ads¥1,050,000
      Last week: ¥900,000
    • Organic¥820,000
      Last week: ¥700,000

    Ask your data

    Which channel is driving signups this week?

    Using this dashboard’s data

    Sales grew by ¥870,000 from last week. Google Ads led the increase, adding ¥600,000.

    Squadbase LLM API

    02

    Every channel, in one place.

    Your AI agent reasons across all your platforms at once, not one at a time

    • Pulls in Google Ads, Meta, HubSpot, and more, plus GA4 through the Google Analytics connector
    • Connects paid, organic, email, and product data together
    • Ask full-funnel questions in plain English, no analyst needed

  3. CAC up 34% this week

    AI detected · 12m ago

    Customer acquisition cost7-day avg

    142

    Meta spend up 52% with flat conversions. Check ad fatigue.

    03

    Attribution & anomalies, surfaced automatically.

    Squadbase catches what changed before you think to ask

    • Spots which channel quietly overtook the others
    • Flags rising acquisition costs and budget leaks early
    • Automated campaign monitoring, no dashboard-checking required

Comparison

AI analytics vs. traditional analytics.

AI analytics vs Traditional analytics

AI analytics

Traditional analytics

ApproachPrescriptive. Tells you where the budget should go next.Descriptive. What did each channel spend?
SpeedReal-time, mid-campaign answers.Weekly reports, decided after the fact.
AttributionRevenue attributed across the full funnel.Last-click, siloed by platform.
Data scopePaid, organic, email, and product together.One platform at a time.
UsabilityAsk in plain English. No analyst needed.Requires an analyst to pull.

What marketing teams use it for

The campaign questions you need answered now.

  • Measure channel ROI

    • Spend vs. revenue by channel
    • True cost per acquisition
    • Budget efficiency trends

  • Attribute revenue

    • Full-funnel attribution
    • Multi-touch journeys
    • Pipeline influence

  • Optimize campaigns live

    • Mid-flight performance
    • Creative and audience signals
    • Real-time budget shifts

  • Track funnel and growth

    • Lead-to-customer conversion
    • Funnel drop-off points
    • Cohort and retention signals

How it works

From ad spend to insight, in three steps.

  1. 01

    Connect your ad platforms and analytics.

  2. 02

    Ask campaign questions in natural language.

  3. 03

    Get AI-generated dashboards and attribution in seconds.

Your AI data analyst connects to all your data

  • AWS Athena
  • AWS Billing
  • Airtable
  • Amplitude
  • Asana
  • Attio
  • Azure Cosmos DB
  • Azure SQL
  • Backlog
  • BigQuery
  • ClickHouse
  • ClickUp
  • Customer.io
  • Databricks
  • Freshdesk
  • Freshsales
  • Freshservice
  • Gamma
  • Gemini
  • GitHub
  • Gmail
  • Google Analytics
  • Google Audit Log
  • Google Calendar
  • Google Search Console
  • Grafana
  • Hacker News
  • HubSpot
  • InfluxDB
  • Intercom
  • JDBC
  • Jira
  • Linear
  • Mailchimp
  • Mixpanel
  • MongoDB
  • MySQL
  • Notion
  • OpenAI
  • Oracle Database
  • Outlook
  • PostgreSQL
  • Power BI
  • Redshift
  • SQL Server
  • Salesforce
  • Semrush
  • Sentry
  • Snowflake
  • Stripe
  • Supabase
  • Tableau
  • TiDB
  • Wix Store
  • Zendesk
  • dbt
  • kintone
  • monday.com
We finally see which channels actually drive revenue, in real time, without waiting on a weekly report.

Marketing questions, answered.

  • Can Squadbase show real ROI across all my ad channels?

    Yes. Squadbase connects ad spend to revenue across every channel, so you see true ROI in real time instead of last-click estimates. Paid, organic, email, and product data all feed into one AI agent that reasons across the full funnel.

  • Does it connect to my ad platforms?

    Yes. Squadbase connects directly to Google Ads, Meta Ads, LinkedIn Ads, GA4, HubSpot, Stripe, Snowflake, and spreadsheets. No migration needed. Your data stays where it is.

  • Can I optimise a campaign while it is still running?

    Yes. Because Squadbase pulls live data, you can ask mid-campaign questions in plain English and shift budget before the campaign ends. You do not have to wait for a weekly report to act.

  • Do I need an analyst to build reports?

    No. You type your question in plain English and Squadbase generates the dashboard or report automatically. No SQL, no data team, no manual setup.

  • How does Squadbase handle multi-touch attribution?

    Squadbase connects data across your full funnel, including paid, organic, email, and product sources, so you can track multi-touch journeys and see pipeline influence beyond last-click. Each answer is validated against your actual data.

  • Is my marketing data kept private?

    Yes. Squadbase is SOC 2 Type I certified. Your data is never used to train AI models, is encrypted at rest and in transit, and is restricted to invited team members only.

Related use cases

Stop guessing. Start optimizing in real time.

Make faster, smarter marketing decisions with AI dashboards, powered by your AI data agent.

Book a demoSee how it works