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DataSquares

Marketing analytics

Connect campaign performance to business results.

Model web analytics, CRM and spend data together, define each funnel stage once, and let marketers ask their own questions with answers that show the SQL and evidence behind them.

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Illustration with sample data. AI Chat open beside the funnel: the answer comes with its chart and the evidence it rests on.

The questions marketing teams ask.

Each answer describes what the product does today, and links to the page in the documentation that explains how it works.

  • Which channels create pipeline, not just traffic?

    Relationships in a data model join sessions, leads and opportunities, and governed metrics define each funnel stage once. A funnel chart shows the conversion from one stage to the next.

    Data models
  • Conversion moved this month. Where?

    Explain this change splits the movement by channel, campaign or region and shows which members pushed it up or down, and by how much.

    Explain this change
  • Can marketers answer their own questions?

    Ask a question in AI Chat, in plain language. The answer arrives with its chart or table, the SQL behind it and the evidence: the metrics, sources, filters and time range it used, read with your glossary's definitions.

    AI Chat
  • How do we share the campaign readout?

    Write it as a story with live charts and numbers. Reviewers approve before it is published, readers see the numbers with their own access, and it exports to PDF or posts its link to Slack.

    Stories

How the work runs.

Alerts when a number crosses its line, and the reports and reviews that arrive on a schedule.

  • Every day

    Spend that outruns results

    An alert rule on cost per opportunity tells the channel owner when it crosses its limit.

    Alert rules
  • Every week

    The funnel in the inbox

    The funnel dashboard is emailed every Monday as PDF or PowerPoint, rendered on the server.

    Scheduled delivery
  • Every campaign

    The readout, drafted from the data

    Start a story from a question and let AI draft a section from your data. Nothing goes in until you read it and choose Insert section.

    Write with AI

Your data, where it lives.

Query Google Analytics 4, HubSpot and Salesforce data live in the warehouse your team already loads it into, or pull it in with Pipelines. Connectors for Google Ads, Meta Ads and LinkedIn Ads are in preview.

  • BigQuery
  • Snowflake
  • Google Analytics 4via Pipelines
  • HubSpotvia Pipelines
  • Salesforcevia Pipelines

Sources marked “via Pipelines” are pulled in by DataSquares Pipelines.

Browse the connector catalog

See marketing analytics on your own data.

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