SQL database reporting

From database to dashboard. In one magical flow.

Connect directly to your database to query and report on live data — in one place. Why juggle three tools when one can do it all?

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“With live data connectors, spreadsheets, and dashboards, Equals handles all our custom database reporting – from start to finish.”

Jean-Michel Lemieux
Former CTO, Shopify

Your data in Postgres. Always on tap.

Integrated

From queries to charts and live dashboards - it's all here, no ETL-wrangling required.

Familiar

Enable everyone to interact with reports in the comfort of a full-featured spreadsheet.

Automated

Equals auto-updates your queries, so you don't have to. Weekly, daily, hourly–it's up to you.

Flexible

Field every ask, from recurring reports to ad hoc explorations. Spreadsheets rule.

Tackle everything from checks to deep-dives

With great power comes unlimited insights.

How many users adopted our new feature?

How did our product update impact retention?

What are the top predictors of churn?

How long do users spend in the app?

What's the average number of sessions per week?

Where's the biggest drop-off in onboarding?

How did the A/B test impact retention?

What is lead-to-user conversion by channel?

Is the new onboarding flow impacting activation?

What's different about users who convert to paid?

How many users adopted our new feature?

How did our product update impact retention?

What are the top predictors of churn?

How long do users spend in the app?

What's the average number of sessions per week?

Where's the biggest drop-off in onboarding?

How did the A/B test impact retention?

What is lead-to-user conversion by channel?

Is the new onboarding flow impacting activation?

What's different about users who convert to paid?

What is the average time to first purchase?

How do user demographics correlate with feature adoption?

What are the most common user paths leading to conversion?

What percentage of users engage with notifications?

How does customer support interaction affect user satisfaction?

What are the key factors driving user engagement?

How has the introduction of the loyalty program affected retention?

What is the churn rate by subscription plan?

How do different user segments respond to marketing campaigns?

What are the common characteristics of high-LTV (lifetime value) users?

What is the average time to first purchase?

How do user demographics correlate with feature adoption?

What are the most common user paths leading to conversion?

What percentage of users engage with notifications?

How does customer support interaction affect user satisfaction?

What are the key factors driving user engagement?

How has the introduction of the loyalty program affected retention?

What is the churn rate by subscription plan?

How do different user segments respond to marketing campaigns?

What are the common characteristics of high-LTV (lifetime value) users?

How many users return within the first week after signup?

What is the impact of push notifications on user activity?

What are the most frequent reasons for user churn?

How does feature usage vary by geographic location?

What is the average lifetime value of a user?

How does user behavior differ between mobile and web platforms?

What percentage of users complete their profile setup?

How effective are in-app tutorials at improving user retention?

What is the impact of customer feedback on product development?

How do seasonal trends affect user engagement?