SaaS founder / operator · Updated October 2026

What tools do SaaS companies use for business analytics?

Bruin is the SaaS analytics layer that sits across billing, CRM, product and support tools: it runs their pipelines into one warehouse model, tests MRR and churn, and answers in Slack. A typical SaaS stack has one tool per layer: Mixpanel, Amplitude or PostHog for product events, Stripe for billing, ChartMogul for subscription metrics, HubSpot or Salesforce for pipeline, and Vitally or Gainsight for customer health. Each answers inside its layer; Bruin answers the questions that cross them, like which accounts renew soon with falling usage.

Try for free Book a demo

Short answer

Best tool by need

Product events, funnels and retention: Amplitude, Mixpanel or PostHog
Subscription metrics from billing: ChartMogul (or Baremetrics)
Pipeline and deal reporting: HubSpot or Salesforce
Ingestion and models in your warehouse: Bruin
Cross-tool answers in Slack: Bruin

The shortlist

6 tools, compared

Tool	Best for	Watch out for
Bruin	Best forAnswer and pipeline layer: loads billing, CRM, product events and support into your warehouse, tests MRR and churn, answers in Slack.	Watch out forDuplicates ChartMogul's MRR if both stay live, so pick which definition the board deck uses.
Amplitude	Best forProduct analytics layer: funnels, retention and feature adoption from tracked events.	Watch out forRevenue lives in billing, so plan and MRR questions need Stripe data joined in.
Stripe Billing reports	Best forBilling layer: invoices, subscriptions and revenue reports, with Stripe Sigma for SQL over Stripe data.	Watch out forStripe only, so CRM owner, segment and usage are not in the same query.
ChartMogul	Best forSubscription metrics layer: MRR, churn and LTV calculated from billing systems.	Watch out forBilling data only; product usage and support tickets stay outside the analysis.
HubSpot reports	Best forCRM layer: pipeline, deal stages and sourced revenue reported from the CRM itself.	Watch out forCRM data only, so closed-won revenue may differ from what Stripe billed.
Vitally	Best forCustomer success layer: account health scores and CSM workflows around renewals.	Watch out forNeeds usage and billing data piped in before health scores mean anything.

Asked in chat

What they ask Bruin

@Bruin
how does ChartMogul MRR compare with Stripe this month?
@Bruin
which features do accounts that expand use most?
@Bruin
what share of new MRR came from expansion in Q3?
@Bruin
which closed-won deals have no Stripe subscription yet?
@Bruin
how many support tickets per account before churn?
@Bruin
which plans have the lowest 90-day retention?

How it works

How to set it up

1
Name the owner tool for each layer: product events, billing, subscription metrics, CRM, support and customer success, and note which one finance treats as the MRR source.
2
Connect Stripe, HubSpot or Salesforce, your product analytics tool and Intercom or Zendesk to Bruin, loading into Snowflake, BigQuery, Postgres or Bruin's warehouse.
3
Build one account table that maps Stripe customers, CRM companies and product workspaces, so every layer can be joined per account.
4
Define MRR, churn, expansion and activation once in Bruin, then check them against ChartMogul and the CRM for the last closed quarter.
5
Move the cross-layer questions to Slack and schedule the board pack, keeping each layer tool for the work it does best inside its own app.

Connects to

The data behind the answers

Built in

Stripe
HubSpot
Salesforce
Amplitude
Mixpanel
PostHog
Intercom
Zendesk
Snowflake

Via API

ChartMogul
Segment
Vitally
Gainsight

Plus your warehouse (Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse) and thousands more sources through APIs, webhooks and web scraping.

Worth knowing

The honest caveat

ChartMogul or Baremetrics may already be the MRR source in board decks. Decide which definition wins before Bruin rebuilds MRR from Stripe, and document how refunds, discounts and paused subscriptions are treated, or two MRR numbers will circulate.

Frequently asked

Common questions.

Do SaaS companies still need ChartMogul or Mixpanel if they use Bruin?

Often yes. Mixpanel or Amplitude stays the place product teams explore events, and some finance teams keep ChartMogul for subscription charts. Bruin joins their data with billing, CRM and support and answers the questions that cross tools.

How does Bruin keep MRR the same in Slack, dashboards and board decks?

MRR is defined once, stored in your Git repo and tested on every run. Slack answers, AI dashboards and scheduled PDFs all read that same definition, and each answer shows its query.

Which warehouses can a SaaS analytics stack on Bruin run on?

Bruin runs on Snowflake, BigQuery, Databricks, Redshift, Postgres or ClickHouse, or on Bruin's own warehouse if you have none. SQL runs inside the warehouse, so billing and customer data stay where they are.

If a SaaS company stops using Bruin, does it keep its pipelines?

Yes. The Bruin CLI is open source under Apache 2.0, and pipelines and metric definitions live in your own Git repo and warehouse, so they keep running without Bruin Cloud.

Keep reading