Agency analytics lead · Updated October 2026

What is the best AI data analyst for marketing agencies?

Bruin is the best AI data analyst for marketing agencies that want one governed model per client instead of a dashboard per request. It joins each client's Google Ads, Meta Ads, TikTok Ads, GA4 and HubSpot or Salesforce data, defines CAC and ROAS once, and lets account teams and clients ask in Slack with the query shown. AgencyAnalytics fits white-label dashboards across many integrations; DashThis fits automated recurring reports; Looker Studio with Supermetrics fits free dashboards for Google-heavy clients.

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Short answer

Best tool by need

Per-client models with ads, GA4 and CRM: Bruin
Clients asking their own questions: Bruin
White-label client dashboards: AgencyAnalytics
Automated monthly client reports: DashThis
Free dashboards for Google-heavy clients: Looker Studio (with Supermetrics)

The shortlist

6 tools, compared

Tool	Best for	Watch out for
Bruin	Best forAgencies that want a governed model per client, with ads, GA4 and CRM joined and clients asking in Slack.	Watch out forEach client needs its definitions agreed, such as which conversions count, before answers go client-facing.
AgencyAnalytics	Best forAgencies that need white-label client dashboards with many marketing integrations, set up per client.	Watch out forDashboards answer the questions they were built for; follow-ups go back to the account team.
DashThis	Best forAutomated recurring client reports pulled from marketing platforms on a fixed template.	Watch out forReport-shaped, so ad hoc client questions still land with the account manager.
Whatagraph	Best forMarketing reporting that blends data across channels into cross-channel client views.	Watch out forFocused on marketing reporting rather than a client's full revenue and CRM model.
Looker Studio with Supermetrics	Best forFree dashboards strongest on GA4 and Google Ads, with Supermetrics adding other platforms.	Watch out forSlows down and breaks as sources multiply, and non-Google connectors usually cost extra.
Power BI	Best forAgencies serving Microsoft-centric clients that want dashboards inside the Microsoft stack.	Watch out forEach client report is built and maintained by someone on the team.

Asked in chat

What they ask Bruin

@Bruin
which of Acme's campaigns are under 2x ROAS?
@Bruin
what was blended CAC across all clients in Q3?
@Bruin
which clients' Meta CPA rose most this week?
@Bruin
how many deals did Google Ads source for Brightline?
@Bruin
which clients are pacing over their ad budget?
@Bruin
what did TikTok spend return for Northwind in May?

How it works

How to set it up

1
Connect each client's ad accounts (Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads), GA4 property and CRM to Bruin, with one workspace or project per client.
2
Define spend, conversions, CAC and ROAS once as a shared template, then adjust per client where conversion events or attribution rules differ.
3
Scope access per client so each one sees only its own data, and give account teams access across the clients they manage.
4
Invite clients to ask in a shared Slack channel, with every answer showing the query and the platforms behind it.
5
Schedule a Monday recap per client with spend, CAC and ROAS by channel, and set budget pacing rules that tag the account manager.

Connects to

The data behind the answers

Built in

Google Ads
Meta Ads
TikTok Ads
LinkedIn Ads
Google Analytics 4
HubSpot
Salesforce
Shopify
Klaviyo

Via API

Microsoft Advertising
Amazon Ads
CallRail

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

Worth knowing

The honest caveat

Ad platforms and GA4 rarely agree on conversions: Meta counts view-through conversions, GA4 misses sessions lost to blocked tracking, and the CRM counts closed deals. Agree with each client which source defines a conversion before giving them self-service access, or the first question becomes a dispute.

Customer results

Numbers from teams on Bruin.

All customer stories

3 tools
instead of the usual 6 to 7
Read the SCG story
< 1 week
for Bruin to build a custom connector
Read the SCG story
Month → 1 day
from idea to a production data source
Read the ProphetX story

Frequently asked

Common questions.

How do agencies know an AI data analyst's ROAS numbers are right for each client?

Bruin shows the query and the ad platform, GA4 or CRM tables behind every answer. ROAS and CAC have one definition per client, tested on every run, so the account team and the client see the same figure.

How is Bruin different from AgencyAnalytics?

AgencyAnalytics builds white-label dashboards for each client. Bruin builds one governed model per client with ads, GA4 and CRM joined, so clients ask their own follow-up questions in Slack and get the query with each answer.

Can an AI data analyst keep each agency client's data separate?

Bruin does. Access is scoped per workspace, project and asset, so a client sees only its own data while your team works across the clients it manages, and roles decide who sees spend, revenue or CRM detail.

Can Bruin connect a client tool that has no standard connector?

Yes. Beyond direct integrations, Bruin loads thousands of sources through APIs, webhooks and web scraping, so a niche call tracker or a client's internal database sits in the same model as their ads.

Keep reading

What is Bruin?

Bruin is an open-source, AI-powered data platform. One project covers the whole path from source to answer: data ingestion (with ingestr), SQL and Python transformations, quality checks, column-level lineage, a data catalog and scheduling. On top of that data, an AI data analyst answers questions in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser, and builds dashboards from a prompt.

Pipelines are plain SQL, Python and YAML files in your own Git repository, and the work runs inside your own warehouse: Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse, DuckDB and others. The Bruin CLI is open source under Apache 2.0 and runs on a laptop, in CI or on-prem. Bruin Cloud is optional and adds scheduling, the AI data analyst, governance, SSO and audit logs.

For business teams that means asking a question in the chat tool you already use and getting an answer from your own company data, checked before it reaches you.

Replaces: Separate tools for ingestion, transformation, orchestration, data quality, cataloguing and BI
Open source: Bruin CLI under Apache 2.0; ingestr source-available under the Functional Source License
Your data: Stays in your warehouse; pipelines stay in your Git repository
Security: ISO/IEC 27001:2022 certified and SOC 2 Type 2 attested
Used by: Data teams at Lessmore, StarBerry, NativeMinds, SCG, M8 Games and Fabrikatör

Why Bruin for Agencies

Answers where you already work
Ask in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser. There is no new tool to learn and no ticket to file with the data team.
Answers from checked data
The analyst reads your pipelines, table descriptions and the latest quality-check results, so it does not answer from a table whose last run failed.
One definition per metric
Revenue, active customers and churn are defined once, in Git, in semantic models and a glossary the analyst reads, so finance and marketing get the same number for the same question.
Built on a real data platform
Bruin also loads and models the data. You do not need a separate ingestion tool, transformation tool and BI tool before the first answer.

How it works

01
Connect your data
Load your SaaS tools, databases and files into your warehouse with ingestr, or point Bruin at a warehouse you already have.
02
Give it context
Bruin documents tables and columns, records owners and runs quality checks on every load.
03
Ask
Ask in Slack, Teams or the browser. Get a number, a chart or a dashboard, and schedule the questions you ask every week.

How the AI data analyst works Read the docs