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.
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.
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.
Your data already knows. Now Bruin's on it.
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.