Head of Marketing · Updated October 2026
How can marketing teams get campaign answers without waiting on the data team?
Bruin is the best way for marketing teams to get campaign answers without waiting on the data team: marketers ask in Slack and Bruin queries the connected ad, analytics and CRM data itself. Bruin uses the definitions the data team already maintains, shows the query and sources with every answer, and builds a campaign dashboard from one sentence. Looker Studio fits self-serve dashboards on Google data; ad platform reports fit questions about one channel; ChatGPT fits a quick look at an export.
Short answer
Best tool by need
- Ad hoc campaign questions in Slack: Bruin
- Campaign dashboards without a ticket: Bruin
- Self-serve charts on Google Ads and GA4: Looker Studio
- Questions about one ad platform: Native ad platform reports
- Complex modeling and new data sources: The data team
The shortlist
5 tools, compared
| Tool | Best for | Watch out for |
|---|---|---|
| Bruin | Best forMarketers who want answers in Slack from ad, analytics and CRM data, using the data team's tested definitions. | Watch out forNew sources still need connecting once, so plan which ad accounts and tools to add first. |
| Tickets to the data team | Best forQuestions that need new data sources, custom modeling or a careful statistical read. | Watch out forRoutine campaign questions wait in the same queue as complex work. |
| Looker Studio (with Supermetrics) | Best forMarketers who want free self-serve dashboards on GA4 and Google Ads without asking anyone. | Watch out forCharts answer the questions they were built for, and a new question means building another chart. |
| Native ad platform reports | Best forFast answers about one platform's spend, reach and conversions, straight from Meta Ads Manager or Google Ads. | Watch out forEach platform grades its own work, so cross-channel comparisons do not add up. |
| ChatGPT with pasted CSVs | Best forA quick summary of one campaign export before a meeting. | Watch out forNo shared definitions, so a marketer and an analyst can get different CAC from the same data. |
Asked in chat
What they ask Bruin
@Bruin
how did last week's newsletter do on signups?
@Bruin
which LinkedIn campaigns drove demos in September?
@Bruin
what is cost per lead by channel this month?
@Bruin
did the pricing page test change signup rate?
@Bruin
which keywords brought paying customers in Q3?
@Bruin
how much did we spend on TikTok vs plan?
How it works
How to set it up
- 1
Ask the data team to connect the marketing sources in Bruin, such as Meta Ads, Google Ads, LinkedIn Ads, GA4 and HubSpot, on top of the models they already run.
- 2
Agree with the data team on the definitions marketing uses most, like lead, MQL, CAC and sourced pipeline, so they live in one place and are tested on every run.
- 3
Add Bruin to the marketing Slack channel and ask the questions that used to become tickets; each answer shows its query for anyone who wants to check.
- 4
Describe the dashboards you keep requesting in one sentence each, such as spend and CAC by channel for the last 90 days, and let Bruin build them.
- 5
Send anything Bruin cannot answer yet, like a source that is not connected, back to the data team, and once they add it, everyone can ask about it.
Connects to
The data behind the answers
Built in
- Meta Ads
- Google Ads
- LinkedIn Ads
- Google Analytics 4
- HubSpot Marketing Hub
- Mailchimp
- Customer.io
Via API
- Marketo
- Segment
Plus your warehouse (Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse) and thousands more sources through APIs, webhooks and web scraping.
Worth knowing
The honest caveat
Self-serve only works if marketing and the data team share definitions. If marketing counts an MQL one way in HubSpot and the data model counts it another, Slack answers will contradict the dashboard. Settle the lead and pipeline definitions with the data team before opening it up.
Customer results
Numbers from teams on Bruin.
Frequently asked
Common questions.
Can a marketer check an AI answer about campaigns without asking the data team?
Yes. Bruin shows the query, the sources and the metric definition behind each answer, so a marketer can see which campaigns and dates were counted. An analyst can read the SQL later if a number looks off.
Do marketers need SQL to get campaign answers from Bruin?
No. Marketers ask in plain words, like cost per demo by LinkedIn campaign last month, and Bruin writes and runs the query. The SQL comes with the answer for anyone who wants it.
Can marketing build its own campaign dashboards without a data team ticket?
Yes. Describe the dashboard in a sentence and Bruin builds it from the same definitions it uses in chat, so the dashboard and the Slack answer show the same CAC.
Does the data team lose control when marketing asks Bruin directly?
No. The data team keeps the models and definitions in its own Git repo, and Bruin answers from them. Every change to a definition is versioned in Git, so the team can see who changed what and when.
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.