Google BigQuery

Stream source data into the client's warehouse on a schedule. The client's analytics team has their own stack. Write GA4, Ads, and Shopify into their BigQuery dataset every 15 minutes so their analysts query Arlo data in dbt like they do everything else.

BetaScheduled pushWarehouses

BigQuery vs. ARLO

Do you need a data warehouse, or just an answer? ARLO skips BigQuery entirely

If you already run a BigQuery warehouse, the rest of this page shows how ARLO can push live data into it. But most agencies reach for a warehouse only because that's how you're "supposed" to centralize marketing data — not because they need years of joinable history. If the real job is "what happened this month," a warehouse is a project, not an answer. ARLO queries GA4, Ads, and Search Console live, with no schema, no pipeline, and no SQL.

BigQuery	ARLONo dashboard to build
Setup	Design a schema, build ETL per source	Ask Claude — no schema, no pipeline
Cost model	Usage-based storage + query pricing, plus ETL tooling	Free to start, live queries included
Query skill required	SQL	Plain English
Data freshness	As fresh as the last load job	Live on every question
Best for	Large historical datasets, cross-source joins, data science	Fast, current answers on marketing performance

Skip BigQuery when

✓You want a this-week or this-month answer, not a data warehouse project
✓You don't have a data engineering function to build and maintain pipelines
✓Marketing reporting is the job, not a broader data-warehouse strategy

Keep BigQuery when

—You need years of historical, queryable data for analysis beyond marketing reporting
—You already have an analyst who writes SQL against a warehouse
—You're joining marketing data with other business systems (product, finance) in one place

How it works

Live in three steps.

Connect Google once

One OAuth grant links every client's marketing data to ARLO — GA4, Google Ads, Search Console, Meta, Shopify and more.

Choose Google BigQuery

Pick Google BigQuery as your destination, select which sources and metrics flow, and set the cadence that fits.

Data flows automatically

Google BigQuery stays current with live ARLO data — no exports, no stale CSVs, and nothing to rebuild by hand.

Example prompts

Things you can just ask.

Drop your MCP URL into Claude and ask in plain language. Here’s a taste of what one connection unlocks.

Free download

Get all 50 prompts

The full library as a branded PDF — 50 prompts, ready for Google BigQuery.

Show sessions and conversions by channel, this month vs. last.

The whole acquisition picture in one prompt — no switching reports, no CSV exports.

Which landing pages drove the most revenue last week?

Revenue attributed to the exact pages that earned it, ranked and ready for the dashboard.

Top 20 Search Console queries by clicks, with CTR and position.

Your organic winners and the quick-win queries, without opening Search Console.

What's ROAS by campaign for the last 30 days vs. the prior 30?

Paid efficiency across every campaign, trended — the number clients ask for first.

Any metric down more than 20% week over week?

Problems raise their own hand before a client notices — one prompt, every source.

Give me month-over-month movement across every channel for this client.

The monthly rollup that used to eat an afternoon, in a single sentence.

Run a one-line health check across all my connected sources.

Start every week — and every client call — already knowing where things stand.

More Warehouses destinations

Other ways to get your data where clients already work.

Snowflake

Coming soon · September 2026

Amazon Redshift

Waitlist

Databricks

Waitlist

FAQ

Destinations, answered

How ARLO gets your live data into the tools your clients already open.

Can't find what you're looking for? Contact our support team

What's the difference between a live connector and a scheduled push?

A live connector like Looker Studio queries ARLO on demand, so the dashboard is always current. A scheduled push or digest sends data on a cadence you choose: hourly, daily, or weekly.

How fresh is the data in each destination?

Live connectors pull the moment someone opens the report, so there are no stale CSVs. Scheduled destinations are as fresh as the cadence you set.

Can I client-brand the dashboards and reports?

Yes. Clone the ARLO template, point it at a client, and it renders with their branding. The Shareable Arlo Dashboard gives each client a tokenized, client-branded, read-only URL.

Do I need a data warehouse to use ARLO?

No. Destinations are optional. ARLO's core is live Claude queries with nothing stored — warehouses are there only for teams whose analysts want the raw data in their own stack.

How do I request a destination you haven't built?

Tell us on the contact form where your clients want their data. Every ask bumps that destination up the queue — the roadmap is demand-driven.