Funnel.io vs. ARLO · Updated July 2026

Funnel.io vs. ARLO: Skip the data hub, ask Claude

Funnel.io is a marketing data hub: it pulls spend and performance data from hundreds of ad and marketing platforms, normalizes it into a consistent data model, and pushes it into a BI tool or warehouse — Looker Studio, Tableau, Power BI, Snowflake, BigQuery — where you or an analyst still build the actual report. It's built for teams that already run a BI stack. ARLO skips the hub and the BI layer entirely: Claude queries each connected platform live through MCP and answers in plain English on the spot, with no data model to configure and no downstream tool required. Funnel.io also doesn't publish self-serve pricing — agencies typically go through a sales quote scaled to sources and data volume. ARLO is free to start during early access, no card and no sales call.

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A data hub still needs a BI tool on the other end

Funnel.io solves a real problem well: agencies and in-house teams pull spend and performance data out of hundreds of ad and marketing platforms, normalize it into one consistent model, and pipe it into whatever BI tool or warehouse the rest of the business already relies on. That's genuinely useful when you have analysts and stakeholders across a BI stack. But Funnel's own job ends the moment the data lands — someone still has to build and maintain the actual report in Looker Studio, Tableau, or Power BI before anyone gets an answer. And unlike most of the tools in this category, Funnel.io doesn't publish self-serve pricing at all; getting a number means talking to sales first. ARLO removes both steps. Claude reads each connected platform live through MCP, so instead of normalizing data for a BI tool you still have to build in, your team just asks — "how did this client's paid spend do last month?" — and gets the answer directly, starting today with no quote required.

Feature comparison

Feature	Funnel.io	ARLORecommended
Entry price	Custom quote — no public self-serve pricing	Free during early access — no card
What you get	Normalized data piped into your BI tool or warehouse	Live answers in Claude, no BI tool required
Setup per client	Configure sources, data model, and a BI destination	Pick a property from a dropdown
Claude / AI access	Not the product	The whole point — and it's free
Who builds the report	You or an analyst, in Tableau/Looker Studio/Power BI	Nobody — you ask the question directly
Data freshness	Sync cadence per source	Live on every query
Data warehouse	Common destination (BigQuery/Snowflake)	None — pass-through, nothing stored

ARLO is the better fit when

✓Your team wants the answer, not a data model to maintain in a BI tool
✓You don't have an analyst or a BI license just to check last month's numbers
✓You want to start today without a sales call or a custom quote
✓You already work inside Claude and want live data there

Stick with Funnel.io when

—You already run Tableau, Looker Studio, or Power BI with analysts building on top of it
—You need one normalized data model feeding multiple BI tools and stakeholders
—You rely on Funnel's long tail of ad/marketing sources ARLO doesn't cover yet

← Learn more about ARLO for Marketing data hub / ETL to BI & warehouse

FAQ

Questions, answered

Common questions about Funnel.io vs. ARLO.

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Is ARLO a full Funnel.io replacement?

For agencies whose real workflow is answering client questions about performance, yes — ARLO replaces the hub-plus-BI-tool combo with a live Claude query. Funnel.io still wins when you already run a BI stack with analysts building on normalized data for multiple stakeholders. Some teams keep Funnel feeding a warehouse for company-wide BI and add ARLO for day-to-day client questions.

How much does Funnel.io cost compared to ARLO?

Funnel.io doesn't publish self-serve pricing — agencies go through a sales quote scaled to sources and data volume. ARLO is free during early access: every feature, every client, unlimited sources, no card and no sales call.

Does ARLO need a BI tool the way Funnel.io does?

No. Funnel.io's job ends once your data lands in Looker Studio, Tableau, Power BI, or a warehouse — you or an analyst still build the report there. ARLO has no BI layer; Claude is the interface, so there's nothing downstream to build.

Does ARLO store my clients' data the way a data hub does?

No. ARLO is pass-through — data is fetched live from each connected platform's API and returned to Claude, then discarded; nothing is normalized into a persistent model or warehoused. OAuth tokens are encrypted at rest, but there's no persistent copy of client data.