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Funnel.io

We collect data from any source and transform it into automated marketing reports.

Founded 2014 Stockholm, Stockholm County, Sweden 201-500 employees Updated Mar 2026

Funnel.io Pros & Cons

Key strengths and limitations to consider

Strengths

  • Large library of marketing connectors (120+ core; 500+ total by plan)
  • Built-in data harmonization/field mapping for ad metrics
  • Multiple destinations supported, including warehouses and BI tools
  • ISO 27001 certified and SOC 2 Type II attested

Limitations

  • Starter plan excludes export destinations
  • Custom destinations are built/maintained by Funnel, not self-serve
  • Pricing is tiered and enterprise is custom-quoted

Ideal For

Who benefits most from Funnel.io

Quick Analysis

Funnel.io sits in the marketing data ETL/ELT and marketing reporting enablement segment (often bought by performance marketing and BI teams). In practice it functions as a managed connector layer plus a light modeling/harmonization hub for paid media and adjacent marketing sources, feeding standardized datasets into dashboards or warehouses.

Strengths are breadth of marketing connectors and an opinionated, marketer-friendly workflow for field mapping/harmonization and repeatable reporting outputs. It tends to win versus Supermetrics and Windsor.ai when teams need more robust normalization and multi-destination sharing, and versus Fivetran when the primary problem is marketing API volatility and business-ready ad metrics rather than general-purpose SaaS replication.

Buyers should shortlist Funnel when the goal is reliable cross-channel performance reporting and feeding a warehouse/BI layer without building and maintaining custom marketing API pipelines. Validate connector coverage at the specific breakdown level you need (e.g., ad-level vs. keyword vs. creative), data freshness/backfill behavior, governance for multi-workspace/agency setups, and the practical limits/cost drivers of connectors and destinations before committing. If you already have strong data engineering and want broader enterprise replication patterns, compare with Fivetran; if you mainly need Looker Studio/Sheets extracts, compare with Supermetrics or Windsor.ai.

1

In-house growth team consolidating Google/Meta/TikTok spend into BigQuery for weekly performance models

2

Agency standardizing cross-client paid media datasets and publishing Looker Studio dashboards from one hub

3

Multi-region brand harmonizing currency and campaign taxonomy across markets for executive rollups

4

Marketing ops importing offline conversion files via webhook/file links to align spend with revenue data

Custom Pricing

Capabilities

Core Capabilities

ETL / ELT

Also Supports

Data Transformation Data Quality / Validation Business Intelligence / Reporting

Pricing

Model

custom

Starting Price

$200/mo

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