Daasity vs Funnel.io
Two warehouse plays - DTC-opinionated vs source-breadth.
The honest verdict, before the deep comparison.
Both Daasity and Funnel.io land your data in Snowflake or BigQuery so your team can model attribution however you want. Daasity ships prebuilt DTC schemas, so you save 3-6 months of BI work but accept their data model. Funnel ships a much wider connector set (500+ vs ~30) and zero opinion - your data team builds everything. Pick by 'do we have BI bandwidth?'
Spec comparison
The numbers, side by side
Pricing, methodology, ICP, and integrations laid out without the marketing gloss.
| Spec | Daasity | Funnel.io |
|---|---|---|
| Founded | 2017 | 2014 |
| HQ | San Diego, USA | Stockholm, Sweden |
| Funding | Series A - $10M total raised | Series C - $66M total raised |
| Methodology | Prebuilt DTC data models in Snowflake + BI layer; attribution is configurable last-click or MTA. | ETL/ELT into your warehouse - attribution is whatever you build on top of the data. |
| Price (monthly) | $1500 - $5,000 | $1500 - $15,000 |
| Spend range | $100K-$2M monthly ad spend | $500K-$50M+ monthly ad spend |
| Storefronts | Shopify Plus, Shopify, Amazon Seller Central | Any - storefront-agnostic |
| API style | REST + Snowflake share | REST + warehouse share + reverse ETL |
| Warehouses | Snowflake (primary), BigQuery, Redshift | BigQuery, Snowflake, Redshift, Azure Synapse, S3 |
Capability matrix
The seven dimensions that actually differentiate them
Hover any cell for the evidence note.
| Capability | Daasity | Funnel.io |
|---|---|---|
| Creative-level attribution | 3/5 | 2/5 |
| Incrementality testing | 3/5 | 3/5 |
| Cross-channel coverage | 4/5 | 5/5 |
| Data export / warehouse | 5/5 | 5/5 |
| Speed to value | 3/5 | 2/5 |
| Accuracy of claims | 4/5 | 4/5 |
| Support quality | 4/5 | 4/5 |
Hover any cell for the evidence note · scores 0-5, evidence-weighted
Pricing
What you'll actually pay
Indicative monthly USD ranges based on public plans and customer reports as of 2026.
Indicative monthly USD pricing based on public plans and customer reports as of 2026. Actual quotes vary by ad spend, contact volume, and annual commit.
Daasity
Daasity: where it shines, where it falls short
- Prebuilt DTC data models save 3-6 months of BI work.
- Snowflake share included - your data team can extend the schema.
- Faster to value than Funnel for DTC-specific use cases.
- Analyst hours bundled at Plus tier and above.
- Not a turnkey dashboard - you'll still consume via Looker or similar.
- Less source breadth than Funnel.io for non-DTC channels.
- Pricing assumes you're committed to the warehouse approach.
- Smaller community than Funnel or Triplewhale.
Funnel.io
Funnel.io: where it shines, where it falls short
- 500+ source connectors - the broadest coverage of any tool in the category.
- Warehouse-native: data lands clean in BigQuery/Snowflake on your schedule.
- Storefront-agnostic - works just as well off-Shopify as on it.
- Mature data governance, SOC 2, enterprise-friendly.
- Not a dashboard - if you don't have a BI team, you're buying half a solution.
- Pricing starts in the multi-thousands; not a fit for sub-$500K/mo brands.
- Implementation is real work - 2-6 weeks before insights flow.
- Attribution methodology is yours to define and defend.
Daasity ICP
When Daasity is the right tool
- $20-200M DTC brands with a data analyst but no full data team.
- Stacks that want warehouse-grade data without building the schema.
- Multi-channel DTC including Amazon as a real revenue line.
- Founder-led brands without BI tooling.
- Non-DTC use cases (B2B SaaS, services).
- Sub-$10M GMV - the value comes from scale.
Funnel.io ICP
When Funnel.io is the right tool
- Mid-market and enterprise brands with a data team or BI lead.
- Agencies that need to plug into multiple client warehouses.
- Multi-channel stacks where 'we already have a warehouse' is true.
- Founder-led teams without SQL capability.
- Brands that just want a dashboard out of the box.
- Sub-$500K/mo accounts - the price doesn't pay back.
Most stacks don't actually have to pick.
Two warehouse plays - DTC-opinionated vs source-breadth. The two tools above sit at different layers or serve different audiences more often than they directly compete. If you find yourself stuck choosing between them, the question is usually about budget, team capability, or business model - not which feature set is "better."
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Sources
What we read to build this
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