Daasity: an honest deep dive
Daasity sits in a similar architectural slot to Funnel.io but is opinionated for DTC. They land your Shopify, Amazon, Meta, Google, TikTok, and email data into a warehouse (Snowflake by default, BigQuery available) along with prebuilt dbt models for cohorts, LTV, blended ROAS, and channel mix. The pitch is 'don't make your data team rebuild the same DTC schema everyone has' - Daasity ships the schema, you point Looker or your BI tool at it. Pricing is mid-market: lower than Funnel for DTC-focused use cases, but higher than Triplewhale because you also buy the warehouse layer. Strongest fit is a $20-200M DTC brand that has a data analyst but doesn't want them spending six months on plumbing.
Founded
2017
HQ
San Diego, USA
Funding
Series A - $10M total raised
Methodology
Warehouse native
Pre-built DTC data models that drop into your warehouse so your analyst doesn't have to start from scratch.
Daasity sits in a similar architectural slot to Funnel.io but is opinionated for DTC. They land your Shopify, Amazon, Meta, Google, and email data into Snowflake (or BigQuery) along with prebuilt dbt models for cohorts, LTV, blended ROAS, and channel mix.
The pitch is 'don't make your analyst rebuild the same DTC schema everyone has' - Daasity ships the schema, you point Looker at it. Faster to value than Funnel for DTC-specific use cases, but you accept their data model.
Prebuilt DTC data models in Snowflake + BI layer; attribution is configurable last-click or MTA.
Inputs
- Meta Ads
- Google Ads
- TikTok Ads
- Amazon Ads
Engine
Prebuilt DTC data models in Snowflake + BI layer; attribution is configurable last-click or MTA.
Outputs
- Ad-level dashboard
- CAPI feedback to platforms
- Warehouse export (Snowflake (primary))
Capability profile
How Daasity scores across the seven dimensions that actually differentiate attribution platforms
Scores are evidence-weighted, not vendor-supplied. The note under each bar explains the score.
Creative Attribution
Ad-level rollups exist in Looker; less polished than dashboard-first tools.
Incrementality Testing
Geo-holdout possible via warehouse; not packaged as a feature.
Cross Channel
Strong on DTC channels; lighter on offline/CTV than Funnel.
Data Export
Snowflake share is the architecture; everything is queryable.
Speed To Value
1-3 weeks; the prebuilt models cut a lot of the BI lift.
Accuracy Claim
Models are well-documented; defensible if you can read SQL.
Support Quality
Includes analyst hours at higher tiers; closer to a service than a SaaS.
- 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.
- $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.
What it connects to
Ad platforms
- Meta Ads
- Google Ads
- TikTok Ads
- Amazon Ads
- Pinterest Ads
- Snapchat Ads
Storefronts
- Shopify
- Shopify Plus
- Amazon
- WooCommerce
Analytics + email
- GA4
- Klaviyo
- Attentive
- Postscript
Warehouses
- Snowflake (primary)
- BigQuery
- Redshift
Other
- Looker
- Tableau
- Mode
- dbt
Style
REST + Snowflake share
Public
Yes
Rate limit
Per-account; generous on Plus and above
Webhooks
Yes
Docs: https://daasity.com/developers
Director of analytics, head of growth, or COO at a $20-200M DTC brand. Has Looker (or wants it) and a data analyst. Sick of waiting six months for the BI team to model the same Shopify schema again.
Common buyer notes
- Snowflake compute is on you - dashboards that run hot will show up on the Snowflake bill.
- Prebuilt DTC models save BI months but are opinionated - confirm the schema fits before signing.
- Analyst hours are bundled at Plus tier - clarify scope and turnaround.
Read the contract
- Annual commit common; multi-brand pricing requires custom scoping.
- Custom dimensions and modeling outside the standard schema can require Daasity tickets.
- If you don't already use Looker, factor in that licensing cost too.
- Buyers expect a dashboard tool and discover they need Looker on top.
- Custom dimensions sometimes require Daasity analyst tickets.
- Snowflake compute costs add up if dashboards run hot.
What buyers move to next
When Daasity customers outgrow the product, they typically move toward:
- Stay - Daasity scales with custom modeling
- Snowflake + dbt + in-house data team
- Add Funnel.io for non-DTC channel breadth
Creative-team fit
How relevant is this tool to your creative team?
Medium. Creative-level rollups happen in Looker if your BI team builds them. Daasity provides the data, not the creative review interface.
Compare directly
Daasity vs the alternatives
Most buyers narrow it to two candidates. Use the dedicated vs page for each pair.
Sources
What we read to build this
Daasity tells you what worked. Shuttergen helps you ship the next 25 variants.
Attribution closes the analysis loop. A creative engine closes the production loop. You need both.
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