Redshift attribution: run attribution on your Redshift data
The Redshift connector is in early access (Snowflake is live today). When you connect, AttriByte ingests the marketing and conversion events it needs into a managed, isolated environment and runs six attribution models — you keep ownership of your data with export and deletion on demand.
Setup
Connected in four steps, no pipeline required
Connect with a read-only user; AttriByte ingests the events it needs into a managed, isolated environment. No Glue job, no S3 export, no Redshift Spectrum setup.
Create a read-only user
In Redshift, create a dedicated user and grant SELECT on the schemas you want AttriByte to read. No superuser or write privileges needed.
Configure VPC access
Add AttriByte static IPs to your Redshift security group inbound rules. For Redshift Serverless, the same VPC endpoint approach applies.
Map event and conversion tables
Identify your touchpoint, session, and conversion tables in the schema mapper. AttriByte validates the schema and flags any required columns.
Attribution runs in a managed environment
AttriByte ingests the events it needs and computes all six models in a managed, isolated environment. In-warehouse pushdown is on the Enterprise roadmap.
Data residency
You keep ownership of your Redshift data
AttriByte connects to your Redshift cluster over an encrypted connection with a read-only user and ingests the events it needs into a managed, isolated, encrypted environment to compute your attribution. Your cluster stays the source of truth, and you can export or delete your data at any time.
Data is processed in an isolated environment, never pooled across customers, with a clear export and deletion path — so your data team has straightforward answers for a governance review.
- Read-only Redshift user, no write permissions
- No UNLOAD to S3 required
- Processed in a managed, isolated environment — never pooled across customers
- Connector in early access — Snowflake is live today
Query path
Your Redshift cluster (AWS)
Source of truth — you keep ownership
AttriByte attribution engine
Ingests events into a managed, isolated environment
AttriByte app
Renders your attribution reports
Attribution models
Six models on your Redshift data
AttriByte runs all six attribution models simultaneously on your ingested Redshift data. Compare channel performance across models without separate exports.
First-touch
Full credit to the channel that first introduced the buyer to your brand.
Last-touch
Full credit to the final touchpoint before conversion.
Linear
Credit distributed evenly across every touchpoint in the journey.
Time-decay
More credit to touchpoints closer in time to the conversion event.
U-shaped
40% first-touch, 40% last-touch, 20% across the middle touchpoints.
W-shaped
Weights first-touch, lead creation, and opportunity creation equally.
Many Redshift users already have years of historical event data. AttriByte can run attribution against the full history in a single initial query, giving teams a retrospective view of channel performance without any data re-collection.
Real-world scenario
Three years of Redshift event history, attributed overnight
A fintech company runs its entire data infrastructure on AWS. Marketing events arrive via Kinesis Firehose into Redshift. CRM data syncs nightly from Salesforce via a custom Lambda. The team has three years of historical event data and a strict data-governance process for every vendor.
Their previous attribution tool required a daily CSV export to an external S3 bucket controlled by the vendor, with no clear ownership or deletion path. The compliance team blocked the integration.
AttriByte connects with a read-only user — no S3 export pipeline to build — and processes data in a managed, isolated environment with full ownership, export, and deletion. The team had a clear data-handling story for governance and attribution on three years of history shortly after connecting.
See the full product overview and pricing to understand what plan fits your team.
Other warehouses
AttriByte connects to every major warehouse
Snowflake is live today. Redshift, BigQuery, and Postgres connectors are in early access — the same attribution engine across all four.
Snowflake attribution
Live today — run attribution on your Snowflake data.
BigQuery attribution
Early access — connect your Google BigQuery datasets.
Postgres attribution
Early access — use any Postgres-compatible database.
Learn more about the overall warehouse-native attribution approach.
FAQ
Redshift attribution: common questions
- Where does AttriByte process my Redshift data?
- AttriByte connects over an encrypted connection with a read-only user and ingests the events it needs into a managed, isolated, encrypted environment to compute attribution. Your cluster stays the source of truth, you can export or delete your data anytime, and no UNLOAD to S3 is required.
- What Redshift permissions does AttriByte need?
- A read-only user with SELECT on the schemas you choose. No superuser, write, or CREATE TABLE permissions are required.
- Does AttriByte work with Redshift Serverless?
- Yes. Both Redshift Provisioned and Redshift Serverless are supported. For Serverless, you configure access via the namespace endpoint the same way you would any SQL client.
- Can I use Redshift row-level security with AttriByte?
- Yes. If you apply row-level security policies to restrict what the AttriByte read-only user can see, AttriByte works within those constraints automatically.
- How long does the initial historical attribution run take?
- For a typical 12-month history with around 10 million events, the initial run completes in minutes after ingestion, and incremental refreshes run quickly thereafter.
- Is the Redshift connector available yet?
- The Redshift connector is in early access; Snowflake is live today. Join the early-access list and we will get you set up. All six attribution models are included across plans.
Connect your Redshift cluster today
Start a 14-day free trial and run marketing attribution on your existing Redshift data. No pipeline or S3 export required.