Data & intelligence

DataMind

Your entire search dataset, queryable — in the platform, in your warehouse, or through the API.

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Warehouse sync
SQL access
Full history

The problem

What usually goes wrong

The patterns we see most often before teams move onto AASEO.

Data trapped in the tool

You can see it on screen but cannot blend it with anything else you own.

Sampled and rolled up

History thinned over time, so year-on-year analysis is impossible.

Export by CSV

Analysis depends on someone remembering to download a file each month.

No row-level access

Aggregates only, so you cannot answer a question the vendor did not anticipate.

Metered exports

Every additional question carries a cost, so fewer questions get asked.

No modelling layer

Nowhere to encode your own definitions of value and priority.

Outcomes

What changes

Access

Row-level

access to every metric

No sampling, no rollups

History

Unlimited

history retention

For the life of the account

Pipeline

2-way

warehouse sync

Snowflake and BigQuery

Pricing

export charges

Unmetered on every plan

The approach

How we get there

01
Connect the warehouse

Snowflake or BigQuery, syncing on a schedule you control, in both directions.
02
Model your definitions

Encode your own value and priority logic and push it back into the platform.
03
Query anything

SQL against row-level data, or the REST API for programmatic access.

FAQ

Common questions

Is my data sampled?

No. DataMind exposes row-level records with no sampling and no historical rollup.

Can I push data back in?

Yes. Custom dimensions, value weightings and segment definitions can be written back from your warehouse.

Get started

Let's talk about DataMind

Thirty minutes with a strategist who has run this exact motion before.