Which attribution model does it use?

Yours. First touch, last touch or your own weighting is a definition in the ontology, reviewed like code, so marketing, sales and finance count pipeline the same way.

Can it use our ad platform data?

Yes, once it lands in your warehouse — Snowflake, BigQuery, Redshift or Databricks — where Google, Meta and LinkedIn spend is usually synced already. HubSpot, Salesforce, Segment and Amplitude connect directly.

Does customer data leave our environment?

No. TextQL runs in your cloud account or air-gapped, queries your systems in place under the roles you already manage, and logs every query with the person or agent that ran it.

Who decides what counts as an MQL?

Your team does. Stages, sources and attribution rules live in the ontology as reviewed, versioned files in your own repository, so every report and every agent uses the same ones.

/ solutions / marketing & growth

TextQL for Marketing & Growth Credit the Pipeline, Not the Click

Every touch joined to the CRM, account by account — so each channel is credited with the pipeline it actually moved, not the clicks it reports.

Book a demo Explore solutions

in production at Scale AI

soc 2 type iiruns in your cloudevery query logged

An AI-Powered Operating System for Marketing & Growth

Put funnels, attribution, segments and spend on one ontology of your campaigns, leads and accounts — and let every marketer ask it directly, from numbers sales and finance already trust.

Connected solutions + automations

- Stage conversion
- Speed to lead
- Stalled MQLs
- Multi-touch credit
- Sourced vs influenced
- Channel mix
- Usage + firmographics
- Lookalike accounts
- Audience write-back
- CAC by channel
- Payback period
- Budget pacing

[ growth analytics in production ]

Scale AI’s growth team picked Ana up for campaign analysis — one of four business units answering their own questions through one semantic layer.

of Scale’s dbt code reviewed by Ana

>50%
rows across tables handled in production

1.9T
organic monthly adoption

+74.9%
Read the Scale AI story

[ your first answer ]

Bring the Campaign You Can’t Prove Worked

Pick one — a channel you’re about to cut, a campaign every platform claims, a funnel stage that stalled. We connect inside your cloud and show your team the pipeline it touched, the SQL and the definition behind it.

Book a demo Talk to an expert

01 Pick the question A 30-minute call to choose the question and the systems behind it
02 Connect in your cloud We connect inside your cloud — CRM, marketing automation and the warehouse, read in place
03 Check the pipeline Your team checks the answer against the opportunities and touches it came from

questions marketing teams bring first

Where did MQL-to-SQL conversion drop this quarter? Pipeline & Conversion Funnels
Which campaigns sourced pipeline that actually closed? Campaign Attribution
Which accounts look like our best customers but haven’t bought? Customer Segmentation
What was blended CAC by channel last quarter? Marketing Spend Efficiency

[ the platform ]

The Platform, in Your Team’s Terms

Three layers, one deployment. Each is a page of its own when your ops team wants the detail.

/ connectors Every Tool in Your Stack HubSpot, Salesforce, Segment, Amplitude and the warehouse your ad spend lands in — read in place, never copied out. / ontology One Definition of Pipeline MQL, sourced pipeline and CAC defined once, as reviewed files in your repo — marketing, sales and finance count the same way. / agents Reports That Run Themselves Agents send the Monday funnel, flag a program pacing over budget and answer the board’s attribution question — every query logged.

[ security ]

Built to Pass Your Security Review

SOC 2 Type II Audited annually. The report is available on request through the trust center.

Your Permissions, Enforced Row-level access from your CRM and warehouse carries through, so a regional team sees its own pipeline and no one else’s.

Your Cloud, or Air-Gapped Deploy in your VPC or fully disconnected. Contact and customer data never leaves your environment.

Never Trained on Your Data Your customer lists, campaigns and spend are not used to train models — ours or anyone else’s.

/ soc 2 type ii/ hipaa/ gdpr/ your vpc or air-gapped

Visit the trust center

[ faq ]

What Teams Ask Before They Start

Talk to the team

No. TextQL reads the data those tools already produce — the CRM, marketing automation, product events and the ad spend in your warehouse — and answers the cross-system questions they weren’t built to ask.

[ try textql ]