Solutions
Paradime for Growth Teams
Model campaign, funnel, and attribution data in dbt™. Refresh it on schedule and sync it back to the campaign tools. Use DinoAI agent get scheduled insights.
#growth
Priya@Paradime why did paid social CAC jump?
- Queried mart_campaigns over five weeks
- Split the change by campaign
- Checked spend against conversions
Use Cases
What growth teams run on Paradime
From ad platform to attribution model to the audience sync back to the campaign tools.
Ingest
Bring every ad platform into the warehouse
Schedule Fivetran, Airbyte, or dlt syncs for Google Ads, Meta, LinkedIn, HubSpot, and Salesforce. DinoAI generates the sources and staging models from the landed schema.
Attribute
Versioned attribution model
First-touch, last-touch, and multi-touch logic lives in dbt™ models with tests, so channel numbers agree across every dashboard. A DinoAI agent keeps the data tests current.
Report
Agentic reporting
A scheduled agent queries the marketing marts and compares the week with the prior four. It flags channels that moved and posts the report to Slack before the team meeting.
Activate
rETL audiences
After each successful run, trigger Census or Hightouch syncs to HubSpot, Braze, Customer.io, or the ad platforms using Bolt.
Request
Data requests without the wait
A DinoAI agent turns a plain-language request into a well-formed ticket. Another agent picks it up, builds the model with tests, and opens the pull request.
Spend
Monitor cost
See the warehouse cost of every model and every dashboard in Radar, so you know when daily refreshes exceed the budget.
Customers
Why growth teams choose Paradime
Customer.io, Tide, and Lyst run their marketing and growth analytics on Paradime.
“First PR and I think I am in love 😊. Not only is the PR correct but DinoAI figured out that we needed an additional migration as part of the PR that I hadn't told it about. it figured out based on our past migration history in the repo. This is AWESOME!!!!”
Prompts
Ask DinoAI the growth questions
DinoAI reads your code base, warehouse schema, run logs, and lineage before it acts. Run these in the Code IDE, from Slack, on a Bolt schedule, or from Claude or Cursor through the MCP server.
Build a multi-touch attribution model
DinoAI reads the touchpoint and conversion tables and writes the model with a configurable lookback. It adds a test that credit sums to one and documents the methodology.
Try it in ParadimeBuild a multi-touch attribution model from stg_touchpoints and stg_conversions with a 30-day lookback and linear credit. Add a test that credit sums to one per conversion and document the methodology in the YAML.
Roles
Built for every role on the growth team
What each role gets out of Paradime and DinoAI.
One set of channel numbers feeds every dashboard
An agent writes a Friday report in Slack
Spend, leads, and CAC refreshed on a schedule you control
Trace any number on the board slide back to the ad platform
Trust
Built with zero-trust security
Security, deployment, and access controls that meet enterprise security requirements.
Enterprise security
SOC 2 Type II and GDPR. Single sign-on with Okta, Microsoft Entra ID, Google, and JumpCloud. IP allowlisting for the app, API, and CLI.
Deploy in your cloud
Run as managed SaaS, or deploy the Paradime data plane inside your own AWS, GCP, or Azure account with PrivateLink support.
Every agent action on the record
Agent session logs and traces are accessible. Paradime logs every run, change, and DinoAI action, and you can query them through the API. Store run artifacts in your own S3 bucket.
Agents propose, people approve
Agents ship changes as pull requests that run through CI like any other change. Admins manage warehouse access for DinoAI. Monthly credit budgets cap background agents per workspace, user, and agent.
Join industry leaders winning with DinoAI agents
Data engineers and analysts at the most AI-native startups and enterprises use Paradime's DinoAI agents everyday to become market leaders.