Explore our built-in
integrations
Matr lets your CRM and marketing teams build, interrogate, and pilot the upsell and cross-sell logic that grows each customer's value, without the blanket pushes that erode trust.
Klaviyo
Marketing & Ads
Meta Ads
Marketing & Ads
Google Ads
Marketing & Ads
Looker
BI Tools
Metabase
BI Tools
Power BI
BI Tools
Tableau
BI Tools
DBT Labs
Modern Data Stack
Airflow
Modern Data Stack
Fivetran
Modern Data Stack
Microsoft Teams
Activation & Alerting
Slack
Activation & Alerting
Partoo
CRM & Sales
Hubspot
CRM & Sales
Salesforce
CRM & Sales
DuckDB - MotherDuck
Warehouses
Databricks
Warehouses
Redshift
Warehouses
PostgreSQL
Warehouses
Big Query
Warehouses
Questions we hear most.
Every month you spend building ML in-house is a month your competitors spend shipping predictions.
Do I need a data scientist to use Matr?
No. That's the whole point. Your data analyst describes the business question in natural language — Matr handles the ML pipeline.
What types of models can I build?
Classification (churn, scoring, segmentation), regression (revenue forecast, demand planning), and time-series forecasting. Matr selects the best approach based on your data.
How accurate are the models?
It depends on your data quality, but Matr shows you accuracy metrics, baseline comparison, and confidence scores so you can make an informed decision. Typical results: 75-95% accuracy on well-structured data.
Where does my data stay?
In your warehouse. Matr connects to your Snowflake, BigQuery, or PostgreSQL. No data is moved or duplicated.
Can I integrate predictions into my existing tools?
Yes. Via REST API, direct warehouse write-back, or scheduled exports. Predictions flow into your CRM, ERP, spreadsheet — wherever your team works.
What happens if the model's performance degrades?
Matr monitors model drift continuously. When performance drops below threshold, it flags the issue and can trigger automatic retraining.
For more questions, feel free to contact us