Data Studio
Transform, Analyze, Predict, Visualize
One workspace for data work: SQL, Python, grouping rules, ML, and notebooks — alongside unified reports, AI-guided analysis, and scenario planning. Analysis that ends in a decision, not a dashboard.
The Analyze Step
Your Questions Shouldn't Wait in a Data Engineering Queue
Vendo follows one operational loop: Connect, Model, Analyze, Act. Once the Marketing Data Plane has connected and modeled your data, Data Studio is where you turn it into answers — and where those answers become inputs for Destinations.
Most teams split this work across five tools: a SQL client for queries, a notebook for exploration, a separate ML stack for predictions, a BI tool for reporting, and spreadsheets to glue it all together. Every hand-off loses context, and most analysis ends as a chart nobody acts on.
Data Studio puts all of it in one workspace, on one unified data foundation, with shared definitions — so the transformation you build today powers the report, the audience, and the conversion signal tomorrow.
One Workspace for Every Kind of Data Work
SQL, Python, grouping rules, ML, notebooks, and AI processing — all running on your unified data with shared definitions.
SQL Editor
Query your unified data directly, save transformations, and schedule them to run on your data — no exports, no copies, no waiting on data engineering.
Python Transformations
When SQL is not enough, write Python transformations for custom logic, enrichment, and scoring that run on the same unified data.
Grouping Rules
Rule-based grouping and auto-segmentation from unified profiles, transformation outputs, and behavior rules — define once, reuse everywhere.
ML & BQML
Purchase propensity, churn risk, and LTV prediction trained inside your warehouse with BQML. Decile-ranked outputs feed audiences and activation.
Interactive Notebooks
Interactive Python notebooks with browser-side execution for exploratory analysis that stays connected to your live data.
AI Row Processing
Apply AI to individual rows for classification and enrichment at scale — categorize products, score leads, or label support tickets in bulk.
Build With AI or Code Directly
AI assistance when you want speed. Full SQL and Python access when you want control. The same transformation layer either way.
Describe it in plain English
Tell the Agent what you need — "group our paid channels by funnel stage" or "score every customer for churn risk". It writes the SQL, validates the output, and schedules the transformation to run.
Write the code yourself
Full SQL and Python access when you want control. Edit anything the Agent creates, version your logic, and review exactly what runs before it runs.
Schedule and monitor
Every transformation has a run schedule, status, and history. See which are active, which need attention, and trace every output back to the logic that produced it.
Analysis That Ends in a Decision
Unified reports, AI-guided analysis, and scenario planning sit next to your transformations — so insight and execution share one workspace.
Unified Marketing Reports
Replace stitched spreadsheets with one reporting layer across revenue, attribution, performance, and signal quality — built on the same definitions everywhere.
AI-Guided Analysis
Ask questions in plain English and move from summary to detail. The Agent drives the analysis across your unified data and shows its working.
Scenario Planning
Compare channels and explore what-if questions around spend allocation and performance changes — before you commit the budget.
Decisions, Not Dashboards
Every analysis is built to produce a usable output: a report, an audience, a prediction, or a conversion signal. Outputs connect straight into Destinations.
Output Targets: Where Results Become Properties
Every transformation attaches its results to user, event, session, or account properties. Outputs flow into the Data Catalog and activation automatically — no exports, no glue code, no predictions stuck in a table.
User Properties
Attach propensity scores, LTV predictions, and churn tiers to customer profiles as calculated properties.
Event & Session Properties
Enrich events and sessions with channel groups, attribution credit, and classification outputs.
Account Properties
Roll outputs up to the account level for B2B workflows — health scores, lifecycle stage, and expansion signals.
Straight Into Activation
Outputs land in the catalog automatically and flow into audiences, conversion signals, and downstream syncs through Destinations.
Start From a Template
Attribution, LTV, Churn, and Propensity — Ready to Train
Pre-built transformation templates train on your data inside your warehouse, so the highest-value outputs go live first — then customize or extend them with AI or code.
Multi-Touch Attribution
First click, last click, linear, and participation models built on first-party data, with configurable lookback windows and deduplication. See which channels actually drive revenue — not what each platform claims.
Predicted LTV
Predict customer lifetime value inside your warehouse and feed it to ad platforms as conversion values for value-based bidding.
Churn Risk Scoring
Score every customer for churn risk and turn the tiers into audiences for win-back and retention campaigns in your messaging tools.
Purchase Propensity
Decile-ranked purchase likelihood for every customer — ready for bid adjustments, suppression lists, and lifecycle targeting.
FAQ
Frequently Asked Questions
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