AAlex
What was the ROI from last week's campaigns?
AI-Native Marketing Operations Software
Connect sources, model attribution and LTV, sync audiences and conversion signals, and review AI recommendations before anything changes.
Trusted by growth teams at
“Our investment has already paid off 10x.” — Rachman Blake, Founder, StoryParty
The Problem
Fragmented data delays reporting, budget decisions, and campaign changes. Vendo becomes the marketing data plane under your stack so each team works from the same source data, definitions, and sync logic.
Customer data is scattered across your website analytics, ad platforms, CRM, ecommerce system, payment provider, email tool, and probably a few spreadsheets. Each one stores data differently with different event names, different user identifiers, and different definitions of what a conversion even means.
Before you can analyze performance or act on it, someone has to export, clean, reconcile, and stitch all of this together. That process is slow, fragile, and usually held together by one person who built the spreadsheet.
The marketing data plane is the Model step of Vendo's operating loop — Connect, Model, Analyze, Act. It connects directly to your data sources, maps the data into unified business objects, and gives you a single, consistent foundation that your team, your tools, and your AI all work from.
Traditional stack
ETL + reporting tool + attribution app + spreadsheets + ad platform dashboards
With Vendo
One flow: Connect → Model → Analyze → Act
How It Works
Connect your tools, clean the data, build outputs, and sync them back.
Connect
Bring ads, analytics, CRM, commerce, payments, and warehouse data into one place.
Model
Resolve identity, attribution, LTV, and metrics into one shared model.
Analyze
Use the same definitions for reports, audiences, and predictions.
Act
Send conversions, audiences, and traits back to the tools your team uses.
Use Cases
Start with one workflow, then expand.
Integrations
Connect the tools you use. Send clean outputs back where work happens.
Storefronts and payments.
Warehouses, sheets, and files.
Conversions and audiences.
Profiles and segments.
Clean events and traits.
Shared context for assistants.
Book a Discovery Call
Review your stack, data gaps, and highest-value use case.