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Vendo

Foundry

Make your data ready to use.

Foundry brings your customer, campaign, product, and revenue data together. It applies the same rules everywhere and catches problems before they reach a report, Agent, or marketing tool.

Shopify
Stripe
Google Ads
Meta Ads
HubSpot
Google Analytics
Vendo
Foundry
BigQuery
Mixpanel
Customer.io
Segment
TikTok
OneSignal

The foundation

Unified Data Operations

Foundry handles the preparation and checks required before your team can trust a report, answer a question, or send data to another tool.

01

Bring every useful source together

Connect the advertising, commerce, CRM, analytics, payment, warehouse, and first-party data your team needs to see the whole business.

02

Store it where you choose

Start quickly with Vendo-managed storage or connect your own warehouse when your team needs direct ownership and access.

03

Model the business consistently

Turn different source formats into consistent customers, campaigns, products, orders, revenue, and events that every team can use.

04

Validate before anyone relies on it

Catch late, missing, changed, duplicated, or unexpected data before it reaches a report, Agent answer, or marketing platform.

05

Define every metric once

Agree how revenue, customers, channels, attribution, and customer groups are counted, then reuse the same meaning everywhere.

Advertising, commerce, CRM, and analytics data flow through Foundry into Insights, Agent, and Activation.

Inside the workspace

See where the data came from and what it means.

Connections and consistent customer, campaign, order, and revenue records stay visible together.

Synthetic Vendo Foundry workspace showing connected sources and documented customer, event, order, and campaign entities.
Illustrative Vendo workspace using synthetic ecommerce data.

01 · Integrate

Bring the data you need into one place.

Use guided connectors for the tools you already run, collect first-party events, and keep a clear record of how data enters Foundry.

Review all integrations

600+ listed sources

Connect advertising, analytics, commerce, CRM, payments, messaging, files, and databases.

Current data and available history

Keep data fresh on a schedule and backfill history when the source supports it.

First-party tracking

Collect browser and server events with campaign, click, session, and customer context.

Connection history and failures

See connection settings, past runs, failures, and the data each source contributes.

02 · Store

Keep the warehouse choice in your hands.

Start with Vendo-managed storage or connect your own BigQuery. Foundry keeps the preparation and business logic consistent across both approaches.

Vendo-managed

Get started without operating a warehouse. Vendo manages the storage and processing environment.

Fastest start

Your warehouse

Connect your BigQuery project when infrastructure ownership and direct warehouse access matter.

Bring your own

03 · Model

Model the business—not each source system.

Foundry turns different source formats into consistent customers, campaigns, orders, and revenue records. It then links customer identities and applies the rules your team uses to understand performance.

Customer identity

Link visits, signups, purchases, and CRM records that belong to the same customer, with the matching records visible.

Consistent business records

Standardize customers, events, campaigns, products, orders, and revenue across source systems.

Attribution and channel rules

Set channel groupings, attribution methods, and lookback windows once for every downstream use.

Metrics and customer groups you can reuse

Define CAC, ROAS, LTV, conversion metrics, and customer groups without rebuilding the logic.

04 · Validate

Know the data is healthy before you use it.

Foundry watches freshness, volume, structure, completeness, and business rules so broken inputs do not quietly become confident answers.

Recency and volume

Detect late data, missing periods, unexpected drops, and unusual spikes.

Schema and structure

Catch missing fields and structural changes before downstream models fail.

Validation rules

Apply built-in and custom expectations to the data your business relies on.

Visible issues

Review failures in Vendo and notify the right people when intervention is required.

Foundry health

Orders and revenue model

Healthy
FreshnessCurrent01
Completeness99.8%02
SchemaValid03
Business rulesPassing04

05 · Define

Give every tool the same business meaning.

Agree how Vendo should count customers, channels, attribution, metrics, and customer groups. The same rules are then used in reports, Agent answers, and outgoing data.

Operational control

See problems before they reach a report.

Foundry shows the rules behind your numbers, when sources last updated, customer matching issues, failed checks, run history, and whether data is ready to use.

Catalog and dictionary

Keep customers, campaigns, orders, fields, definitions, owners, and where the data is used easy to find.

Freshness and schema changes

Review when a source last updated and surface structural changes before they break downstream work.

Identity conflicts

Inspect the identifiers contributing to a customer and hold conflicting records for review instead of forcing a match.

Quality rules

Check uniqueness, required values, accepted categories, source separation, and reconciled counts.

Run history and ownership

See which job ran, what changed, whether it failed, and who owns the next step.

Delivery readiness

Review approved fields, mappings, exclusions, and staging results before prepared data is activated.

FAQ

Frequently Asked Questions

Request Access

Check whether Vendo fits your current setup.

Bring the tools you use and one recurring data problem. We will explain what Vendo can handle, what setup is required, and any current limits.

Vendo mascot character illustration