The messaging tool sees only part of the customer
Commerce, payment, product, CRM, and support records often use different identifiers or never reach the destination.
Lifecycle messaging data
Bring customer records together, create groups that stay current, and send approved attributes and events to the messaging tools your team already uses. Those tools still control content, consent, timing, and delivery.
High-intent repeat buyers
Recalculated from Foundry profiles
12,840
+6.4% this week
Group rules
Profile coverage
Why messages miss the mark
Personalization suffers when profiles are incomplete, lists are stale, customer records do not match, or calculated values have no clear meaning.
Commerce, payment, product, CRM, and support records often use different identifiers or never reach the destination.
A CSV is a snapshot that starts ageing immediately and hides the rules and source fields that produced it.
Email, user, device, checkout, and platform IDs can represent the same customer without a clear matching rule.
An LTV or churn score should not drive a campaign until its source data, quality, and intended use are understood.
A reliable customer-data process
Keep customer matching, group rules, consent, and the fields sent to each messaging tool clear and reviewable.
Bring the commerce, engagement, payment, CRM, and support fields required for the workflow into Foundry.
Use reliable identifiers and keep the records contributing to each customer profile visible.
Set inclusion, exclusion, consent, event, and calculated-value rules once for recurring use.
Preview sample profiles, confirm destination fields, and schedule supported delivery with visible run history.
How this looks in practice
The destination remains responsible for messaging. Vendo prepares the approved profile, group, and event data for the business model behind it.
Keep product, order, fulfillment, refund, and value fields available for post-purchase, replenishment, VIP, and win-back journeys.
Build consent-aware groups around onboarding, activation, plan, renewal, and risk milestones using approved customer and account fields.
Sync lead, account, product-usage, and lifecycle-stage context so nurture programs reflect the state recorded across CRM and product systems.
Common starting points
Replace one recurring CSV or fragile list rule with a customer group that updates from current data.
Combine inactivity, purchase history, and approved churn rules into a group your messaging tool can use.
Define high-value customers using transparent LTV and purchase rules rather than a one-off spreadsheet.
Make supported order, product, fulfillment, and refund attributes available for existing journeys.
Build a live group from recent product behavior, profile context, and messaging eligibility.
Works with your stack
Available fields, events, profile mappings, history, and delivery frequency vary by destination and account permissions.
Browse integrationsBuilt for the people doing the work
Give campaign operators richer customer context while keeping data definitions and delivery health visible to operations and analytics teams.
Give existing email, SMS, push, and in-app workflows richer customer context without rebuilding lists by hand.
Use the same customer, revenue, and behavioral definitions across acquisition analysis and lifecycle messaging.
Use a consistent approach to customer definitions, group rules, and the fields sent across client workspaces.
Example workflows
Each workflow page explains the supported direction, mappings, identity requirements, and checks that should happen before production use.