Sync your dbt-transformed customer data directly into Klaviyo segments and campaigns. Stop exporting CSVs, manually updating audience lists, and waiting for engineering to push marketing analytics into production.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When your dbt models recalculate customer lifetime value, propensity scores, or churn risk, automatically update the corresponding Klaviyo segments. Marketing always works from the latest analytics without waiting for data team updates or manual syncs.
Transform raw purchase and browse behavior in dbt, then sync enriched product recommendations and category affinities to Klaviyo profile properties. Enable hyper-personalized email content based on warehouse-grade analytics, not just Klaviyo's native tracking.
When analytics engineers build new cohort definitions in dbt—like high-AOV repeat buyers or lapsed subscribers—Redbird provisions matching segments in Klaviyo and syncs membership daily. No manual list management or audience upload workflows.
Compare actual Klaviyo campaign revenue against dbt-modeled projections. When performance drops below thresholds or specific segments underperform, notify analytics engineers to investigate upstream data quality or model assumptions.
Automatically pull Klaviyo campaign sends, opens, clicks, and revenue into your data warehouse, then trigger dbt runs to integrate them with attribution models. Build a single source of truth for marketing performance without manual metric collection.
Combine dbt customer segmentation logic with Klaviyo email engagement metrics to produce automated cohort health reports. See which analytically-defined segments have the highest email LTV, best engagement rates, and strongest retention—without spreadsheet joins.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize dbt and Klaviyo with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands both dbt's dimensional model structure and Klaviyo's profile schema, so you can sync warehouse-transformed customer data into marketing segments without custom ETL pipelines.
Redbird parses your dbt project metadata to understand fact and dimension tables, then intelligently maps customer attributes to Klaviyo profile properties and list memberships. When you refactor models or add new custom properties, Redbird adapts the sync logic automatically—no hardcoded field mappings to maintain. The platform recognizes common e-commerce patterns like customer scoring tables, product affinity matrices, and lifecycle stage definitions, translating them into actionable Klaviyo segments.
faster than building Reverse ETL pipelines to sync dbt models into Klaviyo
Redbird can pull from dbt and Klaviyo simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either dbt or Klaviyo.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from dbt into Klaviyo, or from Klaviyo back into dbt. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from dbt model runs or Klaviyo campaign events—Redbird connects both systems in either direction.
Trigger when a specific dbt model finishes running successfully in your warehouse.
Fire when data quality tests fail on customer-facing models that feed marketing.
Detect when source data feeding customer segmentation models becomes stale.
Pull latest records from a dbt-built customer scoring or cohort table.
Kick off a dbt Cloud job to refresh models on-demand when Klaviyo needs fresh data.
Programmatically document which Klaviyo segments depend on specific dbt models.
Trigger when a Klaviyo email or SMS campaign finishes sending to a segment.
Fire when profiles enter or exit a specific Klaviyo segment based on behavior or properties.
Detect when an automated flow hits revenue, conversion, or engagement targets.
Sync calculated fields from dbt models into Klaviyo custom profile properties.
Bulk-add customers to Klaviyo segments based on dbt-defined cohort membership.
Provision new Klaviyo lists automatically when dbt models define new audience segments.
Stop manually syncing customer data between your warehouse and marketing platform. Let Redbird connect dbt and Klaviyo so your campaigns always run on the freshest analytics.