Redbird AI syncs your BigQuery data warehouse with Klaviyo marketing automation so you can segment audiences with complete customer data and trigger campaigns from warehouse insights. Stop exporting CSV files, manually updating segments, or waiting on engineering to build custom sync pipelines.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically push CLV calculations, predictive scores, and custom analytics from your data warehouse into Klaviyo customer profiles. Keep high-value segments updated in real-time without manual exports. Trigger VIP campaigns based on warehouse-computed metrics that factor in offline purchases, support interactions, and subscription data.
Combine Shopify, in-store POS, subscription platform, and marketplace order data stored in BigQuery into unified Klaviyo customer profiles. Segment based on total customer value across all channels, not just web purchases. Build suppression lists for customers who recently bought in-store to avoid redundant promotional emails.
Use BigQuery inventory predictions and product usage models to automatically trigger Klaviyo replenishment flows at optimal times. Send 'time to reorder' emails based on calculated consumption rates for consumable products. Adjust campaign timing dynamically as warehouse models update with new purchase behavior.
Stream email opens, clicks, conversions, and SMS engagement from Klaviyo into your BigQuery data warehouse automatically. Join campaign performance with customer demographics, product margins, and attribution models. Build unified marketing dashboards that combine Klaviyo, Meta, Google Ads, and offline channel data in a single analytics layer.
Run churn prediction models on complete customer data in BigQuery, then automatically create and update at-risk segments in Klaviyo. Trigger win-back flows when customers cross churn probability thresholds. Update segment membership daily as models re-score based on fresh behavioral signals and engagement patterns.
Feed attribution insights computed in BigQuery back into Klaviyo to adjust campaign triggers and suppression logic. Identify which email flows drive incremental revenue versus cannibalizing organic purchases. Suppress flows for customer segments where warehouse analysis shows negative incremental lift to improve overall marketing efficiency.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery 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 AI understands BigQuery table schemas and Klaviyo's event-based profile structure, so you can map warehouse analytics to marketing segments without custom ETL pipelines.
Redbird automatically detects customer identifiers, metric columns, and nested JSON fields in your BigQuery tables, then maps them to Klaviyo custom properties and segments. The AI understands data types, handles timestamp conversions between systems, and reconciles differences in how each platform represents customer attributes. Whether you're syncing computed scores from dbt models or raw event tables, Redbird structures the data for Klaviyo's profile and list architecture without manual field mapping.
faster than building custom Python scripts to sync warehouse data to Klaviyo
Redbird can pull from BigQuery 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 BigQuery 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 BigQuery into Klaviyo, or from Klaviyo back into BigQuery. 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 warehouse query results or Klaviyo campaign events, then take action in either system.
Trigger when a scheduled BigQuery query identifies new high-value customers, churn risks, or segment changes.
Detect when dbt runs complete or new data lands in customer analytics tables from upstream pipelines.
Fire when aggregated metrics like daily active users, conversion rates, or inventory levels hit specified values.
Execute BigQuery SQL with dynamic parameters from Klaviyo events to fetch customer context or compute metrics on-demand.
Write Klaviyo campaign engagement events, profile updates, or SMS responses into BigQuery fact tables for analysis.
Merge Klaviyo subscriber status changes and preference updates into BigQuery customer dimension tables using email as key.
Trigger when custom properties like subscription status, loyalty tier, or engagement score change in a Klaviyo profile.
Detect when customers enter or exit key segments like VIP, at-risk, or recent purchasers for downstream analysis.
Fire when specific email flows finish, campaigns send, or SMS sequences complete to capture performance data.
Sync customer records, computed scores, and warehouse-derived attributes into Klaviyo profiles using email or customer ID.
Update Klaviyo list membership based on BigQuery segment calculations, churn models, or cross-channel purchase patterns.
Start personalized Klaviyo email or SMS flows when BigQuery models identify replenishment timing, upsell opportunities, or winback moments.
Redbird AI syncs BigQuery and Klaviyo so your marketing team can segment on complete customer data while your analytics stay unified. No custom scripts or pipeline maintenance required.