Redbird AI syncs your Klaviyo campaign performance, customer engagement, and revenue attribution data directly into Looker dashboards. Stop exporting CSVs, manually joining tables, or waiting for engineering to update your marketing data model.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically pull Klaviyo email and SMS campaign metrics—opens, clicks, conversions, revenue—into your data warehouse and surface them in Looker dashboards. Keep marketing performance data fresh alongside your product and sales metrics without manual exports.
Merge Klaviyo's campaign attribution data with order tables in your warehouse to calculate true marketing ROI. Redbird automatically maps campaign IDs to transactions and refreshes Looker explores so your team always sees up-to-date attribution.
Stream Klaviyo flow engagement data—welcome series, abandonment flows, post-purchase sequences—into Looker for cohort analysis and funnel visualization. Track where customers drop off and which automated sequences drive the highest lifetime value.
Monitor audience size and composition in Looker dashboards built from warehouse data. When segments shrink unexpectedly or targeting criteria produce unusual cohorts, Redbird triggers notifications so teams can investigate before campaigns launch to the wrong audience.
Calculate predictive scores and customer segments in your data warehouse using Looker's modeling layer, then push those enrichments back to Klaviyo profiles. Enable marketers to trigger campaigns based on warehouse-derived insights without SQL knowledge.
Continuously sync Klaviyo's campaign and engagement history into your data warehouse for retention beyond platform limits. Build year-over-year comparisons and multi-year trend analyses in Looker without hitting API rate limits or losing historical context.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Klaviyo and Looker 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 both Klaviyo's event-based marketing data model and Looker's LookML semantic layer, automatically mapping campaign metrics to your warehouse schema.
Redbird recognizes Klaviyo's nested event structures—campaign sends, opens, clicks, conversions—and intelligently flattens them into warehouse-optimized tables. It reads your existing LookML definitions to join campaign data with customer, product, and transaction tables, maintaining metric consistency across your entire analytics stack. When Klaviyo schema changes or new event properties appear, Redbird detects them and suggests LookML updates, keeping your Looker explores current without manual data model maintenance.
faster than building custom ETL pipelines to sync Klaviyo data into your warehouse for Looker reporting
Redbird can pull from Klaviyo and Looker 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 Klaviyo or Looker.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Klaviyo into Looker, or from Looker back into Klaviyo. 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 campaign events in Klaviyo or data insights surfaced in Looker dashboards—Redbird connects them both ways.
Triggered when a Klaviyo email or SMS campaign completes delivery to a segment.
Triggered when an automated flow hits a specific engagement rate, conversion count, or revenue milestone.
Triggered when a Klaviyo segment grows or shrinks beyond a defined percentage or absolute count.
Add or modify custom properties on Klaviyo customer profiles based on warehouse calculations.
Assign Klaviyo profiles to specific segments based on data conditions from your warehouse.
Mark profiles as suppressed in Klaviyo when warehouse data indicates churn risk or service issues.
Triggered when a KPI in a Looker dashboard crosses a defined threshold—revenue drop, engagement spike, or anomaly detection.
Triggered when a Looker scheduled report finishes generating, delivering fresh data for downstream workflows.
Triggered when new records appear in a Looker explore, indicating fresh warehouse data ready for action.
Modify dimension or measure definitions in your LookML project to incorporate new data fields.
Trigger a rebuild of derived tables or persistent derived tables to reflect updated source data.
Deliver a Looker dashboard or Look to specific team members based on data conditions or automation triggers.
See how Redbird AI syncs Klaviyo campaign data into Looker dashboards automatically. Stop manually exporting marketing metrics and start building unified analytics across your entire customer journey.