Sync TikTok Ads campaign data into Looker for unified reporting, or push audience segments and conversion events back to optimize ad performance. Stop manually exporting CSVs, rebuilding attribution models in spreadsheets, and waiting days for campaign performance insights.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Pull ad spend, impressions, video views, and conversion data from TikTok Ads into your data warehouse, then surface it through Looker's LookML models. Keep executive dashboards and cross-channel reports up-to-date without manual exports or ETL scripting.
Identify user cohorts in Looker based on product usage, lifetime value, or behavioral patterns, then automatically create or update TikTok custom audiences for retargeting. Turn your data warehouse into a real-time audience engine without developer involvement.
Merge TikTok Ads performance data with Google Ads, Meta, and organic traffic in a single Looker dashboard. Redbird keeps metric definitions consistent across ad platforms and automatically reconciles campaign IDs, UTM parameters, and conversion windows.
Monitor TikTok campaign metrics in Looker and trigger Slack or email alerts when CPA exceeds thresholds, video completion rates drop, or spend pacing falls behind. Surface anomalies defined in LookML without building custom monitoring infrastructure.
When users convert from TikTok ads, send downstream product usage, subscription tier, or actual revenue data back to TikTok's conversion API. Optimize TikTok's algorithm with true business outcomes, not just click-through conversions.
Generate scheduled Looker reports that include TikTok Ads performance alongside other marketing channels, then distribute via email or Slack. Redbird ensures TikTok data is refreshed before report generation and handles formatting across platforms.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Looker and TikTok Ads 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 Looker's LookML semantic layer and TikTok Ads' campaign structure, so you can sync metrics, audiences, and conversion events without writing custom integrations.
Redbird maps TikTok Ads' campaign, ad group, and creative structure to Looker dimensions and measures automatically. It recognizes LookML model definitions, derived tables, and explores, then aligns them with TikTok's metrics API—handling timestamp conversions, attribution windows, and metric aggregation rules. When you push audiences from Looker, Redbird translates user identifiers (emails, device IDs) into TikTok's audience format and manages incremental updates without duplicating records.
faster than building custom ETL for TikTok Ads and maintaining LookML transformations
Redbird can pull from Looker and TikTok Ads 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 Looker or TikTok Ads.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Looker into TikTok Ads, or from TikTok Ads back into Looker. 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 workflows from Looker query results, scheduled Looks, or TikTok campaign events—Redbird handles the rest.
Trigger workflows when a Looker Look finishes running on its schedule, with full result data available.
Start automations when a Looker query returns values above or below defined benchmarks.
Detect when fresh data lands in a Looker Explore, signaling downstream systems to refresh.
Programmatically add dimensions to LookML models based on external system changes.
Push Looker query output to data warehouses, CSVs, or downstream tools automatically.
Trigger rebuilds of persistent derived tables in Looker when source data updates.
Trigger when a TikTok campaign's daily or lifetime spend crosses predefined limits.
Detect when video completion rate, CTR, or engagement metrics fall outside normal ranges.
Start workflows when TikTok tracks a conversion, with full event and attribution data.
Build TikTok custom audiences from user lists, syncing audience membership changes automatically.
Push post-click conversion data to TikTok's Events API to improve attribution and optimization.
Automatically stop campaigns when performance, budget, or external conditions trigger rules.
Sync Looker and TikTok Ads in minutes. Build closed-loop attribution, audience syncs, and unified dashboards without custom ETL or manual CSV exports.