Automatically sync Apollo prospecting activity, contact enrichment data, and engagement metrics into BigQuery. Stop manually exporting CSVs, writing fragile API scripts, or maintaining brittle pipeline code to analyze your sales intelligence data.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically capture opens, clicks, and reply events from Apollo sequences and load them into BigQuery tables. Join engagement data with opportunity records to build multi-touch attribution models that show which sequences actually drive pipeline.
Sync enriched contact and company data from Apollo into BigQuery alongside Salesforce, HubSpot, and product usage data. Create a single source of truth for prospect intelligence that powers advanced segmentation and scoring models.
Capture every contact touch, email sent, and call logged in Apollo and store it in BigQuery partitioned tables. Maintain full audit trails for compliance while enabling year-over-year analysis of outbound motion effectiveness across segments and territories.
When your BigQuery ML models identify high-intent accounts based on product usage, firmographic changes, or engagement patterns, automatically add contacts to targeted Apollo sequences. Let your data warehouse drive precision outbound prospecting at scale.
Run SQL-based scoring models in BigQuery that combine CRM data, product telemetry, and third-party signals, then push account and contact scores back into Apollo custom fields. Give SDRs data-backed prioritization without leaving their prospecting interface.
Stream Apollo activity logs, contact creation, and sequence metrics into BigQuery in real-time. Build Looker Studio dashboards that combine Apollo prospecting data with pipeline conversion metrics for complete funnel visibility from first touch to closed-won.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Apollo and BigQuery 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 Apollo's prospecting data model and BigQuery's schema conventions, so you can sync sales intelligence without wrestling with API docs or data transformation code.
Redbird automatically translates Apollo's nested contact objects, email activity arrays, and engagement events into normalized BigQuery schemas optimized for analytics. The AI handles field mapping between Apollo's enrichment data and your existing warehouse tables, manages incremental updates to avoid duplicates, and partitions time-series engagement data for cost-efficient querying. You describe what intelligence you need in your warehouse, and Redbird structures it correctly.
faster than building custom ETL for Apollo sales intelligence data
Redbird can pull from Apollo and BigQuery 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 Apollo or BigQuery.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Apollo into BigQuery, or from BigQuery back into Apollo. 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 any Apollo prospecting event or BigQuery query result, then take action across your entire sales and analytics stack.
Fires when a prospect is enrolled in any Apollo email or call sequence.
Triggers when a prospect replies to an automated Apollo email sequence.
Fires when Apollo enriches a contact record with verified email, phone, or company data.
Enroll a prospect into a specific Apollo email or call cadence based on data triggers.
Write data from BigQuery models back into Apollo custom fields for SDR context.
Add new accounts to Apollo or update existing records with enriched data from your warehouse.
Fires when a scheduled BigQuery SQL query identifies new records matching your criteria.
Triggers when new data is inserted or updated in a specified BigQuery table.
Fires when a BigQuery ML model scores an account or contact above your specified threshold.
Write Apollo contact, company, or engagement data into BigQuery tables with automatic schema mapping.
Execute SQL queries with dynamic parameters from Apollo events to update aggregations or trigger downstream processes.
Merge Apollo time-series activity data into partitioned BigQuery tables to maintain history without duplicates.
Start syncing Apollo prospecting data into BigQuery in minutes. Build the sales intelligence warehouse your RevOps team has been asking for, without writing pipeline code or managing infrastructure.