Send ActiveCampaign data to AI, reports, spreadsheets and ETL

Kondado provides direct access to 29 distinct data pipelines containing 644 fields from ActiveCampaign, covering accounts, contacts, deals, campaigns, tasks, custom field metadata, and user groups without requiring any coding or API management.

Marketing operations teams can leverage this data to build sophisticated attribution models tracking how contacts move through pipelines and interact with specific campaigns over time. Sales leaders benefit from analyzing deal velocity, task completion rates, and secondary contact relationships to optimize their CRM processes and improve forecast accuracy. Data analysts can combine ActiveCampaign analytics with financial, product, or advertising data to calculate true customer acquisition costs, lifetime value, and marketing channel effectiveness across the entire business stack.

The Kondado platform takes care of refreshing ActiveCampaign data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing ActiveCampaign data with AI (Claude, ChatGPT and MCP) or in your report, spreadsheet, data warehouse, data lake, or database

The following data pipelines enable comprehensive extraction of your ActiveCampaign information for advanced business intelligence. Analyze campaign effectiveness using the Campaigns and Campaigns: Messages pipelines to track open rates and content performance across different audience segments. The Contacts and Contacts: Tags pipelines reveal how segmentation strategies correlate with deal progression and revenue outcomes, while the Deals and Deals: Activities pipelines provide granular visibility into sales pipeline health, team productivity, and stage conversion metrics. For account-based marketing strategies, the Accounts and Accounts: Custom Fields (Data) pipelines deliver crucial insights into organizational hierarchies, account scores, and bespoke firmographic attributes that drive enterprise sales cycles. By joining the List Contacts pipeline with Contacts: List Activity, you can measure engagement trends and churn patterns across subscriber segments, while combining Pipelines with Deals data reveals specific conversion bottlenecks and average time spent at each sales stage. With automated updates on a configurable schedule ranging from every 5 minutes to daily, you can monitor these marketing and sales KPIs continuously without manual data exports or stale reporting slowing your decision-making.