Leadoku is a leading platform for streamlining lead generation and management processes through advanced analytics and automation.
Transform your lead management with AI Agents that can intelligently qualify and engage prospects.
Leadoku excels at lead scoring and management through data analytics. Relevance AI enhances this with intelligent AI Agents that can automatically qualify, engage, and nurture leads at scale.
Intelligent Lead Prioritization
The agent can analyze lead data to prioritize outreach based on conversion potential.
Dynamic Engagement Strategies
Utilizes real-time insights to tailor interactions, enhancing customer relationships.
Automated Qualification Processes
Streamlines lead qualification by assessing criteria automatically, saving valuable time.
Relevance AI gives you access to Leadoku's lead management capabilities within your AI-powered workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Leadoku account
- A Relevance AI account with access to your project settings
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration leverages secure OAuth authentication, ensuring only authorized workflows access your Leadoku data. Relevance AI manages API operations seamlessly in the background while handling request validation, response formatting, and proper authentication headers.
Built-in error handling and data transformation ensure reliable execution across all supported HTTP methods.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
Best Practices for Non-Technical Users
To get the most out of the Leadoku + Relevance AI integration without writing code:
- Configure API authentication: Ensure proper OAuth setup and permission scopes are granted.
- Structure API requests: Use consistent endpoint paths and proper HTTP methods for each operation.
- Validate response data: Check status codes and response bodies to ensure successful API calls.
- Handle rate limiting: Implement appropriate delays between requests to stay within API quotas.
- Monitor integrations: Regularly check API logs and response patterns for optimal performance.
