Back to Use Cases

Crunchbase Unlocks $200K Influenced Outbound Pipeline

Crunchbase’s RevOps team struggled to scale outbound outreach while keeping the lean headcount. Manual sequencing and disparate tools caused delays, low personalization, and missed intent signals, lim

📌Key Takeaways

  • 1Crunchbase Unlocks $200K Influenced Outbound Pipeline addresses: Crunchbase’s RevOps team struggled to scale outbound outreach while keeping the lean headcount. Manu...
  • 2Implementation involves 4 key steps.
  • 3Expected outcomes include Expected Outcome: Generated over $200,000 of influenced outbound pipeline in eight months and nearly $60,000 of closed‑won revenue, achieving a 6× ROI and freeing 100+ hours of GTM team time per month..
  • 4Recommended tools: regieai.

The Problem

Crunchbase’s RevOps team struggled to scale outbound outreach while keeping the lean headcount. Manual sequencing and disparate tools caused delays, low personalization, and missed intent signals, limiting pipeline generation.

The Solution

Regie.ai’s Auto‑Pilot agents were configured to run nine parallel agents that sourced, enriched, and prioritized prospects using real‑time intent from Crunchbase’s own data. The AI generated bespoke email copy, scheduled calls via the AI Dialer, and updated the CRM automatically. Human reps only intervened on warm leads, handling calls and closing deals.

Implementation Steps

1

Understand the Challenge

Crunchbase’s RevOps team struggled to scale outbound outreach while keeping the lean headcount. Manual sequencing and disparate tools caused delays, low personalization, and missed intent signals, limiting pipeline generation.

Pro Tips:

  • Document current pain points
  • Identify key stakeholders
  • Set success metrics
2

Configure the Solution

Regie.ai’s Auto‑Pilot agents were configured to run nine parallel agents that sourced, enriched, and prioritized prospects using real‑time intent from Crunchbase’s own data. The AI generated bespoke email copy, scheduled calls via the AI Dialer, and updated the CRM automatically. Human reps only int

Pro Tips:

  • Start with recommended settings
  • Customize for your workflow
  • Test with sample data
3

Deploy and Monitor

Implement the solution in your environment and monitor results.

Pro Tips:

  • Start with a pilot group
  • Track key metrics
  • Gather user feedback
4

Optimize and Scale

Refine the implementation based on results and expand usage.

Pro Tips:

  • Review performance weekly
  • Iterate on configuration
  • Document best practices

Expected Results

Expected Outcome

3-6 months

Generated over $200,000 of influenced outbound pipeline in eight months and nearly $60,000 of closed‑won revenue, achieving a 6× ROI and freeing 100+ hours of GTM team time per month.

ROI & Benchmarks

Typical ROI

250-400%

within 6-12 months

Time Savings

50-70%

reduction in manual work

Payback Period

2-4 months

average time to ROI

Cost Savings

$40-80K annually

Output Increase

2-4x productivity increase

Implementation Complexity

Technical Requirements

Medium2-4 weeks typical timeline

Prerequisites:

  • Requirements documentation
  • Integration setup
  • Team training

Change Management

Medium

Moderate adjustment required. Plan for team training and process updates.

Recommended Tools

Frequently Asked Questions

Implementation typically takes 2-4 weeks. Initial setup can be completed quickly, but full optimization and team adoption requires moderate adjustment. Most organizations see initial results within the first week.
Companies typically see 250-400% ROI within 6-12 months. Expected benefits include: 50-70% time reduction, $40-80K annually in cost savings, and 2-4x productivity increase output increase. Payback period averages 2-4 months.
Technical complexity is medium. Basic technical understanding helps, but most platforms offer guided setup and support. Key prerequisites include: Requirements documentation, Integration setup, Team training.
AI SDR augments rather than replaces humans. It handles 50-70% of repetitive tasks, allowing your team to focus on strategic work, relationship building, and complex problem-solving. The combination of AI automation + human expertise delivers the best results.
Track key metrics before and after implementation: (1) Time saved per task/workflow, (2) Output volume (crunchbase unlocks $200k influenced outbound pipeline completed), (3) Quality scores (accuracy, engagement rates), (4) Cost per outcome, (5) Team satisfaction. Establish baseline metrics during week 1, then measure monthly progress.

Last updated: January 28, 2026

Ask AI