Nurix Labs Cold Calling: 8 Leads Against a Target of 5

Outbound calling for AI company Nurix Labs produced eight leads against a target of five. The account describes a calling target of 75 calls per day.

Results and measurement

Eight is 160% of the five-lead target, or 60% above it. This is a campaign for an AI company; the account does not establish that AI voice agents made the calls.

Source: Pearl Lemon’s published campaign account; the figures are reported campaign results, not an independently audited dataset.

Compare the related case study or explore all lead generation case studies.

Client context: Nurix’s official AI-platform website. This identifies the company and its services; it does not independently verify our campaign results.

About Nurix Labs

Nurix Labs delivers AI agents designed to transform customer-facing operations. Their technology:

Automates support responses
Manages high-volume queries
Reduces pressure on human agents
Integrates with CRM + ERP systems
Handles voice and text conversations
Improves response time and efficiency

Their ideal clients are businesses with large support teams and high customer contact volume a perfect fit for Pearl Lemon’s outbound appointment setting engine.

Campaign Goals

Nurix Labs approached Pearl Lemon with two core objectives:

A qualified lead = A decision-maker who booked a meeting with clear interest.

To ensure volume, consistency, and predictable pipeline generation.

That’s 160% of target, plus additional prospects actively moving through the funnel.

What Pearl Lemon Did

Daily Outbound Calling Engine

Pearl Lemon’s calling team executed:

75+ structured outbound calls every day
Consistent follow-ups with engaged prospects
Real-time sharing of lead information
Appointment scheduling directly into the client’s calendar

The call strategy focused on:

Pain points around support costs
AI efficiency improvements
CRM/ERP integrations
Reducing pressure on customer service teams

Client Communication Structure

A strong communication rhythm ensured full transparency

Real-Time Lead Alerts

Every qualified lead was emailed to the client immediately.

Weekly Reporting Calls

Scheduled meetings to review progress, objections, insights, and next steps.

Comprehensive Weekly Report

Each report included:

Total weekly call volume
Script highlights
Prospect objections and sentiment
Lead details
Next action steps
Additional improvements

This kept the campaign aligned and evolving week-by-week.

Weekly Reporting Example

From the 5 June report:

1,262 total calls logged
8 qualified meetings booked
Consistently hitting 75+ calls/day
Multiple prospects expressing interest for future follow-up

The campaign is still active and continues to build lead momentum.

Why The Campaign Worked

Several core factors contributed to the rapid success:

Consistent high-volume calling
Clear lead qualification criteria
Tight communication feedback loop
Weekly iteration based on call feedback
Organised reporting + transparent delivery

Pearl Lemon ensured Nurix Labs always knew exactly what was happening and exactly what to expect next.

Campaign Results

8 qualified leads delivered in Month 1
75+ calls/day achieved consistently
Full transparency via weekly reports
Strong client satisfaction

This shows the power of a structured, high-volume outbound engine for AI companies especially those targeting busy decision-makers.

Work With Pearl Lemon

Want a custom outbound engine that produces consistent, qualified leads?

Evaluating outbound calling for an AI company

Nurix Labs’ eight reported leads against a five-lead target represent 60% above target. The 75-calls-per-day figure is a calling target, not a complete observed campaign denominator.

Were these calls made by AI voice agents?

The published account does not establish that. This is evidence of outreach for an AI business; it should not be treated as a test of AI calling technology.

What would show commercial impact?

A follow-on report would need accepted opportunities, meetings held, proposals and wins. Eight leads alone do not establish recurring revenue or product adoption. Ask how a lead was qualified before comparing it with another provider’s count.