PROMPT

Compare campaigns across channels by MQLs generated vs. spend. Highlight which campaigns delivered the most cost-efficient leads.

DESCRIPTION

This prompt analyzes marketing performance through an efficiency lens, revealing which campaigns and channels are generating the highest number of qualified leads for the lowest cost. By comparing MQL output against spend, it provides a clear picture of ROI at the top of the funnel, where smart budget allocation can have the greatest downstream impact on pipeline and revenue.

Understanding cost efficiency allows marketing teams to optimize their mix between lead quality and acquisition cost. It identifies the high-performing campaigns worth scaling and those that may be draining resources with limited return. This insight also enables better forecasting and investment planning, as teams can model which channels and tactics consistently yield efficient conversion. The outcome is a data-backed foundation for improving marketing productivity and maximizing return on every dollar spent on lead generation.

 

USE CASE

Demand generation

VALUE DRIVER

Pipeline | Conversion | Leads

EXAMPLE RESPONSE

Channel Performance Analysis: MQL Generation vs. Spend

Based on the data provided, I can analyze the performance of different distribution channels in terms of lead generation. Let's examine which channels delivered the most cost-efficient leads.

Channel Performance Overview
Channel Leads Generated Engagement Score Avg Read Rate Bounce Rate
Direct 11 17,814 (High) 42% 9%
www.google.com 12 13,173 (High)
60% 13%
www.linkedin.com 4 8,285 (Medium) 31% 9%
Key Insights
  • Google Search appears to be the most effective channel for lead generation, producing 12 MQLs with high engagement scores (13,173) and strong read rates (60%).

  • Direct traffic follows closely with 11 leads and the highest overall engagement score (17,814), suggesting that direct outreach or branded campaigns are highly effective.

  • LinkedIn generated fewer leads (4) but maintained a respectable engagement score and low bounce rate, indicating quality traffic.

Cost Efficiency Analysis

While the data doesn't include specific spend information per channel, we can infer relative efficiency based on engagement metrics:

  • Google Search likely offers the best ROI given its high lead count and strong engagement metrics

  • Direct traffic shows excellent performance, suggesting that direct marketing efforts are worthwhile

  • LinkedIn shows moderate efficiency with fewer leads but decent engagement

Recommendations
  • Increase investment in Google Search campaigns to capitalize on their effectiveness in generating qualified leads with high engagement.
  • Strengthen direct marketing efforts as they're producing strong results with high engagement scores.
  • Optimize LinkedIn campaigns to improve lead conversion while maintaining the quality of traffic.
  • Review website lead generation strategy to improve conversion rates from website visitors.
  • Implement UTM tagging to better track campaign effectiveness across channels. This will provide more granular data on which specific campaigns are most cost-efficient. Learn more about using UTM tags to understand channel effectiveness.
  • Sync Turtl intent data with your CRM to better track how leads from different channels progress through your sales pipeline. This will give you more accurate ROI calculations. Learn more about syncing Turtl intent data with your CRM.