Lead Qualification ROI Calculator: Human vs AI

See how AI transforms your lead qualification process from a bottleneck to a revenue driver

Your Information

Number of SDRs
Annual Salary per SDR (USD)
Monthly Contacts
Average Contract Value (USD)
The average annual revenue generated per customer contract
Contact to SQL Ratio
What percentage of contacts turn into sales qualified leads
0.2
%
0
100%
SQL to Sales Ratio
What percentage of qualified leads turn into sales
0,2
%
0
100%
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Financial Impact

Sales annual cost

$0

AI Annual Cost

$0

Current Revenue without AI

$0

Potential Revenue with AI

$0

Additional Annual Deals

0

Return on Investment

0%

Performance Benchmarks

Response Time
Humans Average
4-8 hours
With Patagon AI
< 3 seconds
Engagement Rate
Engagement rate measures how many contacts engage in an actual conversation
Humans Top Performance
30%
With Patagon AI
90%
Why These Metrics Matter
Quick response times drive significantly higher engagement rates (90% with AI vs. 30% with top human performance). This consistent AI advantage leads to at least a 50% boost in contact-to-SQL conversion rates, with some clients experiencing up to a 400% increase. By engaging prospects faster, you generate more SQLs and close more sales.

Frequently Asked Questions

Have questions about our services? Find answers to commonly asked questions here.

How is the Return on Investment (ROI) calculated?

ROI is calculated by comparing the potential revenue generated through AI with the costs of implementing AI. This percentage helps you see the financial impact of using AI for lead qualification over manual efforts.

How does Patagon AI improve response time and engagement rate?

Patagon AI’s lead qualification AI can respond to inquiries in under 3 seconds, compared to the average human response time of 4-8 hours. Additionally, it can achieve an engagement rate of 90%, significantly higher than the typical human top performance of 30%.

What does the “Contact to SQL Ratio” slider represent?

The Contact-to-SQL ratio slider represents the percentage of your initial contacts that convert to Sales Qualified Leads (SQLs). Adjusting this slider lets you see how improving this ratio with AI might impact your revenue and ROI.

How is “Potential Revenue with AI” calculated?

This value estimates the revenue you could achieve by using AI to qualify leads. It’s based on industry benchmarks for response times and engagement rates achieved with AI, we then use the SQL ratio and Sales ratio you provided to calculate the additional deals.

For example, if you have 2000 monthly contacts the formula will be:

Monthly contacts (2000) * Engagement rate with AI (90%) * Your SQL ratio * Your Sales ratio * Average Contract Value = Potential Revenue with AI

What information do I need to provide to calculate my ROI?

To estimate your ROI, you’ll need to input details such as the number of Sales Development Representatives (SDRs), their annual salary, monthly contact volume, and the average contract value of a closed deal. Adjusting the Contact-to-SQL and SQL-to-Sales ratios will further refine the calculations.

Still have questions? Contact us for more information.
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