General KPIs we optimize for:
20% response rate
30% response to CTA
15% Lead to CTA
Steps to Determine KPIs:
Assess Current DM Process:
Look at the total number of leads generated and the number of triages or applications your DM setters produce monthly.
Example: If you generate 1,000 leads and 100 applications monthly, you have a 10% lead-to-application rate.
Use these existing KPIs as benchmarks for your AI setter.
Setting Initial KPIs:
If you don't have existing KPIs, use general averages over a 90-day period.
Core KPIs to optimize for AI setters:
20% Response Rate: Indicates that your marketing message resonates with leads.
30% Response to CTA: Percentage of conversations that reach the next step in the sales process.
15% Lead to CTA: Total percentage of leads that reach the CTA.
Optimizing KPIs:
Start by increasing the response rate to generate more conversations.
Higher response rates lead to more conversations, which increases the chances of reaching the CTA.
Continuously monitor and optimize to improve these KPIs.
Gather Data and Adjust:
If you’re deploying AI for the first time, gather data to understand your averages.
Build out your KPIs based on this data and make adjustments as needed.
Be realistic and objective about the data, and make tweaks to optimize the conversation funnel.
Conclusion: By setting and optimizing these core KPIs, you can ensure your AI setter is performing effectively. Remember, every system produces results based on the inputs it receives, so if you're not getting the desired output, adjust the inputs.
See you in the next video!