Dedicate call blocks to connect with junior employees at a target account. The goal is not to book a meeting with them, but to gather intel on internal challenges and key players. Use this information to craft a hyper-personalized message for the actual decision-maker.
The initial 'I'm busy' is a common, reflexive prospect response. Lower-performing reps often treat this as a hard 'no' and end the call. Top reps, however, acknowledge the interruption and continue the conversation, understanding that disruption is an unavoidable part of cold calling.
In a weekly meeting, have each SDR recount the story behind every meeting they booked: the channel, the persona, and the specific play used. This closes the feedback loop between activity and results, quickly revealing which personas and messaging are working right now.
Instead of just using AI for coaching low-performers, input transcripts from successful, meeting-booking cold calls into ChatGPT. Ask it to identify patterns and common themes, then use these AI-generated insights to create scalable enablement sessions for the entire team.
For SDRs interested in roles like Customer Success, leaders must meet with those department heads to identify required skills. Then, create projects (e.g., running enablement, building ROI docs) that allow SDRs to develop those specific, non-AE competencies.
Don't use static KPIs. Every month, analyze the activity metrics of reps who successfully hit quota. Use this data to set the new KPIs for the entire team for the upcoming month. This ensures targets are based on proven success and increases team buy-in.
Go beyond connect rate by measuring 'Conversation Rate'—the percentage of connected calls lasting over a set threshold (e.g., two minutes). This metric filters out immediate hang-ups and provides a truer signal of an SDR's ability to effectively engage a prospect.
Have new SDRs draft their own cold call script very early in onboarding. Although the script isn't final, the act of writing it makes them listen to subsequent live calls with a more focused, analytical mindset, accelerating their learning as they compare their draft to real conversations.