Instead of scrapping your entire sales script after a bad call, make one small tweak. Test that change over a significant number of conversations (e.g., 10) to validate its effectiveness with data before making further adjustments. This prevents overreacting to single failures.
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Don't expect an AI agent to invent a successful sales process. First, have your human team identify and document what works—effective emails, scripts, and objection handling. Then, train the AI on this proven playbook to execute it flawlessly and at scale. The AI is a scaling tool, not a strategist from day one.
Instead of writing scripts from scratch, prompt an AI to apply a specific sales methodology (e.g., Jeb Blount's 'because framework') to your prospect's context. This instantly creates persona-specific openers and voicemail scripts, saving creative energy and ensuring consistent messaging during call blocks.
New SDRs get overwhelmed when forced to learn industry nuances first. A better approach is to prioritize mechanics (CRM, scripts), then knowledge (personas), and finally the 'art' of sales, which develops over time. This builds confidence and allows them to execute quickly while they learn.
Foster a culture of experimentation by reframing failure. A test where the hypothesis is disproven is just as valuable as a 'win' because it provides crucial user insights. The program's success should be measured by the quantity of quality tests run, not the percentage of successful hypotheses.
Upload call recordings or transcripts from tools like Gong or Fathom into an AI model. Ask specific questions like, 'Where was the most friction?' to identify disconnects you missed in the moment. Use this insight to craft hyper-relevant follow-ups that address the core misunderstanding.
Move beyond static scripts by using AI for dynamic sales training. Feed ChatGPT your call transcripts and common objections, then ask it to act as a specific buyer persona. Practice handling its objections in a role-playing chat, and conclude by asking it to provide a score and feedback on your performance.
If a prospect says "no" to your permission-based opener but doesn't immediately hang up, use that brief moment to provide context. State a relevant trigger (like hiring) and social proof to pique their curiosity and potentially salvage the call.
Feed recordings of sales calls from lost deals into an AI for a post-mortem. The AI can act as an impartial sales coach, identifying what went wrong and what could be done better, providing instant, actionable feedback without needing a manager's time.
Don't improvise your cold calls. Writing out a script allows you to stop worrying about *what* to say and focus your mental energy on *how* you say it—your tone, pacing, and confidence. This is the key to sounding natural and building rapport, even when you're anxious.
When successful reps get bored and start changing their effective talk tracks, their performance can dip. To coach them, anchor the conversation in data from their peak. Review past call recordings and metrics to show them precisely how their messaging has deviated and guide them back to their proven strategy.