
"Usually, they'll do that using some bold "AI insights" from tech CEOs - because who knows every industry, from sales coaching to knitting, better than a tech leader? But there's a problem with this kind of blog post. There's no doubt agentic AI will have an effect on a plethora of repetitive tasks in sales and revenue enablement. However, the abstract knowledge that "things will never be the same" isn't nuanced enough to help decision makers future-proof their AI adoption strategies."
"So, if you're frustrated by other sources that don't break down how yet another AI solution changes the actual metrics your team will use to track sales performance and actionable insights, you're in the right place. What Is Sales Enablement? Definition and Core Metrics To Know The core idea of sales enablement isn't that old, although it's based on rep-driven and product-led sales leadership activities that reps already used when rolodexes were still a thing."
Sales enablement shifted from informal rep-driven practices to measurable coaching workflows as conversation intelligence and CRM analytics matured around 2019–2020. AI, especially generative models, now enables content curation and account-, persona-, and funnel-stage-specific selling. Generic claims that AI will change everything lack the nuance needed for decision makers to plan adoption. Organizations should translate AI features into impacts on core sales metrics and coaching processes to future-proof investments. Practical AI adoption requires clear mapping from AI-driven tasks to the metrics used to evaluate sales performance and enablement effectiveness.
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