5 Ways to Leverage AI to Supercharge Sales Performance

It’s no secret that artificial intelligence has gone mainstream. Today, navigating to a news website, social media site, or industry publication is nearly impossible without seeing at least a handful of headlines or conversations about AI’s tremendous growth and impact.

But AI isn’t just some buzzword or a passing trend. AI has become a must-have technology for any revenue organization looking to remain competitive and grow revenue in a crowded marketplace.

By now, most revenue leaders know they should leverage AI to boost sales performance. But many still aren’t quite sure how to incorporate AI into their sales processes.

In this post, we’ll explore five practical, impactful AI strategies that can help you enhance seller efficiency and drive revenue growth for your go-to-market teams.

AI is a must-have for revenue leaders

The harsh reality is that many revenue organizations aren’t meeting their numbers. If that’s the case at your organization, you’re not alone.

GTM performance often misses the mark – by a lot. Research tells us only 42% of sales reps regularly meet quota.

cost of customer churn each year
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Furthermore, GTM teams struggle to keep up with the pace of change. Customer churn costs U.S. providers $168B each year, and 70% of businesses fail to pivot to new market shifts.

As a revenue leader, your work is cut out for you.

But AI can help change the game.

By strategically leveraging AI, you can improve performance across the entire GTM team and drive revenue growth. Let’s look at five practical but impactful AI strategies that’ll supercharge your sales results.

Strategy #1: Build rep skills with modern training and enablement

Every seller needs training and enablement to have what it takes to engage buyers and close deals. But each rep has different experiences, strengths, and weaknesses. A one-size-fits-all approach to training and enablement doesn’t work.

Enablement and training must be personalized for each individual. However, most organizations struggle to apply a truly adaptive approach to enablement.

AI makes it easier to deliver personalized training and enablement at scale – even when budgets and people hours are tight. Here are a few ways you can tap into AI to make enablement creation fast and simple:

  • Program creation: AI can create program structures for common enablement use cases. Then, you just have to drop your content into the flow.
  • Knowledge assessment: AI can take training content and quickly create an assessment to gauge mastery. Mindtickle Copilot has reduced the time to create assessments from 21 to 1.9 minutes.

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As AI quickly evolves, so will the ability to create even more complex and tailored enablement quickly and at scale.

Strategy #2: Improve team performance with data-driven coaching

Effective sales coaching can improve win rates by as much as 29%. However, traditional sales coaching practices are time-intensive, and sales managers don’t have time to spare.

Role-plays have been a longstanding sales tactic for preparing reps for conversations. However, managers are busy and don’t have time to go over each pitch before a rep jumps on a call.

AI makes role-plays scalable across large enterprises.

Organizations can quickly create AI role-play scenarios based on a few prompts. Reps can practice with an AI buyer in a hyper-realistic scenario miming a real-life sales interaction. With role-plays, sellers can practice as much as needed to be confident with messaging and nail the delivery without waiting for their manager’s feedback.

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Also, sales reps don’t have to wait around for manager feedback. AI provides a score for each role-play – as well as immediate feedback on things like:

  • Pace of speech
  • Sentiment
  • Use of filler words

Sellers can use this feedback to improve their pitch before money is on the line.

AI-driven coaching works. Cisco, a Mindtickle customer, recently held a pitch contest for its 3,500 sellers, which yielded 6,050 submissions. By using Mindtickle Copilot to review the role-plays, Cisco saved 38 weeks of manager time. The company also saw a 25% increase in the value of booked deals and a 31% rise in the average deal size.

Strategy #3: Accelerate deal cycles with intelligent digital sales rooms

Deals are getting increasingly complex, and buying committees are getting larger. It can be a lot for a seller to manage – especially when every buying committee member has unique needs.

Digital Sales Rooms (or DSRs, for short) are portals where buyers and sellers can engage and collaborate to accelerate deals. DSRs give buyers a place to research, share content with team members, and get answers to their questions. On the other hand, sellers use DSRs to share the right content and understand how the entire buying group engages with it.

Though DSRs are a relatively new technology, they’re proving to be an effective way to collaborate with buyers and move deals forward. Customers that incorporate DSRs into their sales motion typically see increases in win rates, sometimes as high as 2x, showing the importance of upleveling how you engage with modern buyers.

Increasingly, buyers prefer to do their buying tasks via self-service tools. DSRs give them a place to do their buying tasks and allow sellers to influence and track this self-service process. Serve them the branded and third-party content they need to advance their evaluation, and they’ll progress quicker through the buying journey. You’ll know where they are in their process and how you can support their next steps.

Advancements in AI will make Digital Sales Rooms even more useful for buyers and sellers. Modern sales orgs will soon use AI to auto-create and curate rooms based on CRM data, content engagement data, and other buying signals. Using a combination of AI, input from your marketing SMEs, and insights from your sellers, you can orchestrate compelling buyer experiences that drive deals forward.

Strategy #4: Deliver the right content for every moment

Most organizations have no shortage of sales content to use with buyers. In fact, we might say that most organizations have too much. Sellers often struggle to find the content they need and know how to use it when they find it. With AI, sellers don’t have to spend hours looking for content or creating their assets. Instead, recommended assets are served alongside helpful context, which they can use to move deals forward.

With AI being able to scrub a ton of content all at once, sellers can stop searching for keywords on a certain document and rather ask AI common questions to help them in their deals, like, “How do I compete with Competitor ABC?” and get a succinct response that they can use in the moment.

Furthermore, AI is making it possible to (finally) understand the true impact of content in deals. It’s not enough to know the content was used in a deal that closed or was lost. You need to understand whether it has the intended impact within each deal.

For example, AI is unlocking the ability to combine attribution and engagement data into an understanding of the estimated impact of engagement with content on the likelihood of a deal closing. This will tell you so much more than the shallow content ROI metrics currently offered in most platforms.

Strategy #5: Gain insights on every call to accelerate deals

Each interaction with a buyer is full of rich insights – whether a seller realizes it or not. With AI, sales teams can unlock these insights without sifting through call transcripts. Then, they can leverage this intel to improve performance and sales outcomes.

AI helps analyze each call. This allows for:

  • Fast follow-ups: Reps get real-time call summaries and action items, which enables them to follow up faster.
  • Higher productivity: Your CRM is auto-enriched with call recordings and summaries.
  • Instant insights: AI highlights key moments and can answer deal or rep-related questions instantly.
  • Voice of your market: AI can summarize competitive mentions, challenges of your customers, and how your message is resonating with buyers across conversations

AI-powered call insights boost performance. You can use insights to measure rep performance, understand your buyers, and enhance deal outcomes.

AI is transforming the world of sales

AI has only recently gone mainstream. But already, it’s transforming the world of sales.

Your competitors are already using AI. If you’re not, you risk getting left behind.

Now’s the time to strategically leverage artificial intelligence to ramp reps faster, get more expansion opportunities, and win bigger deals.

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The End of Traditional Sales Coaching: Why AI Role-Play is Taking Over

Each seller on your team needs consistent, quality sales coaching to be successful. That includes your all-stars, your lowest performers, and everyone in between.

When done well, sales coaching contributes to better outcomes. Research tells us that effective sales coaching can boost key metrics, including win rates and quota attainment—not to mention engagement and retention.

A recent analysis found that top-performing sales reps receive four times more coaching than the average rep. That’s no coincidence.

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But traditional sales coaching methods are rapidly becoming obsolete in today’s sales environment.

Today, innovative sales leaders are turning to AI-driven coaching solutions to ensure each sales rep has what it takes to deliver outstanding experiences and close more deals. Read on as we explore why this shift is necessary – and how it’s transforming sales coaching dynamics.

The rise of AI feedback

Sales reps have always relied on manager feedback to improve performance and outcomes.

But traditionally, sellers were at the mercy of their manager’s schedule. When sellers wanted real-time feedback, they had no choice but to wait around for it.

The era of waiting around for manager feedback is over. Modern sales reps seek immediate, actionable insights they can leverage to hone their skills immediately. AI makes this possible with AI role-plays that facilitate on-demand simulated sales conversations in hyper-realistic sales scenarios and give immediate qualitative and quantitative feedback.

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Not surprisingly, generative AI role-play scenarios are becoming sellers’ preferred choice. These AI-powered role-plays provide real-time feedback on your sentiment, speech pace, objection handling, and much more, empowering sales reps to refine their techniques more efficiently than traditional coaching ever would. Sales reps can fine-tune their skills faster, which means they can accelerate and close more deals.

An AI-first coaching approach is favored by sales reps and managers

Both sales reps and managers are gravitating toward an AI-first approach to sales coaching. It’s easy to see why.

An AI approach enables sales managers to boost performance across their entire team by addressing each sales rep’s strengths and weaknesses. However, sales managers don’t have to waste time on ineffective, inefficient sales coaching practices.

On the other hand, reps appreciate the opportunity to practice role-playing with an AI buyer multiple times in a no-judgment environment. This repetitive practice—coupled with instant feedback and suggestions for improvement from AI—ensures that sales reps’ skills are significantly honed when they seek input from their manager.

The practice itself is the goal, not perfection. We see that our customers practice 4-6 times before they submit.

Mindtickle customers practice

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This practice with a dynamic AI buyer who throws out objections allows reps to get comfortable with their talk tracks and be ready to tackle any real customer’s objection.

Traditional coaching has limitations

The responsibility of sales coaching once rested solely on the shoulders of sales managers. But as the size of their teams and list of responsibilities grow, many sales managers simply don’t have enough time to spend on one-to-one development.

That means sales coaching often goes by the wayside. In 2023, the average number of monthly coaching sessions a rep receives decreased year over year.

Traditional coaching methods are slow and resource-intensive. Sales managers must listen to live or recorded sales calls or role-plays and then deliver meaningful feedback. Multiplying this across a team of reps quickly becomes a heavy burden for even the best sales managers.

AI can simulate a wide range of realistic sales scenarios, from discovery conversations to competitive differentiation conversations to price negotiation conversations. This allows reps to practice their skills and get meaningful feedback without taking valuable time from their managers.

The role of sales leaders in coaching is evolving

AI is transforming sales coaching, but that doesn’t mean sales managers will soon be uninvolved.

It will just change.

Direct interaction between a manager and a rep is key to building trust, strengthening interpersonal relationships, and improving performance. That will never change. However, sales managers’ role in coaching is evolving – arguably for the better.

Today, AI is equipped to handle the bulk of feedback and practice—the time-consuming, day-to-day elements of delivering a personalized sales coaching program.

For instance, say your reps struggle with discovery. Sales enablement can work with sales managers to set up a hyper-realistic scenario that maps to your industry and buyer persona that reps can use to practice their discovery chops. The more they practice, the better they will get at uncovering buyer pains and needs.

This role-play practice can lead to real and meaningful skill coaching rather than the tactical deal coaching that often tends to bring in revenue.

Thanks to AI, sales managers are no longer bogged down by the details of day-to-day coaching. Instead, they can focus on overarching goals and personalized team development plans.

Sales coaching will never be the same

Sales coaching will always be a key ingredient of sales success. But the landscape of sales coaching is fundamentally changing. And that’s a good thing.

Self-serve, contextual AI-driven role-plays and feedback in the flow of work won’t just enhance how sales reps practice their skills but will be the death of traditional sales coaching.

Combining AI efficiency with strategic oversight from sales leaders creates a more dynamic, effective coaching model.

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