5 Ways Affordable AI is Streamlining Sales in 2024 [+ Expert Tips to Leverage It]
Artificial intelligence has moved from a futuristic "nice to have" to an essential component of the modern sales stack. As AI matures and becomes more accessible, sales organizations of all sizes are embracing these tools to automate processes, uncover insights, and drive more revenue.
In fact, Gartner predicts that by 2025, 75% of B2B sales organizations will augment traditional sales playbooks with AI-guided selling solutions. And it‘s no wonder why – a recent McKinsey study found that companies that use AI in sales increase their leads by 50%, reduce call time by 60-70%, and realize cost reductions of 40-60%.
But with so much hype around AI for sales, it can be difficult to separate fact from fiction and determine which tools actually move the needle. In this post, we‘ve cut through the noise to reveal 5 powerful ways affordable AI platforms are streamlining sales in 2024.
We‘ve also gathered tips from sales leaders and practitioners who are using AI to transform their sales motions. Whether you‘re an AI novice or well on your way to building a cutting-edge tech stack, you‘ll find actionable insights to help you harness the power of intelligent selling.
The State of AI in Sales
Before we jump into specific use cases, let‘s set the stage with some key stats that illustrate AI‘s growing prominence in sales:
| AI in Sales Statistics | Percentage |
|---|---|
| Sales teams using AI | 37% |
| Sales leaders who say AI is important to their success | 76% |
| Companies with an AI strategy in place | 84% |
| Expected increase in AI spending by 2024 | 75% |
Sources: Salesforce State of Sales Report, Gartner
As you can see, AI adoption is accelerating rapidly as more sales orgs experience the benefits of intelligent automation, predictive analytics, and prescriptive recommendations. And this is just the beginning – the AI revolution in sales is picking up steam.
Collin Mitchell, Head of Sales Development at Salesforce, sums it up well:
"We‘re in the midst of a major shift in the way sales is done, and AI is at the forefront. The sales orgs that embrace AI will be the ones that thrive in the years to come. It‘s not about replacing salespeople, but empowering them with tools that make them more effective and efficient."
Now, let‘s explore 5 key areas where affordable AI solutions are making a big impact.
1. Conversational Intelligence
One of the most exciting applications of AI in sales is conversational intelligence (CI). CI platforms use natural language processing and machine learning to analyze sales calls and meetings at scale. By turning unstructured conversation data into actionable insights, CI helps sales leaders answer questions like:
- What are our top performers saying and doing differently?
- Which messaging resonates most with our buyers?
- How can we replicate successful talk tracks across the team?
- Where are deals getting stuck and why?
Identifying Winning Behaviors
CI tools like Gong and Chorus surface the words, phrases, and topics that are statistically proven to drive positive outcomes. Sales enablement teams can use these insights to craft playbooks, battlecards, and talk tracks that weave in the most impactful language.
For example, Gong‘s "Winning Actions" feature might reveal that top reps spend 30% more time discussing ROI and 15% less time on product features compared to average performers. Armed with this intel, managers can coach the rest of the team to rebalance the focus of their conversations.
Real-Time Conversation Guidance
The most advanced CI platforms go beyond post-game analysis to provide real-time feedback and recommendations while calls are happening. Like a sales assistant whispering in your ear, AI can help steer conversations, serving up relevant content, handling objections, and keeping reps on track.
Imagine a new sales hire is on a call and the buyer mentions a competitor. CI can instantly pop up a battlecard with targeted talking points to help the rep articulate differentiation. This kind of in-the-moment coaching is a game changer for ramping reps and ensuring message consistency.
Automating Call Coaching
Perhaps the greatest productivity boost from CI is the way it enables managers to coach at scale. Instead of spending hours shadowing calls and scribbling notes, managers can leverage AI to automatically score rep performance, identify coaching opportunities, and benchmark talk tracks.
With a platform like Chorus, sales leaders can review calls 10x faster by jumping directly to the moments that matter most. Managers can also create call libraries to showcase model messaging and share best practices across the team.
CI is quickly becoming a must-have for data-driven sales orgs. By 2024, Aragon Research predicts that 70% of B2B companies will be using conversational intelligence to coach reps and shape winning behaviors.
2. AI-Powered Sales Engagement
AI is also transforming the way sales reps engage with prospects across channels and touchpoints. AI-powered sales engagement platforms orchestrate, automate, and optimize multi-channel outreach to help reps connect with more of the right people at the right time.
Intelligent Cadence Management
One of the key ways these platforms streamline sales is by using AI to determine the optimal sequence of touches for each prospect. By analyzing past engagement data, AI can predict the channel mix, timing, and frequency that is most likely to elicit a response for a given persona and buying stage.
For instance, SalesLoft‘s Cadence Optimizer might recommend a sequence of 3 emails, 2 phone calls, and 1 LinkedIn touch over a 2-week period for a target account that hasn‘t responded to a previous outreach. Reps can use these AI-generated "smart cadences" to put outreach on autopilot and maximize their chances of breaking through.
Personalization at Scale
Another powerful capability of AI-powered sales engagement is the way it enables hyper-personalization across a large volume of touches. Platforms like Outreach use natural language generation (NLG) to automatically craft highly tailored emails, landing pages, and social messages for each prospect.
The AI draws from a range of data sources – including CRM fields, online behavior, and intent signals – to weave in relevant content and context at the individual level. This dynamic personalization helps reps deliver the "human touch" that today‘s buyers expect, even when engaging hundreds of contacts.
Melanie O‘Leary, Sales Development Manager at Nasuni, shared the impact of shifting to an AI-powered approach:
"We‘re seeing a 35% increase in open rates, a 50% increase in replies, and a 25% decrease in time spent writing emails. Being able to tailor outreach at scale has been a total game changer for our prospecting. Our BDRs are covering way more ground without sacrificing quality or the personal touch."
As buyer expectations continue to rise, AI will become an increasingly essential tool for engaging prospects in a highly relevant, efficient way. Forrester predicts that by 2025, 80% of B2B sales interactions between suppliers and buyers will occur in digital channels, with AI guiding sellers in half of those interactions.
3. Voice and SMS Automation
When it comes to connecting with busy buyers, nothing beats the speed and directness of a real-time phone call or SMS message. But manually dialing numbers and leaving voicemails is a tedious, unproductive time suck for sellers. That‘s where AI-powered voice and SMS tools come in.
Intelligent Dialing and Disposition
Platforms like Dialpad and RingDNA use AI to automatically place calls from a prioritized list and intelligently navigate phone trees to reach the right contacts. The AI listens to the call, detects if a live answer occurs, and connects reps when they‘re needed.
If the call goes to voicemail, the AI leaves a pre-recorded message in a human voice that‘s indistinguishable from the real thing. This eliminates the awkwardness and inconsistency of reps trying to ad-lib a compelling voice message on the fly.
AI also automates post-call work like dispositioning outcomes and scheduling follow-ups. By streamlining the rote tasks around dialing, AI gives reps hours back in their day to focus on closing deals.
Targeted SMS Campaigns
In addition to automating calls, AI is powering a new wave of intelligent SMS prospecting. With the high open rates and response times of text messages, SMS is becoming a go-to channel to cut through the noise and produce pipeline.
Platforms like Salesloft and Kixie allow reps to create targeted SMS cadences that intelligently guide prospects from initial touch to booked meeting. Rather than spamming contacts with generic texts, reps can harness AI to tailor two-way conversations and react to buyer intent in real-time.
For instance, if a prospect responds "not interested" to an initial outreach, AI can detect the negative sentiment and automatically pivot the conversation to a nurture track, tee up an objection handling message, or suggest an alternative next step.
By 2024, Gartner predicts that 25% of sales reps will be using AI-powered SMS engagement tools to qualify leads, schedule meetings, and accelerate deals. The perfect combination of automation and personalization makes SMS an increasingly lucrative channel for sellers.
4. Predictive Lead and Account Scoring
Knowing which leads and accounts to prioritize is a constant challenge for sales teams. Fortunately, AI is becoming incredibly adept at predicting buyer propensity and mapping that to a prioritized workflow for sellers.
Fit and Intent Modeling
Tools like MadKudu and 6Sense leverage machine learning to build predictive models based on two key dimensions: fit and intent. Fit looks at firmographic, technographic, and behavioral data to assess how well an account aligns with a company‘s ideal customer profile (ICP).
Intent uses signals like web activity, content engagement, and search data to gauge an account‘s level of interest and infer where they are in the buying journey. Combined, these two factors paint a powerful picture of an account‘s revenue potential and sales readiness.
AI continuously updates these models as new data flows in, getting smarter over time. The end result is a dynamic scoring system that helps sales prioritize their finite time and tailor their approach for maximum impact.
AI-Guided Selling
The logical next step is translating predictive scores into clear, prescriptive next actions for reps. That‘s where AI-guided selling comes in. Based on the account‘s score and stage, AI proactively suggests the best plays to run, content to share, stakeholders to engage, and offers to extend.
Platforms like Tact.ai and Olono turn reps into "revenue whisperers" by continually steering them to the highest-value activities. With a clear line of sight into what to do next for every deal, reps can minimize planning and research time and maximize active selling time.
The impact of this "AI sixth sense" for sellers is profound. Teams that adopt AI-powered predictive scoring and guided selling report a 50% productivity increase and a 40-60% improvement in lead conversion rates. In an age where sales is part art, part science, AI is quickly becoming every seller‘s superpower.
5. Intelligent Revenue Forecasting
Accurately predicting revenue is an age-old challenge for sales leaders. Fortunately, AI is shedding new light on forecasting, yielding unprecedented accuracy and visibility. By turning the art of forecasting into a data science, AI is helping leaders make smarter resourcing and investment decisions.
Predictive Deal Scoring
The foundation of an intelligent forecast is predictive deal scoring. Platforms like Clari and InsightSquared use machine learning to analyze hundreds of deal variables – like rep activity, buyer intent, and historical win rates – and predict the likelihood of each opportunity closing in a given timeframe.
By rolling up these AI-driven deal scores, leaders get a far more realistic view of their pipeline and expected revenue. Managers can also zoom in on deals that are at risk and proactively intervene with targeted coaching and resources.
Gone are the days of chasing reps for deal updates and relying on gut feel to call a number. With AI, forecasting becomes a real-time, data-driven exercise that gives leaders confidence in their projections.
Scenario Modeling
The other game-changing aspect of AI for forecasting is the ability to model "what if" scenarios on the fly. Want to see how your forecast would change if you pushed out 10% of deals or increased average contract value by 20%? AI can instantly re-calculate the roll-up and show you the impact.
This kind of dynamic scenario planning is a huge upgrade from the static, spreadsheet-based approach most teams are used to. With AI, leaders can pressure test assumptions, evaluate trade-offs, and align forecast and plan in real-time.
The precision and agility that AI brings to forecasting is a major competitive advantage. Gartner found that teams that adopt AI-powered forecasting improve their forecast accuracy by 40-50% and double the number of reps who achieve quota. In uncertain economic times, AI is becoming a must-have for revenue predictability.
The Future is Intelligent
As we‘ve seen, AI is rapidly becoming the sales superpower of choice for teams that want to sell smarter, faster, and more efficiently. From engaging buyers to closing deals to calling the number, AI is streamlining every aspect of the sales cycle.
And the exciting part? We‘re just scratching the surface of what‘s possible. As AI continues to advance and converge with other technologies like 5G, blockchain, and augmented reality, we‘ll see even more ways to enhance the seller and buyer experience.
But amidst all the hype and promise of AI, it‘s critical to remember that it‘s not a panacea or replacement for human sellers. As Allie McConnel, VP of Sales Strategy at Outreach, puts it:
"AI will never substitute the human touch that‘s so essential to sales. It‘s about augmenting and enhancing sellers‘ capabilities, not replacing them. The highest-performing sales orgs will be those that learn to blend human intuition, relationships, and creativity with data-driven insights and automation."
So if you‘re looking to future-proof your sales motion, now is the time to start exploring how AI can elevate your efforts. Whether you‘re just dipping your toes in or ready to dive headfirst, there‘s never been a better time to put the power of AI in your sales corner.
The robots aren‘t coming for your job, they‘re coming to make you a revenue rockstar. Embrace the future of intelligent selling, and let AI be your competitive edge in 2024 and beyond.
