Leena Joshi
Data is the rock upon which the sanctuary of B2B sales is built. But it’s not easy for sales teams to comb through the vast amount of data, considering its sheer size and complexity. Historically speaking, a sales team would manually sort data and pick meaningful insights from it. But this isn’t feasible anymore.
But there’s a ‘magic wand’ that you have probably heard of by now: artificial intelligence.
Here is a brief breakdown of why AI is vital for B2B sales performance. You’ll soon see why AI isn’t just a tool anymore but a strategic imperative to bring you closer to success in this competitive industry.
The B2B sales landscape changes swiftly; you blink your eyelid, and several new trends will appear in the meantime. It becomes difficult to keep up with these randomly spawning marketing trends. However, AI can help sales leaders watch out for the latest trendsetters in the industry. For instance, AI can help sales teams:
Find new exploitable opportunities
Spot potential market risks
Monitor competitor activity
Analyze real-time customer feedback
When key performance metrics are readily observable, sales leaders can easily make better data-driven results for successful dealmaking efforts.
We are not saying that personalization didn’t exist before the age of AI, but it was limited to activities like addressing a lead by their first name or asking about their family's well-being over the phone. AI-driven personalization goes beyond simple greetings; artificial intelligence goes deeper into the lead’s behaviors, preferences, and purchasing history.
The level of advanced personalization makes leads more likely to engage with your content and then ultimately convert. By using free generative AI tools like ChatGPT, sellers can more quickly create content like emails. CloseFactor takes this a step further with SmartSend enabling sellers to automatically generate emails that are personalized to their prospect and the seller’s product.
Gone are the days when salespeople had to rely on tedious manual data entry and followups. Thanks to the inclusion of AI, a lot of mundane tasks that bored sales teams to death and drove others to madness are now fully automated. For instance, you can witness the magic sprinkled on:
Scheduling meetings
Email follow-ups
Updating CRMs
Generating quotes
As a result, sales teams can now focus more on engaging their leads and spend less time dealing with pesky, uninteresting administrative issues.
Evergreen, easily shareable, and relevant to user intent - lo and behold! I just described the key qualities of quality content, which is the lifeblood of B2B sales. But AI can now generate this type of content and many other types, such as:
Email copy
Blog posts
Ebooks and long-form content
Product descriptions
Sales teams can use AI tools to create first drafts or get ideas for evergreen content. AI tools can help you with keyword suggestions, outline creation, and other content-related tasks.
AI systems can analyze sales calls and meetings to provide real-time feedback and post-meeting summaries, highlighting areas of improvement and success. This feedback can be used for training purposes, helping reps enhance their sales techniques and interpersonal skills. This may include:
Call and meeting transcription
Behavioral insights
Real-time feedback
Skill development and training
These AI-driven tools and techniques not only enhance the sales process but also empower sales reps with a deeper understanding of their interactions, helping them refine their skills continuously and perform at their best.
Imagine living in a world where decisions are based on “gut feelings” in place of cold, hard facts. Such a reality cannot exist in the multiverse thanks to data-driven decision-making (DDDM). Surveys are already showing us that two-thirds of sales organizations will ditch intuition-based decision-making completely by the year 2026 and switch to completely to DDDM. Sales leaders are already churning big chunks of data into simple, easily actionable insights thanks to artificial intelligence.
AI implementation is the fastest way to improve sales strategies. Sales teams can use AI-powered tools to identify the latest market trends, track their performance, and monitor the customer base’s ever-evolving behaviors and preferences.
But incorporating AI into sales tactics isn’t easy. The road to AI-powered B2B success is paved with many hurdles that may seem insignificant at the moment but can potentially undermine the quality of the data you’re collecting. These hurdles are:
Strict security measures will have to be set up to keep sensitive data secure
Successful AI adoption depends on training everybody in the sales department
The upfront costs of AI implementation may be hard to justify in front of stakeholders
AI systems must be monitored at all times with updated algorithms and overhauled data models
Overcoming these challenges will set B2B sales leaders toward marketing excellence.
An analytical approach to B2B sales is the key to better decision-making, letting you offer personalized sales strategies to clients. Sales organizations are incorporating artificial intelligence into dealmaking for a streamlined sales process. It puts you face-to-face with higher win rates, lets you bond with customers on a deeper level, and gives you a better understanding of your customer base.
In simple words, data-driven dealmaking has upgraded the entire B2B sales landscape. The power of data lets sales organizations outperform their competitors. It’d be appropriate to say that AI is the new determiner of success and efficiency in B2B marketing.
All B2B sales leaders should leverage AI's power to develop better marketing strategies. CloseFactor uses AI to automate the full sales process from account and prospect discovery to writing the email customized for your product and the persona’s initiatives. Book a demo with our AI solution architects to learn more.
