BY Jessica Helinski
Sales AI can help sales teams find, qualify, and engage the best prospects faster by automating research, identifying intent signals, and enhancing personalization — while leaving human judgement in control. Proprietary SalesFuel research shows that many buyers do extensive research before interacting with sales, which makes early visibility and insight delivery critical for modern prospecting strategy.
Only 25% of B2B sellers say that they have used AI to generate outreaches , 31% report using it for intelligence purposes. And only 30% use it to help with conversations.
This low usage can be attributed in part to not having a firm grasp on how AI can help. SalesFuel reveals that 60% of reps say they aren’t “crystal clear” on how to use AI to improve their results.
To stay competitive, reps must bridge this knowledge gap and learn to harness AI. There are many ways that it can improve efforts, as well as save time.
As SalesFuel’s Tim Londergan points out, “With the right mindset and continuous learning, AI can be a tool that boosts your sales.”
When getting started, reps may want to consider using it for prospecting. It’s a straightforward, low-risk way for reps to start seeing immediate benefits.
AI for sales prospecting: How can it be helpful?
Prospecting has always been a lot of work. And as the buying process changes, it’s going to get even more challenging.
As LeadIQ’s Angus Skinner explains, AI can specifically boost prospecting success by:
- Saving time: Automating prospecting tasks like research and follow-ups so reps can spend more time with leads.
- Gaining real-time insights: Flagging buying signals such as email opens and website visits for faster follow-up.
- Improving pipeline forecasting: Applying predictive analytics to show which deals are most likely to close and where managers should focus.
By tapping into AI, you’ll experience all of these benefits, which not only lead to better prospecting but also increased productivity.
How to implement AI into your prospecting strategy
Now that it’s clear how this tool can help, exactly how it aligns with prospecting may not be clear.
“Without clean, connected data, sellers don’t know why an account is hot, who to engage, what to pitch, or how to tailor the message,” Bain & Company points out.
“While many firms jump ahead to guided selling, reps first need insights that are trustworthy, easy to act on and genuinely new.”
This is where AI can shine.
Where AI helps with prospecting
Skinner shares several ways that sellers can tap into AI for sales prospecting, including:
Research
Conducting research is an essential part of successful prospecting. But it can take a lot of time and energy. Using AI to gather research on leads and their business can be a big time-saver. It has the power to sift through large amounts of information in only an instant.
“By automatically pulling data from places like LinkedIn, news publication(s) and company sites, AI can help reps surface key insights,” he explains.
Personalizing outreach
Today’s buyers want a custom experience rather than a one-size-fits-all sales approach. This means that a cookie-cutter email won’t cut it. Instead, consider how AI can help generate personalized messages to prospect that will break through clutter and connect.
Qualifying
Using AI for sales prospecting helps with another challenge: wasting time on unworthy leads. The tool can quickly use lead scoring to identify which leads are worth pursuing.
“As a result,” Skinner notes, “reps can spend more time focusing on the best leads.”
AI use requires responsibility
These are just a few ways that AI can be used for prospecting; for even more, check out these insights.
And don’t forget when using AI, your own critical thinking should always take precedence. Carefully review all AI output and use your best judgment to protect credibility. These best practices can ensure that you embrace AI in a responsible way.
Photo by Aerps on Unsplash
