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- Play #056 The Good, Bad, and Ugly of AI For Outbound Prospecting
Play #056 The Good, Bad, and Ugly of AI For Outbound Prospecting
Decoding AI in Outbound Prospecting
Each week, I bring you battle tests, sales plays, and learning lessons from my experience as a Founder, VP of Sales, and my current role as the Managing Partner at Leadium, where we help world-class B2B sales teams drive revenue through our done-for-your top-of-funnel services.
The Good, Bad, and Ugly of AI For Outbound Prospecting
Artificial intelligence is a powerful weapon for your sales team, capable of writing sales emails and other marketing materials for more practical prospecting. But, like any technology, there are many downsides to AI that you should know about, including privacy concerns and ineffective communications. Here's the lowdown on using AI when engaging in outbound lead generation.
The Good
To say AI is a time-saver is an understatement. Technologies like ChatGPT make it possible to write pretty effective marketing messages in mere seconds, reducing workloads for sales teams. All you need to do is input a few prompts into this software to create emails and text messages that resonate with possible prospects and increase brand discovery.
AI can also be highly effective at identifying high-value prospects for your campaigns. The latest algorithms predict which potential leads are most interested in your products and services, allowing sales reps to focus on nurturing rather than data analytics.
The Bad
Despite its strengths, a lot can go wrong with AI. Perhaps the biggest challenge associated with this technology is making emails and other communications sound human and not robotic. That's because artificial intelligence lacks understanding and reasoning. Even the best marketing messages will require quite a lot of fine-tuning from human writers and editors to ensure quality. Sending AI-generated content as-is, especially if it sounds mechanical, could potentially ruin your reputation — which defeats the entire purpose of prospecting.
Another issue with AI is data quality. This technology is only as good as the information you provide it, so poor-quality data sets about potential prospects will result in ineffective communications.
The takeaway here is that AI is not a magic wand, despite what some sales and marketing teams might think. I see it as something that can support your existing employees rather than replace them.
The Ugly
In rare cases, AI could seriously damage your company if you use it for analytics and content creation. That's because this tech has the potential for data breaches where hackers access your most sensitive information. If this happens, it could take months to recover and thousands of dollars to restore your reputation.
There are ways to reduce the likelihood of a data breach caused by AI. Encrypting your data and setting up access controls for valuable information, including contact details for potential leads, is always a good idea.
You also don't want to become too dependent on AI. Using this tech to support processes is fine, but you're asking for trouble when it starts automating every aspect of sales and marketing, including:
• Lead generation
• Lead nurturing
• Conversions
• Follow-ups
I predict the most successful organizations will use a combination of AI and human marketers in the future.
Takeaway
AI can prove extremely useful for prospecting by identifying potential leads and automating emails and other marketing materials. However, be aware of the drawbacks of technology, such as poor-quality data sets and privacy risks.
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