Automated lead generation is changing the game for businesses. It’s bringing in more conversions, boosting efficiency, and providing greater customer insight. ScoreApp’s tools even integrate seamlessly with existing essentials such as CRMs and email marketing tools.
But what if what felt like a huge leap forward was actually just the beginning? What if there was another game-changer waiting for businesses to get to grips with it? It’s time we talked about using AI in automated lead generation.
What is automated lead generation?
For anyone unfamiliar with it, automated lead generation lets businesses find the best potential customers. Using lead magnets such as landing pages, ScoreApp quizzes, and webinar sign-ups, automated lead generation segments, categorises, and ranks leads. This then allows you to focus on those most likely to convert. Not only that, but by using a ScoreApp quiz alone, you’ll be able to learn more about a lead’s goals, values, pain points, budget, and more.
Once you have that, it’s easier to reach out with relevant personalised messaging that has an impact.
Automating lead generation gives businesses and their sales teams an advantage by simply freeing up the time it would take to manually nurture leads. When it comes to scalability and personalisation, though, AI makes an even bigger difference.
Let’s look at what it can do and how.
How AI fits into automated lead generation
AI is being used for so many marketing and sales tasks at the moment that it can be hard to keep up. The reason is almost always the same: to streamline processes by automating time-consuming tasks.
And lead generation can be incredibly time-consuming, with research, data analysis, and outreach requiring planning and testing.
ScoreApp already saves you time by using AI to build lead generation quizzes in minutes, but that doesn’t even scratch the surface of what AI is predicted to do for automated lead generation in the next year.
Take personalisation. Once your lead has completed a quiz and you know what’s important to them, you can send them hyper-personalised emails. By using a large language model (LLM), this contact can be tailored to match the lead’s needs and requirements.
Meanwhile, introducing AI to the lead-scoring process allows rapid analysis of swathes of customer data. AI can then predict which leads are more likely to convert, giving your sales team invaluable insight into where to focus their efforts.
It can all be a bit head-spinning, so let’s break it down.
Benefits of using AI in automated lead generation
To really understand the impact AI will have on automated lead generation, it’s best to look at some of the benefits separately.
Improved lead quality and targeting
Using AI to help build your quizzes will rapidly improve lead quality, especially with the speed at which you can optimise your questions.
All the while, your AI tools will be scouring and learning from the resulting data. Because of the insights it provides, you get a more complete picture of who you’re talking to, what’s important to them, and how you can better target them and similar leads.
Increased efficiency through automation and reduced manual work
The more you can trust AI and automated lead generation to do its job, the greater the efficiency.
That’s partly because AI is always learning and will get more adept at its task over time, but also because it frees up your sales team. They won’t have to spend hours trawling through and inputting lead data, or even writing variations of email sequences and quizzes.
Enhanced personalisation and engagement at scale
With AI and automation handling your engagement, leads never have to wait for a response. They can be nurtured down the sales funnel without waiting for a fellow human to find time to engage with them. And since AI engagement is always on and limitless, it’s easier to scale and reach more leads than it would be manually.
As far as personalisation goes, AI helps teams produce content tailored to certain criteria. Take quiz answers. Using AI, you can quickly reach out to any lead with content that specifically addresses what’s shown to be important to them. You can even take the content created by AI and use it as the basis for further content, such as social media posts, video scripts, and blog posts.
Data-driven decision-making for better campaign optimisation
AI tools are capable of analysing your data in real time. With such powerful information coming in at all times, it’s easier to make more accurate sales forecasts and act accordingly.
That means better-informed strategies, and A/B testing with immediate results.
Potential challenges of using AI in automated lead generation
Of course, AI is still a relatively new technology. While it can be tempting to submerse your automated lead generation in AI, there are potential challenges and pitfalls businesses should be aware of.
Thankfully, they’re all easily overcome with a bit of forethought.
- Overreliance on AI tools without human oversight: Once your shiny new AI tools are up and running – harnessing the power of data and widening the scope of personalisation – it can be easy to step back. As impressive as AI is, it needs a guiding human hand. No system should be entirely managed by AI, especially where customers are concerned. Machine learning means that any mistakes that get through will become part of the model – which will lead to bigger problems down the line. To keep things working smoothly, make sure human teams are on hand to check the output of your AI systems. Think of it as a sense and suitability check. A little human touch.
- High initial investment in AI technologies: Like we’ve said, AI is new, cutting-edge technology. Because of that, the cost to buy and launch AI tools is going to be high and may not work in terms of ROI. The best way to bring AI into the mix is with a scalable tool. ScoreApp’s AI capabilities have been built with scaling in mind from the start so businesses can gradually expand their AI use and spend to match what they need.
- Data privacy concerns: This is a big one. With so much data being gathered and combed through, questions concerning how we protect our privacy around AI are already being asked. To calm these concerns, all any business has to do is use an AI tool that complies with GDPR and other privacy regulations. It’s a small step, but one that offers necessary protection to businesses and customers alike.
Key AI automated lead generation features and how to implement them
We’ve covered how AI can boost lead automation in theory. Now it’s time to take a look at putting it into practice.
Here are the most important AI automated lead generation features and how to use them.
Lead identification
AI is adept at learning from its actions and the patterns it sees in data. The result is predictive analytics and intent data analysis.
Using existing data and lead behaviour, AI can forecast a lead’s likely actions. With that knowledge, you can reach out with a ScoreApp email sequence to seal the deal when intent to buy is at its highest.
Personalised engagement
Once AI gets involved with your data, it can create tailored content for hyper-personalised engagement. We’re not just talking about inserting the lead’s name at the top of an email either. Think reaching out with content that is relevant to a lead’s historical and recent behaviour and stated preferences.
Speaking of engagement, how about chatbots that can change tack and offer options based on user input? Chatbots can also run at any time of day or night, making your business even more accessible to potential leads and increasing conversions.
Lead scoring and qualification
Lead scoring was already made easier with ScoreApp’s quizzes, but AI takes things a step further. By using existing conversion data to rank new leads, sales teams can better prioritise the leads most likely to buy.
There’s also the added benefit of wasting less time chasing weaker leads. It’s a win-win situation.
Streamlining workflows
By letting AI handle the most repetitive and time-consuming tasks (think data entry or actioning follow-up emails), you’ll streamline your workflows.
Your humans behind the scenes will then be free to turn their focus elsewhere. Instead of getting lost in the weeds, there’ll be more time for strategy and big thinking, and for creating even more high-value content, such as lead-generating webinars.
Leverage AI for automated lead generation with ScoreApp
Automated lead generation was already boosting conversions for businesses, especially when properly optimised. By adding AI into the mix, businesses can up the ante yet again, boosting the strongest aspects of automated lead generation, increasing efficiency, and reaching leads with relevant interactions at any time.
ScoreApp makes AI tools easy to get to grips with. It’s free to try, too, so there’s no excuse for not supercharging your business growth with AI lead generation.
