Traditional lead generation is tedious, requiring multiple strategies, loads of data, and interpretation of what it all means. However, with AI-powered lead generation, companies can work smarter, be more strategic, and connect their brand with the right customers.
1. Prospect Research Gets Granular and More Contextual
Finding new customers has always been an essential component of any sales job. Making contacts through networking and word-of-mouth doesn’t cut it in today’s business climate. In a global economy, potential customers are everywhere, and organizations must adapt their prospect research to match.
An AI tool for car sales leads can analyze existing customer data to determine an “ideal” customer type. This identification goes beyond developing a persona, which is limited in depth and context. With an AI tool, variations in data separate lead types into categories that empower teams to convert more sales.
Customer behavior prior to a sale can further enrich your dataset, logging actions like vehicle research and chat engagement. When the data indicates a higher prevalence of online chat converting to sales, companies know where to invest their efforts.
2. Lead Scoring Helps Organizations Prioritize Leads that Match Ideal Customer Profiles
With the depth that AI can add to customer profiles, a scoring system can be implemented. By ranking customer profile types with scores that indicate their likelihood to purchase, teams know where to spend their time.
At the onset, broad data can inform this scoring system, but over time it will improve. With each closed sale, your AI-powered scores shift to tabulate unique scenarios and the engagement of your customer. The more information your AI tool has to work with, the better, for you and your team.
This lead-scoring methodology can also flag outliers in your typical customer journey. This way, you can identify customer profiles that don’t follow typical patterns, but are worth elevating once they are identified.
For example, not every car buyer wants to submit a form with their personal information online. Some customers prefer to drive the lot, ask for a test drive in person, and complete the sale.
By denoting customers who don’t fit the typical profile, your team can understand how to adjust. Their customer service strategy can change to suit less typical leads so they feel cared for throughout the sales process.
3. Leads Don’t Linger – They Get Personalized Outreach
Now, you’ve gathered customer information, and you have a methodology to score their likelihood to purchase. But without action, a sale is unlikely to move forward. By combining the power of AI lead gen tools, you can act quickly at any time.
Once a customer enters the sales funnel by searching online, your AI-powered chatbot can offer support. Customize your bot to fit your brand, campaign, and voice. With AI, your chat agent can ask more than “how can I help?”
Your bot can analyze your customers’ search queries and online activity to ask the right questions based on their browsing. Strive to invoke curiosity in your customer and provide support and education while building trust. The goal here is to humanize the experience as much as possible.
With an AI-generated avatar, you can completely elevate the experience with an avatar for your sales team members. Based on your staff schedule and vehicle specialties, you can position a specific salesperson as the respondent.
This way, your customer will have an avatar experience with the exact person they will meet at the dealership. They’ll kick off the relationship-building process, create an opportunity to brand themselves, and convey their expertise.
4. Online Experiences Shift with their Buying Journey
Dynamic websites elevate the search process from one of complexity to one of perfectly matched information and calls to action. When done well, potential customers feel cared for and seen, without an overbearing push or overwhelm of information.
Test scenarios, message timing, and promotions through dynamic web content that shifts with customer behavior. On a first-time visit, provide additional information in exchange for basic customer data like name and contact information. If this offer falls flat, your AI tool makes note of your abandonment rate to inform and improve future engagements.
AI can customize browsing experiences based on what is known about a customer and use similar customer profiles for missing variables. For example, a potential buyer is looking at used minivans online priced under $30,000. With this limited information, the site can shift to display what existing data determines to be most likely.
Oftentimes, those searching for a used minivan may be shopping for a family vehicle, so family-friendly features are highlighted. With each click, page linger, and interaction, your site can shift to improve the browsing experience. A buyer focusing on a truck for their construction business may need more information about towing power than car seat connections.
The more personalized your browsing experience can become, the higher conversion rate you can earn. Customers see more of the information they need and less of what they don’t. This custom experience makes it easier for them to move forward through the sales process with less friction.
AI-Powered Lead Generation Helps Organizations Identify High-Value Customers on Repeat
Spend less time analyzing spreadsheets and more time connecting potential customers with the products and services they need. Today’s salesperson isn’t a gatekeeper of information – they’re a connector of solutions to your customers’ real-life problems. With an AI tool for lead gen, companies can focus their time on serving customers exactly when they’re in need.
Photo by Vitaly Gariev: Unsplash
