Generating leads is crucial for growing your business, but not all leads will be ready to buy right away. Some are simply doing research. Salespeople who dedicate equal amounts of their time to every lead will waste resources on those who are not serious about making a purchase.
How can salespeople identify and prioritize the best leads?
Using AI lead qualification, businesses can use artificial intelligence, lead scoring, BANT qualification and CRM automation to find the best prospects, score and prioritize them, and even reduce the time it takes to qualify a new lead.
Here’s how AI lead qualification works, why AI-assisted lead scoring helps salespeople, how businesses can use AI to qualify leads using the BANT methodology, and how these qualification standards can be used in a CRM automation workflow.
What Is AI Lead Qualification?
AI lead qualification is the process of using artificial intelligence to identify and prioritize leads based on how much they match an ideal customer profile and buying criteria.
Traditional lead qualification is usually done manually by salespeople. As they receive more and more inquiries, lead qualification tends to get deprioritized. Using AI lead qualification tools, businesses can streamline and reduce the time spent on qualifying new leads.
AI lead qualification tools analyze a customer’s requirements and use any available information about that customer to identify what stage of the sales process they are in.
For example, AI qualification tools can look at:
General customer data — industry, company size, requirements, etc.
Website visits and engagement
Sales conversations, if any
Budget and timeline, if known
What the customer is looking for in a product or service
How this customer fits into the salesperson’s ideal client profile
Based on this information, AI can sort these leads into categories. The goal of lead qualification is not to maximize the number of leads but rather to find the ones who are most likely to buy.
You can read more about maximizing sales leads here.
How Does AI Scoring Work for Lead Qualification?
AI-assisted lead scoring is used to prioritize sales leads by score. This is useful because different customers have different levels of interest and intent to purchase. Rather than trying to address every lead, salespeople should use AI lead scoring to find the most qualified leads and prospects and follow up on their specific requirements and concerns.
There are five general steps to the AI lead scoring process.
- Collect the Lead Information The lead qualification and scoring process always begins with collecting the required information about an inquiry. This can be done through a website, landing page, email, advertising campaign, and more.
For example, a real estate lead qualification form might collect the following information: the customer’s desired location, property type, budget, and when they would like to move in.
- Determine the Customer’s Qualifications Next, an AI-assisted qualification system will review the collected data against an ideal customer profile.
For a B2B sales scenario, this may include the customer’s industry, company size, location, job role, and requirements. For a real estate agent, this may include the customer’s desired property type, budget, and location.
- Evaluate Engagement and Buying Readiness Once general customer qualifications have been determined, the next step is to evaluate how engaged the customer is and how likely they are to buy. An AI lead scoring system can review the customer’s website visits, email engagement, and any previous conversations with salespeople.
Someone who has requested a product demo is likely a highly engaged buyer, but someone who has only downloaded a whitepaper or emailed a question may not be ready to make a purchase.
While it is important to nurture all leads, highly engaged prospects should receive more attention.
- Score the Lead At this point, the lead qualification scoring model has enough information about the customer to determine the next step in the sales process. This information can be used to determine how much the sales team should prioritize this customer.
For example, the following lead scoring model can be used:
Score Range Qualified Status Recommended Next Step
80 – 100 High Priority Contact the sales team
60 – 79 Qualified for Review Review requirements and contact the customer
40 – 59 Nurture Share relevant content and continue following up
0 – 39 Low Priority Further qualification may be required
These ranges are just examples, and every business should create its own lead scoring and qualification ruleset.
- Update the Prospect’s Status Finally, the sales team, or an automated CRM workflow, will update the customer’s status in a CRM database. The sales team can refer to this information to determine what to do next with that lead. Following this process helps salespeople identify the most important leads and follow up on their specific requirements.
For businesses that receive hundreds of leads every day, lead qualification and scoring can dramatically increase sales efficiency and reduce manual data entry.
What Is BANT Qualification Using AI?
BANT qualification is another lead qualification methodology that can be used with AI to help salespeople identify which leads are buying-ready and which are still in the research phase.
Using BANT qualification, salespeople evaluate leads and prospects based on the following criteria:
Budget — does the prospect have a budget for this purchase?
Authority — does the prospect have the authority to make this purchase, or do they need to consult with someone else?
Need — does the prospect really need this product or service, or are they just window shopping?
Timeline — does the prospect have a specific timeframe in which they expect to make this purchase?
Using AI lead qualification tools, salespeople can gather this information from customer inquiries, website tracking data, conversations, and CRM notes.
For example, a business owner might ask for help automating their real estate follow-ups. From this inquiry, an AI qualification system can determine the following:
BANT Criteria Information Collected
Budget Unknown — further qualification is required
Authority The person making the inquiry is the owner of a real estate business
Need They need automation for their real estate follow-ups
Timeline They expect results within the next two months
The salesperson can use this information to determine the next step in the sales process. In this case, they might want to ask the prospect about their budget before moving to the next stage.
If the information is unavailable, incomplete, or unclear, the AI system should note that it does not have enough information.
Using this system, salespeople can move prospects through the sales funnel faster while also providing relevant information and recommendations.
AI Lead Qualification with CRM: How Does It Work?
A CRM tool is used to store customer data, sales conversations, and other important information. By connecting AI qualification tools with a CRM system, businesses can store, update, and act upon customer data with minimal manual input.
Here is how lead qualification with a CRM system can work:
- Capture new leads automatically — emails, website inquiries, and advertising campaign leads can all be captured by a CRM system with minimal manual input.
This reduces data entry and ensures that no lead is missed.
- Use AI lead qualification tools — After capturing new leads, qualification tools can analyze this data and update the CRM with relevant labels, tags, and notes.
This is where most businesses miss an opportunity — qualify leads and update the CRM at the same time.
- Determine next steps — Based on the qualification results, the CRM can be used to determine what the sales team should do next with this lead or prospect.
This might include updating the lead’s status in the CRM, updating the sales pipeline, or sending an email to the prospect.
- Route the qualified lead to the appropriate sales representative — The CRM can also be used to determine which sales representative should be responsible for this lead.
The qualification results, combined with rules within the CRM, can be used to route this lead to the most appropriate sales representative.
Follow up with the customer — Based on the qualification results, the CRM can be used to send follow-up emails or messages. Automation tools might send a personalized message to the customer or a sales representative.
Update the CRM database — As the sales representative engages with the customer, the CRM database should also be updated. This way, everyone who needs to see this information can do so at a later time.
Keep qualifying leads — Qualification is an ongoing process that occurs throughout the sales cycle. As new information is received, the qualification results should also be updated. This ensures that the sales representative has relevant information about the lead they are currently working on.
Using these qualification results, sales representatives can have more relevant conversations with their prospects and move them down the sales funnel.
AI Lead Qualification Workflow: From Lead Capture to Sales Conversion
An efficient AI qualification workflow can unify multiple sales processes. Here is how lead qualification can fit into a larger sales qualification and conversion funnel.
Lead capture → Data validation and enrichment → AI analysis → BANT qualification → AI lead scoring → CRM qualification update → Sales assignment → Follow-up automation → Conversation → Conversion
As you can see, there are several steps that can be taken to qualify a new lead, and each of these steps can take place within a single platform or application.
Let’s walk through each of these steps:
Lead capture — capture new leads from any applicable source, including your website, forms, advertising campaign, and more. The goal is to ensure that every potential lead is captured, validated, and added to the qualification system.
Data validation — once new leads have been captured, this data should be validated and enriched. This often includes removing duplicate leads, correcting contact information, and more.
AI analysis — run this data through your AI qualification and scoring tools. At this point, the AI system should already have your qualification ruleset and scoring model. These tools will analyze this data and update the CRM with relevant tags and notes.
Qualification using the BANT methodology — the AI system will evaluate the prospect using the BANT criteria and update the CRM with this information as well. If any of this information is unavailable, the qualification system should indicate that further qualification is required.
AI lead scoring — score the lead using your chosen qualification ruleset, and update the CRM with this information.
Update the CRM database — this step might seem redundant, but it is useful to explicitly mention it. At this point, we want to ensure that the CRM is updated with the latest qualification and scoring results.
Sales assignment — based on these results, assign this lead to an appropriate sales representative. This could be done using a set of predefined rules within your CRM.
Follow-up automation — based on the qualification and scoring results, trigger any required follow-up automation. For example, a qualified prospect might receive a follow-up email, while an unqualified prospect might receive a nurturing email.
Conversation — The sales representative takes over at this point and uses the qualification information to determine what to do next.
Sales conversion — ideally, this conversation will lead to a sales conversion. This information can be used in the future to determine which qualification rules and scoring models are the most useful.
Depending on your tools, this entire qualification process might take place within a single application, or it might involve multiple different tools.
n8n, Make, and Zapier are three of the many automation tools that can be used to unify different qualification, scoring, and CRM tools.
Benefits of AI Lead Qualification for Your Business
AI lead qualification can be immensely valuable for your business. It can help your sales team prioritize new leads, follow up more efficiently, and keep track of what each prospect requires.
Here are some of the main benefits of using artificial intelligence for lead qualification:
Automate the initial qualification of new leads, and reduce the time spent on this process.
Reduce the time spent by your sales representatives on low-value tasks and let them focus on high-value tasks.
Standardize your qualification ruleset so that your sales representatives can consistently evaluate new leads.
Use qualification data to personalize your outreach and follow-up messages.
Use CRM automation tools to keep your qualification data up-to-date and accessible to your sales representatives.
Review this data to determine what works and what does not, so that you can continually optimize your qualification and scoring rules.
These benefits are all dependent on having high-quality data, choosing the right qualification ruleset, and continually reviewing these results.
AI Lead Qualification for Real Estate Businesses
Real estate agencies receive customer inquiries from a variety of different sources. This might include social media, real estate portals, your website, and even messaging services.
Evaluating these leads can be time-consuming, especially since many customers will have different requirements, budgets, and timelines.
Using an AI qualification system, real estate agents can prioritize these leads and follow up appropriately. For example, a customer might provide the following information:
Location — Jaipur
Property type — 3 BHK apartment
Price range — ₹70–90 lakhs
Moving in timeline — within the next 30 days
Home loan approval status — already approved
Based on this data and the qualification ruleset, this lead might receive a high score. Another customer might not have a price range or timeline, and they might be placed in the nurturing category.
Both of these prospects are valuable, but the first customer probably expects a faster response. This is just one example of how AI qualification might be used in the real estate industry.
Best Practices for Using AI Lead Qualification
Before implementing this system, there are a few best practices you should keep in mind. First and foremost, you should document and standardize your qualification rules. This way, your sales representatives — and the AI system itself — will have a reference point when qualifying new leads.
Next, you should decide what data to collect and how to validate it. Using the wrong data or low-quality data will lead to poor qualification results — so invest time and resources into this part of the process.
You should also decide when to prioritize scoring over qualification and vice versa. As mentioned above, qualification and scoring are not the same things, and one should be used in specific scenarios.
Finally, make sure that this qualification data can be used within a CRM system, and that your sales representatives have access to it. Human sales representatives should always take over when the qualification results are unclear or when the customer has special requirements.
You should also continually review these qualification results, update the ruleset as needed, and make changes based on new data.
How Does AI WorksForce Help With AI Lead Qualification?
At AI WorksForce (AWFI), we help businesses implement AI tools, CRM automation systems, qualification rulesets, and more. We start by understanding how your business works and what you want to accomplish. From there, we can identify what tools and strategies will be most useful.
Depending on your needs, one of our specialists can help your business implement the following tools and strategies:
Lead capture and qualification — We can work with your business to capture new leads and qualify them using AI-assisted tools.
AI lead scoring — These scoring models can be used to sort new leads into categories.
BANT qualification — This can be implemented as an AI-assisted qualification or scoring system.
CRM system automation — Qualification and scoring data can be used to update your CRM database and provide relevant tags, notes, and follow-up suggestions.
Sales lead assignment — This qualification data can be used to route these leads to the appropriate sales representative.
Email and messaging automation — Qualified leads can be followed up with using email and approved messaging tools.
Sales pipeline management — This data can also be used to update your sales pipeline and monitor the progress of these deals.
This is not an exhaustive list, but it gives you an idea of the kinds of tools and strategies we can implement at your business. Rather than using these tools separately, we can unify them into a single, cohesive system that helps your own sales representatives do their jobs more efficiently.
Interested in learning more? Browse our AI Sales & Outreach Solutions page to learn more about what we do.
Final Thoughts
AI lead qualification helps your business move from manually qualifying every single lead to a systematic, rules-based qualification process. This, in turn, can help your sales representatives prioritize the leads that are most likely to buy and move them down the sales funnel.
We have reviewed how AI can be used to score leads, how BANT qualification can be implemented using AI tools, and how these qualification rulesets can be implemented using CRM tools.
The most efficient strategy always depends on your resources and your specific use case — but in most cases, automated lead qualification and scoring are excellent additions to any sales team.
Want to improve your own lead qualification and sales process? Visit the AI WorksForce website to learn more about our AI-assisted lead qualification, sales outsourcing, and CRM automation services.
FAQs About AI Lead Qualification
What Is AI Lead Qualification?
AI lead qualification uses artificial intelligence to qualify a customer based on their general requirements, characteristics, level of engagement, and buying intent.How Does AI Lead Scoring Work?
AI lead scoring evaluates a customer’s data and assigns a score or label to that lead.What Is BANT Qualification Using AI?
BANT qualification determines if a prospect can move to the next stage in the sales funnel by evaluating their Budget, Authority, Need, and Timeline.Can AI Lead Qualification Integrate With a CRM System?
Yes, AI lead qualification can be integrated with compatible CRM systems.Can AI Lead Qualification Be Useful for Small Businesses?
Yes, AI lead qualification can be useful for small businesses. However, it might not always be cost-effective, depending on the volume of leads and the tools available.What Is the Difference Between AI Lead Scoring and AI Lead Qualification?
AI lead scoring evaluates a lead and assigns it a score, label, or qualification category. AI lead qualification uses this data to determine what the next step in the sales process should be.Can AI Lead Qualification Help Increase Sales Conversions?
It can, by helping sales representatives identify the best prospects and follow up with them in a timely manner.
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