Even though your marketing priority may be getting as many leads as possible, every lead doesn’t have the same needs. Some leads may barely be starting to look into potential solutions. Other leads may be ready for a sales call. And other leads will never convert.
So how can you find out which leads need what?
That’s what lead scoring is all about.
- What Is Lead Scoring?
- How to Build Your Own Lead Scoring Model?
- Lead Scoring Examples
- 3 Lead Scoring Templates You Can Use to Get Started TODAY
- Lead Scoring Software
What Is Lead Scoring?
Lead scoring is a methodology used by marketing and sales teams to rank your leads that’s based on their conversion potential.
Start with your leads. You can find them organically, purchase them, or utilize sales prospecting. Once you have your leads, you can determine their conversion potential with information about their behavior, their place in their buyer’s journey, and their need for your solution. Then you can assign them a numerical value to qualify each attribute and accurately score them. The better they perform in each area, the more points they get.
After each lead is properly scored, you can use a technique like BANT to qualify them and make sure you’re approaching the person with purchasing authority.
When done correctly, lead scoring can streamline your sales funnel. It lets you know which leads you can send directly to your sales team, and place the ones that aren’t ready in nurturing campaigns.
There’s no such thing as a universal lead scoring system for every company. A good lead-scoring model is built with your ideal customer in mind. It should accurately score as many leads as possible in as little time as possible.
The efficiency of the lead scoring system is determined by the improvement of your conversion rate.
How to Build Your Own Lead Scoring Model
Since lead scoring is different for every company, you can build a lead scoring system that adapts to your needs. Here’s the step-by step process…
Define the Components
First, you need to define who your ideal lead is. Take these attributes into account…
Especially in B2C companies, you need to start by checking these attributes. If you have a B2B business, you also need to check the personal attributes of the person with buying authority.
You can usually get this data via forms your leads filled out on your website, their professional profiles on platforms like LinkedIn, or direct conversations.
Here are some of the personal attributes you should take into account:
- Job title
For example, consider designing your ideal lead for a PC game. Your research shows that the ideal targets are males who are 18 to 45 years old, have at least a high school diploma, and make less than $90,000 a year.
Since their job title and department matter less than their gender or age, they should be scored accordingly.
If your company is selling B2B solutions, your ideal client should be the business that best fits these demographics:
- Company size
- Company age
- Estimated yearly revenue
- Company value
An office-space company may determine that their ideal client is a company that’s less than two years old, has a maximum of ten employees, and is focused on virtual solutions. They can also estimate their budget for office space, based on their company’s revenue.
Behavior and Engagement
A lead’s behavior can tell you a lot about their readiness to buy. Here are some of the most important attributes:
- Email engagement
- Social engagement
- Visited pages
- Pattern while navigating websites
- Filed forms and requests
- Inside sales history
You can determine the most important user behavior by examining the leads that have already become buyers. This data can tell you which forms are the most valuable (such as a demo request form) and which pages are the ones they visit before buying (such as the pricing page).
You should also look at their level of engagement. If a lead filled out all the most important forms but hasn’t visited your website in a few months, they may not be a qualified lead anymore.
Your lead’s behavior and engagement can help you both improve your sales technique and score them accordingly.
Prioritize the Components
Once you’ve collected all the data, how will you know which one matters most? How can you prove causation, not just correlation?
The first step should be establishing good communication with your sales team. Your sales team knows a lot about the leads that will end up converting and the ones that won’t. What needs does the typical customer have? What about their characteristics? Which parts of the marketing materials are they more interested in?
Next, talk to your customers. Find out more about their needs and demographics. Why did they end up buying? You can pinpoint this information through interviews or online forms.
Finally, check the data. Use your analytics to identify the hard data associated with your converted leads. Which content did they download? Which pages did they view? Which campaigns were they engaged in?
You should also check the information about the leads that didn’t convert. This tactic will help you identify issues with your sales strategy, as well as behaviors you should consider when scoring your leads.
Once you’ve spoken with your clients and sales reps and checked your analytics, it will be easy to identify the data that matters most.
Calculate Lead Score
Now that you know which data is most important, you need to calculate your lead’s score accordingly. Here are the three main ways to calculate this score…
1. Manual lead scoring
This scoring can be very time-consuming. So it’s usually better when you have a few leads that need personal attention (such as someone who needs help selling high-priced items).
Start by calculating your lead-to-customer conversion rate. This rate is the percentage of leads that end up converting. If you acquire 100 leads and convert 20, your lead-to-customer conversion rate is 20%. This number will act as a starter metric to gauge future successes.
Once you’ve calculated your conversion rate, define the attributes of your ideal leads via the information we provided above. Then assign point values to them: the more important the attribute, the higher the value.
Finally, go through your leads and rate them according to the attributes you decided on.
2. Logistic regression scoring
This scoring is achieved through data mining techniques. You can program or build a formula in a spreadsheet that mathematically calculates the chances of the conversion of a lead, based on the data you input.
This type of scoring is great when you can acquire all of your leads’ data. Once you’ve built the formula, your spreadsheet can instantly give you the score, based on the data. This formula will simplify the whole sales cycle.
3. Predictive lead scoring
This scoring has a hands-off approach. It leaves the decision-making to automated processes that analyze potential leads, their attributes, and their behavior. Then it rates them automatically. You can manually improve this lead scoring system, in order to make it even more accurate.
Although predictive lead scoring is more expensive, it ends up being cheaper in the long run, particularly if you need to manage hundreds or thousands of leads.
Lead Scoring Examples
Looking for examples? Let us show you lead scoring in action…
1. Scoring based on technographic information
You can tell a lot about a company based on the technology they use. By paying attention to the systems your prospects utilize, you can more easily figure out which solutions they need and score them accordingly.
You can look for these kinds of technographics:
- Content management system
- Customer relationship management (CRM)
- Email service provider
Say you’re selling a SaaS that integrates with certain CRMs. Your scoring system could look something like this:
- +30 points for using CRM that integrates with your SaaS
- 0 points for not using a specific CRM
- -30 points for using CRM that doesn’t integrate with your SaaS
Since companies that already use a CRM probably won’t be interested in a solution that doesn’t integrate with it, you should reduce their score based on it. Let’s say you’re starting to score two leads: A and B. Here’s the way this scoring would look:
- Lead A uses CRM that integrates with your SaaS: +30 points
- Lead B uses a CRM with no integration with your SaaS: -30 points
Since that’s a difference of 60 points, make sure you add negative points in the places where it makes the most sense.
2. Scoring based on personal and professional data
You can divide user data into two categories: personal and professional. The data you’ll be awarding the highest score to will depend on what you’re selling and who you’re selling it to.
If you’re selling directly to a consumer, you may need to more closely examine their personal data. But this data may not be important if you’re selling to a business.
For example, a B2B company selling office supplies may score their leads in the following way:
- +50 points for employees in the purchasing department
- +50 points for upper management employees
- +15 points for salespeople, accountants, and HR
- -25 points for self-employed people
Since both the purchasing department and upper management have the same level of authority to make purchases, they’ll be awarded the same number of points. But self-employed people have less need for office supplies, so their score should be lower accordingly.
Let’s find out how this scoring would work with Lead A and Lead B from the previous example. After checking their professional information, you figure out that Lead B is in charge of their company’s purchasing department, but Lead A is self-employed. Then after factoring this information in, here’s the way your leads’ scores would look:
- Lead A: 5 points
- Leab B: 20 points
As you can see, the more you know about your leads, the better you can score them.
3. Scoring your leads based on behavior
Behavior is the most common (and most valuable) variable used for lead scoring. As we’ve already mentioned, behavior is a strong factor when determining purchase intent.
Since you can measure many behavioral factors, you may decide to award fewer points but measure more factors. For example, your behavior score can end up looking this way:
- +3 points per email opened
- +5 points per email interaction
- +20 points per webinar attended
- +15 points per form filled out
- +15 points per eBook downloaded
- +2 points per page visited
The more common the behavior, the fewer points it should get. Likewise, the more engaged the lead is with your website, the more products they should get.
Again using the previous example, let’s say Lead A has opened two emails in the last month, interacted with one, and visited four pages. While Lead B has just opened one email and interacted with two pages, they have also downloaded an eBook and attended a webinar. Here’s the way their engagement would look:
- Lead A: 24 points
- Lead B: 62 points
As you can see, Lead B’s interactions indicate they’re more engaged than Lead A, even though they haven’t interacted with your website as much. Therefore, Lead B is a more viable candidate.
3 Lead Scoring Templates You Can Use to Get Started TODAY
Here are three lead scoring templates you use to start scoring leads today….
This Microsoft Excel template for lead scoring uses six types of criteria to give your leads a score up to 100. It further qualifies your leads as A, B, or C. Then you’ll know which leads to nurture and which ones to send directly to your sales team.
You can easily customize the criteria and the template, and you can save a lot of time by creating your own lead scoring system.
Huify offers you a free lead scoring template, in order to help you learn how your lead’s behavior and actions affect conversion rates. You can also interact with this template and learn more about ways you can score and quantify the characteristics of your leads.
This template is a great learning tool that allows you to see how lead scoring works in real time and find out what goes into building a successful scoring system.
For more experienced programmers, this impressive lead scoring system uses machine learning to help you score your leads. This system can train an AI to learn how to automatically score your leads in the future by accessing a large amount of historical data.
Although this lead scoring system is more advanced, it can be a great tool for someone who already has a lot of information about their past leads and programming experience that will predict leads.
Lead Scoring Software
If you want to properly and effectively score leads, you’ll need the right tools. Here are the best lead scoring tools that are currently available…
Marketo for lead scoring
Marketo Engage focuses on B2B lead management. Its automated lead scoring tool is shaped by the marketer and based on the lead’s demographics, behaviors, and desired ranks. With these tools, you can use Marketo to build workflows and smart lists based on your leads.
Marketo also provides webinars and other resources to score leads, so you can use its lead scoring tool more effectively.
Hubspot for lead scoring
HubSpot’s Predictive Lead Scoring Software allows you to automate and streamline your lead qualification process. So you can spend less time scoring and more time selling.
With machine learning, HubSpot can identify your best leads. If you want more customized criteria, you can also choose traditional scoring. Since HubSpot allows you to scale up by offering up to 25 scoring sheets, you can score different audiences with different needs.
Salesforce for lead scoring
Salesforce is a leader in CRMs, and its lead scoring feature doesn’t disappoint. With Salesforce, you can track your leads, in order to see where they come from and how they act. And to ensure all of your leads are properly developed and assigned to the right team, you can set up an automatic lead scoring system.
Pardot for lead scoring
When used with its lead grading feature, Pardot’s lead scoring can help you score leads and automatically send them to your sales or marketing team. This tool scores leads with a numerical value, based on user behavior, location, industry, company size, and job title.
Zoho for lead scoring
Zoho lets you score your leads based on demographics, behavior, survey responses, and email insights. Through positive and negative scoring, Zoho can help you eliminate cold leads and transfer the most qualified leads to your sales team.
Eloqua for lead scoring
Oracle Eloqua’s lead scoring platform is focused on increasing speed-to-lead and lead quality. It uses multiple lead scoring modules and predictive analytics, in order to score based on a buyer’s true intent. To build lead scores easily and accurately, it also combines lead profiles and behavioral data.
Infer for lead scoring
As we’ve mentioned before, Infer has powerful, predictive lead scoring software. It uses thousands of data points, including the ones in your CRM and in their extensive database. And it analyzes this data to automatically score leads for you. You can also use it to identify prospects and generate qualified leads for your business.
Pipedrive for lead scoring
Pipedrive has great lead scoring features in its lead management platform. One of its most unique features is its LeadBooster chatbot.
This chatbot works 24/7 to score new leads, automate meeting schedules, and set up questions and responses. To optimize follow-up, you can even tailor questions to different webpages.
Active Campaign for lead scoring
Active Campaign lets you score your leads based on their data and behavior. Once you’ve qualified a lead, you can automate your offer process, in order to pitch your solution right away. And since you can also set up scores for multiple products, you can offer the right product to the right lead.
BONUS: UpLead for Data Enrichment to Improve Lead Scoring Data
As you know, you need the largest amount of accurate data possible to get accurate lead scoring. How can you pursue leads when you don’t know everything you need to know? UpLead solves this issue through data enrichment.Data enrichment gathers publicly available data from millions of leads to help you build a richer lead profile . And UpLead allows you to get leads or enrich the ones you already have. Then you can manually score your leads or feed this information into machine learning software, which will score them for you.
So now you can score all of your leads, regardless of the amount of information you have on them!
Lead scoring is a vital part of your lead management strategy. A good lead scoring system will allow you to pursue the right leads at the right time, and it can streamline your whole marketing process.
If you haven’t already tried UpLead, why don’t you start enriching the leads you currently have with this platform? Start scoring your leads today!