The proper qualification of leads is a major challenge to best support prospects in their buying process. With this in mind, being able to properly define and score MQL and SQL is crucial. Marketing Automation allows you to automatically measure the level of qualification and maturity of your leads . How do you segment these 2 types of leads and what benefits can aligning marketing and sales teams bring to lead qualification? Summary MQL and SQL: what are the differences? How to distinguish among your leads, MQL from SQL? Aligning marketing and sales: the importance of smarketing (Sales + Marketing) Calculating the number of leads needed to reach your goals how does.

Most often it is a promising contact more or less mature in the purchase cycle of a company's product or service. The path to transforming this lead into a potential customer is therefore more or less long. This subtlety in lead maturity is at the heart of the difference between MQL and SQL: MQL or Marketing Whatsapp Mobile Number List Leads : the notion of lead appears in marketing much earlier than in the commercial prism. Generally, the collection of emails, or even contact details (surname, first name, address, etc.) is sufficient to obtain the qualifier of lead. Besides knowing the interest that these leads have shown in your product or service (by downloading content or subscribing to a newsletter for example), we still know very little about the target. SQL or Sales Qualified Leads : the qualification of leads is much more specific for salespeople.



The notion of lead is much more like that of a proven prospect, with whom a business opportunity is within the realm of the possible. Distinguishing MQL from SQL is essential because these 2 types of leads are not at all at the same level in the conversion funnel . To outline the path taken by a target to arrive at the customer stage Business Opportunity CTA lead scoring template Did you know ? The transposition of inbound marketing techniques into the commercial sphere, inbound sales , makes it possible to capture leads when they are ready to make a purchase. How to distinguish among your leads, MQL from SQL? Succeeding in effectively differentiating MQL from SQL necessarily requires a well-thought -out lead scoring strategy . Lead scoring is a method of assigning scores to leads , based on criteria specific to each company.

This can include factors such as the lead's level of engagement, the size of their company, their job title, their budget, their timeline and other specific criteria that align with your ideal customer profile.
Use lead scoring: Lead scoring is a method of assigning a numerical value to each lead based on how well they match your criteria. This can help you prioritize leads and focus your efforts on the most promising prospects.
Use automated lead nurturing: Use marketing automation tools or Gb whatsapp to send targeted and personalized communications to leads based on their level of engagement. This can help you keep leads engaged and moving through the funnel.