Difference Between MQL and SQL
Posted: Tue Jan 07, 2025 3:38 am
This is because the premise of MQLs is that they are handed over from the marketing department to inside sales (or sales, if there is no marketing department). The standards vary depending on the state of the leads that the department that takes over the MQLs is handling. For example, if a
company has a policy of having inside sales approach acquired leads at an early stage, the MQL standards will be relatively lenient. On the other hand, if there is no inside sales department and sales handles MQLs, it is necessary to adopt standards that take into account sales resources. Otherwise, there is a high possibility that the MQLs will not be taken care of properly even if they number database are handed over. In any case
, you will not know whether the standards you have set are appropriate until you actually try them out. It is important to adjust the standards while verifying whether any leads that should be approached have been missed and whether leads that are truly highly considered have been extracted.
SQL, which stands for Sales Qualified Lead, is often used alongside MQL.
While MQL means "relatively likely prospects created through marketing activities," SQL refers to "relatively likely prospects handled by sales." Compared
to MQLs, whose needs and implementation timeline are not yet clear, SQLs are characterized by their obvious needs, high purchasing intent, and being closer to receiving an order.
If you rely solely on SQL, your sales will dwindle.
company has a policy of having inside sales approach acquired leads at an early stage, the MQL standards will be relatively lenient. On the other hand, if there is no inside sales department and sales handles MQLs, it is necessary to adopt standards that take into account sales resources. Otherwise, there is a high possibility that the MQLs will not be taken care of properly even if they number database are handed over. In any case
, you will not know whether the standards you have set are appropriate until you actually try them out. It is important to adjust the standards while verifying whether any leads that should be approached have been missed and whether leads that are truly highly considered have been extracted.
SQL, which stands for Sales Qualified Lead, is often used alongside MQL.
While MQL means "relatively likely prospects created through marketing activities," SQL refers to "relatively likely prospects handled by sales." Compared
to MQLs, whose needs and implementation timeline are not yet clear, SQLs are characterized by their obvious needs, high purchasing intent, and being closer to receiving an order.
If you rely solely on SQL, your sales will dwindle.