LinkedIn Adds MQL and SQL Conversion Types for Qualified Lead Optimization

In August 2026, LinkedIn expanded the capabilities of its Conversions API by adding two new conversion types: Marketing Qualified Lead (MQL) and Sales Qualified Lead (SQL).

The update was included in Marketing API version 202608 and allows advertisers to transmit more accurate information about lead quality from their CRM systems to LinkedIn Ads.

The main change is not only the new classification of conversions. LinkedIn confirmed that MQL and SQL events can be used to optimize advertising campaigns for qualified leads.

What Are MQL and SQL?

For most B2B companies, receiving a lead is only the first stage of a lengthy sales process.

A potential customer may fill out a form, download a research report, or register for a webinar, but this does not yet mean that they are interested in making a purchase.

Therefore, companies divide leads into qualification stages.

Marketing Qualified Lead (MQL) is a potential customer who meets the target audience criteria and has shown sufficient interest for the marketing team to recognize them as a promising prospect.

For example, the marketing director of a company with 200 employees downloaded a research report and visited the product page several times.

Sales Qualified Lead (SQL) is a lead who has undergone additional evaluation by the sales department and is ready for a substantive sales interaction.

For example, a potential customer has confirmed a need for the product, the availability of a budget, and an interest in a demonstration.

Each company defines its specific MQL and SQL criteria independently. LinkedIn does not assign these statuses automatically based on a universal model.

How LinkedIn Worked with Qualified Leads Before

LinkedIn Ads already supported the transmission of offline conversions and CRM events through the Conversions API.

There was also a conversion type called QUALIFIED_LEAD, which allowed advertisers to send information about qualified contacts.

However, this single type did not allow advertisers to distinguish between leads approved by marketing and leads evaluated by sales at the conversion classification level.

For example, an advertiser could send all qualified leads to LinkedIn as one event, even though MQLs and SQLs differ significantly in their probability of closing a deal.

For detailed analysis of funnel stages, advertisers had to use additional conversion rules, naming conventions, or CRM reporting.

Another common approach was to optimize campaigns for regular form submissions.

The problem with this strategy is that a low CPL does not necessarily correspond to high-quality potential customers.

A campaign may generate many inexpensive leads but create almost no opportunities for the sales department.

What Changed in August 2026?

Starting with Marketing API version 202608, LinkedIn Conversions API supports two additional conversion type values:

• MARKETING_QUALIFIED_LEAD — a marketing-qualified lead.
• SALES_QUALIFIED_LEAD — a sales-qualified lead.

Both types complement the existing QUALIFIED_LEAD type and allow advertisers to create separate conversion rules for the corresponding funnel stages.

For example, a CRM can send an MQL event after automatically verifying that a customer matches the target audience, and an SQL event after a sales representative confirms the lead's qualification.

LinkedIn also confirmed that events of the new types can be used in the Qualified Leads Optimization Goal, similarly to the previously existing QUALIFIED_LEAD.

This means that the update affects not only reporting but also the signals available for advertising optimization.

However, using the new conversion types does not automatically switch campaigns to SQL optimization. This requires the appropriate conversion rules, campaign settings, and correct event transmission.

How to Set Up MQL and SQL Tracking

The foundation of the integration is LinkedIn Conversions API, which allows events to be sent from CRM or server-side systems.

The setup includes several stages.

1. Define qualification criteria.

   The marketing team and sales department must agree on the conditions under which a contact is considered an MQL or SQL.

   For example, an MQL may be defined by industry, company size, and user activity, while an SQL is determined after confirming a commercial need.

2. Connect the CRM event source.

   Data transmission from the CRM through Conversions API must be configured, either directly or using a supported integration.

3. Create conversion rules.

   Separate MARKETING_QUALIFIED_LEAD and SALES_QUALIFIED_LEAD types are used for the events.

4. Configure event transmission.

   When a lead moves to the corresponding stage, the CRM must send an event with the required user identifiers and conversion timestamp.

5. Verify campaign associations.

   To optimize for qualified leads, supported campaign objectives and the appropriate Qualified Leads Optimization settings must be used.

According to LinkedIn documentation, automatic association of these rules is provided for eligible Lead Generation and Website Conversions campaigns using the MAX_QUALIFIED_LEAD optimization goal.

What Will Change in Analytics?

The new conversion types allow advertisers to distinguish stages of the B2B funnel more accurately.

For example, an advertiser launches two campaigns with identical budgets.

The first generates 100 leads, of which 10 become SQLs.

The second generates 60 leads, but 20 of them pass sales qualification.

If only the cost of the initial lead is evaluated, the first campaign may appear more efficient.

However, from the perspective of cost per SQL, the second campaign potentially represents greater value.

LinkedIn allows qualified events to be included in Qualified Leads and Cost per Qualified Lead metrics, as well as used in the corresponding optimization.

Thus, advertisers gain additional opportunities to analyze not only the volume but also the quality of lead generation.

Limitations and Considerations

MQL and SQL are events generated based on advertiser data. Their reliability depends on the quality of the CRM and the correctness of qualification processes.

If marketing and sales use different definitions of the stages, the statistics will not be comparable.

Another important factor is the delay in transmitting events. In B2B, several weeks may pass between a lead submission and qualification.

Therefore, campaigns with a small number of SQLs may not have a sufficient volume of signals for stable automated optimization.

In September 2026, LinkedIn further expanded attribution capabilities by introducing a 180-day window for several conversion types, including MQL and SQL. A 365-day window had previously already been supported for these events.

This is a separate update, particularly useful for companies with long sales cycles.

However, increasing the attribution window may change the reported number of conversions without an actual increase in sales.

Finally, the introduction of new event types does not prove that SQL optimization always outperforms optimization for regular leads. Results depend on data volume, qualification quality, and advertising campaign structure.

For B2B advertisers, LinkedIn's August update represents an important step away from optimizing for lead quantity toward using CRM signals that reflect actual sales stages.

Sources

1. LinkedIn Marketing API: Recent Changes, August 2026. LinkedIn API Documentation
2. LinkedIn: Conversions API Schema. LinkedIn API Schema
3. LinkedIn: Conversions API Documentation. LinkedIn Conversions API
4. LinkedIn Marketing API: September 2026 Attribution Updates. LinkedIn API Updates