Automated qualified lead (AQL)
In short
An automated qualified lead (AQL) is a lead that has been qualified by software, using rules or a scoring model on fit and behavior, without a human reviewing it. It is passed on for follow-up once it meets set thresholds.
The term is used less consistently than MQL. Some teams use AQL for leads passed straight to sales by a bot or scoring rule, while others use it for leads that meet a lower bar than a marketing qualified lead. Define it clearly inside your own funnel before using it in reports.
How an AQL is created
- Fit rules: The lead matches your target profile on industry, size, region, or role.
- Behavior rules: The lead took meaningful actions such as a demo request, pricing visit, or repeated return visits.
- Score threshold: A combined score crosses a set number, and routing triggers automatically.
- Chat or form logic: A bot or form asks qualifying questions and routes the answers to the right owner.
AQL vs MQL and other lead stages
An MQL is usually qualified by marketing against a score or criteria, and often reviewed. An AQL stresses that the decision is automatic. A sales accepted lead has been reviewed and accepted by sales. An AQL can sit before any of them or replace the MQL stage entirely, depending on how you define it.
How to set up AQL rules
- 1. Start from closed-won data: See which traits and actions leads had before they became customers.
- 2. Set a clear threshold: Pick a score or rule set that gives sales a volume they can handle.
- 3. Route fast: Assign an owner and alert them within minutes.
- 4. Review samples weekly: Have sales mark AQLs as good or bad, and adjust rules from the feedback.
Example
Say a rule marks a lead as an AQL when the company matches the target size band, the contact is a manager or above, and they visited pricing twice in a week. The lead goes directly to an SDR queue with a note listing why it qualified.
Common mistakes
- No sales feedback: Rules drift away from what sales considers good if no one checks them.
- Thresholds too low: Flooding reps with weak leads trains them to ignore the queue.
- Undefined term: If marketing and sales mean different things by AQL, reports will conflict.
Automated qualified lead FAQs
What is an automated qualified lead (AQL)?
An automated qualified lead is a lead that software has judged ready for follow-up using rules or a scoring model on fit and behavior, without a person reviewing it first. It is then routed to sales or an SDR.
What is the difference between an AQL and an MQL?
An MQL is a lead marketing considers ready for sales based on criteria and often a review. An AQL emphasizes that qualification is fully automatic. Some teams use AQL as a stage before MQL, others as a replacement.
How do you create automated qualified lead rules?
Study the traits and actions of leads that became customers, turn them into fit and behavior rules or a score, set a threshold sales can handle, route leads instantly, and adjust the rules based on weekly sales feedback.
Are automated qualified leads good quality?
Quality depends on the rules and the data. Well-tuned rules based on closed-won patterns and reviewed against sales feedback can work well. Rules that are never checked tend to pass weak leads to reps.
