PQLs matter because product usage is a stronger buying signal than a form fill or a content download. A user who has hit a usage limit, invited teammates, or used a core feature repeatedly has shown real intent, so sales can focus on accounts that are already getting value.
Identifying PQLs relies on product analytics that track how accounts use the product. As AI agents increasingly score and act on these signals, a human approval gate on any customer-facing outreach keeps the automation from reaching out at the wrong moment or with the wrong message.
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Mindlyft is the approval and audit layer over your AI GTM agents, every action drafted, human-approved, reversible, and logged. The first workflow is engineered free.
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