Covered in this glossary: Product-Qualified Lead (PQL), Sales Qualified Opportunity, SQL vs MQL, MEDDIC, RevOps SLA, Sales Enablement, Pipeline Velocity, Domain Warmup, and SPF, DKIM, and DMARC.
PRODUCT-QUALIFIED LEAD (PQL). A Product-Qualified Lead is a potential customer who has experienced value by actually using a product, usually through a free trial or a freemium plan, and shows usage signals that suggest they are ready to buy. Unlike a marketing-qualified lead, which is based on marketing engagement, a PQL is qualified by product usage.
SALES QUALIFIED OPPORTUNITY. A Sales Qualified Opportunity is a lead that has met specific criteria to be considered ready for the sales team to pursue. It indicates the prospect has budget, decision-making authority, and a clear need that aligns with the product or service. This stage ensures sales efforts are focused on viable prospects. (Source: Mindlyft, automate post-call CRM updates.)
SQL VS MQL. SQL stands for Sales Qualified Lead, meaning a prospect ready for direct sales outreach. MQL stands for Marketing Qualified Lead, indicating a prospect that has met basic criteria but requires further validation by sales before being prioritized. The distinction helps align marketing and sales efforts by defining which leads are ready for next steps. (Source: Mindlyft, automate post-call CRM updates.)
MEDDIC. MEDDIC is a sales methodology used in B2B markets to structure go-to-market strategies by focusing on measurable outcomes and aligning with customer priorities. It helps sales teams prioritize efforts around what matters most to buyers while ensuring alignment with business goals. (Source: Mindlyft, automate post-call CRM updates.)
REVOPS SLA. RevOps SLA is a framework that aligns revenue operations teams (sales, marketing, customer success) by defining shared goals, metrics, and responsibilities to drive consistent revenue outcomes. It establishes clear expectations for collaboration and performance tracking across cross-functional functions. (Source: Mindlyft, automate post-call CRM updates.)
SALES ENABLEMENT. Sales Enablement is the process of equipping sales teams with tools, training, and resources to effectively sell products or services. It focuses on aligning sales strategies with customer needs and business goals to drive revenue growth. (Source: Mindlyft, automate post-call CRM updates.)
PIPELINE VELOCITY. Pipeline Velocity measures how quickly deals progress through a sales pipeline from initial contact to closed deal. It reflects the efficiency of the sales process and is critical for forecasting revenue and optimizing resource allocation. (Source: Mindlyft, automate post-call CRM updates.)
DOMAIN WARMUP. Domain warmup is a process of gradually introducing a company's domain to potential customers to build legitimacy and avoid being flagged as spam. It involves strategically increasing email engagement and website traffic to establish trust with both customers and email systems. (Source: Mindlyft, automate post-call CRM updates.)
SPF, DKIM, AND DMARC. SPF, DKIM, and DMARC are email authentication protocols used to verify the legitimacy of email senders and prevent spoofing, phishing, and other malicious activities in B2B sales communications. (Source: Mindlyft, automate post-call CRM updates.)
Which revenue metrics should a team actually track?
Fewer than most teams do, and consistently. A defensible core is ARR or MRR with its movement broken into new, expansion, contraction, and churn; net revenue retention; CAC alongside its payback period; win rate segmented by source; and pipeline coverage checked against your own conversion rate rather than a borrowed multiple. Metrics beyond that should earn their place by changing a decision.
Why do teams disagree about what these terms mean?
Because most of them have no standard definition and every choice is defensible in isolation. Whether disqualified deals count as losses changes win rate. Whether setup fees count changes ARR. Whether people costs are included changes CAC. The disagreement is rarely about the concept; it is about a definitional choice nobody wrote down, which is why the same metric produces different numbers in two reports.
Where do most revenue definitions actually break down?
At the handoffs. Marketing and sales disagree on qualification, sales and customer success disagree on what was promised during the cycle, and finance disagrees with everyone about what counts as revenue. Each team is internally consistent, which is what makes it hard to spot. The fix is agreeing definitions across the boundary rather than perfecting them within it.
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