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- Why it matters: Top-of-funnel health indicator. driving initial interest.
- Tracking: Google Analytics 4 (GA4), individual ad platform dashboards (Google Ads, Meta Ads, LinkedIn Ads), social media analytics.
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Lead Conversion Rate (LCR): Helps identify
- What it is: Percentage of website visitors (or audience members exposed to an offer) who convert into a raw lead (e.g., fill out a form, download a lead magnet).
- Why it matters: Measures the effectiveness of your lead magnets, landing pages, and Calls-to-Action (CTAs).
- Tracking: Calculated on landing pages, forms, and ad platforms. Example: (Number of Leads / Number of Website Visitors) * 100.
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Marketing Qualified Leads (MQLs) & MQL Conversion Rate:
- What it is: Leads that meet predefined criteria (demographic, firmographic, behavioral) indicating a higher likelihood of becoming a customer, and the finland telegram number database 10,000 package of raw leads that become MQLs.
- Why it matters: Indicates marketing’s ability to qualify leads before handing them to sales, ensuring sales focuses on high-potential prospects.
- Tracking: Defined and tracked in MAPs albania business directory lead scoring. MQL Conversion Rate: (Number of MQLs / Number of Raw Leads) * 100.
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Sales Qualified Leads (SQLs) & SQL Conversion Rate:
- What it is: MQLs that sales has reviewed, accepted, and determined worthy of a sales conversation or active pursuit, and the percentage of MQLs that become SQLs.
- Why it matters: Represents true alignment between sales and marketing on lead quality. A high SQL rate indicates marketing is delivering ai agentic workflows: how to implement them sales-ready leads.
- Tracking: Primarily in the CRM. SQL Conversion Rate: (Number of SQLs / Number of MQLs) * 100. Sales Acceptance Rate of MQLs is also critical here.
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Opportunity-to-Win Rate / Close Rate:
- What it is: Percentage of opportunities (derived from SQLs) that convert into closed-won deals.
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- Why it matters: While primarily a sales metric, marketing influence can impact this. A low rate might suggest lead quality issues or a mismatch between marketing messaging and sales reality.
- Tracking: Primarily in CRM.
III. The Supporting Wind: Engagement & Velocity Metrics
These provide deeper insights into lead behavior and funnel efficiency.
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