Lead-to-MQL Rate
Lead-to-MQL Rate: Percentage of leads that become MQLs.
Formula
Lead-to-MQL = MQLs / Total leads × 100 Computable definition
The canonical formula in the GASP formula grammar. The MCP server compiles it to SQL over the datasets listed below.
metric.mqls / metric.leads Unit: percent (the formula yields an unscaled ratio)
Breakdowns
by_lead_source: one row perlead_sourcevalue
Notes: by_lead_source returns one row per lead source with both counts taken within the source, so a source that brings volume but little qualified interest shows.
Data requirements
Grain: Per lead stage date, aggregate daily · Frequency: Daily · Aggregation: aggregate (day) · Staged: no · Main source: Marketing Automation.
| Field | Dataset | Type |
|---|---|---|
lead_created_date | lead | date |
lead_id | lead | string |
mql_date | lead | date |
snapshot_date | lead | date |
Example SQL (Postgres)
SELECT (CAST(((SELECT COUNT(DISTINCT lead_id) FROM lead WHERE snapshot_date = :period_end AND (mql_date >= :period_start AND mql_date <= :period_end))) AS DOUBLE PRECISION) / NULLIF(((SELECT COUNT(DISTINCT lead_id) FROM lead WHERE snapshot_date = :period_end AND (lead_created_date >= :period_start AND lead_created_date <= :period_end))), 0)) AS lead_to_mql_rate From an agent: with the GASP MCP server, call
lookup_metric({ "name": "Lead-to-MQL Rate" }) or generate_query({ "metric": "Lead-to-MQL Rate", "adapter": "<your adapter JSON>" }).
Benchmarks
- Below 15%: Low quality leads or strict MQL criteria
- 15-30%: Average
- 30-50%: Good quality leads
- Above 50%: May indicate loose criteria