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Intempt

See exactly how long a lead sits at MQL before becoming SQL

MQL-to-SQL conversion rate alone doesn't tell you if leads move fast or rot in the queue. This tracks the real qualification funnel with velocity at every stage, so a slow SQL handoff shows up even if the eventual conversion rate looks fine.

AnalyticsData AnalystB2BQuick setup1 step1 output
Report

Report produced by this recipe.

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What it does

Builds a lead-to-MQL-to-SQL qualification funnel from real lead_stage_changed transitions, with time-in-stage velocity measured at each step.

You get

a lead qualification funnel with stage velocity

How it works

1

Track leads through qualification

build_funnel_report

A five step funnel over 90 days from lead created to MQL, deal created, completed demo and closed won, split by the top 6 sources, with median time per stage. Flags sources under 20% from MQL to SQL or under 15% from SQL to won.

Produces:Report

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In the words of50+ live tenants.

Jim Stromberg, CEO at StockInvest

We were losing visitors before they signed up. Intempt's personalized experiences changed that - we started meeting people where they were instead of guessing. Once they're in, Intempt's automated email takes over and keeps the relationship moving. Acquisition and retention finally feel like one connected motion instead of two separate problems.

Jim Stromberg

CEO, StockInvest

Eric Gardner, COO at FieldsUSA

Intempt helped us turn real browsing and purchase signals into personalized experiences that drive repeat buying. We finally have one system that sees the whole customer journey.

Eric Gardner

COO, FieldsUSA

Tadas Kertenis, Co-founder at Hoperfy

With Intempt, we built a signal-led pipeline driven by real behaviors. Follow-ups are triggered by intent signals instead of timelines, so we only focus on users who are truly engaging.

Tadas Kertenis

Co-founder, Hoperfy

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