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Intempt

Give SDRs a queue ranked by signal, not by chronology

Working leads in the order they arrived means the highest-value signal of the day might sit untouched until the afternoon. This ranks the queue by signal strength every morning instead.

Salesrevops-automatorB2BSaaSAdvanced4 steps4 outputs
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Attribute Report Workflow Dashboard
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What it does

Every morning, builds each SDR a prioritized daily task queue ranked by signal strength (PQL, PQA, pricing-page intent, target-account match) and recency, capped at a manageable daily volume.

You get

a signal-ranked daily task queue per SDR

How it works

1

Rank every task by signal

create_ai_attribute

A score out of 150 per task. The source is worth 50 for a product qualified account, 40 for a product qualified lead, 35 for pricing intent, 30 for a target account and 10 for a cold follow up. Signals under a day old are multiplied by 1.5 and anything over a week by 0.4, ideal ICP fit by 1.3 and marginal by 0.5, and enterprise accounts by 1.5.

Produces:Attribute
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Cut it to 25 a day

build_insights_report

Per SDR, the top 25 open tasks by that score, each showing the signal, the account, its ICP tier, how many days since the signal fired, and a suggested opening angle. It stops at 25 because that is roughly what one person can work in a day.

Produces:Report
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Deliver it at 8am

Create Workflow

Every working day in each SDR's own timezone: it rescores the open tasks so overnight signals count, builds each queue, sends it by Slack DM with a link per task, and gives the manager the team picture, including anyone under 10 tasks or over 50. Weekends and holidays are skipped.

Produces:Workflow
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Check the ranking is right

Build Dashboard

How many SDRs actually get their queue, how many tasks they work against how many they were sent, whether the top five convert better than the rest, and a leaderboard on how fast signals become meetings.

Produces:Dashboard

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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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