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Intempt

Catch users before they give up, not after they've already left

By the time someone churns after hitting friction, the moment to help them was long gone. This detects the friction signal itself - an abandoned setup, a repeated failed action - and escalates help in real time.

Marketingjourney-builderSaaSAdvanced7 steps6 outputs
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Attribute Segment Content Asset Agent Journey Dashboard
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What it does

When behavioral signals detect friction - abandoned setup, repeated failed actions, an error, or drop-off at a conversion step - fires a graduated intervention: in-app help first, then email tutorial, then human or agent escalation if friction persists.

You get

a graduated help escalation triggered at the moment friction happens

How it works

1

Detect where people get stuck

create_ai_attribute

Watched in real time: three or more failed attempts at the same button or form in one session, a multi step setup left unfinished for over 24 hours, errors with no successful retry, help pages read with nothing done after, and rage clicks or rapid back button use. It records the kind of friction, where in the product it happened, how severe it is, and what to do about it.

Produces:Attribute
2

Group by where they got stuck

Create Segment

Users with a moderate or severe friction signal in the last 7 days, refreshed live and split by where in the product it happened. Anyone this journey is already helping is left out.

Produces:Segment
3

Help them inside the app

create_page_content

Abandoned setup gets a tooltip at the step they left, carrying the answer to the usual blocker. Repeated failures get a help bubble showing what most people do, with a short clip. An error gets a plain explanation where it appeared. A long pause on a critical step gets a comparison guide or a recommendation. All of it renders mid session, while it is still fresh.

Produces:Content Asset
4

Email the fix if that misses

Generate Content

Sent when the in app help was ignored or the session ended before it could show. The subject names the exact step. The body is a 60 second tutorial, by video or screenshots, with a one click link back to where they left off.

Produces:Content Asset
5

Offer to walk them through

create_agent

An AI agent for severe friction that in app help and email both missed. It opens knowing the step they are stuck on and offers to walk through it, to escalate to human support for technical or account problems, or to file the friction as a bug. It never pretends to be human, and it hands over if it cannot resolve things in three turns.

Produces:Agent
6

Escalate if they stay stuck

Create Journey

In app help right away, mid session. Four hours later an email with the tutorial and a resume link, if they left without finishing. After 24 hours the agent, or a CSM task for high value accounts, if the friction is still live. They leave when the step is completed, or after they dismiss the help three times.

Produces:Journey
7

See where the product traps people

Build Dashboard

The ten places friction happens most, how often the in app help gets dismissed, which level of escalation actually resolves it, whether severely stuck users go on to churn, and the activation lift this play produces.

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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