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Intempt

Turn a usage spike into an expansion conversation while it's happening

Fast user growth or multi-team usage on an account is a real expansion signal, and it's easy to miss without a workflow watching for it. This fires role-specific content to the champion and the economic buyer the moment it crosses a threshold.

Marketingjourney-builderB2BSaaSAdvanced7 steps6 outputs
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Attribute Segment Content Asset Recommendation Journey Dashboard
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What it does

When existing paying customers cross usage thresholds - fast user growth, feature-depth expansion, multi-team usage - fires a multi-stakeholder expansion journey: the champion gets 'you're scaling' content, the economic buyer gets upgrade-options content, and a recommendation surface highlights expansion features.

You get

a multi-stakeholder expansion journey triggered by a real usage threshold

How it works

1

Score the expansion signals

create_ai_attribute

A 0 to 100 score on the account from how fast new users are joining from their domain against the last 90 days, whether each user is reaching for more features, whether several teams or functions have come on, how close they are to their seat, API, event or storage limits, and any new integrations. It also says which of those signals are firing.

Produces:Attribute
2

Find accounts outgrowing the plan

Create Segment

Paying accounts scoring 70 or more in the last 14 days with no expansion deal already running, split by the dominant signal: user growth, feature depth, or hitting a limit.

Produces:Segment
3

Write to the champion

Generate Content

To the most active user at the account, matched to the signal. Growing team: how teams at this size stay organised. Deeper use: they are ahead of 85% of similar accounts, and here is what comes next. Near a limit: the options. Peer to peer, so the champion feels proud rather than sold to.

Produces:Content Asset
4

Write to the budget holder

Generate Content

To the admin, manager or finance owner who does not use it day to day. Growing team: usage grew this much last quarter, here is the value delivered. Deeper use: top 15% by depth, let us talk options. Near a limit: upgrading against what the overage costs. Each carries an ROI snapshot, with replies going to the assigned AE.

Produces:Content Asset
5

Show the plan above theirs

create_recommendation

An in app panel on the admin dashboard, also used inside the emails, listing the higher tier features this account would benefit from given how they already work, with a plan comparison for whoever decides.

Produces:Recommendation
6

Work the account over two weeks

Create Journey

Champion email on day 0. The upgrade comparison appears for admins at their next session on day 3. The budget holder gets the ROI email on day 7. If no meeting is booked by day 14, the AE gets a task carrying the signals, the decision makers and a recommended package. The panel stays up for 60 days. It closes on a meeting, an upgrade, a new deal, or the score falling under 50 for 30 days.

Produces:Journey
7

Measure the expansion it makes

Build Dashboard

Signals per week by type, how many turn into meetings and into deals, the ARR added against a control, which signal converts best, and what this play contributes to net revenue retention.

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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