Show users the automation for the manual work they're already doing

Someone doing the same task five times a week, or exporting the same report repeatedly by hand, is telling you exactly which feature they need - they just don't know it exists. This detects the pattern and surfaces the fix.

Marketingjourney-builderSaaSAdvanced7 steps6 outputs

+3 more

Attribute Segment Content Asset Recommendation Journey Dashboard

Run this recipe

What it does

Detects users repeatedly performing manual workflows the product can automate - the same task 5+ times in 7 days, batch operations done one at a time, repeat exports - surfaces the relevant power feature contextually, then invites them to an advocacy program if adopted.

You get

a contextual power-feature nudge triggered by real repeated manual work

How it works

Spot work done the hard way

create_ai_attribute

Checked daily for repeated manual work the product can automate: the same report run five or more times in 7 days when scheduled reports exist, three or more manual exports in 7 days when there is an API, the same task assigned again and again when templates exist, or the same dashboard filter set 10 times in 14 days when views can be saved. Each pattern is paired with the feature that replaces it and how likely that person is to adopt it.

Produces:Attribute

Find who could automate it

Create Segment

Paying users with at least one detected pattern who have not used the matching feature, split by which feature to introduce. Anyone who has dismissed feature suggestions three times is left out, and so is anyone whose plan does not include the feature.

Produces:Segment

Nudge them mid task

create_page_content

A tooltip or card that appears while they are doing it, on the sixth manual export rather than later: how many times they have done this, a 60 second clip of the automated way, an enable now button, and a dismiss.

Produces:Content Asset

List their power features

create_recommendation

A dashboard panel with the top three patterns and the features that replace them, ranked by how likely they are to adopt, each one a line and a link. It rotates as they adopt and stays up for 30 days after detection.

Produces:Recommendation

Ask adopters for a review

Generate Content

Sent 14 days after someone adopts an automation: what it is saving them per week, then two options, leave a review with a direct link or refer a peer through the referral programme.

Produces:Content Asset

Nudge, remind, then let it go

Create Journey

The in app nudge fires live on the fifth repeat and the panel switches on. On day 3, if they did not dismiss it, an email repeats the case with a customer story. On day 14 adopters get the review ask, and everyone else is left alone: the panel stays but the pushing stops. It closes on adoption, on a dismissal, or after 30 days.

Produces:Journey

See which features stay hidden

Build Dashboard

The ten manual patterns that come up most, how often the in app nudge leads to adoption, the 30 day retention of adopters against everyone else, and how many adopters go on to leave a review or refer someone.

Produces:Dashboard

Ready to run this recipe?

Tell Blu what you need. It builds the segment, content, journey, and dashboard in minutes.

Marketing

Keep exploring

Try a free tool

Product Description Generator

Catalog-ready product copy from a few details.

Ad Copy Generator

Headlines and primary text built to convert.

Automate it

Abm Account Personalization

Visitors from your target accounts see a hero built for their industry, with their company name and relevant customer logos. Everyone else sees the standard hero.

Account Engagement Score Orchestration

Scores each account from 0 to 100 on how its whole team uses the product, then runs a different play for healthy, slipping, declining and inactive accounts.

How to build a GTM brain (and why memory is not the hard part)

Five layers, in order: capture, retrieval, source truth, permissions, feedback. Most teams build the first one and stop. That is a storage unit, not a brain.

How to use Claude for GTM: the setup I actually run

The five prompts I run as standing jobs: a morning brief, same-day follow-ups from call notes, a ninety-second account brief, a weekly account watch and a Friday pipeline read. Plus the one permission setting that makes an agent safe to leave running.

In the words of50+ live tenants.

“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

“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

“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

Your GTM. Hired.

You set the strategy. Agents run the plays. Nine AI agents across design, marketing, sales, and analytics. One customer context, tracked from first pixel to final dollar.

Start for free