Give every teamone view of the customer.
Bring traffic, product usage, and revenue onto one customer profile so every team reads the same number.
0.0on G2The category: Analytics
Three blind analytics layers. Google Analytics tracks pageviews. Amplitude tracks funnels. ChartMogul tracks MRR. Not one connects a click to a dollar. You know that revenue moves, not why.
Revenue, web, and product analytics on one identity graph - the strategy layer underneath every GTM decision, not three separate dashboards to reconcile. First touch to final dollar. Dashboards live in minutes, the Data Analyst agent explains every driver.
Give every team the same customer view.
Marketing, product, and finance read the same record instead of arguing about whose tool is right.
- Land every touch and every payment on one profile
- Remove the join between marketing and product data
- Stop reconciling three dashboards before a meeting
See how customer touchpoints connect to revenue.
The campaign, the click, the visit, and the order are all on one timeline, so attribution is a lookup.
- Tie the order back to the email, SMS, ad, or organic visit
- Follow one person across sessions and devices
- Attribute the revenue rather than the last click
See who finds value and who starts to drift.
Funnels for where people drop, retention for who comes back, paths for the route they took.
- Trace every step and find the one that loses people
- Group retention by day, week, or month
- Compare cohorts by how they arrived
Explain revenue changes with real behavior.
New, expansion, contraction, and churn, next to the behaviour that caused each one.
- Read revenue movement rather than a single total
- Sit MRR and retention beside product usage
- Switch any report to accounts for B2B
Let Blu build the report for you.
Describe what you want, and Blu builds it, then saves it to your board like any other report.
- Say it in a sentence: get a funnel, retention, path, or insight
- Keep it, because the query is fixed once you save it
- Check what it queried
Start learning as soon as data arrives.
Dashboards fill with your own data as soon as events start arriving.
- See real numbers in the first session
- Skip the modelling project and the data team ticket
- Build your own reports once the defaults run out
Connect the data, use the dashboards, then ask Blu for the questions they do not answer.
GA tracks pageviews. Amplitude tracks funnels. ChartMogul tracks MRR. None connect a click to a dollar.
Hire a data analyst to build reports nobody reads.
Pay a consultant $5K to tell you what your own data means.¹
Screenshot a chart. Paste it in Slack. Argue about what it means.
Churn surprises you at the end of the quarter.
One snippet. Revenue, web, and product analytics on one identity graph.
Click any number. See the actual people behind it.
Ask Blu. Get the answer and the fix in one sentence.
The Data Analyst writes the weekly summary. Flags what changed. Says why.
Every user scored 0-100 for churn risk. Updated live.
The offer
Here's what this would cost you the old way.
Total value
$0
Your price
$0
One snippet. Every dashboard live. The Data Analyst explains the why. Free.
No credit card required
The platform your data team was supposed to build
Revenue, funnel, retention, channel dashboards
Pre-built, live on arrival
Click any metric to see the users
Not percentages. Actual people.
Auto-capture with one snippet
No event taxonomy to define upfront
Segment builder + 100K events/mo
Rule-based segments, auto-updating
The consultant you were about to hire
Churn risk scores (0–100)
On every user, updated live from behavior
RFM segmentation
Champions → Lost, auto-classified
The Data Analyst explains why metrics moved
Ask a question, get the driver
Top fixes ranked by dollar impact
Highest-impact moves first
First touch to final dollar. Every metric explained.
Dashboards, insights, funnels, retention, and paths on one identity graph. The Data Analyst agent connects the click to the dollar and explains every driver.
Ask a question.
Get the dashboard and the answer.
Describe what you want to know in plain language. The Data Analyst agent reads your live data, builds the view, identifies the specific driver behind any metric movement, and ranks fixes by dollar impact.
Ask a question, get a live dashboard - not a static chart
The Data Analyst agent builds the view and keeps it updated
Every answer links to the user segment driving the change
Click through from insight to the people behind it
Fixes ranked by dollar impact so you know where to start
Highest-impact moves surfaced first
Built for the outcomes that matter.
Five analytics use cases teams run on Intempt.
Wired into the toolsyour team already opens.
Slack, Stripe, Twilio, SendGrid, Gmail, Google Calendar, Firebase, Apache Kafka, AWS. Blu Agent operates them for you without a browser tab.
Teams love it
They stopped stitching tools andhired one system.
StockInvest
“Acquisition and retention finally feel like one connected motion instead of two separate problems.”
Jim Stromberg
CEO, StockInvest
FieldsUSA“We finally have one system that sees the whole customer journey.”
Eric Gardner
COO, FieldsUSA
Hoperfy“With Intempt, we built a signal-led pipeline driven by real behaviors.”
Tadas Kertenis
Co-founder, Hoperfy
Frequently askedquestions.
Everything you need to know before you sign up.
- Because each one sees its own slice and identifies people its own way. Your web tool counts a session, your product tool counts a user ID, your store counts an order, and nothing joins them. In Intempt they are the same person, so there is one number rather than three that need reconciling.
Sources
- 1.Cometly (2026), OuterBox. Project-based attribution audits range $2,500–15,000; at $150–300/hr, a $5,000 engagement ≈ 17–33 hours.
- 2.Fiverr, Careery, Upwork. Freelance analyst retainers for weekly reporting range $300–1,500/mo; 2–3 hrs/week at $50–100/hr.
- 3.Elevated Signal (2026), Clutch (2026), iKemo (2026). Done-for-you BI dashboard builds $5,000–25,000; basic analytics setup for small businesses $5,000–15,000. $2,000 reflects a lightweight single-dashboard engagement.
- 4.Fast Data Science, Reforge (2026). Custom churn prediction models typically 20–40 hrs of data science consulting at $100–250/hr ($2,000–10,000). SaaS churn tools (e.g. ChurnZero, Gainsight) start at $1,000–3,000/mo.
First touch to final dollar. One snippet.
The only analytics that connects a click to a dollar. Dashboards live in minutes, The Data Analyst agent explains every revenue driver. Free.