What metrics can I track in Intempt Insights?

Any metric you have data for: MRR, ARR, trial conversion, activation rate, CAC, LTV, feature adoption, page views, and any custom metric you define through tracked events. The metric selector surfaces everything available in your connected data sources.

How is Insights different from a dashboard?

Dashboards show a fixed set of pre-configured charts. Insights lets you build any metric view on demand, with any time range and any segment filter, without configuring a new dashboard first. When something moves, Intempt tells you what changed and why.

Can I segment a metric by multiple dimensions at once?

Yes. You can slice any metric by segment, channel, device, geography, plan tier, or any custom property. Layer multiple segment comparisons in a single view to see how different audiences compare on the same metric.

How does Intempt identify what caused a metric to change?

Intempt analyses the breakdown of every metric movement across all available dimensions and surfaces the slice that contributed most. When activation rate drops, it checks which cohort, channel, device, or segment drove the change and explains it in plain language.

Do I need a data analyst to use Insights?

No. Insights is built for product managers, marketers, and founders who need answers fast. The metric selector, segment filter, and time range picker are all point-and-click. Analysis happens automatically and surfaces what changed without requiring SQL.

A brass periscope rising out of the waves with a glowing lens.

Charts that tell you what changed.

Email sends, product events, and revenue on one profile, so signup to activation to paid stops being a guess. The Data Analyst agent flags the drop, names the driver, and queues the next play. No SQL, no analyst ticket.

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0.0on G2

10B+events

500M+users

7+years profitable

50+enterprises

Build any view of any metric..

Select any metric, pick your time range, apply a segment filter, and your chart renders in real time. No SQL, no analyst ticket, no waiting.

Any tracked metric available for trendingMRR, activation rate, feature adoption.
Range and comparison per chartEach chart carries its own time range and its own comparison period.
Filter on any dimensionIncluding computed segments, which keep updating while you look at them.

Your key SaaS metrics, ready before your first sprint

Slice every metric by what matters..

A number without a breakdown is a guess. Split any metric by segment, channel, device, geography, or plan tier and see exactly which slice changed most.

Several segments, one chartCompare them in place rather than building a view per segment.
Breakdowns name the sliceA move in the line resolves to the segment that caused it.
Stacked filtersLayer dimensions to reach the exact cut rather than approximating it.

Build the exact breakdown your team needs

Know what changed and what caused it..

When a metric moves, the Data Analyst agent surfaces the driver in plain language and queues the next play for your approval. Stop debugging data and start acting on what it shows.

Anomalies explained in EnglishEvery metric is watched, and a flagged move arrives with its cause written out.
Drivers rankedWhich segment, channel or event contributed most, in order.
Next action held as a draftAn anomaly queues the response, and it waits for approval before running.

Blu diagnoses your biggest growth gap for you

From raw events to metric insight, fast.

Connect your data

Connect your product, billing, and marketing sources. Intempt starts tracking events and building metric history immediately. No custom schema required before your first chart is useful.

Pick your metric, time range, and segment

Select any metric from the dropdown, choose your time range, and add a segment filter. Your Insights view renders in real time with no SQL and no analyst ticket.

See what moved and why

Intempt detects anomalies and meaningful trends, surfaces the driver in plain language, and queues the next action. You see the insight before you finish reviewing the chart.

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.

See every integration

Teams love it

They stopped stitching tools andhired one system.

Acquisition and retention are one connected motion. Personalizing the path before signup only pays off when the same system carries the user through onboarding afterward.

Anonymous traffic was not turning into registered users, and acquisition and retention were run as two separate problems. We ran Experiences on the anonymous visitor flow to put the right content and CTAs in front of each visitor, then handed new signups to automated Journeys for onboarding and deeper engagement.

455,396

users instrumented

Read the full research

Judge experiments on revenue per visitor instead of conversion rate. A variant can win on conversions and still lose on revenue, and repeat buying only shows up when the whole journey is in one view.

High-intent shoppers browsed a large, specialized outdoor catalog, and browsing, product interest and purchase history sat in different places. We unified them into one customer view, then ran real-time personalization, intent-based segmentation and timely follow-ups on top of it, judging experiments on revenue per visitor.

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Build the pipeline on observed signals. When follow-ups trigger on intent, the team spends its time on the users who are genuinely engaging.

Static lead lists and timeline-based follow-ups were hiding who was actually engaging. We ran a signal-led outbound pipeline where follow-ups fire on real behavior: outbound replies, onboarding progress and product usage.

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Frequently askedquestions.

Everything you need to know about Intempt Insights.

01 / 06

What is an analytics insights tool?

An analytics insights tool lets you pick any metric, define any time range, apply any segment filter, and see how that metric has moved over time. Intempt Insights goes further by watching every metric and explaining what changed and why. Because your email sends and your product events live on the same profile here, it can also tell you which message moved the number - the join most teams lose between Klaviyo and Mixpanel.

Intempt Analytics

Pick any metric. Understand it in seconds.

Ask Blu once. The Data Analyst agent keeps the answer current after you close the tab and flags it the moment the number moves. You hold the strategy layer - which metric matters this quarter - and nothing it queues runs until you say so. No consultant, no quarterly review.

Start for free