Insights

An insight is a saved chart. Start one from Insights → New insight, then pick the type. The chart updates as you edit.

TrendsCopy Anchor Link

A trend plots one or more series over time. Each lettered row (A, B, C…) is a series: an event (or All events) and a measure.

Above the chart:

• Date range: from the last 24 hours to all time.
• Interval: hour, day, week (weeks start on Monday) or month.
• Compare → Previous period draws the period before as a muted line and shows the change.
• Display: line, area, bar, a big number, or a table.

The total for a series covers the whole date range. For unique people, that's distinct people over the whole range, not the sum of the daily numbers.

FunnelsCopy Anchor Link

A funnel counts how many people complete a series of steps in order, within a time limit:

• SaaS activation: signed_up → project_created → invite_sent
• Checkout: product_viewed → product_added → checkout_started → order_completed

Add 2–12 Steps. Under Options:

• Convert within … days: how long people have from the first step to finish.
• In order lets other events happen between steps. Strict ends the attempt if a later funnel step happens too early.
• Count people or Count companies (or another group type). Counting companies moves an account forward when any teammate does the next step, which is what you want for B2B activation.

The chart shows each step with the lost share hatched, and the table lists counts, conversion and drop-off. Each person counts once, using their furthest attempt.

RetentionCopy Anchor Link

Retention answers of the people who started in a given week, how many came back? Pick two events:

• the cohortizing event that marks the start, such as signed_up or the first order_completed;
• the returning event that counts as coming back, such as project_opened or order_completed.

Under Periods, choose day, week or month and how many columns you want.

Each row is a group of people who started in the same period. Column N is the share who did the returning event N periods later. Some things to know:

• A person lands in the row of their first start event within the date range. For "new users" retention, use an event that happens once, like signed_up.
• The average row weighs big cohorts more, and leaves out cohorts that haven't reached a column yet. If one cohort is much bigger (a launch or a campaign), look at the rows as well.
• Hatched cells haven't happened yet.

A curve that flattens out instead of dropping to zero means you have a core of retained users.

PathsCopy Anchor Link

The most common routes people take through your pages or events, drawn as a flow. Each column is a step, and the width of a band is how many sessions (or people) went that way.

• Steps are pages, custom events, or both.
• Starting at shows what happens after a page or event, such as everything people do after /pricing.
• Ending at shows what leads up to it, such as the three steps before signed_up.
• Choose up to 8 steps, and one path per session or per person.

Reloads are merged, and the most common 7 destinations per step are shown. The table under the chart lists the top transitions.

LifecycleCopy Anchor Link

Pick what counts as being active, such as board_opened. Each day, week or month, the people who did it are split into:

If new and resurrecting bars outweigh dormant, the active group is growing. The current period has no dormant bar until it ends.

StickinessCopy Anchor Link

How many days (or weeks) in the date range each person did something. With the last 30 days, the bar at 1 is people who did it once and the bar at 20 is people who did it on 20 different days. Bars leaning right mean a habit. Compare up to five events, such as two features.

Filters and breakdownsCopy Anchor Link

Filters narrow a series, a step or the whole chart. You can filter on:

• an event property, such as utm_source = newsletter;
• a person property, such as plan is one of pro, business;
• a group property, such as the company's industry;
• a cohort: in, or not in, a cohort.

Breakdown splits the chart into one line (or one funnel) per value: per browser, per plan, per country, or per cohort to compare power users with new users. Only the most common values are shown (10 by default). Empty values show as (none). In funnels, the value comes from the first step, so someone who signed up on mobile counts as mobile even if they bought on desktop. Segments with fewer than 30 people are stippled: treat them as anecdotes.

Retention has no breakdown. To compare groups, save one retention insight per cohort.

Save and reuseCopy Anchor Link

Give the insight a name, or leave it empty and Datahop names it from the query. Click Save insight, or Add to dashboard to save it and place it on a dashboard in one step.

• Add a description to say what's included ("excludes test accounts"). Teammates and agents search descriptions before building a new chart.
• Saved insights are shared with the whole project. The list shows who made each one, including agents.
• Under the chart, Summary · what agents see shows the plain-text summary an agent gets for the same chart.
• Results update when you open the insight. Numbers can be up to a minute old.