Pick the events, choose what to count, and read the trend. Add a formula, break it down by a property, and click any point to see the people behind it.
An insight answers “how many, how much, or how many people, over time” for any event you send, without waiting for someone to build a report. Save it and your team opens the same chart; put it on a board and it stays current.
Builder
Pick an event, or any event, and choose what to count: every event, the people who did it, their sessions or a per-person average. When the event carries a number, such as an amount, do the math on it instead.
Formulas and breakdowns
Write a formula with the series’ letters, such as B / A, and it is drawn as a series of its own. Break everything down by a property and each series is split by the same top values, so a formula lines up group by group.
Charts
Switch between a line, bars, stacked bars, a table, a big number and a pie without rebuilding anything. Read it by hour, day, week or month, add it up cumulatively, or roll a daily chart over 7 or 28 days.
Drill-down
Every point, bar, slice, table cell and big number opens the exact people or events behind it: that event, those filters, that group, those dates. From there, save them as a segment or follow what they did next.
Questions it answers
How ClickClacks answers it
One series: signup_completed, counted as unique people, by week. Turn on compare to draw the previous period behind it as a dashed line.
564
People in the week of Sep 15
Who it’s for
Build the three charts a client always asks for, such as leads by source and enquiries by page, save them, and put them on that client’s board. Next month they are already there.
Saved insights on the client’s board
One series is enough to start: trial_started, unique people, by week. Add paid conversions as a second series later and a formula for the rate between them.
A: trial_started · B: subscription_created
Track a feature’s adoption as people and as companies on one chart, break it down by plan, and click the week that dipped to see exactly who was in it.
Unique people beside unique companies
How it works
Spec sheet
from the product
FAQ
An insight counts events over time: how many, how much, how many people, split by something. A funnel follows people through a sequence of steps. Use Insights for a trend and Funnels for a drop-off.
Numeric ones. ClickClacks works out a property’s type from its recent values, and you can set it yourself in Lexicon. The builder only offers the math on properties that are numbers.
No, a chart is one or the other. Cumulative adds up counts and sums: total events, unique people, sessions, a sum, or unique companies. Rolling works on daily charts, as a 7 or 28-day average, or as a sum for totals, sessions and sums.
Each series can draw up to 5,000 points, counting every period for every breakdown value, and an hourly chart covers up to 31 days. Past that, the page asks you to shorten the range, widen the interval or lower the breakdown limit before it runs anything.
The tile follows the saved insight: change the insight and the tile changes with it. The tile takes the board’s dates and filters and draws one main series; the full chart with every series stays on the insight’s own page.
Almost. A point made by a formula, the Other group and groups from a person-property breakdown can’t be opened as an exact list, so they say why instead of showing an approximate one.
One script tag. Your first report in minutes.
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