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feat(cohorts): let a criterion say "never did this event" - #472

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agent/cohort-zero-frequency
Sep 1, 2026
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feat(cohorts): let a criterion say "never did this event"#472
lindesvard merged 2 commits into
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agent/cohort-zero-frequency

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@lindesvard lindesvard commented Sep 1, 2026

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What changed

A cohort event criterion can now say "never did this event": frequency Exactly 0 or At most 0. The cohort "completed signup, but never started a subscription" is buildable as Match all with signup, At least 1 and subscription_started, Exactly 0.

Three things had to change together.

The count input rejected 0. Two separate blockers: the input carried min="1", and its onChange did Number.parseInt(e.target.value) || 1, which rewrote a typed 0 back to 1 because 0 is falsy. Fixing only the first would have left the value silently coerced.

The schema rejected 0. count is now min(0), refined so 0 is only valid with eq or lte. gte 0 matches every profile, which is not a criterion at all, and allowing it would have left the query builder a third case to guess at. The operator dropdown bumps a count of 0 back to 1 when you switch to "At least", so the UI cannot build a definition the server will reject.

The generated query could not express zero at all. This is the substance of the change. The summary MVs are aggregating views fed row-by-row from events, so they hold a row only for a (project, profile, event, day) that actually happened. Every group that reaches HAVING countMerge(event_count) = 0 already has a count of at least 1 by construction, so the criterion returns the empty set. Relaxing the input without this would have shipped a cohort that looks like it works and silently comes back empty, which is worse than the input block it replaces.

A count of 0 with eq/lte now builds the inverted query instead:

SELECT DISTINCT id AS profile_id
FROM profiles
WHERE project_id = '...'
  AND id NOT IN (
    SELECT profile_id FROM event_profile_summary_mv
    WHERE project_id = '...' AND name = '...' AND event_date >= ...
  )

The timeframe stays inside the exclusion, so "never did X in the last 30 days" still includes someone who did X 60 days ago and not since, which is how the timeframe control already reads for a positive criterion.

DISTINCT rather than FINAL, deviating from the shape originally sketched: profiles is a ReplacingMergeTree, and FINAL cannot spill to disk, so on wide projects the dedup is what runs out of memory. buildPropertyBasedCohortQuery right below already avoids FINAL for exactly this reason (see the comment at packages/db/src/services/cohort.service.ts:363-366). Only the id is needed here, so deduplicating the id is enough.

Two things worth arguing about

Semantics with event-property filters. "Never did subscription_started where plan = pro" is implemented as "has no matching (event, property) row": the property predicates go inside the exclusion, against event_property_profile_summary_mv. Under that reading, someone who did the event with plan = free is a member of the cohort. The other reading — "did the event, but never with plan = pro" — is defensible and would exclude them. Object here if you prefer it; this is a choice, not an accident.

LIMIT placement in computeEventBasedCohort. The limit used to be appended to the combined query: a INTERSECT b LIMIT 10. ClickHouse applies a trailing LIMIT to the last SELECT of a set-operation chain, not to the combined result. That was survivable while every operand was a narrow event-derived set. A "never did X" operand is most of the project's profiles, so at the preview's limit of 10 the INTERSECT would have been taken against 10 arbitrary profiles and returned nothing — the exact silent-empty-cohort failure this change exists to avoid. It now wraps: SELECT profile_id FROM (a INTERSECT b) LIMIT 10. The count query alongside it already wrapped. This is a fix to existing code rather than new behaviour, so call it out if you would rather it were separate. I could not run ClickHouse in this environment to demonstrate the old shape misbehaving.

Not measured: the anti-join scans every profile in the project. Straightforward shape first, per the plan; if it is slow on a large project the fallback is a LEFT JOIN with the right side IS NULL, or narrowing the outer scan. Worth an EXPLAIN on a big project before this is relied on.

Evidence

  • packages/db/src/services/cohort.service.ts:215-234 (pre-change) — the frequency branch emits GROUP BY profile_id HAVING countMerge(event_count) <op> against event_profile_summary_mv; :191-203 is the same for the property-filter branch against event_property_profile_summary_mv.
  • packages/db/code-migrations/20-cohort-summary-mv-sort-key.ts:57-77 — both MVs are AggregatingMergeTree fed from events and grouped by (project_id, profile_id, name, event_date). No row exists for zero occurrences.
  • packages/db/src/services/cohort.service.ts:319-322 (pre-change) — criteria combine with INTERSECT / UNION DISTINCT, so each operand must be a bare set of profile_id.
  • packages/validation/src/cohort.validation.ts:50-53 (pre-change) — count: z.number().int().min(1), feeding zEventCriteria and so cohort.create / cohort.update / cohort.preview.
  • apps/start/src/components/cohort/cohort-criteria-builder.tsx:300 and :307 (pre-change) — min="1" and the || 1 fallback.
  • packages/db/code-migrations/16-restructure-profiles.ts:70-99profiles is ReplacingMergeTree(last_seen_at) ordered (project_id, id), confirming the table and key column the exclusion scans.

Tests

packages/db/src/services/cohort.service.test.ts (the file already existed, covering timeframe escaping, so the new cases were appended rather than put in a new file): eq 0 and lte 0 produce the anti-join and no HAVING and are identical to each other; the timeframe lands inside the NOT IN and not on the outer profile scan; the property-filter variant excludes on the matching property row; positive counts (gte 1, eq 2, lte 3) still produce the original GROUP BY / HAVING shape; a zero-count criterion INTERSECTs with a positive one as two compatible profile_id sets with no LIMIT or ORDER BY of their own. packages/validation/src/cohort.validation.test.ts covers what the schema now accepts and rejects.

The set-combination test needed the INTERSECT/UNION join to be reachable without a database, so it moved out of computeEventBasedCohort/countEventBasedCohort (which duplicated it) into an exported buildEventBasedCohortQuery.

Left out on purpose

  • inCohort / notInCohort in getProfileFiltersWhereClause. That switch has no case for either, so such a filter inside a cohort definition is dropped without an error and the cohort silently widens, while the same operators work at report level (buildCohortClause in filter-where.service.ts). Adjacent, not this issue. There is now a comment saying so, so it is not mistaken for working behaviour.
  • Existing cohorts. Nothing to migrate: gte 0 and eq 0 were never storable under the old min(1), so no saved definition changes meaning.

Requested in: UserJot — "Cohort frequency field rejects 0, so 'has never done event X' cannot be expressed"

🤖 Generated with Claude Code

Summary by CodeRabbit

  • New Features

    • Added support for “never did this event” criteria in event-based cohorts using zero-frequency conditions.
    • Frequency counts of zero are now supported with “equals” and “at most” operators.
  • Bug Fixes

    • Prevented invalid “at least zero” criteria that would match every profile.
    • Improved cohort query limits so they apply consistently across combined results.

"Completed signup but never started a subscription" could not be built.
The frequency input rejected 0, and even with 0 accepted the generated
query returned nothing: the summary MVs hold a row only for an event that
actually fired, so no GROUP BY over them can produce a group with
countMerge(event_count) = 0. Relaxing the input alone would have shipped a
cohort that silently comes back empty.

So a count of 0 with "exactly" or "at most" now builds an inverted query —
the project's profiles minus the ones the MV knows about — with the
timeframe and any event-property predicates inside the exclusion, so
"never did X in the last 30 days" still includes someone who did X 60 days
ago. "At least 0" matches every profile and is rejected instead.

The LIMIT in computeEventBasedCohort now wraps the combined query rather
than trailing it. ClickHouse applies a trailing LIMIT to the last SELECT
of an INTERSECT chain alone, which was survivable while every operand was
a narrow event-derived set; a "never did X" operand is most of the
project, so the preview's limit of 10 would have cut the cohort to
nothing.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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📝 Walkthrough

Walkthrough

Event-based cohorts now support eq 0 and lte 0 criteria for profiles that never performed an event. Validation, editor handling, query construction, cohort computation, counting, and tests now support zero-frequency criteria.

Changes

Zero-frequency cohort criteria

Layer / File(s) Summary
Frequency validation and editor handling
packages/validation/src/cohort.validation.ts, packages/validation/src/cohort.validation.test.ts, apps/start/src/components/cohort/cohort-criteria-builder.tsx
zFrequency accepts zero for eq and lte and rejects zero for gte. The criteria builder preserves zero counts and resets zero to one when selecting gte. Tests cover valid and invalid counts.
Never-event query and cohort composition
packages/db/src/services/cohort.service.ts, packages/db/src/services/cohort.service.test.ts
Zero-frequency criteria use NOT IN exclusions against event summary views. Property filters remain inside exclusion subqueries. Shared query construction combines criteria with INTERSECT or UNION DISTINCT. LIMIT applies to the combined result. Tests cover zero-frequency, positive-frequency, and combined criteria queries.

Estimated code review effort: 3 (Moderate) | ~25 minutes

Merge Risk: ⚪ Minimal · up to a1bf1

This change enables cohorts to match profiles that never performed an event and includes validation, query-building, and UI updates for that behavior; no actionable merge-blocking risk remains beyond normal checks and review.

Sequence Diagram(s)

sequenceDiagram
  participant CohortCriteriaBuilder
  participant CohortValidation
  participant CohortService
  participant EventSummaryMV
  CohortCriteriaBuilder->>CohortValidation: validate frequency criteria
  CohortValidation-->>CohortCriteriaBuilder: accept eq/lte zero or reject gte zero
  CohortCriteriaBuilder->>CohortService: submit event-based cohort definition
  CohortService->>EventSummaryMV: exclude profiles matching the event
  EventSummaryMV-->>CohortService: return matching profile IDs
  CohortService-->>CohortCriteriaBuilder: return computed cohort or count
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❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 41.67% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 12 functions across 5 files. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title clearly summarizes the primary change: cohort criteria can represent that a profile never performed an event.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.
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Actionable comments posted: 2

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Inline comments:
In `@apps/start/src/components/cohort/cohort-criteria-builder.tsx`:
- Line 315: Update the count handling near the parsed count value so a gte
operator with input 0 produces 1 instead of 0, matching the existing
operator-change handler behavior; preserve the current NaN fallback and other
operator/count values.

In `@packages/db/src/services/cohort.service.ts`:
- Around line 163-168: Update buildNeverDidEventQuery and its exclusion
subqueries to use the shared clix(ch) ClickHouse query builder from
query-builder.ts instead of raw SQL template strings, while preserving the
existing DISTINCT profile selection and event-exclusion behavior.
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📒 Files selected for processing (5)
  • apps/start/src/components/cohort/cohort-criteria-builder.tsx
  • packages/db/src/services/cohort.service.test.ts
  • packages/db/src/services/cohort.service.ts
  • packages/validation/src/cohort.validation.test.ts
  • packages/validation/src/cohort.validation.ts

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Comment thread apps/start/src/components/cohort/cohort-criteria-builder.tsx Outdated
Comment thread packages/db/src/services/cohort.service.ts
The count input's onChange only guarded against NaN, so typing 0 while
the operator is "At least" produced {operator: 'gte', count: 0} — a
frequency zFrequency rejects. Apply the same "At least 0 matches
everyone" clamp the operator-change handler already uses.
@lindesvard
lindesvard merged commit bad75bd into main Sep 1, 2026
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@lindesvard
lindesvard deleted the agent/cohort-zero-frequency branch September 1, 2026 20:20
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