Feature · Pipeline Tracking Software

Pipeline tracking software that remembers every move your deals make.

Pipeline tracking software is not just a Kanban. It is the audit layer that records every stage change, every next-step, every slip, every reassignment, and every engagement event so the leader can read the real story of each deal. Strkr ships the audit trail native and queryable.

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What gets tracked

The events a credible pipeline tracker records.

A pipeline that only records the current stage is a snapshot. A pipeline tracker records every event in the deal lifecycle so the current state is reconstructable. The sections below describe the events Strkr captures on every deal.

Stage transitions

When the deal moved, from what, to what, by whom.

Every stage change writes a timeline event: timestamp, old stage, new stage, actor, reason (optional). The leader can read the exact sequence of stages a deal walked. A deal that bounced Qualification to Discovery to Qualification is a flag the stage definitions are blurred.

Owner changes

Reassignments and hand-offs are captured.

When a deal is reassigned, the timeline records the old owner, new owner, and the triggering actor. A deal reassigned three times in a quarter signals an ownership policy issue. The audit log answers the retro question: who was accountable when?

Next-step edits

The rep's plan, versioned.

The next-step note on each deal is versioned. Every edit is captured. The leader can read the current next step and the four previous versions. A deal with a next-step that never changes for three weeks is a signal of silent slip.

Close-date slips

Each push to a later period is a tracked event.

When the close date moves to a later month, Strkr writes a slip event. One slip is normal. Two is a flag. Three is a dead-pipe signal. The slip count is queryable and the slip tile on the dashboard reads live.

Engagement events

Email opens, replies, meeting books.

When a stakeholder opens an email, replies, or books a meeting, the engagement event lands on the deal timeline. The leader reads the engagement signal alongside the stage history. A deal in Negotiate with zero engagement for ten days is at risk.

Field-level change log

ACV, close date, product edits.

Changes to the dollar amount, close date, product mix, or custom fields are captured per field. The leader can read the exact edit history on any field. A deal whose ACV halved in the last week is worth a conversation with the owner.

How the tracker reads

The timeline and the queryable audit.

Captured events are only useful if they are readable. The sections below describe the surfaces Strkr ships to make the audit log operational, not archival.

Deal timeline

A chronological read on one deal.

Each deal has a timeline tab that reads chronologically from creation. Stage transitions, next-step edits, engagement events, slip markers, field changes. The leader scrolls the timeline to answer "what happened on this deal and when?" in under two minutes.

Deal diff

What changed since last review.

The deal diff view shows only the events since a chosen marker (last Thursday, last Monday, last review). The leader uses the diff to pre-brief the pipeline review and does not re-read deals that have not moved.

Audit query

Any event, filtered.

The audit query surface lets the ops lead filter events by type, actor, date range, owner, or deal. "Every stage change by rep X in the last quarter" is one query. The query powers the quarterly audit and the compliance exports.

Snapshot diff

The pipeline, this week vs last week.

Beyond per-deal diffs, the snapshot diff compares the whole pipeline state to a historical snapshot. Deals that moved stages, deals that slipped, deals that entered, deals that closed. The weekly review opens on this diff.

User activity report

What did each rep do this week?

The user activity report rolls up pipeline events by rep. Stage changes made, next steps written, meetings booked, emails sent. The report is a management artifact, not a surveillance tool. The leader reads it to coach, not to police.

Export for compliance

CSV, JSON, or SIEM push.

The audit log exports as CSV, JSON, or pushes to a SIEM endpoint on a schedule. Teams with audit, SOX, or vendor-management obligations get the raw event stream. The export is permission-scoped and lands on the compliance system without manual pulls.

What the tracker enables

The questions the audit layer makes answerable.

The point of pipeline tracking is to make the hard questions answerable in seconds. The sections below are the questions Strkr's tracker handles natively, each one with the surface that answers it.

When did this deal slip?

A single event with a reason.

The slip event on the deal timeline captures the moment the close date moved. The reason field is optional but strongly suggested. Reading the slip event on a deal that is now dead answers whether the warning signs were visible earlier.

Who touched this deal and when?

The owner change history reads the full chain.

Owner changes land on the timeline as discrete events. For a disputed deal where the credit is contested at the quarter close, the owner-change log is the single source of truth. The compensation team reads it before splitting the credit.

Which stage is leaking?

The audit query runs the funnel math.

Reading stage-transition events across all deals produces the stage-to-stage conversion funnel. A hop with a low conversion rate is the leak. Strkr's funnel report ships from the audit log, which means the conversion math is derived from the actual event history, not a rolled-up field.

How long is each stage holding deals?

Dwell time per stage, from timeline math.

Dwell per stage reads directly off the stage-transition events. Average, median, ninety-fifth percentile. The dwell report drives the aging-threshold configuration. Teams calibrate the thresholds against the actual history, not against a guess.

Did engagement decay before the loss?

Engagement events plotted against stage history.

The lost-deal retro view overlays engagement events on the stage timeline. A loss preceded by thirty days of engagement decay is a different lesson than a loss that came in week one. The retro drives the next quarter's playbook.

Can I prove this to an auditor?

A readable, exportable, immutable log.

The audit log is immutable: events are append-only, actor-attributed, and timestamped. The export produces a readable CSV or JSON that a SOX or vendor audit can read. The compliance team does not need a separate audit system layered on top of the CRM.

The scale and pricing posture

The audit layer is in the box, not a meter.

Many CRM vendors charge per audit event or lock the full event log behind an enterprise SKU. The sections below describe how Strkr delivers the tracker at scale without a per-event meter or a feature paywall.

No per-event charge

Every deal event lands in the log, included.

Strkr does not meter audit events. A deal with 400 timeline entries costs the same as a deal with 40. The pricing is per seat, flat, with the audit layer included at every paid tier. The ops lead configures the retention policy, not the ingestion cost.

Retention policy

Configure how long events live.

Each tenant can configure the retention window for timeline events. Default is seven years, which satisfies SOX. Shorter retention is allowed for teams with no audit obligation. The retention is applied globally per tenant, with no object-level exceptions by default.

Enterprise retention

Longer retention via archive.

For audit-heavy environments, events can be archived to a tenant-owned S3 bucket on write. The archive is write-once and signed. Strkr retains query access to the archive. The enterprise retention is a configuration, not a separate SKU.

Permission-scoped read

The audit respects record-level access.

The audit layer honors the same record-level permissions as the CRM. A regional manager querying the audit for their region does not see events on deals outside their region. The permission model is one, not a shadow policy on the audit log.

SIEM push on schedule

For teams with a central security log.

The audit log can push to a SIEM endpoint on a schedule. Datadog, Splunk, Sumo, and others accept the event stream. The compliance team reads the pipeline audit alongside the application audit without an export pass.

Strkr

Native, flat, queryable, exportable.

The audit layer is on every paid tier, with full event capture, timeline UI, snapshot diff, audit query, and CSV / JSON / SIEM export. The seat price listed is the full price. No audit SKU, no per-event meter, no enterprise paywall for the real event log.

A pipeline that remembers every move your deals made.

Start a free trial, import your open opportunities, and watch the timeline on each deal fill in automatically. The audit log, snapshot diff, and compliance export are included on every paid tier.

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Common questions

What buyers ask about this feature.

What is pipeline tracking software?

Pipeline tracking software is the audit layer on top of a sales pipeline. It records every stage change, owner reassignment, next-step edit, close-date slip, engagement event, and field-level change on every deal. The point of the tracker is to make the real story of a deal readable: when did it move, who moved it, and what changed around the move. Strkr ships the tracker native to the CRM with a chronological timeline per deal, a snapshot-diff per week, and a queryable audit log.

What does Strkr track on each deal?

Stage transitions with timestamp and actor, owner changes, next-step edits with full version history, close-date slips with optional reason, engagement events (email opens, replies, meeting books), and field-level changes (ACV, close date, product mix, custom fields). Every event is timestamped, actor-attributed, and immutable. The deal timeline reads the full chronological history. The audit query filters across deals by event type, actor, and date range.

Can I diff the pipeline week over week?

Yes. The snapshot-diff view compares the whole pipeline state to a historical snapshot (last Thursday, last Monday, last review). Deals that moved stages, deals that slipped, deals that entered, deals that closed. The weekly review opens on the diff so the leader works what changed instead of re-reading every deal. Historical snapshots are retained by default and queryable in the archive.

Is the audit log exportable?

Yes. The audit log exports as CSV, JSON, or pushes to a SIEM endpoint on a schedule. Teams with SOX, audit, or vendor-management obligations get the raw event stream. The export is permission-scoped (regional managers cannot export events on deals outside their region) and runs out of the automation layer. SIEM destinations include Datadog, Splunk, Sumo, and generic HTTPS endpoints.

Does Strkr charge per event?

No. The audit layer is included on every paid tier with no per-event meter. A deal with 400 timeline entries costs the same as a deal with 40. The pricing is per seat, flat. Retention is configurable per tenant (default seven years), and enterprise retention can archive to a tenant-owned S3 bucket at no extra SKU.

How does pipeline tracking help with lost-deal retros?

The lost-deal retro view overlays engagement events on the stage transition timeline. A loss preceded by thirty days of engagement decay is a different lesson than a loss that came in week one. Reading the retro drives the next quarter's playbook: which signals to watch, which stages to tighten, which stakeholders to engage earlier. The retro is one view in Strkr, not a separate quarterly workshop.

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