Built for CRM admins

The CRM that treats the admin as a first-class user, not an afterthought.

CRM admins carry the hidden work: fields, workflows, deduplication, role scoping, data hygiene, migration, and the Slack messages from reps who cannot find a record. Strkr ships admin tooling as a product surface, not a settings graveyard.

What this audience is actually dealing with

The pains that bring buyers here.

The CRM admin job description does not list "spend eight hours a week on data hygiene" but it should. The five pain points below are what we hear from admins at mid-market companies on intake calls. If more than two of these sound familiar, the current CRM is the problem.

Field sprawl

240 custom fields, 42 of which get used.

Every quarter someone adds a field for a one-off campaign. Nobody deletes anything. The contact card becomes a six-screen scroll where the fields reps need are buried under fields nobody touches. Strkr's field-use report shows exactly which fields have data in the last 90 days and lets the admin archive the rest without data loss.

Duplicate records

Three records for one person.

Marketing adds a form fill. Sales imports a trade-show list. An SDR fat-fingers a lookup. Three records for one person, three different owners, and the metrics are off by 11 percent before anyone notices. Strkr's dedup pipeline runs continuously with confidence-scored matches surfaced in a merge queue the admin can clear in 20 minutes a week.

Role model complexity

Who should see what, and nobody can explain the rules.

A six-year-old CRM accumulates role rules nobody wrote down. The admin spends 11 minutes per permission question because the model takes three screens to decode. Strkr's role matrix shows every permission for every role on one view with the ability to simulate "what would this user see" without logging in as them.

Workflow debugging

A flow fires 4,000 times and nobody knows why.

A flow that was supposed to run once per deal somehow fires on every record edit. The admin spends a day tracing the condition. Strkr's flow builder ships with run history, step-level logging, and a "simulate this trigger" tool. The admin finds the misconfigured condition in 10 minutes.

Report rebuild time

Three days to rebuild one report after a schema change.

When the admin changes a field or renames an object the dependent reports break. Rebuilding takes hours per report. Strkr's report builder tracks field dependencies and shows which reports will break before the admin saves the schema change. Rebuilds happen in bulk with a preview, not one report at a time.

The admin console

One surface for every admin job.

The admin console is the admin's equivalent of the pipeline board: the one surface they open every morning to see what needs attention. The cards below are the primary jobs on that surface.

Field-use report

What has data, what does not.

The field-use report shows every custom field with record count, fill rate (percent of records with a non-empty value), and last-write timestamp. Fields with less than 5 percent fill in 90 days surface as archive candidates. The admin bulk-archives with one click; data preserves in the archived field for compliance and can be restored.

Role matrix

Every permission, every role, one view.

The role matrix is a two-dimensional view: roles down the left, permissions across the top, a checkbox at every intersection. The admin can see at a glance which roles can edit a deal, delete a contact, or export a report. Changes commit on save with an audit event.

User simulation

See the UI as this user would.

User simulation shows the admin exactly what a user sees: which records, which fields, which actions. No more "log in as them" workarounds. The admin can diagnose a permission issue in 90 seconds without a seat swap.

Dedup queue

Confidence-scored match review.

The dedup queue surfaces matches on email, phone, and name plus company with a confidence score. High-confidence matches (above 90 percent) bulk-merge on approval. Lower-confidence matches review one at a time with a side-by-side comparison. Merges preserve full history from both source records.

Import pipeline

CSV mapping with validation and rollback.

The import pipeline accepts CSV files up to 500,000 rows with column-to-field mapping, validation rules, and a 72-hour rollback window. Rejected rows export back to CSV with per-row errors. The admin can clean and re-import without re-mapping.

Audit log

Record read, record write, every action.

The audit log captures record reads, record writes, AI prompts, consent changes, permission changes, and admin actions with user, timestamp, and payload summary. Filters by user, record, or action without a database query. 90-day default retention tunable per tenant.

Flow builder admin surfaces

Automation that the admin can actually debug.

The flow builder is the surface where admin productivity gets won or lost. A tool that fires 4,000 workflows and offers zero debugging is a liability. Strkr's flow builder treats observability as a first-class feature.

Run history

Every flow run, every step, every outcome.

The run history view shows every flow execution with trigger, input payload, step-by-step execution, output, and completion status. Failed runs surface in a dedicated error queue. The admin can replay a run with modified input to test a fix.

Step-level logging

What this condition evaluated to.

Each step in a flow run logs its input, its evaluated expression, and its output. A conditional branch that fired unexpectedly is easy to diagnose because the admin can see exactly what the condition saw. No more "this works on my machine" moments.

Trigger simulation

Test a flow without a real record.

The trigger simulator lets the admin fire a flow against a synthetic record or a real record. The simulated run executes against a sandbox copy of the data so the test does not affect production records. The admin can iterate on flow logic in minutes.

Human-in-the-loop steps

Approval gates for sensitive operations.

The flow builder ships a wait_for_approval step with configurable approver role, timeout, and approval and rejection branches. The admin can require manager approval before an SMS blast runs, before a bulk delete executes, or before an opportunity moves to closed-won.

Rate-limit controls

Prevent flow storms.

A flow that fires on every record edit can accidentally run 10,000 times in a minute during a bulk operation. The admin can set rate limits per flow (max 100 runs per minute, max 1,000 per day) with throttled runs queueing for later execution. The flow stays safe during big imports.

Version history

Flow changes with rollback.

Every change to a flow saves as a new version. The admin can see diffs between versions and roll back to a prior version with one click. Failed deployments do not strand the admin with a broken flow and no clean path back.

Data quality and migration

The ongoing hygiene jobs.

Data quality is a weekly job, not a one-time cleanup. The cards below are the surfaces that keep the data clean past month one.

Weekly data quality report

The admin's Monday morning email.

Strkr emails a weekly data quality report to the admin: new duplicates in the queue, orphaned records, fields with declining fill rates, workflows with error spikes, slow queries. The admin can clear the week's backlog in about 30 minutes with the report as the agenda.

Orphan record detection

Contacts without a company, deals without a contact.

Orphaned records (contact with no company link, deal with no primary contact, project with no account) surface in a dedicated review queue. The admin can bulk-attach, bulk-delete, or manually review each orphan. The pattern catches migration debt before it becomes an adoption problem.

Bulk edit

Update 10,000 records in one pass.

Bulk edit supports any field, any object, any filter, up to 500,000 records in a single pass. The admin can preview the change set, run the edit, and roll back for 72 hours if something looks wrong. The audit log captures the bulk operation with user, timestamp, and record list.

Deduplication rules

Match thresholds the admin controls.

Dedup match rules are admin-tunable: email exact match, phone with normalization, name plus company fuzzy match. Confidence weights adjust per rule. The admin can test a rule change against the current dataset before committing so dedup never surprises them.

Field validation

Required fields, format rules, cross-field logic.

Field validation runs at write time with support for required fields, format rules (phone, email, URL, custom regex), and cross-field logic (if close date is in the past then stage must be closed). Validation errors surface inline on the form so reps correct them before saving.

Migration tooling

From Salesforce, HubSpot, Pipedrive, Zoho.

Strkr ships migration tooling for the common source CRMs with field-mapping templates, parent-child preservation, email history import, and deduplication on load. Migrations run through a sandbox cutover with a 72-hour rollback window on cutover day. The admin can run a dry migration before go-live to see exactly what lands.

Head-to-head

Strkr vs a legacy enterprise CRM for the admin role.

CRM admins in mid-market companies often inherit a legacy enterprise CRM instance with eight years of accreted customization. The comparison below is Strkr's admin posture versus that reality.

Feature Strkr Legacy enterprise CRM
Field-use report Native with archive flow. Custom build or third-party tool.
Role matrix one-page view Yes. Three-screen configuration tree.
User simulation See the UI as that user. Log in as them workaround.
Flow run history with logs Step-level logging. Pass or fail summary.
Flow version history and rollback Yes. Manual snapshot discipline.
Bulk edit with rollback 72-hour rollback. Export, edit, re-import.
Admin tooling pricing Included on every paid tier. Enterprise tier typical gate.
Migration tooling Native for common source CRMs. Partner-led engagement.
How teams use Strkr

Four CRM admin playbooks.

The playbooks below are patterns Strkr sees from admins taking on a new CRM instance, consolidating multiple CRMs, or inheriting a legacy mess.

Pattern A

The sole admin at a 180-person company.

A sole admin at a 180-person SaaS company inherited a six-year-old Salesforce instance with 420 custom fields and 180 workflows. The admin spent 60 percent of their week on reactive support. Strkr migration cleaned 318 unused fields on cutover, consolidated 180 workflows into 42 flows, and the admin's reactive support time dropped to 20 percent. The admin reinvested the recovered time in reporting and sales enablement work.

Pattern B

The ops team with three CRMs to consolidate.

An ops team at a growth-stage company inherited three CRMs from three acquisitions: HubSpot, Zoho, and a bespoke internal tool. The consolidation project ran six weeks. Strkr's dedup pipeline merged 42,000 contact records with 2,100 confirmed duplicates. The post-consolidation CRM covered every revenue motion on one instance with role-scoped visibility per original business unit.

Pattern C

The admin inheriting a bloated instance.

A new admin at a 60-person company inherited a HubSpot instance that had accumulated 240 workflows and 180 custom properties over four years. The admin ran a 30-day cleanup sprint using Strkr's field-use report and flow run history: 142 workflows archived, 180 properties consolidated into 42. Rep adoption improved as the UI simplified and the reports started matching reality.

Pattern D

The platform team supporting multiple business units.

A platform team at a 420-person company supported four business units on one CRM instance with different workflows, different field needs, and different reporting requirements. Strkr's role model and tenant-level customization let each business unit configure its own object model, workflows, and reports without stepping on the others. The platform team moved from reactive support to platform engineering.

Admin tooling that treats you like a user.

Book a 30 minute call. We will walk through the field-use report, the role matrix, flow debugging, and the migration tooling with your actual legacy CRM instance.

Common questions

What buyers in this bucket ask most.

What makes Strkr different for a CRM admin specifically?

The field-use report, the role matrix, user simulation, flow run history with step-level logging, flow version history with rollback, and the bulk-edit tooling with 72-hour rollback. Each of these is standard admin infrastructure that most CRMs ship as either an enterprise upgrade or a partner service. Strkr ships them on every paid tier.

Can we migrate from Salesforce without losing custom objects or formulas?

Strkr's migration tooling for Salesforce handles standard objects, custom objects with their field schema, formula fields (translated to Strkr computed fields), workflow rules (translated to Strkr flows), and permission sets (translated to Strkr role matrix entries). The sandbox cutover runs with a 72-hour rollback window. Formulas that use Salesforce-specific functions get flagged for admin review before cutover.

How does Strkr handle field-level permissions?

Record-level and action-level permissions are live today. Field-level permissions are planned as part of the Layouts workstream (field visibility, order, sections, per-field settings, related-list configuration). Admins who need field-level control today can use custom-object isolation as a workaround until the Layouts work ships.

Can admins restrict AI access to specific record fields?

Yes. The AI retrieval scope is admin-tunable per object. Admins can exclude specific fields (SSN, DOB, protected health information, pricing margin) from AI prompts without blocking the field for user access. The audit log captures every AI prompt with the retrieval scope applied so compliance can verify PHI stayed out of AI context.

What does admin tooling cost in Strkr?

Every admin tool described above ships on every paid tier (Starter at 29 dollars per seat, Pro at 59, Scale at 119). SAML SSO through Clerk ships on Scale. There is no "admin edition," no "integration edition," and no "data loader edition." The admin pays for seats and gets the full admin surface.

How does Strkr handle data retention for compliance?

Audit log retention defaults to 90 days and is tunable per tenant up to 7 years. Record data retention is tenant-controlled: deletions are soft by default with a 30-day recovery window. Hard delete requires an explicit admin action with an audit event. For GDPR right-to-erasure requests Strkr ships a deletion workflow that purges a contact's data across every linked record with the audit event preserved.

Can admins restrict integration access per user?

Yes. Each integration (Gmail, Microsoft 365, Zoom, Salesforce sync, Shopify, Meta CAPI) authenticates per user through OAuth with user-scoped tokens stored in AWS KMS. The admin can require specific roles to enable or revoke integrations. The audit log captures every integration token grant and revoke.

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