Built for sales ops teams running the revenue engine

The CRM that gives sales ops the admin surface it has been asking Salesforce for since 2014.

Sales ops owns the schema, the forecast cadence, the territory map, and the enablement loop. Strkr ships a sales ops admin surface with declarative schema editing, append-only workflow versioning, territory assignment, and forecast rollup that lands without a Flow Builder certification.

What this audience is actually dealing with

The pains that bring buyers here.

Sales ops lives in a strange place inside the revenue org. The function owns the CRM, the forecast cadence, the territory map, the enablement artifact library, the quota-letter process, and the quarterly business review deck. Most mid-market sales ops leaders inherit a Salesforce or HubSpot instance that reflects five years of accumulated decisions by other people, with no roll-forward plan. The pain points below are what Strkr onboarding hears from sales ops leaders every week.

Schema archaeology

420 fields where 90 matter.

The inherited CRM carries 420 custom fields across the Deal object. 90 drive the business. The rest are empty, duplicative, or legacy. Nobody will take the risk of deleting them because a report somewhere might reference them. Strkr ships a field-use audit (last-write date, non-null percentage, report references) that lets sales ops confidently retire 230 fields on day one.

Workflow dependency hell

A triggered flow calls three Apex classes.

A single workflow in a mature Salesforce org triggers three Apex classes, four Process Builder flows, and two Lightning Flow components. Changing anything risks breaking the dependency chain. Strkr ships append-only workflow versioning with explicit dependency surface. A workflow change ships as a new version with a diff visible to the admin before deploy.

Territory assignment manual

Round-robin by spreadsheet.

Territory assignment runs as a weekly spreadsheet update by sales ops with a copy-paste into the CRM. Rules like account size, industry, geographic region, and current rep load have to be reconciled by hand. Strkr ships declarative territory rules with real-time assignment at account creation and nightly rebalance against rep capacity.

Forecast cadence drift

Submit noon Friday rarely holds.

The forecast cadence drifts because managers chase reps for commits all week and the rep response is uneven. The Friday noon submit lock turns into a Friday 4pm scramble. Strkr ships a weekly forecast module with hard submit lock, late-submit audit, and manager cockpit showing team status in real time. The cadence holds because the tool enforces it.

Enablement loop broken

New hires read a 400-page onboarding wiki.

The enablement artifact library (sales play, discovery questions, competitive battle cards, demo scripts) lives in a 400-page Confluence wiki, a tangled Google Drive, and a Highspot instance nobody logs into. A new hire ramps on calendar time, not on content. Strkr ships enablement surfaces inline on the deal record with Strkr AI drafting the relevant play, question, or battle card.

Report rebuild on migration

The 60-report rebuild problem.

The sales ops team runs 60 reports weekly. On migration, rebuilding 60 reports in the new CRM takes eight weeks and still misses details. Strkr ships a report builder as a declarative query layer on top of the live schema. The 48-hour report rebuild sprint ships 30 reports in two days and the remaining 30 inside the first month.

The sales ops admin surface

Declarative control over schema, flow, and territory.

Strkr ships a dedicated sales ops admin surface that lets the function change the CRM without a developer, a Flow Builder certification, or a Trailhead badge. The surfaces below are what sales ops owns on day one.

Schema editor

Add, rename, retype, retire fields.

The schema editor shows every field with last-write date, non-null percentage, report references, and workflow references. Fields can rename, retype (text to picklist, number to currency), split, merge, or retire. Retire is a soft delete with 90-day recoverability. The schema change tracks in the audit log.

Workflow versioning

Append-only, diffable, reversible.

Every workflow change ships as a new version. The admin sees the diff from version N to version N+1 before deploy. A broken workflow rolls back to the prior version in one click. The dependency surface prints the fields and the records the workflow touches.

Territory rules

Account size, industry, geography, rep load.

The territory rules engine accepts declarative conditions on account size (revenue, employee count), industry (NAICS or custom), geography (state, country, region), and current rep load. Rules evaluate on account creation and on nightly rebalance. The rep sees the territory boundary in their account view.

Role matrix

Seven roles, 54 resource types, tunable.

The default role matrix (AE, SDR, SE, CSM, RevOps, Admin, CRO) ships with permission scoping across 54 resource types. The admin can clone and tune roles, add custom roles, or scope at the record level. Permission changes track in the audit log with before and after snapshot.

Quota and comp attachments

Quota letter, OTE, comp plan link.

Each rep record carries quota letter attachment, on-target earnings number, and comp plan link (Spiff, QuotaPath, CaptivateIQ, or custom). The quota appears on the forecast module and the manager cockpit. The admin can bulk-upload quota changes at quarter boundaries.

Audit log console

Record read, record write, email send, AI call.

The audit log console shows every record read, record write, email send, document access, and AI call across the tenant. Filters work by user, record type, time range, and action. 90-day default retention tunable per tenant. The console is the first stop for SOC 2 Type II preparation.

Integration keychain

Gmail, Outlook, Slack, Teams, Zapier-free.

The integration keychain shows every active integration with scope and credential source. OAuth consent is per user for Gmail and Outlook. Shared integrations (Slack, Teams, HubSpot Marketing, Marketo) use tenant-level credentials stored in AWS KMS. The admin flips integrations on and off from one surface.

How Strkr AI reports to sales ops

The AI jobs that reduce sales ops toil.

Sales ops carries the toil load of pipeline hygiene, forecast chasing, next-step cleanup, and anomaly flagging. Strkr AI handles the first pass so the sales ops leader spends time on strategic work. The cards below are what shows up in a sales ops deployment inside the first two weeks.

Pipeline hygiene scan

The nightly stale-deal report.

Each night Strkr AI scans the pipeline for stale deals (no activity in 14 days), missing next steps, past-due close dates, and missing MEDDPICC fields. The output drops as a sales ops digest with the deal links and the gap. The sales ops leader sees the exceptions, not the whole pipeline.

Forecast variance narrative

The weekly commit versus actual story.

Each Friday Strkr AI drafts a forecast variance narrative. Which teams committed and landed, which committed and missed, which pulled surprise business out of Pipeline into Won. The narrative lands in the CRO Monday morning email with the deals called out.

Territory rebalance recommendation

The quarterly book review.

At quarter boundaries Strkr AI drafts a territory rebalance recommendation showing rep load imbalance, pipeline coverage per rep, and recommended account moves. The sales ops leader reviews and runs the rebalance through the territory rules engine.

Enablement content refresh

The win and loss pattern summary.

Each month Strkr AI drafts a win and loss pattern summary. Which competitive battle cards are winning the deals. Which discovery questions correlate with close. Which objections keep showing up. The pattern feeds the enablement content refresh cycle.

QBR deck draft

The quarterly business review assembly.

Ahead of the quarterly business review Strkr AI drafts the QBR narrative with pipeline attainment, forecast accuracy, team performance, and win rate by segment. The sales ops leader tunes the deck instead of building from a blank page.

Attribution reconciliation

Which activity drove which pipeline.

Strkr AI drafts an attribution reconciliation across marketing campaign, SDR activity, AE prospecting, and partner referral. The output helps the marketing and sales ops teams reconcile source credits for the pipeline each quarter.

Anomaly flag

A deal pattern that does not fit the baseline.

Strkr AI watches for anomalies: a deal that moves from Qualify to Verbal in 48 hours without discovery, a close date pushed four times, a Champion contact that departed last week. The flags drop into the sales ops digest with the deal context.

The sales ops migration from Salesforce

How a 48-rep team ships off Sales Cloud in 18 days.

The common sales ops migration pattern is a mid-market team coming off Sales Cloud Enterprise with 11 AppExchange add-ons, a $14,000 per month implementation partner retainer, and five years of accumulated schema drift. The cards below are what Strkr onboarding runs across the 18 business days.

Day 1 to 3

Discovery and field-use audit.

The onboarding architect records a working day with two reps and the sales ops leader. The field-use audit shows which 90 of 420 fields drive the business. The sales ops leader approves the 230-field retirement list for the new tenant.

Day 4 to 7

Schema model and workflow redesign.

The admin and the architect co-design the Strkr schema. The 11 Salesforce AppExchange add-ons (CPQ, Pardot, Highspot, Clari, Gong, Outreach, LinkedIn, DocuSign, DealHub, Clay, Lusha) map to the Strkr integration surface or get consolidated into Strkr native capability.

Day 8 to 12

Pilot cohort of six reps live.

Six reps run live on Strkr for 10 business days against actual quota while Sales Cloud stays active in read-only mode. The sales ops leader watches the pilot closely for workflow edge cases that the field-use audit missed.

Day 13 to 15

Report rebuild sprint.

The onboarding team runs a 48-hour report rebuild sprint. 30 of the 60 priority reports rebuild in Strkr declarative report builder. The remaining 30 ship across the first month post-cutover. The team cuts over with report parity on the critical reports.

Day 16 to 17

AI runbook and prompt setup.

The last two days before cutover configure the five AI prompts the sales ops leader will run daily (pipeline hygiene scan, forecast variance narrative, territory rebalance, enablement refresh, QBR deck). The prompts have retrieval scope, model-class routing, and audit retention set.

Day 18

Full cutover and read-only on Salesforce.

The full 48-rep team moves to Strkr. Sales Cloud drops to read-only mode and stays available for 30 days. The AppExchange retainer closes at the end of the first full month. The implementation partner retainer closes in week five.

Head-to-head

Strkr vs Salesforce for sales ops.

The comparison below is Strkr sales ops posture versus Sales Cloud Enterprise with the typical AppExchange add-on stack.

Feature Strkr Sales Cloud with AppExchange stack
Schema editing by sales ops Declarative editor, no code. Partial declarative plus Apex for edge cases.
Workflow versioning Append-only with diff and rollback. Flow Builder with manual version naming.
Territory assignment Declarative rules engine. Territory Management 2.0 or custom code.
Field-use audit Built-in with last-write and non-null stats. Third-party tool required.
AI drafting for sales ops Five preconfigured prompts. Einstein credits with configuration.
Report builder Declarative query on live schema. Reports plus Dashboards plus CRM Analytics.
Implementation retainer None, included in subscription. $12,000 to $18,000 per month typical.
Credit meter for AI Flat $49 per month, 5,000 calls included. Einstein credits plus overage.
Flat per-seat pricing Starter $29, Pro $59, Scale $119. Enterprise $165 plus add-ons.
How teams use Strkr

Five sales ops migration patterns.

The playbooks below are patterns Strkr onboarding sees across sales ops migrations.

Pattern A

The 48-rep Sales Cloud Enterprise consolidation.

A 48-rep SaaS team ran Sales Cloud Enterprise with 11 AppExchange add-ons and a $14,000 per month implementation partner retainer. Strkr onboarding ran an 18-business-day migration. The 11 add-ons consolidated into Strkr native capability plus three retained vendor ties (Gong, Clay, Spiff). Monthly spend dropped by 68 percent. The sales ops team got back the implementation partner budget for strategic work.

Pattern B

The HubSpot Enterprise sales ops surface.

A 60-rep agency ran HubSpot Enterprise. The marketing team was happy. The sales ops team was blocked on schema customization because HubSpot custom object support was shallow and the workflow surface was limited. Strkr onboarding ran a split-stack migration: sales motion on Strkr, marketing automation on HubSpot, contact sync bi-directional. Sales ops got the admin surface they needed.

Pattern C

The Zoho CRM Plus consolidation.

A 35-rep MSP ran Zoho One with 240 custom fields on the Deal object and a slow admin console. The sales ops leader could not clean the schema without breaking downstream reports. Strkr onboarding ran a 14-business-day migration with the field-use audit retiring 150 fields. Admin console load time dropped from 11 seconds to under 400 milliseconds.

Pattern D

The Dynamics 365 Sales plus Copilot escape.

A 90-rep manufacturer ran Dynamics 365 Sales with Copilot for Sales. The sales ops leader wanted to move but the Teams and SharePoint ties looked sticky. Strkr onboarding showed that the stickiness was Teams and SharePoint, not Dynamics. The 24-business-day migration landed with Teams notifications and SharePoint attachment ties working out of the box.

Pattern E

The spreadsheet-first consolidation.

A 22-rep startup ran its pipeline on Google Sheets with a quota tracker in a separate workbook. The sales ops leader needed real forecast cadence. Strkr onboarding ran an 11-business-day migration (shorter than default because there was no legacy CRM). The weekly submit cadence held from week one. Forecast variance tightened from 32 percent to 14 percent in two quarters.

Give sales ops the admin surface it has asked for.

Book a 30 minute call. We will walk through the sales ops admin console with your actual schema, workflows, and territory map.

Common questions

What buyers in this bucket ask most.

Does Strkr replace the Salesforce AppExchange stack entirely?

For most mid-market revenue teams Strkr replaces the core of the AppExchange stack (CPQ, Pardot, Highspot, Clari, DealHub) with native Strkr capability. Specialist tools (Gong for conversation intelligence, Clay for enrichment, Spiff for comp administration) stay as integrations through the Strkr webhook spec. For a 48-rep team the typical consolidation retires 8 of 11 AppExchange add-ons on day one and the remaining 3 across the first 90 days.

How does Strkr handle the Flow Builder dependency problem?

Strkr workflow surface is append-only versioned. Every workflow change ships as a new version with an explicit diff. The dependency surface prints the fields the workflow reads, the fields the workflow writes, and the records the workflow touches. A broken workflow rolls back to the prior version in one click. The audit log captures every workflow deploy with the version number, the admin who deployed, and the timestamp.

Can sales ops run the admin console without a developer?

Yes. The admin console is declarative across schema editing, workflow versioning, territory rules, role matrix, and integration keychain. The 90 percent case does not require code. For deep customization (complex quote-to-cash calculation, custom validation across multiple objects, integration with a legacy ERP) Strkr offers a scripting surface with sandbox and approval workflow, but most sales ops leaders never touch it.

What does Strkr cost for a sales ops team of three to five?

Strkr prices flat per seat at $29 on Starter, $59 on Pro, and $119 on Scale per user per month, with a 14-day trial. Sales ops seats pay the same per-seat price as rep seats. The AI Enhancement add-on runs $49 per month and includes 5,000 AI calls shared across the tenant. For a 48-rep team with three sales ops seats on Pro the monthly spend runs $3,009 for seats plus $49 for AI.

How does Strkr handle the 60-report rebuild on migration?

The onboarding team runs a 48-hour report rebuild sprint during pilot week two. The 30 priority reports rebuild in Strkr declarative report builder before cutover. The remaining 30 reports ship across the first month post-cutover based on sales ops leader prioritization. The team cuts over with report parity on the critical reports (forecast accuracy, pipeline coverage, win rate by segment, stage conversion funnel). The legacy CRM stays in read-only mode for 30 days as a safety net.

What is the compliance posture for a sales ops migration?

Strkr is HIPAA compliant with a BAA available on request, GDPR and CCPA compliant today, and SOC 2 Type II is in progress with a target of 2026-Q4. The audit log captures every record read, record write, and workflow deploy with 90-day default retention tunable per tenant. SSO via SAML or OIDC is live on Scale tier through Clerk, MFA with TOTP plus text-based verification is live across all tiers, and Verified Domains are live on Scale tier.

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