Built for brokerage firms

The CRM that handles splits, compliance, and deal pipeline without an admin team.

Brokerage work is relationship led, split sensitive, compliance aware, and transaction heavy. Strkr ships a CRM core shaped around listings and deals, split and commission calculation, compliance capture, and AI drafting that respects regulatory tone across real estate, insurance, mortgage, and commercial finance brokerages.

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What this audience is actually dealing with

The pains that bring buyers here.

A generic sales CRM assumes a single-rep deal cycle. Brokerage work does not fit that shape. A deal involves two or three agents, a brokerage split, a referral split, a compliance checklist, and a regulatory audit trail. The pain points below are what Strkr onboarding hears on every intake call with a brokerage firm, from the five-agent boutique to the 180-agent regional franchise.

Split calculations in a spreadsheet

The commission math eats the broker owner.

A brokerage runs 60-40, 70-30, 80-20, and graduated splits with cap resets, referral deductions, and franchise royalty takes. Most brokerages run this in a spreadsheet that breaks when the agent crosses the cap or the deal has a referral. Strkr models splits as a workflow with cap tracking, referral deduction, royalty automation, and the final payout preview on the deal card before close.

Compliance capture after close

The post-close paperwork chase.

Brokerage compliance requires a signed buyer representation, listing agreement, disclosure checklist, inspection waiver, and closing statement captured within 72 hours of close. Most brokerages chase missing documents through email for weeks. Strkr compliance workflow attaches the required document checklist per transaction type, auto-reminds agents at days 1, 3, and 7, and gates commission payout on completion.

Referral graph revenue leak

The referral attribution falls through.

A brokerage earns 10 to 30 percent of its gross commission from inbound referrals. The referral agent, the referring agent, the originating firm, and the receiving firm each have attribution. Most CRMs capture a referral note and nothing else. Strkr referral object tracks originator, referring agent, destination deal, and the attributed revenue so the broker owner can see which 10 referral relationships drove $820,000 last year.

Listing and buyer pipeline split

The buyer pipeline hides inside the listing data.

Brokerage CRMs usually model listings well and buyers poorly. The listing agent runs on the MLS and the buyer agent runs on sticky notes. Strkr models the buyer pipeline as a first-class object with search criteria, showing history, offer activity, and buyer representation status alongside the listing pipeline so the buyer-side activity shows the same visibility.

Agent recruiting pipeline

The agent-of-the-year leaves because recruiting is in a text thread.

Agent recruiting is a parallel pipeline most brokerages run in a text thread and a lunch calendar. The result is losing the top producer to a competing brokerage because the recruiting touchpoints lapsed. Strkr models agent recruiting as a dedicated pipeline with scoring, cadence, and competitive signal tracking so the broker owner stays active across 20 to 60 recruiting conversations without dropping any.

AI drafting that sounds like a broker

A chatbot voice looks unprofessional in the market.

A client paying $800,000 for a home does not want chatbot-tone emails from their agent. Strkr AI tunes voice per agent (sampled from their actual outbound email) and holds a professional advisor register across market updates, offer letters, status updates, and recruiting outreach. The agent edits two or three sentences and sends.

The brokerage schema

Custom objects shaped like brokerage work.

The default CRM schema does not map to brokerage work. Strkr ships a tunable brokerage schema with Listing, Buyer, Deal, Split, Referral, and Compliance Checklist as first-class objects. The broker owner can rename or extend anything. The default lands where most brokerages eventually settle after a quarter of use.

Listing object

Address, price, status, listing agent, days on market.

A listing in Strkr carries property address, list price, status (coming soon, active, under contract, closed, expired, withdrawn), listing agent, days on market, and showing count. The schema drives the listing pipeline view, the seller update cadence, and the price adjustment workflow.

Buyer object

Search criteria, representation status, offer activity.

A buyer in Strkr carries search criteria, representation status (buyer rep signed, exclusive), showing history, offer activity, and preferred communication channel. The buyer pipeline runs alongside the listing pipeline so the buyer-side work shows the same visibility.

Deal object

Transaction with gross commission, net to firm, net to agent.

A deal ties to a listing and a buyer with contract price, gross commission, split structure, referral deductions, franchise royalty, net to firm, and net to agent. The deal card shows the full math on hover so the agent sees the real payout before close.

Split object

Cap tracking with graduated transition.

A split in Strkr carries base percentage, cap amount, cap-year reset, graduated tier transition, and referral deduction. The split calculator shows the current cap position, the year-to-date commission earned, and the next cap tier threshold. The agent sees the payout math without a spreadsheet.

Referral object

Originator, intermediary, destination, attribution.

A referral captures the originator (person or firm), the intermediary (if any), the destination deal, and the attribution percentage. The referral graph compounds across generations so the broker owner can see the lifetime value of each referral relationship.

Compliance checklist

The document gate before payout.

Compliance checklist attaches per transaction type (listing, buyer representation, commercial lease, dual agency) with the required documents, the audit retention period, and the payout gate. The agent uploads documents to the deal card, the checklist auto-updates, and the payout releases when complete.

How Strkr AI accelerates brokerage

AI jobs that compound across a brokerage team.

A brokerage team cannot afford to invent the AI prompt library from scratch. Strkr AI ships preconfigured prompts on day one with retrieval scope and model routing already set. The jobs below show up on every brokerage deployment within the first two weeks. Each saves an estimated 3 to 14 hours per agent per week.

Market update draft

The monthly market email in 15 minutes.

Strkr AI drafts the monthly market update with the neighborhood data, the agent voice, and the right level of detail. The agent reviews, personalizes for client segment, and schedules. Market update time drops from four hours to 15 minutes per cycle.

Offer letter draft

The buyer offer narrative in 20 minutes.

Strkr AI drafts the buyer offer letter with the right emotional framing, the property details, the agent voice, and the right strength signals (financing, inspection posture, closing timeline). The agent edits, personalizes, and sends with the offer package.

Price adjustment conversation

The seller conversation that saves the listing.

Strkr AI drafts the price adjustment conversation with the comparable data, the days-on-market context, and the right advisory tone. The listing agent reviews, personalizes, and schedules the call. The hard conversation stays prepared instead of avoided.

Showing follow-up

The post-showing feedback request.

Strkr AI drafts the post-showing feedback request to the buyer agent with the property reference, the right professional tone, and the right next-step framing. The listing agent sends within an hour of the showing. Feedback response rates climb from 20 to 60 percent.

Agent recruiting outreach

The top-producer invitation that reads human.

Strkr AI drafts the agent recruiting outreach with the production context (gross commission income, listing volume, team size), the right value framing (split structure, support, lead generation), and the right cadence. The broker owner edits for voice and sends.

Compliance reminder

The gentle paperwork chase.

Strkr AI drafts the compliance reminder for missing post-close documents with the document list, the regulatory context, and the payout timing. The compliance lead reviews a batch weekly and sends. The 72-hour compliance window stays met instead of chased.

The brokerage pricing math

What Strkr costs a 30-agent brokerage.

The pricing math below is for a 30-agent brokerage with two admin staff running residential real estate in a secondary metro. The numbers come from Strkr onboarding intake calls with real brokerages in 2026. The invoice math holds through growth because Strkr prices flat per seat with no commission floor and no AppExchange retainers.

Strkr Starter

$29 per seat per month, 32 seats.

Thirty-two seats on Starter run $928 per month. The AI add-on is $49 per workspace with 5,000 Strkr AI calls included. For a brokerage drafting market updates, offer letters, and showing follow-ups the AI call budget usually lands at 4,000 to 5,500 calls per month. Total month-one invoice for a 32-seat brokerage on Starter with AI add-on is roughly $977.

Strkr Pro

$59 per seat per month, 32 seats.

Thirty-two seats on Pro run $1,888 per month. Pro adds the forecast module for closing projection, the advanced report builder for broker-owner dashboards, the custom object graph for property-type specialization, and extended audit retention. Most brokerages move to Pro at month three.

Strkr Scale

$119 per seat per month, 32 seats.

Thirty-two seats on Scale run $3,808 per month. Scale adds SAML and OIDC single sign-on, verified domain capture, HIPAA BAA on request for brokerages that handle medical office commercial deals, and the extended compliance posture. Scale lands when the brokerage operates across state lines or demands enterprise SSO.

kvCORE or Follow Up Boss

Floor $499 to $900 per month with per-agent overage.

A typical brokerage on kvCORE pays $499 to $1,200 per month at the brokerage level plus $25 to $35 per agent beyond the floor. Follow Up Boss runs $69 per user per month. For 32 agents the monthly invoice typically lands at $2,208 to $3,500 depending on tier and add-ons.

Salesforce Essentials plus Chime

Floor $100 per seat with real estate add-on.

A brokerage on Salesforce Essentials with Chime for real estate workflow pays about $100 per Salesforce seat and $25 per Chime seat. Implementation runs $18,000 to $65,000. For 32 seats the monthly invoice lands around $4,000 plus the amortized implementation.

The 12-month total cost

What a brokerage actually spends.

Across 12 months a 32-seat brokerage on Strkr spends roughly $11,700 to $46,000 depending on tier upgrades. The same brokerage on kvCORE typically spends $26,500 to $42,000. On Salesforce plus Chime plus implementation the number lands at $66,000 to $110,000. The compound effect of flat pricing is real at brokerage scale.

Head-to-head

Strkr vs typical brokerage CRM stacks.

The comparison below is Strkr for a 32-seat brokerage versus the two most common alternatives at the 12-month invoice mark.

Feature Strkr kvCORE or Salesforce stack for a 32-seat brokerage
Month-one invoice About $977 with AI add-on. $2,208 to $4,000 plus implementation.
12-month total $11,700 to $46,000 all-in. $26,500 to $110,000.
Setup time to first deal logged Five business days with the wizard. Six to 16 weeks with a partner.
Split calculation with cap tracking First-class object with payout preview. Spreadsheet export typical.
Compliance checklist with payout gate Day one with the opinionated default. Separate transaction management tool.
Referral graph attribution First-class object with lifetime value. Custom field cobble.
AI prompts tuned per agent voice Six on day one. Generic chatbot or none.
Buyer pipeline parity First-class object alongside listings. Listing-centric with buyer afterthought.
SSO and verified domains Scale tier $119 per seat. Enterprise tier only.
Admin complexity Office manager runs the admin. Dedicated admin seat typical.
How teams use Strkr

Five brokerage playbooks.

The playbooks below are patterns Strkr onboarding sees on brokerage deployments across sizes and property types. Each pattern is a real customer motion from the 2026 cohort.

Pattern A

The five-agent residential boutique.

A five-agent residential boutique in Austin ran kvCORE for listing management and a Google Sheet for splits. The broker owner spent 11 hours per month reconciling commission math. Strkr onboarding ran a four-business-day setup with the split calculator, the compliance checklist, and the market update AI as day-one deliverables. Within one month the broker cut split reconciliation time to zero and shipped the first batch of AI-drafted market updates in week two.

Pattern B

The 42-agent independent brokerage.

A 42-agent independent brokerage in Phoenix ran Follow Up Boss plus Dotloop plus a separate commission management tool. The three-tool stack cost $3,800 per month and required a dedicated office manager. Strkr onboarding ran a 14-business-day migration with the full brokerage schema, the compliance workflow, and the recruiting pipeline. Monthly spend dropped to $1,680 and the office manager redirected 20 hours per week to agent support.

Pattern C

The 11-agent insurance brokerage.

An 11-agent commercial insurance brokerage ran AMS360 for policy management and a separate CRM for the sales pipeline. The CRM was Salesforce Professional at $150 per seat. Strkr onboarding ran a nine-business-day setup with the policy object graph, the renewal workflow, and the carrier commission calculation. Monthly spend dropped from $1,650 to $410.

Pattern D

The eight-loan-officer mortgage brokerage.

An eight-loan-officer mortgage brokerage ran Encompass for origination and a Google Sheet for pipeline. The owner wanted referral graph attribution and compliance capture. Strkr onboarding configured the loan pipeline, the referral partner graph, and the TRID disclosure checklist in six business days. Monthly spend lands at $256 total.

Pattern E

The 180-agent regional franchise.

A 180-agent regional real estate franchise operating in three states needed cross-state compliance workflows, franchise royalty automation, and broker-owner cockpit visibility across offices. Strkr ran the deployment with the full custom object graph, the SSO integration via Clerk, and the extended audit retention. Monthly spend lands at $21,420 across 180 seats on Scale with AI add-on, which replaced a Salesforce plus Dotloop plus commission platform stack costing $62,000 per month.

Run splits, compliance, and the deal pipeline from one workspace.

Book a 30 minute call. We will walk through the split calculator, the compliance workflow, the referral graph, and the pricing math with your brokerage type and agent count.

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Common questions

What buyers in this bucket ask most.

Can a brokerage use Strkr instead of kvCORE, Follow Up Boss, or BoomTown?

Yes for most brokerages. Strkr covers the listing pipeline, the buyer pipeline, the split calculator, the compliance workflow, the recruiting pipeline, and the AI drafting in a single workspace. The gap versus kvCORE is the deeply tuned lead generation integration with Zillow and Realtor.com, which Strkr covers through its REST API with webhook ingestion but not with the kvCORE partnership. For brokerages running on bought leads at scale kvCORE may still fit; for most independent and franchise brokerages Strkr covers the motion at half the stack cost.

How does Strkr handle commission splits with cap tracking?

Strkr models splits as a first-class object with base percentage, cap amount, cap-year reset, graduated tier transition, and referral deduction. The split calculator shows the current cap position, year-to-date commission, next tier threshold, and the final payout preview on the deal card before close. Franchise royalty automation applies after cap, so the broker owner sees the exact net before signing the closing statement. The agent sees the payout math without a spreadsheet.

Does Strkr handle real estate, insurance, mortgage, and commercial brokerages?

Yes. The custom object graph lets each brokerage type tune the schema. Real estate brokerages run with Listing, Buyer, Deal, and Compliance objects. Insurance brokerages run with Policy, Carrier, Commission, and Renewal objects. Mortgage brokerages run with Loan, Lender, Disclosure, and Partner objects. Commercial brokerages run with Lease, Property, Deal, and Document objects. The AI prompts tune per brokerage type for the right regulatory voice.

How does Strkr integrate with MLS and transaction management tools?

Strkr integrates with the MLS through RETS and RESO Web API where supported, with Dotloop and SkySlope for transaction management, with Encompass and Calyx for mortgage origination, and with AMS360 and HawkSoft for insurance policy management through its REST API and outbound webhooks with HMAC signing. Per-user OAuth means the broker owner does not have to manage individual credentials. Each integration lands in under 30 minutes.

What compliance posture does Strkr ship with for brokerage regulatory requirements?

Strkr is HIPAA compliant with a BAA available on request for brokerages handling commercial medical office deals. SOC 2 Type II is in progress with a 2026-Q4 target. GDPR and CCPA posture is live today. SAML and OIDC single sign-on through Clerk ships on the Scale tier. MFA with TOTP and text-based verification is live across all tiers. Verified domains land at Scale. The audit log records every record read, every record write, every email sent, every AI prompt, with 90-day default retention tunable per tenant.

How does Strkr pricing stay flat as the brokerage adds agents?

Flat per seat at $29 Starter, $59 Pro, $119 Scale per user per month. The AI add-on is $49 per workspace per month with 5,000 Strkr AI calls included and $0.012 per call over the floor. There is no commission volume meter, no deal count meter, and no AppExchange add-on surcharge. A brokerage with 180 agents pays the same per seat as one with five.

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