Built for insurance, mortgage, and M&A brokers

The CRM that holds the long cycle, prints the commission, and respects the referral source.

A broker runs a book of relationships, a cycle that stretches from first conversation to closing, and a commission structure that rewards the right outcome. Strkr ships a schema that fits the broker role across insurance, mortgage, M&A, and the adjacent brokered sales roles, with Strkr AI drafting the followups in a broker voice.

What this audience is actually dealing with

The pains that bring buyers here.

The broker role is distinct from the inside sales rep role. Deal cycles run six to 24 months, relationships span prospect, counterparty, and referral source, and commissions carry split structures and clawback clauses. The pain points below are what Strkr's onboarding team hears from brokers in insurance, mortgage, M&A, business brokerage, and the specialty brokered sales roles.

Long cycle deal fatigue

A deal that started in April and still has not closed in September.

Broker deals run on 6 to 24 month cycles. A typical CRM pipeline view shows the hot deals this week and buries anything older. Strkr's stale-deal flag surfaces deals that have not moved in 30, 60, or 90 days with a Strkr AI drafted check-in email ready to review. The broker stops letting deals rot in the pipeline and the followup cadence stays alive even through the slow months.

Carrier and lender relationships

The deal is between the client and the counterparty.

A broker is a two-sided relationship manager. The client wants coverage, financing, or a buyer. The carrier, lender, or counterparty wants the right opportunity profile. Strkr's custom-object graph models the counterparty as a first-class record with its own history, submission rules, and underwriting preferences. The broker sees the right counterparty match grounded in actual history, not a guess.

Referral source tracking

Where did this deal come from and what do we owe.

A broker book is built on referral sources: wealth managers, accountants, attorneys, past clients. Strkr tracks every deal's referral source, calculates referral fees owed per the arrangement with that source, and surfaces the top sources in a quarterly thank-you cadence. The broker stops losing referral relationships because the thank-yous actually get sent.

Commission math

The split, the override, the trailing payment.

Broker commissions carry split structures (producer, override, service partner, referral) with trailing payments that pay 12 to 60 months after close. Spreadsheet-based commission tracking breaks at the trailing payment layer. Strkr's commission engine tracks initial and trailing payments on their own schedules, surfaces aging commissions owed, and reconciles against counterparty statements.

Compliance evidence

Every state wants a different paper trail.

Insurance brokers carry suitability analyses and replacement forms per state. Mortgage brokers carry disclosures per federal rules and per state licensing. M&A brokers carry representation agreements and NDAs. Strkr's compliance item object tracks required documents per deal type with state and federal defaults, and the audit log retains evidence per retention rules (typically seven years for insurance, two to three for mortgage, perpetual for M&A).

Confidentiality posture

Some deals cannot be visible to anyone else.

M&A brokers carry deals under strict confidentiality where even the firm partner should not see the buyer or seller name. Strkr's record-level permission scoping lets a broker tag a deal confidential and restrict visibility to a named list. The managing broker sees deal counts and status without seeing identifying details on confidential records.

The broker schema

Objects shaped like the broker role.

Strkr ships a tunable broker schema with Client, Counterparty, Deal, Submission, Commission Line, and Referral Source as first-class objects. The broker can rename or extend anything. The default schema fits insurance, mortgage, M&A, business brokerage, and the specialty brokered roles after small configuration.

Client object

Individual, business, or trust with lifecycle status.

A client in Strkr is an individual, business, or trust with lifecycle status (prospect, active engagement, closed, retained, lapsed). The client carries demographic data appropriate to the broker type (personal lines insurance clients carry risk profile, mortgage clients carry financial profile, M&A clients carry financial statements). The schema drives the correct counterparty match.

Counterparty object

Carrier, lender, buyer, or seller.

Counterparty is a first-class record carrying submission rules, underwriting preferences, decision history, and relationship owner. For insurance brokers the counterparty is the carrier. For mortgage brokers the counterparty is the lender. For M&A brokers the counterparty is the buyer or seller on the opposite side of the deal.

Deal object

Stages shaped around broker work.

A deal in Strkr runs through broker-shaped stages (initial conversation, needs analysis, counterparty submission, counterparty quote or term sheet, client decision, closing, post-close). Each stage carries its own expected documents, next steps, and typical timeline. Deals carry type (new business, renewal, replacement, cross-sell) that drives the correct cadence.

Submission object

The outreach to one counterparty for one deal.

A submission is the outreach from the broker to a counterparty for a deal. The object captures what was submitted, when, which underwriter or decision maker handled it, and what came back. A single deal can have 11 submissions to 11 counterparties for an insurance broker shopping a complex risk. The submission history lives on the deal record.

Commission line object

Initial and trailing payments on separate schedules.

Each closed deal generates one or more commission lines showing initial commission at close plus trailing payments on their own schedules (quarterly, annually, over 12 to 60 months depending on product). Strkr tracks aging commissions owed, reconciles against counterparty statements, and prompts the broker when a trailing payment is overdue.

Referral source object

The relationship behind the deal.

Every deal ties to a referral source where applicable (wealth manager, accountant, attorney, past client, cold inquiry). Strkr surfaces the top referral sources in a quarterly thank-you cadence and tracks referral fees owed per the arrangement. The source relationship becomes an asset instead of a one-off thank-you that never got sent.

Compliance item

Required forms per deal type and jurisdiction.

Compliance items attach to deals with state and federal defaults by broker type. Insurance brokers see suitability analyses and replacement forms per state. Mortgage brokers see disclosures per TRID. M&A brokers see representation agreements and NDAs. The audit log retains evidence per retention rules.

How Strkr AI drafts in a broker voice

The AI jobs that fit the broker role.

A broker cannot ship AI-drafted client communication that sounds like a chatbot. Strkr AI drafts in the professional, relationship-first tone a top broker would use, with no vendor-brand chrome. The jobs below show up in every broker deployment inside the first two weeks.

Stale deal check-in

The 60-day touchpoint on a slow deal.

When a deal has not moved in 60 days Strkr AI drafts a check-in email grounded in the deal context (what was discussed, what we were waiting on, what might have changed). The broker reviews, adjusts, and sends. The followup cadence stays alive even on cycles that stretch 12 to 24 months.

Submission packaging

The counterparty cover letter.

Strkr AI drafts the counterparty cover letter grounded in the client profile, the deal context, and the counterparty's known preferences. For an insurance broker shopping a complex risk Strkr AI drafts tailored submission letters to each carrier that highlight the right risk factors for each carrier's appetite.

Client status update

The weekly or biweekly client touchpoint.

For an active deal Strkr AI drafts the weekly client update covering submission status, counterparty responses, next steps, and expected timeline. The broker reviews and sends in under two minutes. The client stays informed without the broker drafting 11 similar emails on a Friday afternoon.

Renewal review

The 90-days-before-renewal conversation.

For broker products that renew (insurance, lending refinance opportunities) Strkr AI drafts the 90-day renewal review covering current terms, market context, suggested changes, and next steps. The broker reviews and sends. The renewal retention rate stays high because the review actually happens on time.

Referral source thank-you

The quarterly check-in that is not an ask.

Strkr AI drafts the quarterly check-in to each top referral source grounded in the deals that source referred, the outcomes, and the referral fees owed. The thank-you reads as acknowledgment, not as a solicitation for the next referral. Over time this is the most valuable touch cadence a broker runs.

Prospect intake summary

The post-call summary and recommended path.

After an intake call with a prospective client Strkr AI drafts the summary email with needs restatement, recommended path (which products, which counterparties, expected timeline), and next step confirmed. The broker reviews and sends in under five minutes.

Pipeline for long cycles

The view that handles 6 to 24 month deals.

Most CRM pipeline views optimize for the 30-day sales cycle. Broker deals run 6 to 24 months. Strkr's pipeline view ships with long-cycle features: age-weighted ranking, stall detection, cohort analysis, and renewal cadence. The cards below show how the broker uses the pipeline for the long work.

Age-weighted ranking

The deals that need attention this week.

The pipeline ranks deals not just by close date but by age-in-stage weighted by expected cycle time. A deal that has sat in counterparty-review for 30 days against a typical 60-day cycle ranks differently from a deal that has sat for 90 days against a typical 60-day cycle. The broker focuses on actual urgency instead of guesswork.

Stall detection

Red, yellow, green on movement.

Each deal shows a stall indicator (red for over 90 days without movement, yellow for 60 to 90, green for under 60). Red deals get a Strkr AI drafted check-in email ready to review. Yellow deals get a prompt to log the current state. Green deals get the normal weekly cadence.

Cohort analysis

Deals grouped by vintage and conversion rate.

A quarterly cohort report groups deals by the month they entered the pipeline and shows conversion rate, average cycle time, and typical reasons for lost deals. The broker uses the cohort view to spot patterns (which deal types close, which stall, which lose) and to tune the pipeline motion.

Renewal cadence

Products that renew get their own cycle.

For insurance brokers and lending refinance opportunities, renewal cycles land on their own cadence 90 days before renewal date. Strkr fires the renewal review drafts at the 90, 60, and 30 day marks. The broker runs the renewal conversation on time instead of discovering a lapsed policy three months after.

Counterparty workload

How many deals the carrier or lender has in flight.

The broker sees how many deals each counterparty currently has in submission from this broker. A carrier with eight deals in review is slower on each. The counterparty workload view helps the broker decide where to submit the next deal for the fastest decision cycle.

Commission preview

Expected initial and trailing by month.

The commission preview shows expected initial commission by close month and expected trailing payments by month over the next 12 months. The broker gets a cash flow projection grounded in the pipeline, not in a guess. The forecast conversation with the practice owner happens with real data.

The compliance surface

State and federal evidence without the paper mess.

Broker compliance varies by product and jurisdiction. Insurance brokers deal with state insurance commissions. Mortgage brokers deal with CFPB plus state licensing. M&A brokers deal with federal securities rules depending on deal size. Strkr's compliance surface tracks requirements per product and jurisdiction with the audit log retention set to match.

Required document checklist

What has to be in the file before close.

Each deal type carries a required document checklist with state and federal defaults. The broker sees which documents are missing, which are collected, and which need a signature. Close-ready is a binary state (checklist complete) instead of a judgment call.

Suitability and replacement analysis

Insurance broker regulatory asks.

For insurance brokers Strkr tracks suitability analyses on new business and replacement analyses on policy replacements. The analysis template drives the right questions, the audit log retains the completed analysis for seven years, and the compliance officer gets a monthly review queue.

Mortgage disclosures

TRID timing and delivery evidence.

For mortgage brokers Strkr tracks the TRID disclosure delivery timing (loan estimate at day three, closing disclosure at day three before close) with evidence stored in the audit log. The timing math handles weekends and holidays. The compliance officer gets a weekly review queue showing any timing exceptions.

M&A representation agreement

The engagement letter and NDA tracking.

For M&A brokers Strkr tracks the representation agreement, the NDA, and the engagement scope on each deal. Confidentiality posture is set at deal creation and enforced on the visibility layer. The managing broker sees deal counts and status without seeing identifying details on confidential deals.

License renewal queue

Continuing education and license deadlines.

The broker's own licenses carry renewal dates and continuing education progress. Strkr surfaces upcoming renewals and CE deadlines 90 days before expiry. The broker stops missing CE deadlines and the firm maintains clean licensing status across all producers.

Audit retention per record type

Configurable retention policy.

Strkr's audit log retention is configurable per record type to match regulatory requirements (typically seven years for insurance records, two to three for mortgage records, perpetual for M&A representation records). The retention policy applies automatically. The compliance officer stops managing retention through calendar reminders.

Head-to-head

Strkr vs a generic sales CRM for a broker.

Most brokers try a general CRM (HubSpot, Zoho, Pipedrive) once and bounce because the schema does not fit the broker role. The comparison below is Strkr's broker posture versus a generic CRM applied to the same broker.

Feature Strkr Generic sales CRM for a broker
Long cycle pipeline with stall detection Age-weighted ranking with stall flags. Date-sort only.
Counterparty as first-class record Carrier, lender, buyer, seller object. Contact table with custom field.
Submission tracking per counterparty Submission object per deal. Note field in deal record.
Trailing commission payments Separate schedule tracked for 60 months. Not available.
Referral source and fee tracking Source object with quarterly thank-you cadence. Custom field with no automation.
Compliance evidence per state Required forms by state in picklist. Manual document management.
License renewal and CE tracking Native with 90-day prompts. Not available.
Confidential deal visibility scoping Record-level permission with hidden identifiers. All-or-nothing admin view.
AI drafting in broker professional voice Trained on first 20 approved emails. Generic chatbot tone or none.
Audit retention configurable per record type Match regulatory requirements per product. Fixed retention or none.
How teams use Strkr

Five broker playbooks.

The playbooks below are patterns Strkr's onboarding team sees on broker deployments across insurance, mortgage, and M&A roles.

Pattern A

The independent commercial insurance broker.

An independent commercial insurance broker in Hartford ran a 180-client book shopping risks across 14 carriers. The submission tracking lived in a mix of Outlook folders and Excel. Strkr onboarding ran a 14-business-day migration. The counterparty object and submission tracking landed on day one. Submission turnaround time for the top three carriers dropped from 11 days average to seven because the follow-up cadence stayed consistent.

Pattern B

The mortgage broker running VA and FHA loans.

A mortgage broker in San Antonio specializing in VA and FHA loans ran a 60-client pipeline with federal plus Texas disclosure requirements. Strkr onboarding configured the TRID timing tracking, the Texas license requirements, and the referral source tracking for the realtor partnerships. The broker added seven realtor partners to the quarterly thank-you cadence and saw referral deal count climb 42 percent in nine months.

Pattern C

The business brokerage with confidential M&A deals.

A business brokerage in Atlanta handled lower-middle-market transactions ($5 million to $50 million enterprise value) with strict confidentiality on seller side. Strkr onboarding configured confidential deal visibility scoping, representation agreement tracking, and the NDA signature workflow. The managing broker got deal count visibility without seeing identifying details on confidential deals.

Pattern D

The specialty insurance broker handling complex risks.

A broker specializing in professional liability for medical practices shopped each risk across six to 11 carriers per submission. Strkr onboarding configured the counterparty appetite notes per carrier, the submission packaging workflow, and the clinical risk profile schema. Carrier acceptance rate improved from 38 percent to 54 percent because the submission packaging matched each carrier's stated appetite.

Pattern E

The multi-line insurance producer.

A producer at a 48-agent brokerage ran personal lines, commercial lines, and life insurance for a book of 320 clients. Strkr onboarding configured product-type-specific cadences (annual personal lines renewal, quarterly commercial lines review, life insurance underwriting followup) that ran automatically. Cross-sell attach rate climbed from 1.4 products per client to 2.1 in 11 months.

Run the broker book on a CRM shaped for brokers.

Book a 30 minute call. We will walk through the broker schema, the counterparty submission workflow, and the commission tracking with your actual product mix and compliance footprint.

Common questions

What buyers in this bucket ask most.

Does Strkr support insurance AMS integrations like Applied Epic, AMS360, or HawkSoft?

Strkr integrates with major insurance AMS platforms through their published APIs. For Applied Epic the integration pulls policy records, carrier submissions, and endorsements. For AMS360 the integration pulls similar policy data plus commission statements. For HawkSoft the integration pulls personal lines records. The integration writes back new business and submission events. For a mid-size brokerage the integration typically takes an engineering sprint of two to three weeks. For a solo broker the direct webhook tie lands in a few hours.

Can Strkr handle M&A deals with strict confidentiality?

Yes. Strkr's record-level permission scoping lets a broker tag a deal as confidential at creation. The managing broker sees deal count and status without seeing the client or counterparty name on confidential deals. The audit log records every read on confidential records for compliance review. For brokerages that handle M&A under security broker-dealer rules, the confidentiality posture matches FINRA record retention requirements.

How does Strkr handle trailing commission payments?

Strkr's commission engine tracks initial commission at close plus trailing payments on their own schedules. For life insurance renewals a trailing payment can run quarterly for 10 years. For investment advisory products a trailing payment can run quarterly indefinitely. Strkr aging shows which trailing payments are overdue and which are current. The reconciliation surface compares expected trails against counterparty statements with variance flagged for review.

What does Strkr cost compared to Applied Epic, AMS360, or specialty M&A tools?

Strkr prices flat per seat: $29 per user per month on Starter, $59 on Pro, $119 on Scale, with a 14-day trial on paid plans. The AI Enhancement module is a $49 per month add-on. Applied Epic runs $150 to $300 per user per month depending on configuration. AMS360 runs $100 to $200 per user. M&A specialty tools (Intralinks, DealCloud) run higher per seat. Strkr's advantage is the flat per-seat pricing, the open API, and the CRM plus Projects plus Messaging breadth without the AMS deployment overhead.

How does Strkr handle compliance evidence and retention?

Strkr's compliance item object tracks required forms per deal type with state and federal defaults. The audit log retains evidence per retention rules (typically seven years for insurance records, two to three for mortgage records, perpetual for M&A representation records). Retention is configurable per record type. The audit log records every record read, every record write, and every email sent. HIPAA BAA available for brokers handling health-related products. SOC 2 Type II in progress with 2026-Q4 target.

Can Strkr handle a broker who runs multiple product lines?

Yes. A broker running personal lines plus commercial lines plus life insurance (or mortgage origination plus refinance plus commercial lending) gets product-type-specific cadences, product-type-specific compliance checklists, and product-type-specific commission structures under one client record. The client sees one consistent broker relationship across products. The broker sees cross-product attach opportunities surfaced on the client card.

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