Built for sales plus service teams

A CRM where sales and service live on the same account view, by design.

Customer service lives on the same account the AE is trying to upsell. Separating them into two systems (CRM for sales, help desk for support) creates reconciliation projects and visibility gaps. Strkr ships native ticketing, SLA tracking, and macros on the same tenant as the CRM, with role-based visibility across sales and support.

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What this audience is actually dealing with

The pains that bring buyers here.

Teams running sales plus support on separate tools (CRM plus Zendesk, Salesforce plus Freshdesk, HubSpot plus Help Scout) hit a predictable set of frictions. The reconciliation project, the visibility gap on the account view, the double-pay per seat for support agents who also need CRM access, and the integration debt that accumulates across vendor updates. Below are the patterns.

Reconciliation projects

Monthly audit between CRM and help desk.

With sales and support on separate tools, the admin runs a monthly reconciliation to make sure contact records, account hierarchies, and ownership assignments match across systems. The reconciliation is a 4 to 8 hour project per month that falls on the admin and routinely finds mismatches that break downstream reporting. Strkr handles both motions on one tenant with one data model and zero reconciliation.

Visibility gap on accounts

The AE does not see the support tickets; the support rep does not see the deals.

When sales and support live separately, the AE calling an account does not see that support is firefighting a P1 ticket on that same account. The support rep closing a ticket does not know the renewal is up for review next month. The context fragmentation leads to bad customer moments. Strkr's shared account view shows open deals and active tickets with role-based visibility.

Double-seat tax

Support agents pay for CRM they do not use.

Vendors that split sales and service into separate products often require a CRM seat for support agents who need account access, and a help desk seat for sales reps who need ticket visibility. Teams pay for seats on both tools, which doubles the per-head cost. Strkr's per-seat pricing covers both sales and support use cases per seat, no cross-product duplication.

SLA signal does not reach sales

The AE calls the account the same day it hits an SLA breach.

When sales and support are separate systems, the AE has no visibility into the account's current SLA state. Calling an at-risk account on the day it hits an SLA breach is the kind of mistake that costs renewals. Strkr surfaces SLA state on the account record so the AE sees P1 ticket open, 23 hours to SLA breach before the call.

Ticket deflection does not reach product

The feature-request pile does not inform the roadmap.

Support reps field feature requests and workaround workflows daily, but the signal does not flow back to product in a usable form. Strkr tags feature requests on tickets as a structured field, rolls them up into a product-request report, and surfaces the aggregated signal to the product team. The feedback loop between support and product closes.

Compliance-sensitive support

Health-adjacent or financial support needs a BAA scope.

Support interactions sometimes touch regulated data (health information, financial details, suitability notes). Separate help desk tools often operate outside the CRM's compliance scope, which creates audit complexity. Strkr handles support tickets inside the same HIPAA-aware tenant as the CRM, with BAA available and audit log coverage.

What Strkr service actually ships

Service primitives alongside the CRM.

Strkr's service surface is native, not a bolted-on help desk. The cards below are the primitives on day one. Each one works on the same account record the sales team uses, so the context is shared.

Ticket object

Native ticket records on the account.

Service tickets are first-class records on the account surface. Each ticket carries subject, description, status, priority, SLA, assignee, requester contact, related product, and resolution notes. Tickets tie to accounts and contacts natively, so the AE sees active tickets on the account view and the support rep sees the deal context on the ticket view with role-based visibility respected.

SLA tracking

First response, resolution, business hours.

SLA tracking covers first response, resolution, and business hours per ticket priority. The SLA respects per-tenant business hours (support team available Monday-Friday 9-5, or 24x7) and holiday calendars. The admin configures the SLA matrix once per account tier or support plan; the system enforces per ticket. SLA breach warnings fire on configured thresholds.

Macros and canned responses

The 15 responses support reps use most.

Macros ship as reusable response templates with field substitution (contact first name, account name, product name, link to resolution article). Support reps apply a macro with a keyboard shortcut and edit for context. The admin manages the macro library centrally so brand voice stays consistent and compliance review happens once per macro.

Queue views and assignment

Shared and personal queue views for support reps.

Queue views cover the shared team queue (unassigned tickets, prioritized by SLA risk and age) and the personal queue (tickets assigned to the current rep). Views filter by priority, product, requester tier, and SLA state. Assignment rules route new tickets based on configured criteria (product expertise, time zone, availability). Round-robin assignment covers the general case.

Email-to-ticket

Inbound emails become tickets automatically.

Support email addresses (support at tenant domain) convert inbound emails into tickets. The system matches to existing contacts and accounts on sender email, parses the subject and body, and creates the ticket in the right queue. Threaded replies append to the ticket thread. The admin configures the match rules once; the system handles ongoing conversion automatically.

Portal for customers

Customer-facing portal for ticket visibility.

The customer portal gives end users a view into their open tickets, submission form, and knowledge base articles. The portal respects per-tenant branding (logo, colors, domain) and per-account visibility (contacts see their account's tickets but not other accounts). The portal is included on the standard support tier without a separate per-portal fee.

Knowledge base

Articles and resolution guides on the same tenant.

The knowledge base lives inside the Strkr tenant with versioning, workflow for drafting and approval, and per-article analytics. Articles link from tickets as resolution references. Customer-facing articles appear in the portal; internal articles stay inside the team scope. The knowledge base includes a search surface and auto-suggests relevant articles while a rep is drafting a ticket reply.

Strkr AI summary and reply drafts

The AI reads the ticket and drafts the response.

Strkr AI reads the ticket thread, the account history, the related product usage, and drafts a reply with the right context attached. The rep edits in 20 seconds instead of writing from scratch in 2 minutes. The AI also summarizes long ticket threads for new reps picking up a ticket mid-conversation, which cuts handoff time per ticket.

Satisfaction surveys

CSAT and NPS tied to ticket resolution.

Post-resolution surveys ship with configurable CSAT or NPS questions. Results tie to the ticket and the rep for coaching cadence. Account-level satisfaction trend surfaces on the account view so the AE sees the renewal risk signal from support experience alongside the pipeline. The survey primitive is included on the standard support tier.

Sales plus service in practice

The wins when both motions share a tenant.

Teams moving from a separate-tool model to a shared-tenant model see predictable wins. The cards below are the patterns we hear on review calls after 90 days.

Account health visibility

The AE sees the ticket pile before the renewal call.

Account health signals (open tickets, SLA state, CSAT trend, severity history) surface on the account view the AE opens before every renewal conversation. The AE walks into the call aware of the support context and can address it directly rather than being surprised. Renewal retention on accounts with active support issues improves 15 to 25 percent compared to the uncoordinated baseline.

Expansion signal from support

Feature requests on tickets become expansion opportunities.

When support reps tag feature requests on tickets, the aggregated signal flows to sales as expansion opportunity. Account X has requested feature Y three times across three tickets in 90 days becomes an AE prompt to discuss the enterprise tier that includes feature Y. Expansion attribution to support-sourced signals runs 10 to 20 percent of pipeline at mid-market teams on this pattern.

Service escalation to CSM

High-value accounts route to CSM, not general queue.

Routing rules send tickets from strategic or high-ARR accounts to the account CSM rather than the general support queue. The CSM owns the resolution path with the sales context in hand. The pattern replaces the general-queue escalation chain that fragments the customer experience on high-value accounts.

Macro consistency with brand voice

Marketing-approved responses applied across tickets.

Marketing-approved response templates (macros) carry the brand voice and messaging across every ticket interaction. Support reps apply with a keyboard shortcut and edit for context. The quality floor across the team rises; new-hire reps hit the right voice from day one.

Knowledge-base linked resolution

Articles cited in ticket replies improve deflection.

When reps link knowledge base articles in replies, customers who view the article resolve their own next issue more often. The deflection rate on common issues (password reset, billing inquiry, specific product configuration) rises 20 to 40 percent compared to the pre-knowledge-base baseline. Support capacity frees up for complex tickets.

Compliance scope coverage

HIPAA-sensitive support stays inside the BAA scope.

For teams whose support interactions touch regulated data (health information, financial details), the shared-tenant model keeps support inside the same HIPAA-aware audit scope as the CRM. The compliance officer runs one audit scope rather than reconciling across two tools. BAA coverage, audit log, and retention policy apply consistently.

Where we fall short

What Strkr service will not do.

Strkr's service surface covers mid-market help desk workloads well. For some workloads a dedicated help desk tool wins; below are the limits we want to be straight on.

Not a specialized ITSM platform

Jira Service Management, ServiceNow own ITSM.

For enterprise IT service management (ITIL-compliant change management, CMDB, major-incident coordination, deep CAB workflows), a specialized ITSM platform (ServiceNow, Jira Service Management, Freshservice) is the right tool. Strkr's service surface covers customer-facing support, not internal IT ops at ITSM scale.

Not a telephony-first contact center

Inbound call volume at scale lives in contact-center tools.

For inbound call-heavy support operations (hundreds of inbound calls per hour, deep IVR routing, real-time workforce management), a specialized contact-center tool (Five9, Genesys, Talkdesk) is the right choice. Strkr handles inbound calls as tickets but does not run as the inbound routing engine for high-volume operations.

Not a chatbot platform

AI chatbots at scale have specialized vendors.

For AI chatbot deployment at scale (intent classification, deep intent flow, specialized conversational-AI tooling), a specialized vendor (Intercom Fin, Ada, Drift, Zendesk AI add-ons) runs deeper. Strkr AI drafts ticket replies natively; a full conversational-AI chatbot surface is a different depth. Teams running chatbot-heavy support integrate the specialist with Strkr via webhook.

Not a field service dispatch tool

Field service with route optimization lives elsewhere.

For field service operations with route optimization, dispatch management, and crew scheduling (HVAC, plumbing, utility, construction), a dedicated field service management (FSM) tool is the right choice. Strkr tracks service tickets and ties to accounts, but the dispatch and routing math lives in the FSM tool and syncs to Strkr via API.

Not a specialized CSAT or VoC platform

Deep voice-of-customer analytics have dedicated tools.

For deep voice-of-customer analytics (text analytics on open-ended survey responses, journey mapping, cross-touchpoint sentiment analysis), specialized VoC tools (Medallia, Qualtrics XM) run deeper. Strkr's CSAT and NPS primitives cover the common survey patterns; the full VoC analytics surface is a different depth.

Not a replacement for product management tools

Feature-request pile is a tag, not a roadmap.

Strkr tags feature requests on tickets and rolls them up into a report that informs the product team. The actual roadmap management (prioritization, release planning, specification writing) lives in a product management tool (Linear, Jira, Productboard, Shortcut). Strkr feeds the signal; the product team runs the roadmap.

Head-to-head

Strkr sales plus service vs HubSpot Sales Hub plus Service Hub.

HubSpot splits sales and service into separate Hubs with coordinated pricing. The straight comparison on the dimensions that matter when teams run both motions.

Feature Strkr HubSpot Sales Hub Pro + Service Hub Pro
Vendor and bill count One tenant covering sales and service Separate Hub licensing with coordinated billing
Shared account view Deals and tickets on the same account surface, role-scoped visibility Cross-Hub view available on higher tiers
SLA tracking Native with first response, resolution, business hours Service Hub Pro feature
Customer portal Included on standard support tier Service Hub Pro feature
Knowledge base Native with versioning, workflow, article analytics Service Hub Pro feature
Strkr AI for ticket drafting Native, included on standard tier Breeze credits meter past floor
Audit log coverage Full audit on every object on every tier Audit on Enterprise
HIPAA posture HIPAA compliant with BAA available HIPAA requires Enterprise plus specific contract
Macro and canned response library Native with keyboard shortcuts Snippets and templates
Per-seat cost (typical mid-market) Flat per seat covers both motions 2 seats per rep who touches both motions on standard tier
How teams use Strkr

How sales-plus-service teams run Strkr today.

The patterns below are motions that are live on customer accounts right now. The thread across them: each team consolidated a two-tool stack into Strkr and saw account visibility improve while per-seat cost dropped.

48-rep B2B SaaS, 12 support agents

Renewal retention lifted 23 percent on at-risk accounts.

A 48-rep B2B SaaS team with 12 support agents had been running HubSpot plus Zendesk with a monthly reconciliation project. The move to Strkr collapsed the stack to one tenant. The AE now sees open tickets and SLA state on the renewal account before calling. Renewal retention on at-risk accounts (defined as 2 or more open tickets or 1 or more P1 within trailing 90 days) rose from 68 percent to 84 percent inside 2 renewal cycles. The admin's monthly reconciliation project retired.

32-rep agency, mixed sales and service

Reps split 60/40 sales and service on the same accounts.

A 32-rep agency where account managers split roughly 60 percent sales and 40 percent service work on the same client accounts had been running CRM plus help desk with constant context switching. On Strkr the AM owns both motions on the shared account view. The AM time saved on tool switching was roughly 90 minutes per AM per day, which allowed the agency to add two retainer clients per AM without hiring.

24-advisor RIA, HIPAA-sensitive support

Health-adjacent support stays inside the BAA scope.

A 24-advisor RIA runs support interactions that occasionally touch health information (long-term-care planning, disability underwriting). The prior tool stack had the help desk outside the BAA scope, which created audit complexity. On Strkr both motions sit inside the HIPAA-aware tenant with BAA coverage. The compliance officer runs one audit scope. The audit cycle dropped from 2 weeks to half a day.

18-rep DTC brand, high ticket volume

AI drafting cut per-ticket response time 60 percent.

An 18-rep DTC apparel brand runs 400 to 600 inbound tickets per day across shipping inquiries, returns, and product questions. Strkr AI drafts the reply with order context attached (shipping status, return eligibility, product spec). Reps edit in roughly 20 seconds versus writing from scratch in 90. Per-ticket response time dropped 60 percent and total ticket capacity rose 2.4x without hiring. CSAT held above 92 percent across the shift.

60-rep enterprise SaaS, CSM-owned escalation

Strategic accounts route to CSM, not general support queue.

A 60-rep enterprise SaaS team routes tickets from strategic accounts (defined by ARR tier and strategic flag) to the account CSM rather than the general support queue. The CSM owns the resolution with full sales context in hand. The pattern replaced a general-queue escalation chain that fragmented the customer experience on high-value accounts. CSAT on strategic accounts improved 18 points and NRR improved 7 percentage points inside 2 quarters.

A CRM where sales and service share the account record and the audit trail.

Start a 14-day trial with the service surface active: ticketing, SLA tracking, macros, customer portal, knowledge base, Strkr AI drafting. One tenant, one bill, one audit scope.

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Common questions

What buyers in this bucket ask most.

How is Strkr's native service different from using Zendesk alongside Strkr?

Native service shares the tenant, the account record, the permission model, the audit log, and the compliance posture with the CRM. Running Zendesk alongside Strkr via integration gives you ticket data, but the integration creates a reconciliation burden, splits the per-seat cost across two vendors, and creates two systems of audit record. For teams whose service workload fits mid-market help desk shape, Strkr's native surface removes the integration overhead and the double-pay per seat. For teams with highly specialized help desk requirements (specific Zendesk features, deep ITSM integration, specific industry workflow depth), running Zendesk and integrating is still viable; the Strkr API supports the integration and we document the pattern.

Does the support rep need a separate seat type on Strkr?

No. Every Strkr paid seat covers both sales and service use cases per the role-based permission model. The admin configures roles for sales reps (visibility of accounts, deals, service as context), support reps (visibility of accounts, tickets, deals as context), CSMs (visibility of both motions with the strategic account subset), and admins. There is no sales-seat versus service-seat pricing distinction. For a 20-rep team split 15 sales plus 5 support, the total seat count is 20, not 25.

How does the SLA tracking actually work?

SLAs are configured per account tier (standard, premium, enterprise) or per support plan. Each SLA defines first-response time, resolution time, and business-hours context. The admin configures business hours per team (Monday-Friday 9-5, or follow-the-sun 24x7) and holiday calendars. When a ticket arrives, the SLA engine starts tracking against the configured target. Breach warnings fire at 50 percent and 80 percent of the SLA window. Breach events log in audit and surface on the account view so the account owner sees the risk signal. For teams with specific SLA complexity (follow-the-sun across time zones, severity-based SLA tiers, product-specific SLAs), the admin console supports the configuration.

Can we migrate from Zendesk or Freshdesk cleanly?

Yes. The migration pattern uses the open REST API and the migration tooling (via Import2 or direct) to move tickets, contacts, accounts, macros, SLA configurations, and knowledge base articles. The dry-run against a scratch tenant lets the ops lead validate before cutover. Historical tickets land with their original IDs preserved for cross-reference and the activity timeline carries the full history. For teams with heavy automation or custom-field complexity, the migration runs 2 to 4 weeks on a professional-services engagement. Rollback cushion of 30 days post-cutover gives the ops lead time to validate before cancelling the source subscription.

How does Strkr AI handle ticket drafting without hallucinating?

Strkr AI runs retrieval over the live tenant database before drafting a response, cites the records it is reading (the ticket thread, the account history, the related product usage, the resolution articles), and refuses to draft when the retrieval returns nothing relevant. The AI respects the user's claims so a support rep cannot ask the AI about an account they cannot read directly. Every AI draft is a draft; the rep reviews and sends. There is no autonomous send mode. For regulated-industry teams, the AI call audit log captures every prompt, response, model routed to, and user ID for compliance review.

What is the typical implementation timeline for a sales-plus-service rollout?

Standard implementation runs 3 to 5 weeks for a mid-market team running both motions. Week 1: schema snapshot from source CRM plus source help desk, migration dry run. Week 2: SLA matrix, macro library, knowledge base article migration, portal branding configuration. Week 3: production cutover in a maintenance window. Week 4-5: role-based training for sales reps, support reps, CSMs, admins. The combined-motion migration takes slightly longer than a sales-only migration because of the help desk configuration (SLA matrix, macros, routing rules, portal) but still fits inside a typical mid-market project window. Fixed-fee quote covers travel for exec workshops on larger rollouts.

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