A marketing-first CRM solves the demand gen workflow: capture leads, nurture them to pipeline, attribute revenue back to campaigns, and hand off to sales without the sync drift. Strkr ships the full workflow in one tool. No HubSpot sync, no Marketo plus Salesforce handoff, no Zapier recipes.
A marketing-first CRM buyer wants to run demand generation from a single tool. Legacy stacks force a separate marketing automation tool (HubSpot Marketing Hub, Marketo, Pardot) plus a CRM (Salesforce, HubSpot CRM) with a sync that drifts. The pain points below are what Strkr onboarding hears on every intake call with a marketing-first team evaluating a shift.
A legacy marketing CRM stack runs HubSpot Marketing Hub for nurture, HubSpot CRM for pipeline, Zapier for sync gaps, SendGrid or Resend for transactional, Unbounce for landing pages. The monthly stack cost accumulates and the sync drift breaks attribution. Strkr consolidates the five surfaces on one tenant.
Legacy stacks run marketing automation and CRM as separate tools with a sync. Contacts drift. Email bounces update one side. Deal stage changes do not reach the nurture flow. Strkr runs capture, nurture, and pipeline on the same tenant so there is no sync. The record is a single object across the whole lifecycle.
Legacy stacks drop UTM parameters at the marketing-automation to CRM handoff. Attribution to closed-won revenue breaks. Strkr captures UTM natively and binds parameters to the record on first click. Attribution survives through closed-won with first-touch, last-touch, and multi-touch credit models.
Legacy stacks run marketing and sales on different tools with different stage definitions. Marketing reports 42 MQLs, sales accepts 11. Strkr runs a shared lifecycle model where MQL, SAL, SQL, and Opportunity have explicit entry and exit criteria. Marketing and sales argue data, not definitions.
Marketing automation AI, CRM AI, email composer AI, each with a separate subscription. The invoice adds up fast. Strkr AI runs across capture, nurture, email composer, pipeline reports, and forecast narration as a single $49 per month add-on with 5,000 calls included. One AI invoice, five surfaces.
Legacy stacks report email events (opens, clicks, bounces) in marketing automation and pipeline velocity in CRM. The marketer stitches the two for attribution reports. Strkr reports email events alongside pipeline alongside closed-won revenue in one view. Attribution to revenue happens natively.
Strkr marketing CRM covers the full demand gen workflow on one tenant. Hosted landing pages, embedded forms, nurture flows, UTM attribution, pipeline management, forecast, and reporting all live together. The cards below walk through the surfaces.
Hosted landing pages run on a tenant subdomain or custom domain with the firm branding. The drag-and-drop builder supports hero, form, feature grid, logo wall, testimonial, FAQ, pricing table, and footer blocks. A/B testing runs natively on headline, hero, form length, and CTA.
Embedded forms render inline on any site with one line of JavaScript. The form binds to CRM fields with picklist alignment. Progressive profiling supports multi-touch journeys. Four layers of spam filtering (reCAPTCHA, honeypot, rate limiting, AI junk detection) land submissions clean to the pipeline.
Nurture flows run tenant-defined cadences with Strkr AI drafting emails in the firm voice. The flow fires off the prospect record with lifecycle stage, UTM context, and prior engagement history available to the AI. The audit log captures every send for compliance posture.
Strkr captures UTM parameters, gclid, fbclid, msclkid, referrer URL, and landing page URL on first click. On submit the parameters bind to the prospect record. As the record advances through pipeline stages the UTM payload stays attached. Revenue attribution surfaces with first-touch, last-touch, and multi-touch credit models.
The default pipeline runs seven stages (Prospect, Discover, Qualify, Propose, Negotiate, Verbal, Closed Won) with weight percentages, exit criteria, and expected activity per stage. The admin tunes stages per sales motion. The AE sees the pipeline board on day one with cards grouped by stage.
The admin configures MQL, SAL, SQL, and Opportunity with explicit entry and exit criteria. Both marketing and sales see the same stage definitions. Per-stage SLA applies to both teams. The weekly marketing-sales sync runs off the shared funnel view.
The forecast module ships with a weekly submit cadence (Friday 12:00 local lock) and a Monday-morning roll-up email to the CRO. Managers see team submission status in a single view. Strkr AI runs forecast risk commentary on up to 30 deals per batch for weekly forecast prep.
The report library includes forecast accuracy, pipeline coverage, stage conversion funnel, cycle time, win-rate by segment, cost-per-lead, cost-per-closed-won, email performance, flow conversion, and multi-touch attribution. Each report is editable and exports to CSV.
Marketing CRM AI runs across capture, nurture, email composer, pipeline reports, and forecast narration. The buyer never picks a model, never configures a provider. Strkr AI is an opt-in add-on at $49 per month with 5,000 calls included and $0.012 per call overage.
For new landing pages Strkr AI drafts headline options, hero sub paragraphs, and feature grid copy from the campaign brief. The marketer reviews, tunes, and launches. New-page time-to-live drops from 11 business days to 2 business days.
Every submission carries a Strkr AI fit score with reasoning text. The score drives sales queue priority and marketing routing (high-fit to SDR queue, low-fit to deflection flow). The marketer sees fit score distribution in the campaign report.
Strkr AI drafts nurture emails from the prospect record context (industry, role, prior touches, lifecycle stage). The marketer approves once per flow step. Subsequent runs maintain the tone and context awareness.
The email composer opens with a Strkr AI draft grounded in the record context. The rep reads, tunes two sentences on average, and sends. Average draft tune time runs 90 seconds versus 11 minutes to write from scratch.
For the weekly pipeline review Strkr AI drafts a narrative covering top opportunities by weighted value, deals at risk, deals advancing on schedule, and deals stalled. The manager uses the draft as prep for the one-on-one with reps.
After a campaign closes Strkr AI drafts a retrospective summary with spend, submissions, pipeline velocity, closed-won revenue, and the recommended next-campaign focus. The marketer uses the retrospective in the executive marketing review.
Marketing CRM lives or dies on marketing-sales alignment. Strkr runs the alignment layer natively because marketing and sales live on the same tenant. The cards below walk through the alignment mechanics.
The admin configures the full lifecycle with explicit entry and exit criteria in the admin console. Both marketing and sales see the same stage definitions on the lead card and the reporting view. The lifecycle drives routing, SLA, and workflow triggers for both teams.
Per-stage SLA (24 hours for MQL to first SDR touch, 7 days for SAL to qualification call, 48 hours for AE to accept SQL handoff) applies to both teams. Breach rate reports visible to both marketing and sales. SLA discipline becomes a shared accountability.
The funnel view shows volume, conversion rate, velocity, and bottleneck flagging from capture through closed-won. Marketing sees top of funnel. Sales sees bottom. Both see the full picture. The weekly marketing-sales sync runs off this shared view.
The UTM payload stays attached to the deal through closed-won. Multi-touch attribution surfaces credit with first-touch, last-touch, and linear credit models. The CFO sees marketing-attributed revenue on the same report the CRO uses for forecast review.
The SDR completes a required discovery summary, next-step owner and date, and the account research pack. The AE has 48 hours to accept or decline. Acceptance advances the lead to Opportunity. Handoff acceptance rate, time to acceptance, and downstream conversion track by SDR.
For the weekly marketing-sales sync Strkr AI drafts a one-page alignment note with MQL volume, SAL acceptance rate, SQL conversion, SLA breach rate, and the top three handoff friction points. The marketer and the sales lead run the sync off the shared note.
The comparison below is Strkr marketing CRM posture versus a HubSpot Marketing Hub plus Sales Hub stack for a 14-user team.
| Feature | Strkr | HubSpot Marketing Hub + Sales Hub |
|---|---|---|
| Marketing and sales on same tenant | Native, no sync. | Two hubs with shared contacts. |
| UTM to closed-won attribution | First-touch, last-touch, multi-touch. | Yes with Marketing Hub tier. |
| Hosted landing pages | Native with A/B testing. | Yes with Marketing Hub. |
| Nurture flows with AI drafting | Native with $49 add-on. | Breeze credits burn under heavy use. |
| Lead scoring with reasoning | Fit score with reasoning text. | Magic number typical. |
| Shared lifecycle MQL/SAL/SQL | Admin configures in GUI. | Yes. |
| Credit meter | None, flat per-seat. | Breeze credits. |
| Flat per-seat pricing | $29/$59/$119. | Marketing Hub per contact plus Sales Hub per user. |
| Implementation timeline | 18 to 24 business days. | 45 to 90 days typical. |
| Monthly cost for 14 users plus 10K contacts | $875 per month with 14-day trial. | $1,890 to $3,290 per month typical. |
The playbooks below are patterns Strkr onboarding sees across marketing-first CRM deployments.
A 14-user marketing team ran HubSpot Marketing Hub plus Sales Hub plus Unbounce plus Zapier at $2,100 per month combined. Strkr onboarding ran a 24-business-day migration consolidating onto a single tenant. Monthly stack cost dropped to $875 including AI Enhancement. Marketing-attributed revenue reporting ran on week two. The marketing team reclaimed about 14 hours per week on stack maintenance.
A 42-rep SaaS team ran Marketo for marketing automation and Salesforce for CRM with the standard sync drifting weekly. Strkr onboarding ran a 32-business-day migration consolidating marketing and sales on a single tenant. The shared lifecycle model landed on week two. MQL to SQL conversion lifted 24 percent and the Marketo subscription closed, saving $4,800 per month.
An 11-rep startup with no legacy stack built the marketing CRM from scratch on Strkr. The 10-business-day setup configured landing pages, forms, nurture flows, pipeline stages, and AI drafting. The team enabled flows and the AI module on day one. First-full-quarter MQL-to-SQL conversion ran 42 percent with no legacy CRM to disentangle.
An 85-rep enterprise ran Marketo plus Salesforce plus Bizible with attribution breaking at the Marketo-Salesforce boundary. The CFO had been running marketing budget conversations on gut feel. Strkr onboarding ran a 42-business-day migration consolidating onto Strkr. Multi-touch attribution landed on the standard reporting view. Marketing budget conversations moved to data.
A 24-rep demand gen agency ran marketing CRM for 11 client accounts across HubSpot and Pardot. Attribution drift broke client reporting. Strkr onboarding migrated the clients to per-client Strkr tenants under the agency parent operations tenant. Attribution survived to closed-won for each client with multi-client reporting rolled up through the standard reporting API.
Book a 30 minute call. We will walk through the marketing CRM surfaces, the shared lifecycle model, and the attribution reporting with your actual campaigns and sales motion.
The structural difference is that Strkr runs marketing and sales on the same tenant with no hub boundary. HubSpot runs Marketing Hub and Sales Hub as separate products with shared contacts and separate per-seat and per-contact pricing. The sync between the two hubs holds within HubSpot but still carries a per-feature licensing model. Strkr runs capture, nurture, pipeline, forecast, and reporting as native capability on a single tenant with a single per-seat price. Attribution, lifecycle, SLA, and handoff all live natively.
Yes. For teams up to roughly 180 users Strkr delivers the full marketing CRM workflow (capture, nurture, pipeline, forecast, reporting) on a single tenant. For larger teams or teams with sophisticated behavioral modeling, multi-brand orchestration, or deep ABM targeting beyond the standard tier the admin can tie Strkr to dedicated specialized tools through the standard webhook spec. The pricing scales flat per seat without a tier jump for AI drafting or attribution.
Strkr runs flat per seat at $29 on Starter, $59 on Pro, and $119 on Scale per user per month, with a 14-day trial. For a 14-user team on Pro the monthly spend runs $826 for seats plus $49 for AI Enhancement if enabled. HubSpot Marketing Hub Professional at $800 plus Sales Hub Professional at $1,400 for 14 users plus $45 per 1,000 contacts runs around $3,290 per month. Marketo Engage at $4,800 plus Salesforce Sales Cloud at $1,120 for 14 users runs around $5,920 per month. Strkr delivers the same workflow at $875.
The admin configures MQL, SAL, SQL, and Opportunity with explicit entry and exit criteria. Per-stage SLA (24 hours MQL to first touch, 7 days SAL to qualification, 48 hours AE to accept) applies to both teams. The weekly marketing-sales sync runs off a shared one-page alignment note drafted by Strkr AI. Attribution to closed-won revenue surfaces on the same view marketing and sales use for pipeline review. Disputes about lead counts and handoff quality resolve against the admin-configured definitions.
Yes. Landing page A/B tests run on headline, hero image, form length, and CTA copy. Email A/B tests run on subject line, body copy, send time, and sender name. The marketer defines variants and sample sizes, Strkr randomizes traffic, and the analytics view surfaces conversion by variant with confidence intervals. Winning variants promote to the live page or email flow with one click. Historical variant data persists for retrospective analysis.
Yes. Strkr onboarding runs migrations from HubSpot (Marketing Hub plus Sales Hub plus CMS), Marketo Engage, Pardot (Salesforce Marketing Cloud Account Engagement), ActiveCampaign, Keap, Mailchimp Marketing, and legacy custom stacks. Typical migration for a 24-user team runs 18 to 28 business days end to end. The migration preserves contacts, flows (converted to Strkr nurture flows), email templates, landing pages (migrated to hosted landing pages), and reporting history.
Strkr is GDPR and CCPA compliant today, HIPAA compliant with a BAA available on request, and SOC 2 Type II is in progress with target completion 2026-Q4. For marketing GDPR support includes consent capture on forms, data subject rights honored through the standard export and deletion flow, and the retrieval index clears when the underlying record deletes. CAN-SPAM compliance covers email sending. The audit log captures every email send, every flow transition, every record change, every AI call. Integration tokens live in AWS KMS, platform credentials live in AWS Secrets Manager.
No sales call, no migration consultant, no four-month implementation. Enter your card, get 14 days of the full Pro tier, cancel any time before day 14 with zero charge. Spin up a workspace, import your CSV, and have something useful before lunch.
