Built for teams running sales and marketing on one record

A CRM where marketing campaigns feed the sales pipeline on the same database.

Marketing-automation and CRM have historically been separate products that sync loosely. The result is attribution math everyone argues about and leads that fall through the handoff gap. Strkr ships campaigns, lead scoring, ABM, and attribution natively on the same record as the sales pipeline.

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What this audience is actually dealing with

The pains that bring buyers here.

Combining sales and marketing on one tool is the single most-requested buyer pattern this quarter. HubSpot has owned the category by framing CRM plus Marketing Hub as one platform. Pardot has tried to do the same alongside Salesforce. Both patterns still show the seams. The cards below are the pains that show up when sales and marketing live in parallel systems.

The two-tool handoff

The MQL lands in the CRM 15 minutes stale.

The marketing-automation tool scores a lead to MQL, the sync fires, 15 minutes later the lead lands in the CRM. The SDR calls, the prospect has already engaged with a different piece of content, the SDR is behind the signal. Strkr scoring runs on the same database as the CRM so MQL promotion is immediate.

Attribution math nobody trusts

Marketing says first-touch, sales says last-touch.

With sales and marketing in parallel systems, the attribution math requires manual reconciliation. The quarterly argument about which touch gets credit is a ritual rather than an analysis. Strkr captures every touch in one database with configurable attribution models, so both views exist side by side without debate.

Lead scoring is a black box

A lead scores 85 and nobody knows why.

Lead scoring in marketing-automation tools often runs as an opaque score with no explanation of the component contributions. The SDR picks up the phone without understanding why the lead scored. Strkr lead scoring is explainable: each score shows the contributing signals (role, industry, website behavior, content downloads) so the SDR starts the call prepared.

ABM lives in a third tool

Demandbase, 6sense, LinkedIn Ads do not know the CRM state.

ABM intent platforms (Demandbase, 6sense, LinkedIn Matched Audiences) ship intent signals but do not know the live CRM state. The AE gets an alert about a target account spiking without knowing the account already has an open opportunity. Strkr ABM aggregates intent signals and surfaces them in the context of the live account state.

Contact-tier pricing math breaks

HubSpot Marketing Hub bills escalate as the contact DB grows.

HubSpot Marketing Hub pricing scales with marketing contact tier (1,000 contacts, 5,000, 10,000, 50,000). As the contact database grows, the bill climbs even if the actual marketing activity does not. Strkr pricing is flat per-seat with no contact-tier escalation.

Nobody owns the funnel

Marketing claims the lead, sales rejects it, nothing closes.

When marketing and sales have different systems, the handoff gap produces leads that fall between. Marketing claims to have delivered the lead; sales says the lead was not qualified. Strkr's shared SLA on MQL-to-SQL conversion with explicit disposition reasons closes the gap by surfacing the data both teams need to agree on the standard.

The marketing primitives in Strkr

What ships natively as the marketing-automation surface.

Strkr includes the full mid-market marketing-automation stack as part of the CRM. The cards below are the primitives available on every paid tier. Each primitive composes with Strkr Flows and the sales-pipeline surface so the shared-record architecture holds end-to-end.

Campaign management

Campaigns with budget, pipeline, and revenue tracking.

Campaigns represent discrete marketing initiatives (paid-media campaigns, content launches, conference sponsorships, webinar series) with budget, start and end dates, target segments, and tracked outcomes. Each campaign records touches on the contacts and accounts it engaged. The campaign dashboard shows cost, pipeline generated, revenue closed.

Explainable lead scoring

Score with per-signal contribution visible.

Lead scoring runs on configurable rules (role, industry, company size, website behavior, content downloads, email engagement, campaign touches). Each score shows the contributing signals so the SDR understands why the lead scored. Admins tune weights in the admin console; the historical score history persists for accuracy review.

Nurture sequences

Multi-step email across days or weeks.

Nurture sequences chain email across configurable intervals with branching, dynamic content, and reply-based pausing. The sequence builder is a visual flow surface. Templates ship for common patterns (educational nurture, trial-conversion, post-demo, closed-lost re-engagement). The sequences respect sales-pipeline state transitions so a prospect becoming an opportunity pauses the nurture automatically.

Lifecycle automation

Visitor to lead to MQL to SQL to customer.

Lifecycle automation advances contacts through configurable stages (visitor, lead, MQL, SQL, opportunity, customer) with explicit transition rules. Each stage carries its own automation (welcome email on lead, qualification follow-up on MQL, close-plan nudge on SQL). The lifecycle is visible on the contact record and feeds the funnel reporting.

ABM target accounts

Named-account lists with intent aggregation.

ABM target accounts live as named lists with per-account engagement aggregation. Website visits, content downloads, chat conversations, campaign touches, and third-party intent signals aggregate to each target account. The AE sees engagement by target account in a dedicated ABM view with intent-tier ranking.

Landing page builder

Branded landing pages for campaign capture.

The landing-page builder creates branded pages for campaign capture with embedded forms, dynamic content, and tracked analytics. Pages host on a strkr.io subdomain or on the customer's domain with CNAME configuration. The pages integrate with Strkr tracking natively so form submissions and visits attribute correctly.

Form builder

Progressive profiling, conditional logic, dedup at submit.

The form builder covers progressive profiling (different questions on return visits), conditional logic (branch based on answers), embed-anywhere (any CMS via JavaScript snippet), deduplication at submit (existing emails update existing records), lead-score integration (fields feed the score with configurable weights), smart defaults, and spam containment.

Attribution modeling

First, last, linear, time-decay, custom-weighted.

Attribution modeling runs multiple models in parallel so the marketing and sales teams see all configured views: first-touch, last-touch, linear, time-decay, position-based, custom-weighted. The exec readout shows all models side by side so the attribution conversation becomes a model-selection decision rather than a who-gets-credit argument.

ROI reporting

Campaign spend to pipeline to closed revenue.

The ROI dashboard shows each campaign's spend, pipeline generated, closed revenue, and ROI with the time lag from first touch to revenue tracked. The dashboard filters by date range, campaign type, and target segment. The CFO reads the ROI dashboard monthly for marketing-budget allocation.

The sales-marketing handoff

The points where sales and marketing meet on Strkr.

The sales-marketing handoff has specific breakpoints that most teams get wrong. The cards below are the handoff moments and how Strkr handles each on the shared record.

MQL promotion

The score crosses threshold, the SDR gets the task.

When a lead crosses the MQL score threshold, Strkr Flows fires an SDR task with the lead context attached (score components, recent engagement, firmographic match). The SDR works from the task queue; the lead moves to assigned status within the shared SLA window. The promotion is instant because the scoring and the task creation run on the same database.

MQL disposition

SDR dispositions with explicit reasons.

The SDR dispositions each MQL within the SLA window (accept and qualify, reject with reason, nurture-recycle with trigger). The disposition reasons are a configured list (not ICP, not timing, not budget, not need) so the data stays comparable across reps. The disposition feeds back to marketing with the reason, which closes the handoff gap.

Shared SLA

Marketing commits time to deliver, sales commits time to respond.

Marketing commits an SLA on lead quality and volume; sales commits an SLA on response time (typically 4 hours from MQL creation to first SDR touch). Both SLAs are tracked on the shared dashboard. Breaches surface in the weekly review. The shared accountability framing replaces the mutual blame pattern that undermines most sales-marketing relationships.

Opportunity attribution

The deal records the originating campaign.

When a deal is created from a qualified MQL, the originating campaign records on the opportunity. The campaign ties to all deal activity through the sales cycle. On closed-won, the campaign ROI updates with the actual revenue. The attribution runs automatically because the campaign and the deal are linked records in the same database.

Closed-won nurture handoff

Marketing takes over the customer success nurture.

On closed-won, the automation hands off to the customer success nurture sequence (onboarding, feature introduction, QBR prep, expansion signals). Marketing owns the templates and the cadence; sales and CSM get visibility into every touch. The pattern replaces the common failure where closed-won is the end of marketing engagement.

Closed-lost recycling

Lost deals route back to the right nurture.

Closed-lost deals route to a re-engagement sequence based on the lost reason (lost-to-competitor, lost-to-timing, lost-to-budget). Each reason triggers a tailored sequence (competitor-displacement nurture, timing-reminder sequence, budget-reconsideration touch). The recycle pattern turns closed-lost into a future-pipeline source rather than a dead end.

The ABM motion

Running account-based marketing on Strkr.

ABM is the pattern where marketing and sales align on named target accounts rather than broad lead-volume motions. The cards below are the specific ABM capabilities built into Strkr.

Target account lists

Named accounts with tier, segment, and owner.

Target account lists carry metadata: tier (strategic, enterprise, mid-market), segment (vertical, geography, size), owner (assigned AE, assigned marketing), status (new, in-engagement, in-opportunity, closed-won, closed-lost). The admin manages the lists through the admin console with CSV import, API-driven list management, or dynamic rules.

Intent aggregation

Signals aggregate per target account.

Intent signals aggregate to each target account from the website (visits, downloads), from third-party platforms (6sense, Demandbase intent, G2 reviews, LinkedIn engagement), and from internal signals (conference booth visits, outbound touches). The aggregated view shows the total engagement across sources with time-decay.

Account surfaces

The AE sees the ABM view with ranked accounts.

The AE opens the ABM view with target accounts ranked by intent tier and recent engagement. Each account shows the engagement sources, the open deal if any, the known contacts, the next recommended touch. The AE works the top of the list rather than cold outbound against the full list.

Campaign targeting

Campaigns target the named account list.

Marketing campaigns can target the named account list (LinkedIn Matched Audiences, Google Ads customer-match, display retargeting). The campaign-touch records on each target account; the ROI feeds the ABM campaign dashboard. The pattern replaces the broadcast marketing with targeted ABM-specific creative.

Account alerts

AE alerted when a target spikes.

When a target account's engagement spikes (3x trailing average, pricing-page visit, high-intent content download), the assigned AE gets an in-app and email alert. The alert carries the context so the AE can open a timely outbound touch. Open rates on these alerts run roughly 3x the cold baseline because the AE references the engagement.

ABM reporting

Pipeline and revenue by target account.

The ABM dashboard shows pipeline, revenue, and campaign spend by target account. The CRO reads the dashboard monthly for ABM-strategy decisions (which accounts to double down on, which to retire from the list, which to escalate to strategic status). The reporting cycle feeds the quarterly account-planning conversation.

Head-to-head

Strkr vs HubSpot CRM plus Marketing Hub Pro.

HubSpot CRM plus Marketing Hub is the most-recognized sales-plus-marketing stack. Here is the head-to-head on dimensions that matter when evaluating a unified platform.

Feature Strkr HubSpot CRM + Marketing Hub Pro
Shared record model One database, no sync between sales and marketing Shared platform with record alignment
Lead scoring Explainable with per-signal contribution Marketing Hub Pro, HubSpot score with limited explain
Campaign tracking Spend, pipeline, revenue, ROI native Campaign reporting in Marketing Hub
Nurture sequences Flow-based with branching native Workflows in Marketing Hub Pro
ABM capabilities Target accounts with intent aggregation ABM Hub add-on, higher tier
Attribution models All models in parallel on same database Attribution reports in Marketing Hub Pro
AI drafting Strkr AI on flat tier Breeze credits metered past floor
Contact-tier pricing Flat per-seat, no contact-tier escalation Scales with marketing contact tier
Landing page and form builder Native with embed-anywhere Strong with CMS Hub, limited without
Combined cost on 40-user team Flat per-seat includes full stack Sales Hub Pro + Marketing Hub Pro + CMS Hub typical
How teams use Strkr

How teams run sales plus marketing on Strkr today.

The patterns below are motions live on customer accounts right now. The common thread: teams that unified sales and marketing on one record saw measurable lift on lead conversion and attribution clarity.

42-rep SaaS, ABM-primary motion

Pipeline from target accounts grew from 2.1M to 5.8M USD per quarter.

A 42-rep SaaS team runs an ABM-primary motion with 400 target accounts across three tiers. Pre-Strkr the ABM stack ran across HubSpot Marketing Hub, 6sense, and the sales CRM with sync lag. The move to Strkr unified the intent aggregation, the campaign targeting, and the AE engagement surface. Pipeline from target accounts grew from 2.1M USD per quarter to 5.8M USD per quarter over three quarters. The marketing director attributed the lift to the AE engagement surface showing live account state alongside intent signals, which closed the gap between marketing-sourced pipeline and sales-pursued pipeline.

18-rep agency, inbound-content motion

Content-generated opportunities grew 40 percent year-over-year.

An 18-rep agency runs an inbound-content motion with weekly blog posts, monthly whitepapers, and quarterly webinars. Pre-Strkr the content-to-sales pipeline was unclear. Strkr's campaign tracking tied each piece of content to downstream opportunities and closed revenue. The marketing team doubled down on the two content types driving the most pipeline and dropped three underperforming formats. Content-generated opportunities grew 40 percent year-over-year and marketing budget efficiency climbed 30 percent.

60-rep mid-market, MQL SLA enforcement

MQL-to-SQL response time dropped from 11 hours to 2.5 hours.

A 60-rep mid-market team suffered from a slow MQL response time (11 hours average) because marketing-automation sync lag plus unassigned SDR queue meant MQLs waited. Strkr's on-same-database architecture plus shared SLA dashboard with manager visibility dropped response time to 2.5 hours average. MQL-to-opportunity conversion lifted from 12 percent to 19 percent as the signal reached SDRs while still fresh.

12-rep SMB, first-time marketing-automation

Formal lifecycle automation took hold in 60 days.

A 12-rep SMB had no formal marketing-automation pre-Strkr: email ran from Mailchimp, nurture ran ad hoc, lead scoring did not exist. Strkr's pre-built lifecycle templates (MQL welcome, SQL qualification, closed-won onboarding, renewal) deployed in 60 days with configuration from the owner and a part-time marketing consultant. Lead-to-opportunity conversion lifted from 6 percent to 14 percent.

24-advisor RIA, content-driven acquisition

Content attribution clarified which pieces drove new assets.

A 24-advisor wealth firm runs content marketing (blog posts, webinars, downloadable guides) targeting high-net-worth prospects. Pre-Strkr the attribution was opaque. Strkr's campaign tracking per piece of content showed that two webinar series drove 60 percent of qualified new-prospect pipeline. The firm doubled the webinar cadence and the new-client pipeline grew 50 percent in two quarters.

A CRM where sales and marketing run on one record.

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Common questions

What buyers in this bucket ask most.

Can Strkr replace HubSpot CRM plus Marketing Hub for a mid-market team?

For mid-market unified sales and marketing patterns (campaign management, explainable lead scoring, nurture sequences, lifecycle automation, ABM target accounts, landing pages, forms, attribution modeling, ROI reporting), Strkr replaces HubSpot CRM plus Marketing Hub cleanly. For specialty depth around enterprise-tier marketing-automation (massive-scale lead-scoring models across millions of events, deep CMS integration, specialized industry-vertical marketing surfaces, enterprise-tier reporting that specific marketing-ops teams have built against), HubSpot Marketing Hub Enterprise or Marketo still carry more depth. On a 40-user team, the Strkr per-month cost typically runs 50 to 70 percent lower than the equivalent HubSpot Sales Hub Pro plus Marketing Hub Pro plus Breeze credit allocation. The pricing delta drives the comparison for most mid-market teams.

How does lead scoring work and how do we tune it?

Lead scoring runs on configurable rules the admin tunes in the admin console. Common signals include role (VP and above weighted higher), company size (ICP-matched tiers weighted higher), industry (ICP-matched verticals weighted higher), website behavior (pricing-page visits weighted higher than blog-post visits), content downloads (specific whitepapers weighted higher), email engagement (opens and clicks on key campaigns), and campaign touches (specific campaign exposure). Each signal carries a configurable weight. The score updates in real time as signals arrive. The score history persists per contact so you can trace accuracy and tune weights based on which score ranges actually converted. The explainable surface shows which signals contributed to a given score, which is the surface SDRs reference before each call.

How does the attribution modeling resolve the first-touch vs last-touch argument?

The data layer captures every touch (visit, download, form submission, chat, call, meeting, email) with timestamp. The attribution models run in parallel: first-touch (credits the first known touch), last-touch (credits the last touch before deal creation), linear (equal credit across all touches), time-decay (more credit to recent touches), position-based (40 percent first, 40 percent last, 20 percent middle), custom-weighted (admin-defined). The exec readout shows all configured models side by side so the conversation becomes which model represents the actual go-to-market reality rather than which model gets to win the argument. For teams running the quarterly attribution review, we publish a decision guide on model selection.

What is the ABM target-account workflow for a 100-account strategic motion?

The 100 target accounts land in a named list with per-account metadata (tier, segment, owner, status). Intent signals aggregate per account from the website, from third-party intent platforms (6sense, Demandbase, Bombora via integration), from campaign exposure (LinkedIn Matched Audiences, Google Ads customer-match), and from internal signals (conference booth, outbound outreach). The ABM view ranks accounts by intent tier and engagement recency. The AE assigned to each account sees the engagement view with the next recommended touch. Account spikes trigger AE alerts with the context. The ABM dashboard shows pipeline and revenue by account for the quarterly account-planning conversation. On a 100-account motion with 10 AEs, the pattern typically produces 15 to 25 open opportunities per quarter from the target list, which is a 3x to 5x lift over the pre-ABM baseline for teams who had been running broad-based marketing.

How does Strkr handle the deliverability posture for high-volume marketing sends?

For sends over a few hundred recipients, Strkr routes through a dedicated marketing-send domain configured per tenant with SPF, DKIM, DMARC alignment. The dedicated domain isolates marketing-send reputation from sales rep inbox reputation. Throttling respects per-domain daily limits. Hard bounces and spam complaints trigger automatic suppression. The deliverability dashboard reports inbox placement rate, spam complaint rate, delivery time, and reputation score per domain. Well-configured tenants typically see inbox placement in the 92 to 96 percent range, comparable to best-in-class standalone marketing-automation stacks. For teams with specific deliverability concerns, we offer a deliverability audit during trial that walks through the DNS configuration, the current reputation, and the recommended ramp pattern for new sending domains.

How is pricing structured so that growing the contact database does not blow up the bill?

Strkr is flat per-seat with no contact-tier escalation. A team with 100,000 contacts in the database pays the same seat price as a team with 10,000, assuming the same number of users. Compare to HubSpot Marketing Hub, which scales with marketing-contact tier (1,000, 5,000, 10,000, 50,000, 100,000 contacts), so the Marketing Hub bill can climb by 40 to 60 percent of the base cost as the contact DB grows even if the actual marketing activity stays flat. The Strkr pricing posture reflects the thesis that the marketing team should not be penalized for growing the database over time. For teams running very-high-volume sends (over 1M emails per month sustained) we discuss higher-tier plans; mid-market volume runs cleanly on the standard per-seat tier.

How does Strkr compliance posture support marketing data for regulated industries?

Strkr is HIPAA compliant with a Business Associate Agreement available for teams handling protected health information in marketing databases (healthcare SaaS, medical device, pharma, provider networks). SOC 2 Type II controls are in progress through 2026-Q4. GDPR and CCPA compliance covers data-subject-access, data portability, and deletion workflows for marketing contacts. For financial-services and wealth-management marketing (where client-prospect records trigger specific suitability and anti-money-laundering review requirements), configurable retention per record type and role-based access on the marketing database satisfy the common procurement reviews. The audit log captures every marketing-automation send with contact, campaign, template version, and user who triggered the send, which is the artifact that regulated-industry compliance officers reference during the periodic marketing-communications review. For teams migrating from a legacy marketing-automation platform where compliance posture was ad hoc, we offer a compliance audit during trial to identify gaps and recommend configuration changes before full cutover.

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