Built for demand gen teams who want sales-ready instrumentation, not a silo

A demand gen platform that lives inside the same CRM your sales team uses.

Legacy demand gen stacks live separately from the sales CRM, which creates attribution gaps, data loss at the MQL-to-SAL handoff, and endless integration maintenance. A demand gen platform integrated with the CRM eliminates the data boundary. Strkr runs lead capture, nurture flows, scoring, attribution, and the sales handoff on the same records your AEs work on.

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What this audience is actually dealing with

The pains that bring buyers here.

Demand generation sits at the intersection of marketing and sales. Separate tools for each produce specific friction patterns that show up in weekly operations. Six specific pain patterns show up when demand gen runs on a separate platform from the sales CRM.

Attribution breaks at the handoff

The lead-source signal gets lost between tools.

When demand gen runs on one platform and sales runs on another, the lead-source attribution breaks at the handoff. The marketing team records the lead source accurately; the sales CRM receives a sanitized subset. Six months later nobody can answer "which campaign produced the deal that closed last Tuesday". The attribution gap wrecks ROI analysis.

Nurture flows run in parallel to sales

Marketing automation keeps emailing after the AE engaged.

A classic failure: the AE books a discovery call with a prospect and the marketing automation keeps sending the awareness-stage nurture emails to the same person. The buyer gets confused signals, the AE gets embarrassed, and the brand looks disorganized. Shared data between demand gen and sales eliminates this pattern.

Lead scoring is a black box

The score crossed 50 and nobody knows why.

Lead scoring in demand gen platforms often runs as opaque rules the marketing ops team maintains. When a lead reaches the threshold and routes to sales, the AE sees a score with no visible reasoning. The AE either trusts it blindly or ignores it. Transparent scoring with visible rule traces makes the handoff conversation productive.

Integration maintenance is a tax

Ops spends 10 hours a month keeping the sync healthy.

The integration between demand gen and CRM is a recurring tax: fields that stop syncing, duplicate record creation, mapping drift when either tool updates its schema. Ops teams spend meaningful time every month maintaining the sync. Integrated platforms eliminate this entirely.

Form capture is clunky

Website forms need middleware or a developer.

Capturing a lead from the website form into the CRM often requires a separate middleware tool or custom development. The form fields do not quite match the CRM fields. UTM parameters get dropped. Progressive profiling across return visits is complicated. A platform where forms are native to the CRM capture everything on first form submit.

Reporting lives in two tools

The marketing dashboard and the sales dashboard disagree.

Marketing reports MQL volume from the demand gen platform; sales reports converted-opportunity volume from the CRM. The numbers never quite match because the definitions differ and the data takes a day to sync. Monday leadership meetings include "which number is right" debates. Shared data eliminates the disagreement.

The demand-gen capability inside Strkr

Capture, nurture, score, attribute, hand off on one record.

Strkr runs the demand gen capability on the same records the sales team works on. Six specific pieces compose the capability.

Native form capture

Website forms create CRM records directly.

Strkr forms embed on the website and create lead records directly in the CRM with field capture, UTM parameter preservation, and progressive profiling across return visits. No middleware required, no mapping drift, no custom development. The form schema is admin-configurable and the fields flow into the lead record cleanly.

Nurture flows aware of sales state

Marketing emails pause when sales engages.

Nurture flows run alongside sales activity with explicit sales-state awareness. When an AE books a discovery call, the awareness-stage nurture sequence pauses automatically. When a deal closes won, the renewal-nurture track begins. The pattern eliminates the embarrassing "we are selling to them while marketing is nurturing them" overlap.

Transparent lead scoring

Score components visible on the record.

Lead scoring runs on configurable rules with visible components on the lead record: demographic fit score, behavioral score, engagement score, intent score. The AE sees exactly why a lead reached threshold and can disagree with specific components. Marketing ops configures the rules; AEs see the reasoning.

End-to-end attribution

First-touch to closed-won in one query.

Because demand gen and sales share records, attribution is a single query: which campaign produced which leads, which leads produced which opportunities, which opportunities closed. First-touch, last-touch, and multi-touch models all run on the same data. The quarterly ROI analysis takes minutes instead of a week of data reconciliation.

Structured MQL-to-SAL handoff

Qualification criteria enforced at the handoff.

The MQL-to-SAL handoff runs on structured criteria: fit score threshold, behavioral threshold, specific disqualifiers (student emails, competitor domains, blocked geographies). Leads that fail criteria route to additional nurture; leads that pass route to sales with the full context attached. The handoff is explicit and traceable rather than an invisible threshold crossing.

Shared reporting

Marketing and sales see the same numbers.

The Reports module runs on shared data, so marketing MQL volume and sales SAL volume reconcile by definition. Monday leadership meetings get a single source of truth. Teams can split the reports by dimension (campaign, source, segment) with consistent numbers across marketing and sales views.

What integrated demand gen looks like in weekly operations

Six rituals where the integration earns its keep.

Integration is only valuable when it shows up in the operational rhythm. Six specific rituals that depend on demand gen and sales sharing records.

Monday MQL review

Marketing and sales look at the same list.

Monday morning marketing ops and sales management review last-week's MQLs together: volume, source distribution, routing status, SAL conversion. The review runs on one list because the data is shared. The two functions align on quality criteria and route-friction patterns in real-time instead of blaming each other across silos.

Campaign launch coordination

Marketing briefs sales on the new campaign.

When marketing launches a new campaign, the briefing to sales includes the tracking tags, the expected lead profile, the nurture track, the SAL criteria. Sales knows what is coming and configures its triage accordingly. The attribution flows from campaign to deal cleanly because the tags attach at form capture.

Nurture pause enforcement

AE engagement pauses the awareness track.

When an AE books a discovery call or logs a conversation, the awareness-stage nurture pauses automatically. The buyer stops getting introductory content while actively in a sales conversation. The pattern is enforced by data, not by manual coordination between marketing and sales.

Score-threshold routing

Lead score crosses threshold and routes to AE.

As a lead's score crosses the threshold, the record routes to the appropriate AE based on territory rules. The AE gets a notification with the lead profile, score components, and recent behavior. The handoff is immediate and traceable rather than invisible.

Quarterly attribution review

Marketing and sales review which campaigns produced revenue.

Once a quarter marketing and sales run the attribution review: which campaigns produced qualified leads, which qualified leads became opportunities, which opportunities closed. The review runs on shared data with first-touch, last-touch, and multi-touch models. The data informs campaign investment decisions grounded in revenue outcomes.

Monthly funnel analysis

The team analyzes conversion rates at each stage.

Once a month the team analyzes funnel conversion rates: MQL to SAL, SAL to SQL, SQL to opportunity, opportunity to closed-won. The analysis surfaces specific stages where drop-off is high and informs process adjustments. The pattern turns funnel operations into a continuously improving system rather than a one-time setup.

Where the demand gen capability connects

Six integration points that extend the capability.

Demand gen does not exist alone. It connects to ads, website, data, communications, and the broader revenue system. Six specific integrations.

Google Ads and Meta integration

Ad spend attributes to pipeline and revenue.

Google Ads and Meta integrations attach ad-click data to lead records at form capture. UTM parameters flow through to the opportunity record. The ad-spend-to-revenue attribution runs end-to-end without manual reconciliation. The CAC analysis per channel becomes trustworthy because the data is complete.

Website analytics

Page views and session behavior enrich lead records.

Website analytics integration enriches lead records with page-view history and session behavior. The AE opens a new lead and sees "visited pricing page three times, read the enterprise case study, downloaded the comparison guide". The context accelerates the discovery call because the AE knows what the lead already saw.

Email service integration

Resend and other transactional email providers wire in.

Nurture emails send through integrated email service providers (Resend, SendGrid, SES) with delivery, open, click, and bounce tracking flowing back onto the lead record. The pattern separates transactional email delivery from the automation logic, which keeps deliverability clean while the nurture rules stay in Strkr.

Open API for custom work

Marketing ops builds custom integrations without the vendor.

The Strkr open API exposes leads, campaigns, scores, and attribution data through REST plus webhooks. Marketing ops teams build custom data pipelines, feed warehouse analytics, or integrate with specialty tools without the vendor in the loop. The API is public, documented, and included on all seat tiers.

Flow automation on marketing events

Score changes trigger multi-step automation.

When a lead score crosses specific thresholds, Flow automation can trigger multi-step sequences: route to AE, notify in Slack, create a follow-up task, send a email. The pattern lets marketing ops build sophisticated routing logic without engineering support.

Compliance and consent

HIPAA, GDPR, CCPA, DND handling built in.

Strkr is HIPAA compliant with BAAs available on request, SOC 2 Type II is in progress targeting completion in 2026-Q4, and the platform supports GDPR and CCPA. Consent capture, DND tracking, and unsubscribe handling are first-class rather than bolted on. Marketing teams in regulated verticals (healthcare, financial services) run demand gen with the compliance paper trail the regulators require.

The demand gen funnel in practice

Six funnel stages that mature demand gen operations instrument.

Mature demand gen operations instrument the funnel from top to bottom. Six specific stages that Strkr customers track and the operational decisions each supports.

Visitor to lead conversion

Website visitors who become identifiable contacts.

The first-stage conversion from anonymous visitor to known lead happens through form capture, chat engagement, content download, or event registration. Teams track visitor-to-lead rate per channel and per landing page. The data informs landing-page investment, offer design, and traffic-source prioritization.

Lead to MQL progression

Leads who meet the marketing-qualified threshold.

Marketing-qualified leads are those scoring above the configured threshold on demographic fit plus behavioral engagement. The lead-to-MQL progression measures how effectively the lead pool contains fit buyers vs curious browsers. Low progression suggests targeting issues; high progression without SAL conversion suggests scoring issues.

MQL to SAL handoff

MQLs that sales accepts as qualified for outreach.

Sales-accepted leads are MQLs that sales confirms are worth outreach. The MQL-to-SAL conversion measures the alignment between marketing qualification criteria and sales' actual qualification needs. Low conversion indicates the handoff criteria need adjustment or the data captured at MQL is insufficient.

SAL to opportunity conversion

Qualified leads that become real pipeline.

Sales-qualified leads that become opportunities are the first measurable commercial outcome of demand gen investment. The SAL-to-opportunity conversion measures whether the leads sales accepted were genuinely sales-ready. The data informs scoring calibration and sales enablement.

Opportunity to closed-won

Pipeline that produces revenue by source.

Opportunities to closed-won broken by source attributes revenue outcomes back to specific campaigns. The data closes the ROI loop: which demand gen investments produced revenue, which produced only pipeline, which produced only leads. Investment decisions follow the revenue trail.

Expansion attribution

Multi-year revenue from original lead source.

Beyond first close, mature operations track multi-year revenue (expansion, renewal, cross-sell) back to the original lead source. The expansion attribution often reveals that specific sources produce higher-LTV customers even if their first-close rates are average. Investment allocation follows the full lifetime value.

Head-to-head

Strkr vs separate demand gen plus CRM platforms.

Legacy stacks run demand gen (Marketo, Pardot, HubSpot Marketing Hub) on one platform and sales on another. The head-to-head on operational integration.

Feature Strkr Separate demand gen tool plus CRM
Lead record ownership One record used by marketing and sales Two records that sync
Attribution end-to-end Single query across capture to close Requires data reconciliation
Form capture Native embeds create CRM records Middleware or custom code
Nurture pause on sales engagement Enforced by shared data Manual coordination required
Lead scoring transparency Visible components on record Black box to sales
MQL-to-SAL handoff Structured criteria enforced natively Threshold-based with context loss
Integration maintenance None required 10 to 20 hours per month
Shared reporting Marketing and sales see same numbers Numbers disagree across dashboards
Pricing Flat seat with demand gen included Enterprise contract plus seat fees
Compliance HIPAA with BAA, SOC 2 Type II in progress 2026-Q4 Varies by vendor
How teams use Strkr

Demand gen teams running integrated operations.

Four cases of teams moving from separate demand gen plus CRM to integrated capability.

B2B SaaS, 8-person marketing team

Attribution ROI analysis collapsed from a week to an hour.

A B2B SaaS marketing team of 8 ran quarterly ROI analysis that historically took a full week of data reconciliation between Marketo and Salesforce. After migrating demand gen into Strkr alongside the sales CRM, the attribution query ran in under an hour on shared data. The marketing operations lead reclaimed roughly 40 hours per quarter and the analysis quality improved because the data was complete rather than reconciled.

Mid-market platform, 4-person demand gen team

Nurture pause eliminated the embarrassing overlap pattern.

A mid-market platform ran a persistent pattern where AEs would book meetings with prospects who were still receiving awareness-stage nurture emails. The pattern looked unprofessional and confused buyers. Native nurture pause on AE engagement eliminated the overlap entirely. The marketing team reported fewer "please stop emailing my prospect" complaints from sales.

Enterprise software, 11-person marketing ops team

Form capture replaced three middleware vendors.

An enterprise software company had three middleware vendors handling website form capture across different form types (webinar signup, demo request, content download). Each middleware vendor charged separately and the integration maintenance was constant. Rolling out native Strkr form embeds consolidated the three vendors to zero and freed roughly 15 hours per week of marketing ops time.

Fintech scale-up, 2-person demand gen team

Transparent scoring produced actual sales-marketing alignment.

A fintech scale-up with a small marketing team ran into persistent sales-marketing friction over lead quality. Rolling out transparent lead scoring with visible components on the record let AEs see exactly why a lead crossed threshold. Disagreements became specific ("I disagree that company-size score should be weighted that high") instead of generic ("your leads are bad"). The pod-level handoff conversation became productive.

Vertical SaaS, 6-person team

Compliance posture unlocked a regulated-vertical campaign.

A healthcare-focused vertical SaaS company could not run demand gen in healthcare segments because the prior marketing tool did not sign BAAs. Migrating demand gen to Strkr with a BAA covering lead capture, nurture, and attribution unlocked a previously blocked segment. The team ran their first healthcare campaign within 60 days of migration.

Run demand gen on the same records your sales team works on.

Start a 14-day Strkr trial, embed a form on your website, launch a nurture flow, and watch attribution run end-to-end on shared data. The MQL-to-SAL handoff tightens immediately. Strkr AI drafts nurture copy and routing rules on the flat seat tier.

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Common questions

What buyers in this bucket ask most.

What is a demand generation platform?

A demand generation platform is software that supports marketing teams in generating interest and qualified leads for a product or service. Core capabilities include form capture from the website, landing page hosting, email nurture flows, lead scoring, campaign attribution, and handoff to sales. Legacy demand gen platforms (Marketo, Pardot, HubSpot Marketing Hub, Eloqua) run as separate systems from the sales CRM. Modern integrated platforms like Strkr run demand gen on the same records the sales team works on, which eliminates the attribution gap and the integration maintenance tax.

How is a demand gen platform different from a sales CRM?

Demand gen emphasizes top-of-funnel work: generating and qualifying leads through content, campaigns, and automated nurture. Sales CRM emphasizes bottom-of-funnel work: converting qualified opportunities through pipeline progression. The two overlap at the lead-qualification handoff. Running them as separate systems creates attribution gaps, duplicate data, and operational friction. Running them on shared records in one platform eliminates the handoff seam while preserving the functional separation between marketing and sales teams.

Can Strkr replace Marketo or Pardot?

For most mid-market and lower-enterprise B2B teams, yes. Strkr covers form capture with UTM preservation, landing page hosting, nurture email flows with sales-state awareness, lead scoring with transparent components, attribution across first-touch and multi-touch models, and the structured MQL-to-SAL handoff. For teams running very large campaign volume (10M-plus email sends per month) or deeply technical ABM programs with complex account scoring hierarchies, legacy platforms still offer some advantages that may matter. The team migration decision should look at specific workloads.

How does Strkr handle lead scoring?

Lead scoring runs on configurable rules with transparent components visible on the lead record: demographic fit score (company size, industry, geography, role), behavioral score (page views, content downloads, form submissions), engagement score (email opens, clicks, event attendance), and intent score (specific actions like pricing page visits or demo requests). Marketing ops configures the rule weights; the score components render on the lead record so AEs see the reasoning. Threshold-crossing events trigger routing to sales via Flow automation.

What integrations does the demand gen platform support?

Native integrations include Google Ads and Meta for ad-click attribution, website analytics for behavioral enrichment, email service providers (Resend, SendGrid, SES) for transactional email delivery, calendar systems for meeting booking, and the broader Strkr platform for sales handoff. The open API with webhooks lets marketing ops build custom integrations without vendor involvement. Common custom integrations include data warehouse feeds, specialty event platforms, and vertical-specific lead sources.

What about compliance for demand gen in regulated verticals?

Strkr is HIPAA compliant with BAAs available on request, SOC 2 Type II is in progress with completion targeted for 2026-Q4, and the platform supports GDPR and CCPA. Consent capture, DND tracking, and unsubscribe handling are built in. Marketing teams in healthcare, financial services, and other regulated verticals run demand gen on Strkr with the compliance paper trail the regulators require. The security posture extends across the full lead lifecycle including form capture, nurture content, and attribution data.

How does Strkr handle account-based marketing?

Account-based marketing requires account-level targeting rather than lead-level. Strkr's data model supports account-based campaigns with contact-roll-up for engagement scoring, named-account list management, intent data integration at the account level, and account-level reporting. For teams running ABM alongside broader demand gen, the shared data model means one platform supports both motions rather than requiring a separate ABM platform. For teams running pure ABM at enterprise scale with 500-plus named accounts and sophisticated multi-channel orchestration, specialty ABM platforms may still offer some advantages that warrant evaluation.

What email deliverability measures does Strkr take?

Email sends through integrated email service providers (Resend, SendGrid, SES) rather than through Strkr's own mail infrastructure. This pattern separates deliverability concerns from automation logic. The ESP handles IP warming, authentication (SPF, DKIM, DMARC), suppression lists, and ISP relationships. Strkr handles the content, triggering, personalization, and tracking. The split produces better deliverability than monolithic marketing platforms often achieve because the ESP's core competency is email delivery.

Can we integrate Strkr with webinar platforms and event tools?

Yes. Common integrations include Zoom Webinars, GoToWebinar, and native event platforms with registration data flowing onto lead records and attendance data triggering follow-up flows. For custom event platforms the open API supports webhook-based integration. The pattern handles the common demand gen use case of webinar attendance driving qualified lead flow with specific follow-up by attendance behavior.

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