Built for demand generation marketers

The CRM that ties your paid spend to pipeline without a three-week reconciliation project.

A demand gen marketer runs paid acquisition, content programs, and lifecycle automation. The job is only as credible as the attribution. Strkr ships campaign-to-pipeline attribution, UTM capture on every form, and lifecycle automation that works on day one.

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What this audience is actually dealing with

The pains that bring buyers here.

A demand gen marketer sits between finance (who wants to kill the paid budget), sales (who wants more MQLs) and content (who wants to know what to write next). The pain points below are what Strkr onboarding hears on every demand gen intake call, from the solo marketer at a Series-A startup to the 14-person demand gen team at a 400-person SaaS.

Attribution lives in three systems

The paid platform claims credit, the CRM says the opposite.

The Google Ads dashboard credits itself with 42 percent of pipeline. The LinkedIn Campaign Manager credits itself with 38 percent. The CRM credits inbound organic with 24 percent. The totals add up to 104 percent. Strkr runs single-source attribution with UTM capture on every form fill, campaign ID inherited to the lead and the deal, and the paid platforms visible as reference without authority.

MQL definition drift

The marketing MQL is not the sales MQL.

Marketing counts an MQL as any form fill from a target account. Sales counts an MQL as a form fill from a target account from someone with a VP or above title at a company with revenue over $5 million. The marketing dashboard shows 440 MQLs. The sales accepted leads number is 68. Strkr ties the definition into the lead qualification workflow with explicit MQL criteria the two teams negotiate once.

Lifecycle automation is brittle

Seventeen workflows that break on every schema change.

A marketing automation stack with seventeen workflows (welcome series, product trial nurture, cold reactivation, event follow-up, webinar reminder, high-intent routing) breaks every time the schema changes. The marketer spends a day a week on workflow maintenance. Strkr flow builder exposes workflows as declarative DAGs with built-in schema change detection and a visual repair surface.

Content performance guesswork

Which blog post actually drove pipeline.

A content team ships 11 blog posts per month. Which one drove pipeline is a question most teams cannot answer. Strkr pulls content attribution from the UTM and the first-touch field on the lead, then rolls up to a content performance report that shows pipeline sourced per content asset over the full attribution window.

Nurture copy burnout

Eighteen email variants per campaign exhausts the team.

A full-funnel nurture campaign ships 18 to 24 email variants across the lifecycle. Writing each in the brand voice eats a demand gen marketer or a content writer for a week per campaign. Strkr AI drafts in the brand voice (learned from the first 20 approved emails) which drops the writing time per campaign from a week to a day.

CFO review burns reporting time

The monthly deck takes three days to build.

A demand gen marketer spends two to three days per month building the CFO review deck: paid channel spend, cost per MQL, pipeline sourced, pipeline influenced, cost per opportunity, pipeline velocity. Strkr ships the demand gen reporting view as a default on Pro and Scale with the exact charts the CFO wants, which drops the monthly reporting prep from three days to two hours.

The demand gen workspace

What the home screen surfaces on Monday.

A demand gen marketer home screen does not need the pipeline board or the CSM renewal queue. It needs campaign performance, lifecycle automation health, content attribution, and the week-over-week change on cost per MQL. Strkr ships a demand gen role template with the home screen configured.

Campaign performance

Active campaigns with cost per MQL and pipeline sourced.

The top of the home screen shows active paid campaigns with spend, MQLs sourced, cost per MQL, pipeline sourced, and pipeline velocity against the comparable prior period. The marketer catches the underperforming campaign in week two instead of week six.

Lifecycle automation health

Workflows running, broken, or paused.

A workflow health panel shows every live workflow with running state, trigger volume, send rate, and error log. A workflow that silently stopped firing shows up as paused with the failure point called out. The marketer repairs in two minutes instead of discovering the gap three weeks later.

Content attribution

Pipeline sourced per content asset.

A content attribution panel shows the top content assets by pipeline sourced over the trailing 90 days with the attribution split (first touch, multi touch, last touch). The content team can commission the next piece grounded in which patterns actually drive pipeline.

MQL to SQL conversion

Weekly conversion with sales acceptance rate.

The MQL to SQL conversion panel shows the weekly conversion rate from marketing qualified to sales accepted with the rejection reasons broken out. A rising rejection rate on title mismatch is a signal the marketer can act on at the targeting layer.

Pipeline velocity by source

How fast does paid versus organic move through stages.

The pipeline velocity by source panel shows the median stage time per source. Paid traffic that moves through Qualify in 11 days while organic moves through in 24 days is a signal the paid traffic is pre-qualified. The marketer can lean into paid for high-urgency campaigns.

CFO review draft

The monthly deck pre-populated.

The CFO review draft generates the monthly reporting deck with paid spend, cost per MQL by channel, pipeline sourced, pipeline influenced, cost per opportunity, and the comparable prior period. The marketer reviews, adds two paragraphs of commentary, and presents.

Strkr AI jobs for demand gen

The AI drafts that save a demand gen marketer a day a week.

Strkr AI runs the first draft on every repetitive demand gen write motion. The marketer reviews and edits. Across 180 demand gen deployments the time saved averages seven to nine hours per week per marketer, which translates to one more campaign per month or three more content pieces per quarter.

Nurture email draft

The 18-variant campaign in a day instead of a week.

Strkr AI drafts nurture emails in the brand voice learned from the first 20 approved emails. The marketer provides the campaign brief (audience, hook, call to action) and Strkr AI generates the 18 variants in draft. The marketer reviews and tunes two or three per variant. A full-funnel nurture ships in a day instead of a week.

Ad copy variants

Twelve LinkedIn or Google variants with intent framing.

Strkr AI drafts ad copy variants for LinkedIn or Google Ads with the intent framing tuned per audience segment. The marketer picks the top three or four to ship as the test cell. The acceptance rate of Strkr AI drafted ad copy among the drafts the marketer actually ships runs 42 percent, which beats the 24 percent from a human-only draft cycle.

Webinar landing page copy

Hero headline, bullet points, speaker bios.

Strkr AI drafts the webinar landing page copy with hero headline, bullet points on what attendees will learn, and speaker bio copy from the LinkedIn URLs. The marketer edits two sentences on average and ships the page. The landing page conversion rate on Strkr AI drafted copy sits in the 24 to 32 percent range for inbound webinars.

Event follow-up sequence

The post-event triage with intent segmentation.

After a trade show or conference Strkr AI drafts the post-event follow-up sequence segmented by booth interaction depth (badge scan, booth conversation, deep dive demo). The marketer reviews and sends. Response rates on event follow-ups land 34 to 48 percent higher than a generic follow-up, which drives measurable pipeline per event.

Monthly commentary draft

The CFO review paragraph on what changed.

Strkr AI drafts the monthly commentary paragraph covering what changed in the paid channel mix, which campaigns outperformed, which content pieces drove the pipeline, and the recommended spend reallocation for the next month. The marketer reviews and tunes before presenting.

Campaign post-mortem

What ran well, what ran stuck, what to change.

After a campaign closes Strkr AI drafts the post-mortem covering performance versus plan, learnings on audience targeting, learnings on creative, and recommendations for the next similar campaign. The marketer presents the post-mortem to the demand gen team and the content team for shared learning.

How Strkr handles lifecycle automation

The flow builder that does not break on every schema change.

Lifecycle automation is where most marketing stacks accumulate technical debt. Strkr flow builder exposes workflows as declarative DAGs with triggers, conditions, actions, waits, and branches. The visual repair surface makes schema change recovery two minutes instead of two hours.

Visual DAG

Workflows as a canvas, not a flat list.

Every workflow lives on a visual canvas with triggers on the left, conditions and actions in the middle, and branch outcomes on the right. The marketer can see the full logic without opening a code editor or reading a config file. New team members can learn an existing workflow in 10 minutes.

Trigger library

Form fill, lifecycle change, score threshold, custom event.

The trigger library covers form fills, lifecycle stage changes, score threshold crossings, custom events from the webhook spec, scheduled runs, and record creation. The marketer picks the trigger and configures the condition surface without writing a line of code.

Action library

140-plus actions across CRUD, email, SMS, Slack.

The action library covers CRUD operations on every record type, email sends through the connected provider, Strkr Messaging SMS and MMS sends, Slack notifications, Teams channel posts, webhook calls, waits (duration, condition, approval), and branch logic. The marketer composes the workflow from the library without writing code.

Approval blocks

Human in the loop for high-stakes sends.

A workflow can include an approval block that pauses the flow and routes to an approver with a configurable timeout. The approver reviews the draft (an email, a routing decision) and approves or rejects. The flow resumes down the approved path or the rejected path. Common for executive-targeted sends or compliance-sensitive messages.

Error log and repair surface

What broke and how to fix it.

Every workflow run logs to an error log with the failure point (missing field, invalid data, API timeout, external service unavailable). The repair surface shows the broken step with the error and a one-click repair where possible. Workflow debugging drops from two hours to two minutes.

Schema change detection

Workflows that reference missing fields flag.

When the admin changes the schema (renames a field, deletes a field, retypes a value) Strkr scans every workflow for references to the changed field and flags the affected workflows. The marketer can see the flow steps that need adjustment and fix them before the next scheduled run.

Head-to-head

Strkr demand gen vs HubSpot Marketing Hub or Marketo.

Most demand gen marketers evaluate Strkr against HubSpot Marketing Hub or Marketo. The comparison below is Strkr demand gen posture versus the typical workflow in those tools.

Feature Strkr HubSpot Marketing Hub or Marketo
UTM capture on every form Automatic with campaign ID inheritance. Automatic with campaign ID inheritance.
Pipeline attribution Single-source with first and multi touch. Multi touch with price gate.
Lifecycle automation builder Visual DAG with 140-plus actions. Visual flow with gated actions.
AI nurture drafting Strkr AI learns the brand voice. Breeze credits with meter.
CFO review deck Default dashboard with monthly draft. Custom build.
Content attribution report Default with trailing-90 split. Enterprise plan typical gate.
Workflow schema change detection Automatic with flag. Manual audit.
Cost per MQL by channel Default report. Enterprise plan typical gate.
Pricing posture $59 per seat flat on Pro. Contact-based pricing with escalator.
How teams use Strkr

Five demand gen playbooks that ship on Strkr.

The playbooks below are what Strkr onboarding sees across demand-gen-centric deployments.

Pattern A

The solo demand gen marketer at a Series-A startup.

A solo demand gen marketer at a Series-A SaaS startup ran paid LinkedIn, paid Google, a weekly blog, and a monthly webinar. The attribution lived in three dashboards and nobody trusted the number. Strkr onboarding ran a 11-business-day migration consolidating attribution onto Strkr with UTM inheritance on every form. The marketer reclaimed about eight hours a week and cost per MQL dropped 32 percent inside the first quarter from paid reallocation grounded in the clean attribution.

Pattern B

The four-person demand gen team at a 180-person SaaS.

A four-person demand gen team at a 180-person SaaS vendor ran HubSpot Marketing Hub Enterprise with Breeze credits that burned past the floor every month. The marketing team loved the UI. Finance did not love the invoice. Strkr onboarding ran a 22-business-day migration with the attribution model preserved and the lifecycle workflows migrated to Strkr flow builder. The monthly spend dropped 48 percent. The team shipped 14 campaigns per quarter versus the prior nine.

Pattern C

The 14-person demand gen team at a 400-person SaaS.

A 14-person demand gen team at a 400-person SaaS vendor ran Marketo for lifecycle automation, a separate attribution tool, and a separate landing page builder. Strkr onboarding ran a 32-business-day migration consolidating three tools onto Strkr with the lifecycle workflows rebuilt in Strkr flow builder. The platform cost dropped 54 percent. Workflow maintenance time dropped from four hours per week to under an hour.

Pattern D

The content attribution clean-up at a 90-person SaaS.

A 90-person SaaS vendor ran a content team of three writing 14 blog posts per month. Nobody could answer which posts drove pipeline. Strkr onboarding configured content attribution with UTM parameters on every blog link, campaign ID inheritance on form fills, and the trailing-90 attribution report. The content team learned that three post types drove 72 percent of pipeline. The content strategy shifted and pipeline sourced from content grew 42 percent inside two quarters.

Pattern E

The post-event nurture at a 240-person SaaS.

A 240-person SaaS vendor ran five large trade shows per year with 400 to 1,100 badge scans per event. The post-event nurture was a generic send that landed with 12 to 18 percent open rates. Strkr onboarding configured segmented post-event nurture with Strkr AI drafted sequences per interaction depth. Open rates climbed to 34 to 44 percent. Pipeline sourced from trade show follow-up grew 68 percent in the first full year.

Run your demand gen on a CRM that respects the attribution.

Book a 30 minute call. We will walk through the attribution model, the lifecycle automation builder, and the CFO review flow with your actual channel mix and your actual MQL definition.

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Common questions

What buyers in this bucket ask most.

How does Strkr handle attribution across paid, organic, content, and event sources?

Strkr captures UTM parameters on every form fill with campaign ID, source, medium, content, and term. The campaign ID inherits to the lead and the deal records. The attribution report shows first touch, multi touch, and last touch per deal with the trailing-attribution window (default 90 days, tunable). The paid platform dashboards (Google Ads, LinkedIn Campaign Manager) remain available as reference but do not override the Strkr source of truth. For teams running Bizible or Dreamdata the Strkr data exports cleanly as the system of record.

Does Strkr integrate with the paid platforms directly for cost pulls?

Yes. Strkr pulls spend from Google Ads, LinkedIn Campaign Manager, Meta Ads Manager, and Microsoft Ads through standard OAuth connectors. The spend data lands on the campaign record alongside the pipeline attribution, which lets the cost per MQL and cost per opportunity reports run without a reconciliation project. For paid platforms not covered by native connectors the standard webhook spec with HMAC signing lets the marketer wire the spend data in an engineering sprint of a few hours.

How does the lifecycle automation builder compare to HubSpot workflows or Marketo smart campaigns?

Strkr flow builder is a visual DAG with triggers, conditions, actions, waits, and branches. The capability covers 140-plus actions across CRUD operations, email, Strkr Messaging SMS and MMS, Slack, Teams, webhooks, and approval blocks. The repair surface and schema change detection are specific to Strkr and reduce workflow maintenance time significantly compared to HubSpot or Marketo. The learning curve on Strkr flow builder is typically two to four hours for a marketer coming off either platform.

Can Strkr AI write nurture copy in our brand voice?

Yes. Strkr AI learns the brand voice from the first 20 approved emails and applies the voice to subsequent drafts. The marketer provides the campaign brief (audience, hook, call to action) and Strkr AI generates the full nurture variant set in draft. The marketer reviews and tunes. Across 180 demand gen deployments the acceptance rate of Strkr AI drafted copy among drafts the marketer actually ships runs 42 to 58 percent, which beats the 24 percent benchmark from unassisted writing cycles.

What does Strkr cost compared to HubSpot Marketing Hub or Marketo?

Strkr Pro runs $59 per seat per month flat. For a four-person demand gen team that is $236 per month. The AI Enhancement module adds $49 per month with 5,000 Strkr AI calls included. For a four-person team with AI the full monthly spend sits at $285. HubSpot Marketing Hub Professional runs $890 per month for the first five seats and climbs. Marketo pricing varies by contract and typically starts at $25,000 to $40,000 per year on the Growth plan. Over three years the Strkr cost difference for a mid-market demand gen team usually runs $120,000 to $240,000.

How does Strkr handle MQL to SQL conversion and the sales handoff?

Strkr ties the MQL definition into the lead qualification workflow with explicit criteria the two teams negotiate once (title filter, company revenue, segment, intent signal). A lead that meets the criteria auto-promotes to MQL. The MQL routes to the assigned SDR with the Strkr AI drafted first touch email. The SDR either accepts the MQL (converts to SQL) or rejects with a reason. The rejection reasons roll into the weekly conversion report, which lets marketing see the signal to tune targeting.

Can Strkr handle the account-based marketing motion for enterprise demand gen?

Yes. Strkr ships target account lists, account-level engagement scoring, and account-level routing to the assigned AE and SDR pair. The engagement score aggregates all contacts at the target account (website visits, content downloads, email engagement, event attendance) into a single account score. A score threshold crossing triggers the account routing workflow with Strkr AI drafted first-touch sequences for the AE and the SDR. For teams running 6sense or Demandbase as the intent data source the integration lands through the webhook spec.

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Related audiences.

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