Built for teams running compounding email automation
A CRM where every nurture, trigger, and lifecycle email runs on the same record as the opportunity.
Email automation lives in a dedicated marketing-automation tool (Marketo, HubSpot Marketing Hub, Mailchimp, Customer.io) for most teams. The sales CRM lives somewhere else. The result is a double-system of record and nurture sequences that lose the sales context. Strkr ships nurture, triggers, lifecycle, and re-engagement natively.
Email automation is the engine that keeps dormant leads warm, converts late-stage prospects, onboards new customers, and re-engages lapsed accounts. The patterns below are the gaps that show up when email automation lives outside the CRM.
The two-system handoff
A nurture sequence does not know the lead opened an opportunity.
A nurture sequence in Marketo keeps emailing a lead after they entered the sales pipeline because the sync lag between tools is 15 to 60 minutes. The sales rep opens a demo call to find the prospect received two more nurture emails since they booked. Strkr nurture pauses the moment a deal moves to opportunity stage because the trigger lives on the same database.
Lifecycle emails fire on stale data
Trial-expiration email sent after the deal closed.
A lifecycle automation fires a trial-expiration email three hours after the deal closed because the data sync between the billing system and the marketing automation tool had not refreshed. Strkr lifecycle emails fire on the live CRM state so the sequence respects stage transitions in real time.
Re-engagement is a manual list
The marketing team pulls a CSV every quarter.
Re-engagement campaigns typically run quarterly from a manually-pulled CSV of lapsed contacts. The pattern misses the signal of a lapsed contact revisiting the website or opening an old email. Strkr re-engagement runs continuously on behavior triggers (website visit, email open after 90 days of silence, inbound referral) so timing matches the actual re-engagement signal.
Onboarding sequences stop short
The closed-won email is the last automation touch.
Closed-won fires a welcome email and the automation goes silent. The CSM manually drives the first 30 days of onboarding. Strkr ships an onboarding sequence template that fires through the first 30, 60, and 90 days with configurable touchpoints (feature introductions, usage check-ins, QBR prep). The CSM owns the exception path; the sequence covers the default path.
Trigger logic is single-field
The automation fires on one field, misses the real event.
Most CRM-native automation triggers on a single field change (stage changed, status changed, record created). Multi-field conditional triggers require combining tools. Strkr trigger logic supports composite conditions (fire when A AND B, fire when A OR not-B, fire when A and B in trailing 7 days) in the native trigger builder so the automation shape matches the business logic.
Reporting is split
Marketing attributes closed-won to the wrong touch.
Marketing-automation reporting shows email engagement; CRM reporting shows pipeline. Attributing closed-won revenue to the nurture email that influenced the deal requires manual reconciliation across the two tools. Strkr reports touch-to-close attribution natively because the email and the pipeline live in the same database.
The email automation primitives
What ships natively as part of Strkr Flows plus email.
Strkr email automation is a combination of Strkr Flows (the native automation engine) and the native email surface. The cards below are the primitives available on every paid tier for building compounding email automation across the lifecycle.
Nurture sequence builder
Multi-step email across days or weeks.
The nurture sequence builder chains email steps across configurable intervals. Each step can include dynamic content, variable substitution, and conditional branching. The builder is a visual flow surface rather than a scripting tool. Templates ship for common patterns (educational nurture, trial-conversion nurture, post-demo nurture, closed-lost re-engagement).
Trigger engine
Event, time, and composite condition triggers.
Triggers fire on events (contact created, deal stage changed, form submission, website visit), time (scheduled send, N days after event, specific calendar date), and composite conditions (fire when A and B both true in trailing 7 days, fire when A happens but not B). The trigger engine is the pattern that separates basic email tools from true automation platforms.
Lifecycle sequences
MQL to SQL to opportunity to customer touches.
Lifecycle sequences cover the full lead-to-customer journey: MQL welcome, SQL qualification, opportunity nurture, closed-won onboarding, customer success touches, expansion signals, renewal reminders. Each stage carries its own automation and the stage transitions trigger the next sequence. The sequences respect the sales-team workflow so a rep manually advancing a stage still fires the right automation.
Re-engagement automation
Continuous re-engagement on behavior triggers.
Re-engagement runs continuously on behavior triggers rather than quarterly batches: website visit after 90 days of silence, email open after a lapsed period, inbound referral from an old contact. The sequence sends targeted re-engagement content based on the trigger. The pattern catches re-engagement signals at the moment they arise.
Reply-based pausing
Prospect reply pauses the sequence immediately.
When a prospect replies to any sequence email, the sequence auto-pauses so the rep handles the reply manually. The pause avoids the common failure where the next scheduled email fires after the prospect has already engaged, which reads awkwardly out of context. Pause rules are configurable per sequence.
A/B testing
Subject, body, and send-time variants.
Each sequence step can run A/B testing on subject line, body content, and send time. The engine runs the variants on configurable splits (50/50, 25/25/25/25) and reports open, reply, and conversion rates per variant. Winning variants can promote automatically after reaching statistical significance.
Dynamic content blocks
Per-recipient content based on segment or data.
Dynamic content blocks swap content based on the recipient's segment, industry, role, or any field value. One email template serves multiple audiences with the right content for each. The pattern reduces template proliferation while maintaining personalization quality.
Strkr AI drafting
AI drafts the sequence content from the brief.
Strkr AI drafts sequence content from a brief: campaign goal, target audience, desired tone, call-to-action. The admin reviews the draft, edits, and ships. Strkr AI handles complexity routing automatically so the predictable 49 dollar per month AI Enhancement module covers the daily drafting pattern with 5,000 Strkr AI calls included. The pattern cuts sequence creation time from hours to minutes.
Deliverability monitoring
Bounce rate, spam flag rate, inbox placement per sequence.
The deliverability dashboard reports per-sequence bounce rate, spam flag rate, and inbox placement. Sequences trending toward deliverability degradation surface for admin review before they damage sender reputation workspace-wide. The pattern catches deliverability issues before they become outages.
The lifecycle motion
A full lead-to-customer email automation sequence.
The lifecycle motion covers the full journey from first touch to customer expansion. Below is the sequence a mid-market SaaS team runs on Strkr for inbound leads. Each stage is a configurable template that admins tune to their motion.
Day 0: Welcome
Form submission fires immediate welcome.
A form submission on the pricing page fires an immediate welcome email with a personal note from the rep assigned to the account. The email includes a calendar-booking link, the primary case study for the segment, and the first educational asset. Open rate on this touch runs 72 percent (above baseline because the recipient literally just submitted the form).
Day 1: Context
Educational content matched to inferred use case.
Day 1 fires an email with educational content matched to the inferred use case. Strkr AI selects the content based on form answers, firmographic enrichment, and website browsing history. The pattern is more precise than static segmented sequences because the content selection runs per-recipient.
Day 3: Social proof
Case study from a similar customer.
Day 3 fires a case study from a customer in the same industry or similar company size. The dynamic content block selects the right case study per recipient. Click-through rate on this touch runs 18 percent against the case study CTA.
Day 7: Direct ask
The rep sends a personal booking request.
Day 7 fires a direct email from the rep (sent through the rep's Gmail or Microsoft 365 for deliverability inheritance) asking for a 20-minute call. The ask is personal, references the recipient's inferred use case, and includes the booking link. Conversion to meeting booked runs 8 to 12 percent at this step.
Day 14: Objection handling
Common objection surfaced and answered.
Day 14 fires an email addressing the top objection for the segment (price, implementation time, feature coverage). Strkr AI drafts the objection content per recipient. The pattern pre-empts the objection before the sales call rather than discovering it mid-conversation.
Day 30: Opportunity transition
Sequence pauses when the deal advances to opportunity.
If the lead has advanced to opportunity stage, the nurture sequence pauses and the sales rep takes over. If still in MQL, the sequence continues with longer-interval touches (every 2 to 4 weeks). The transition is the critical hand-off that most two-system setups mishandle; Strkr handles it on the same database.
Day 90: Lapse re-engagement
Lapsed lead re-engagement fires on specific signals.
If no engagement for 90 days, the lead enters re-engagement where touches fire only on behavior signals (website visit, email open, LinkedIn interaction) rather than on a time schedule. The pattern avoids the dead-nurture pattern where a lapsed lead receives weekly emails they ignore.
Closed-won: Onboarding kickoff
Day 1 of customer life fires the onboarding sequence.
Closed-won fires the onboarding sequence: Day 1 welcome and setup checklist, Day 7 kickoff meeting confirmation, Day 14 feature introduction, Day 30 success check-in, Day 60 QBR prep, Day 90 expansion signal check. The CSM owns the exception path; the sequence covers the default success motion.
Renewal: 90 days out
Renewal preparation sequence fires 90 days pre-renewal.
Ninety days before the renewal date, a sequence fires: renewal preparation, usage review, expansion-opportunity exploration, renewal-logistics confirmation. The sequence respects any open support cases (if critical issues are open, the sequence pauses pending resolution). The pattern replaces the manual renewal-tracking spreadsheet.
The compliance and deliverability surface
Keeping high-volume email automation defensible and delivered.
Email automation at scale carries real compliance requirements (CAN-SPAM, CASL, GDPR, PECR) and real deliverability risks. The cards below are the admin controls that keep the automation defensible and the sends landing in the inbox.
Unsubscribe handling
Compliant unsubscribe link on every send.
Every automated send carries a compliant unsubscribe link in the footer. Clicks register as unsubscribes immediately workspace-wide. Future sends from any rep or sequence automatically skip unsubscribed contacts. The audit log captures every unsubscribe. The pattern satisfies CAN-SPAM, CASL, PECR, and GDPR requirements for marketing communications.
Consent tracking
Source of consent captured per contact.
For GDPR-compliant markets, consent capture tracks the source of consent per contact (form submission, double opt-in, imported from source X with claimed consent). The audit log captures the consent event with timestamp. For data-subject-access or deletion requests, the consent history is retrievable per contact.
Suppression lists
Hard bounces, spam complaints, manual suppressions.
Suppression lists cover hard bounces (undeliverable addresses), spam complaints (reported to ESPs), and manual admin-added suppressions. Future sends automatically skip suppressed addresses. The pattern protects sender reputation and prevents the degradation pattern where a tenant's domain gets flagged after enough bounces.
Dedicated send domain
Marketing-send domain isolated from sales inbox.
For high-volume automation (over a few hundred recipients per campaign), Strkr routes through a dedicated marketing-send domain. The dedicated domain requires DNS configuration (SPF, DKIM, DMARC alignment) handled through the admin console. The pattern isolates sales inbox reputation from marketing-volume effects.
Deliverability dashboard
Inbox placement rate, spam rate, delivery time.
The deliverability dashboard shows inbox placement rate (percent landing in primary inbox vs. promotions tab vs. spam), spam complaint rate, average delivery time, and reputation score per sending domain. The dashboard surfaces degradation trends before they become outages. The admin runs the dashboard as the primary health check.
Throttling
Per-rep and per-domain send-rate limits.
The admin configures throttling: per-rep hourly and daily limits, per-domain daily limits, per-sequence delivery pacing. Throttling protects sender reputation during high-volume sends. The pattern is especially important for teams running cold outbound where unthrottled sends trigger spam flagging across the workspace.
Head-to-head
Strkr vs HubSpot Marketing Hub for email automation specifically.
HubSpot Marketing Hub is the most-asked-about comparison for mid-market email automation. Here is the head-to-head on dimensions that matter for teams running nurture, lifecycle, and re-engagement automation.
Feature
Strkr
HubSpot Marketing Hub Pro
Nurture sequence builder
Visual flow with branching, included on every paid tier
Workflows, included on Marketing Hub Pro
Trigger engine
Composite conditions native
Workflow triggers, limited composite logic
Lifecycle sequences
MQL to customer to renewal native templates
Marketing Hub plus Sales Hub plus Service Hub for full coverage
Re-engagement on behavior
Continuous behavior-trigger automation
Workflows with behavior triggers in Marketing Hub Pro
A/B testing
Subject, body, send-time variants
Marketing Hub Enterprise
Dynamic content
Per-recipient segment-based blocks
Smart content in Marketing Hub Pro
AI drafting
Strkr AI on flat per-seat tier
Breeze credits metered past floor
Deliverability dashboard
Inbox placement, spam rate, reputation per domain
Deliverability reports in Marketing Hub
CRM pipeline integration
One database, trigger on live state
Sync between Marketing Hub and Sales Hub
Pricing basis
Flat per-seat, no contact-tier scaling
Scales with marketing contacts tier
How teams use Strkr
How automation-heavy teams run Strkr today.
The patterns below are motions live on customer accounts right now. The common thread: teams that unified email automation with the sales CRM saw measurable lift on both nurture conversion and attribution clarity.
A 42-rep SaaS team runs the full lifecycle automation suite (MQL welcome, SQL qualification, opportunity nurture, closed-won onboarding, customer touches, renewal preparation). Pre-Strkr the lifecycle ran across HubSpot Marketing Hub plus Pardot plus the sales CRM, with ragged syncs between. The unified automation on Strkr lifted nurture-to-opportunity conversion by 24 percent in two quarters. The marketing director attributed the lift to tighter triggering (fire on live CRM state instead of 15-minute-stale sync) and reply-based pausing (no awkward follow-ups after a prospect engaged).
18-rep agency, client-onboarding automation
Onboarding handoff time dropped from 2 hours to 15 minutes per deal.
An 18-rep agency runs onboarding automation on closed-won deals: welcome sequence, kickoff meeting booking, SOW confirmation, first-deliverable intake form. Pre-Strkr the onboarding handoff was a 2-hour manual effort per deal. The automation runs it in 15 minutes of manager review time. The agency can take on roughly 30 percent more clients per month without hiring an additional account manager.
60-rep mid-market, re-engagement motion
Lapsed-lead reactivation generated 18 opportunities in Q3.
A 60-rep mid-market team runs continuous re-engagement on lapsed leads (90+ days silent). Website visit after lapse, specific content download, or inbound referral triggers a tailored re-engagement sequence. In Q3 the re-engagement motion generated 18 opportunities worth 2.4M USD in pipeline, which would have been missed under the quarterly-batch re-engagement pattern.
A 24-advisor wealth firm runs client-communication automation off a compliance-approved template library. Advisors trigger sends from pre-approved templates; the compliance officer approves template-library updates quarterly. The pattern replaced ad-hoc rep-written client emails (which required per-email compliance review) with a template-based motion that maintains personalization while keeping compliance review manageable.
12-rep SMB, trial-to-paid automation
Trial-to-paid conversion climbed from 14 to 22 percent.
A 12-rep SMB SaaS runs a trial-to-paid automation sequence: Day 1 welcome and setup checklist, Day 3 feature introduction, Day 7 use-case nudge, Day 10 pricing walkthrough, Day 13 last-day reminder, Day 14 trial end. The sequence uses dynamic content based on trial-usage telemetry (which features used, which not). Trial-to-paid conversion climbed from 14 to 22 percent over two quarters.
A CRM where email automation runs on the same record as the pipeline.
Start a 14-day trial with nurture sequences, lifecycle automation, re-engagement, Strkr AI drafting, A/B testing, and deliverability monitoring included on every paid tier.
Can Strkr replace Marketo or HubSpot Marketing Hub for the marketing-automation layer?
For mid-market email automation (nurture sequences, lifecycle automation, re-engagement, trial-to-paid, onboarding sequences, A/B testing, dynamic content, deliverability monitoring), Strkr replaces Marketo and HubSpot Marketing Hub cleanly. For enterprise-scale specialty depth (massive-scale lead-scoring models across millions of events, deep ABM-platform integration with 6sense or Demandbase at the enterprise contract tier, specific analytics workflows that enterprise marketing-ops teams have built out, specialized industry-vertical marketing-automation surfaces), Marketo and HubSpot Marketing Hub Enterprise still carry more depth. Teams that evaluate both typically find Strkr covers 85 percent of the use case at a fraction of the cost; the 15 percent that needs specialty depth either keeps the specialty tool via webhook or standardizes on Strkr with the trade-off noted.
How does the trigger engine handle multi-field composite conditions?
The trigger engine supports composite conditions through a visual builder. Example triggers in production: fire when (lead score greater than 70) AND (industry is SaaS) AND (last email open in trailing 14 days); fire when (contact submitted form) OR (contact visited pricing page) in last 7 days; fire when (deal stage changed to opportunity) but NOT (contact unsubscribed in trailing 30 days). The builder reads as a filter tree with AND, OR, and NOT nodes. For logic that genuinely exceeds the visual surface, a code node accepts sandboxed JavaScript. The combined surface covers the common composite-trigger patterns without requiring code for 95 percent of use cases.
What happens to a nurture sequence when the prospect becomes a customer?
Stage-transition triggers pause or redirect the sequence automatically. The default behavior on closed-won: pause the nurture sequence, fire the onboarding sequence. The default behavior on opportunity-stage advancement: pause the top-of-funnel nurture (since the sales rep is now actively engaged), optionally start a late-stage reinforcement sequence. The default behavior on closed-lost: pause the sequence, add to re-engagement pool with a cooldown period. All transitions are configurable per sequence. The on-same-database architecture means these transitions fire within seconds, not with sync lag.
How does Strkr handle GDPR and PECR consent for email automation?
For GDPR and PECR-compliant markets, consent capture tracks the source of consent per contact (form submission with checkbox, double opt-in, imported from source X with claimed consent chain). The audit log captures the consent event with timestamp. Automated sends check for valid consent before firing; contacts without consent are suppressed from the send even if they match the trigger. For data-subject-access requests, the consent history is retrievable per contact. For deletion requests, the consent record and all contact data can be deleted deterministically. The posture is published in the compliance documentation for procurement review and has passed GDPR audits with several EU-based customers.
What is the deliverability posture for high-volume automated sends?
Strkr routes high-volume automated sends (over a few hundred recipients per campaign) through a dedicated marketing-send domain configured per tenant with SPF, DKIM, DMARC alignment. The dedicated domain isolates marketing-send reputation from the sales rep's inbox reputation. Throttling respects per-domain daily send limits. Hard bounces and spam complaints trigger automatic suppression. The deliverability dashboard surfaces inbox placement rate, spam rate, and reputation score per domain. Well-configured tenants typically see inbox placement rates in the 92 to 96 percent range, which is comparable to best-in-class standalone marketing-automation platforms. For teams with specific deliverability concerns, we offer a deliverability audit during trial.
How does the AI drafting cost math work for high-volume automation?
Strkr AI handles complexity routing automatically so simple template-variable substitution, sequence-content drafting, and long-form personalized drafting do not pay the same cost per call. The AI Enhancement module is 49 dollars per month flat with 5,000 Strkr AI calls included and 0.012 per call after that. A team running 10,000 automated emails per month with AI drafting on each sees the exact overage line on the Stripe invoice rather than a mystery credit meter; the equivalent HubSpot Breeze credit allocation or Salesforce Agentforce credit allocation at that volume would run thousands of dollars per month. The pricing posture reflects the thesis that AI should run on every email that benefits from it, with visible economics rather than a sampled subset constrained by credit budget.
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