Feature · Email Marketing Automation

Email marketing automation that writes to your pipeline.

Not a marketing cloud with a sync to your CRM. Strkr sends the email, measures the response, moves the lead score, and routes to the right rep in one tenant. Attribution writes to the pipeline automatically, no manual tagging.

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What email marketing automation means here

The automation sends the email, the CRM sees the response.

Email marketing automation usually lives in a separate tool: the marketing cloud sends, the CRM syncs the response in a nightly batch, the rep sees the engagement 24 hours later. Strkr's email marketing lives in the same tenant as the deals, so a reply hits the deal timeline immediately, a link click moves the lead score in real time, and the rep sees the signal while it still matters.

Native send

Strkr sends the email, no marketing-cloud bridge.

Email dispatch runs through Strkr's native sending infrastructure with dedicated IP options for high-volume sends and transparent reputation reporting. Open and click events write to the contact timeline the moment they fire, not after a nightly sync.

Journey builder

Multi-step campaigns with branching logic.

Build a nurture journey as a canvas: enroll contacts on a trigger (form submit, segment entry, specific action), route through conditional branches (replied yes vs no, clicked link vs not), fire actions (send next email, assign to SDR, enroll in SMS, create task). The journey canvas uses the same shape as Flows for consistency.

Strkr AI drafts

First-draft emails in the rep's voice.

Open the campaign editor and click Draft with AI. Strkr AI reads the campaign brief, the target segment, and the sender's past tone, then produces a first-draft email. The marketer edits in the native editor and sends in a fraction of the time of a blank-page start.

Pipeline attribution

Campaigns tie to the deals they influence.

When a lead that received a campaign subsequently becomes a deal, the campaign is tagged as influencing that deal. The campaign's performance view shows deals influenced, pipeline amount, closed-won amount, ROI. The classic "which campaign actually produced revenue" question has a surface, not a weekly reconstruction.

Deliverability guardrails

The product protects your sender reputation.

Automatic bounce handling, suppression list management, unsubscribe hygiene, DKIM and SPF setup prompts, and warmup scheduling for new sending domains. The deliverability work most teams outsource to a dedicated vendor is built into the product shape.

Included

Email marketing ships on Pro.

The journey builder, the AI drafts, the attribution, the deliverability features all ship on Pro with no marketing-tier upsell. Volume caps based on contact count rather than send count. See /pricing for the shape; no per-send metering or AI unlock SKU.

Journeys teams actually run

The patterns that produce measurable pipeline.

Email marketing automation marketing covers generic drip campaigns. The specific journeys that produce measurable pipeline impact for a mid-market revenue team are a short list. These are the patterns we see turned on first in production tenants, each shipping as a starter template a marketing ops lead can enable in minutes.

Lead nurture

Form submit to MQL in 14 days.

Enrolled on form submit. Day 1: welcome email with a top-funnel asset. Day 4: case study aligned to the lead's segment. Day 7: comparison guide. Day 11: webinar invite. Day 14: SDR outreach with context on which assets were opened. Lead score tracks engagement; MQL threshold hands off to sales.

Trial activation

Signup to active user in 7 days.

Enrolled on trial signup. Day 0: welcome with quickstart. Day 1: product-walkthrough email with videos. Day 3: use-case email based on signup intent. Day 5: feature spotlight. Day 7: "schedule a demo" if not activated, "advance to paid" if activated. Branches by engagement signal, not calendar day.

Re-engagement

The dormant-list revival.

Enrolled when a contact has not engaged in 90 days. Day 0: subject-line-strong "we miss you" email with a soft asset. Day 7: "last chance to stay subscribed" with a value prop. Day 14: unsubscribe or demote to lower-cadence list. Clean list, intact deliverability.

Event follow-up

Conference booth to pipeline.

Enrolled when a contact is tagged with an event source. Day 0: thank-you with the asset promised at the booth. Day 2: targeted follow-up based on the conversation note the AE captured. Day 5: scheduling link if no reply. Day 10: SDR direct outreach. Converts booth scans to pipeline rather than letting them die in the CRM.

Renewal cadence

90 / 60 / 30 days before renewal.

Enrolled 90 days before contract renewal. Day 0 (T-90): proactive value email with usage recap. Day 30 (T-60): QBR scheduling nudge. Day 60 (T-30): formal renewal paperwork with the CSM. The classic last-minute renewal scramble happens 90 days in advance instead.

Churn save motion

Account health drops, campaign fires.

Enrolled when account health drops below threshold. Day 0: value-reinforcement email with usage data. Day 3: executive-exec check-in offer. Day 7: discount or renewal-term flexibility if still at risk. Fires alongside CSM save motion in Projects, not instead of it.

AI in the journey

Strkr AI as a step inside email automation.

Email marketing automation benefits from AI in the specific places where human effort compounds: drafting, personalization, timing, segmentation. Strkr AI shows up as a step inside the journey builder and the campaign editor, available for the useful jobs without a separate AI-marketing SKU.

Draft first version

Campaign brief to email in 30 seconds.

In the campaign editor, write a brief (what the email should accomplish, who the audience is, what the CTA is). Strkr AI produces a first-draft subject line, preheader, body copy, and CTA. The marketer edits for voice and sends. Composition time drops from an hour to five minutes.

Subject-line variants

A/B/C tests generated and tracked.

Click Generate Variants and Strkr AI produces three subject-line options tuned for different hooks (curiosity, benefit, specificity). The journey ships all three as a split test, measures open rate, and promotes the winner. Automated A/B testing without a separate testing tool.

Personalization tokens

AI-written variable sections per contact.

Beyond "Hi {first_name}", Strkr AI generates per-contact personalization: a one-sentence intro referencing the contact's role, a middle paragraph aligned to their industry, a CTA phrased for their stage in the funnel. The personalization that typically requires manual segmentation happens automatically.

Send-time optimization

The AI picks the right hour per contact.

Strkr AI learns each contact's historical open patterns and schedules the send at the hour most likely to produce an open. The marketer configures the journey as "send on day 3"; the AI decides "day 3 at 10:14am local for this contact, 2:47pm for that one."

Segment generation

Describe the audience in plain English.

Type "accounts in financial services with more than 100 employees that have opened a product email in the last 30 days" and Strkr AI generates the segment definition. The marketer reviews the resulting contact list before enrolling. The classic segment-builder learning curve is replaced by a sentence.

Reply triage

Auto-classify inbound responses.

When a contact replies to a journey email, Strkr AI classifies the reply (interested, not interested, OOO, question, unsubscribe request). Interested replies route to the owning rep with the context attached. Not-interested replies suppress from future journeys. OOO replies pause until the return date. The reply-triage FTE recovers 2-3 hours per marketer per week.

Deliverability and compliance

The infrastructure most teams underestimate.

Email marketing automation is only as good as the deliverability. A campaign that lands in spam is a campaign that did not happen. Strkr ships the deliverability guardrails most teams outsource to a dedicated vendor: dedicated IPs, warmup scheduling, bounce handling, suppression hygiene, and compliance surfaces for GDPR, CAN-SPAM, and CASL.

Dedicated IPs

High-volume senders get their own reputation.

Teams sending above a volume threshold can request dedicated IPs. The warmup process schedules automatically over the standard ramp window. Reputation metrics (bounce rate, spam-report rate, engagement rate) surface on the admin dashboard. The classic "we got blocklisted" incident is prevented by the ramp discipline.

Bounce handling

Hard and soft bounces processed automatically.

Hard bounces (invalid addresses) move to the permanent suppression list on the first occurrence. Soft bounces (full inbox, temporary outage) retry on an exponential schedule and move to suppression after a threshold. The classic "we keep sending to dead addresses" drag on reputation is prevented at the dispatcher.

Suppression lists

Unsubscribes honored across every campaign.

An unsubscribe suppresses the contact from every current and future campaign, not just the one they clicked out of. Admins can also upload external suppression lists (do-not-contact lists from previous tools). The classic "we re-contacted someone who unsubscribed six months ago" incident is prevented.

DKIM, SPF, DMARC

Setup wizard, not a documentation PDF.

The admin surface walks through DKIM, SPF, and DMARC setup for the sending domain with specific DNS record values to copy. The product verifies the records are in place before authorizing high-volume sends. The deliverability setup that typically delays a marketing launch by two weeks takes an afternoon.

Compliance surfaces

GDPR, CAN-SPAM, CASL support.

Opt-in capture with consent recording, unsubscribe link mandatory on every campaign, physical mailing address injection in the footer, data-subject-request workflow for GDPR. The compliance checklist that typically lives in a legal review happens as a product feature.

Reputation dashboard

See your sender health weekly.

Admin dashboard with inbox placement rate, spam complaint rate, bounce rate, engagement rate per sending domain. Alerts on threshold breaches. The reputation visibility that most teams only get from an expensive deliverability vendor ships as part of the product.

Integration with the sales motion

Email automation that writes to the pipeline.

The classic failure mode of email marketing automation is that it lives in a different tool than the sales motion. The marketer sees opens and clicks; the rep sees the pipeline. The two numbers never fully connect. Strkr's email automation is in the same tenant as the deals, so engagement signals drive sales motions directly and attribution writes to the pipeline automatically.

Lead score updates

Email engagement moves the score.

Opens, clicks, replies, and specific-asset downloads increment the lead score automatically. Score thresholds trigger routing rules: above 70, hand off to AE; between 40 and 70, SDR follow-up; below 40, continue nurture. The score is the shared language between marketing and sales rather than two separate measurements.

Rep notifications

Hot clicks surface to the owning rep.

A contact in an active deal clicks a specific link (pricing page, demo signup, case study). The owning rep gets a Slack ping or in-app notification with the context. The classic "my contact just visited the pricing page but nobody told me" delay is removed.

Journey-to-rep handoff

MQL threshold hands off to the sales motion.

When a contact crosses the MQL threshold mid-journey, the journey ends and the sales motion begins. The lead is routed to the right rep, a drafted first-touch email is prepared, and the rep sees the journey context (which emails opened, which links clicked, which assets consumed). No cold handoff.

Attribution to pipeline

Campaigns tied to the deals they influenced.

Each campaign's performance view shows the deals it influenced (first-touch, multi-touch, last-touch), the pipeline amount, the closed-won amount, and the ROI. The classic "which campaign actually drove revenue" question has a one-click answer rather than a weekly reconstruction from the ops team.

Shared data

Marketing and sales see the same contact.

The contact record carries campaign history, lead score, sales activity, deal stage, and account context on one page. Marketing and sales open the same record and see the same context. The classic "the marketer edited the contact and the rep lost the custom fields" conflict is prevented by one tenant, one data layer.

Flows and journeys

The same automation runtime, different surfaces.

Email journeys are built on the same Flows runtime that powers CRM automation. A journey can trigger a Flow and vice versa. Example: an email reply triggers a Flow that creates a task, assigns to a rep, and drafts a follow-up. One automation layer for the whole revenue motion rather than two separate ones.

Compared to the alternatives

What a native email marketing layer replaces.

Most mid-market revenue orgs run email marketing on a stack: a dedicated email marketing platform (Mailchimp, Constant Contact, Klaviyo for ecommerce) for the sends, a marketing automation platform (Marketo, Pardot, HubSpot MA) for the journeys, and a deliverability vendor for the IPs. Strkr's native email marketing layer replaces most of the stack because it lives in the same tenant as the deals.

Marketo

Powerful, requires a specialist admin.

Marketo is the enterprise email marketing automation standard. The strength is also the limit: Marketo administration is a specialist role. Mid-market teams routinely under-utilize the product because configuration requires dedicated marketing-ops skill. The license, the vendor consultants, and the Salesforce sync maintenance stack to real spend.

HubSpot Marketing Hub

Approachable, gated features at higher tiers.

HubSpot Marketing Hub is the best approachable email marketing surface. The deeper journey features, custom-event triggers, and advanced attribution land at Enterprise. For a growing team the per-contact pricing climbs quickly, and the Pro-to-Enterprise jump is a doubling or more to unlock the ceiling.

Salesforce Pardot / Account Engagement

Deeply integrated with Salesforce, enterprise price.

Pardot (now Marketing Cloud Account Engagement) is tightly integrated with Salesforce but prices as an enterprise product with a floor typically in the five figures annually. Capable but a specialist-admin product. Mid-market teams often buy it, under-use it, and still pay for it.

Mailchimp

Simple, limited journey features.

Mailchimp is the easiest to adopt for broadcast email. The journey features exist but shallow; the CRM integration is one-way; attribution to pipeline requires a separate ops effort. Fine for a very small team or a pure broadcast use case; teams that outgrow it face a hard switch.

Klaviyo

Excellent for ecommerce, limited for B2B.

Klaviyo is the ecommerce email marketing standard. The product is tuned for high-volume, high-frequency sends tied to a transactional data layer. For B2B revenue teams running longer sales cycles and account-based motions, the product shape fits awkwardly.

Strkr Email Marketing

Native, pipeline-attributed, AI-drafted, included.

Journey builder, AI drafts, dedicated IPs, deliverability guardrails, compliance surfaces, pipeline attribution, Flows runtime integration, all shipping on Pro and above. The email marketing automation most teams buy from two vendors ships as one layer.

Email marketing ships on Pro. AI drafts ship on Pro. Pipeline attribution ships on Pro.

Journey builder, deliverability guardrails, dedicated IPs for high-volume senders, included. Start a trial, build your first nurture journey this afternoon.

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Common questions

What buyers ask about this feature.

What is email marketing automation?

Email marketing automation is software that sends emails automatically based on triggers (form submit, segment entry, specific user action), routes contacts through branching logic (replied vs did not, clicked vs ignored, converted vs stayed in nurture), and measures outcomes (opens, clicks, replies, downstream pipeline). Historically it lived in a separate tool from the CRM, with a sync bridge connecting the two. Strkr delivers email marketing automation as a native layer inside the suite: sends go through Strkr's native infrastructure, engagement writes directly to the contact timeline, pipeline attribution happens automatically because the deals are in the same tenant.

How is this different from Mailchimp or Marketo?

Mailchimp is strong at broadcast email but light on journey logic and CRM integration. Marketo is powerful but specialist-admin territory with enterprise pricing. Strkr's email marketing lives inside the CRM: the journey builder uses the same automation runtime as the rest of the suite, engagement signals move the lead score in real time (not a nightly sync), pipeline attribution writes automatically, and AI drafts help build campaigns in minutes rather than hours. The practical difference is that marketing and sales see the same contact with the same context rather than two tools exchanging data over a bridge.

Does Strkr handle deliverability?

Yes. The product ships deliverability guardrails most teams outsource to a dedicated vendor: dedicated IP options for high-volume senders, warmup scheduling for new sending domains, automatic bounce handling (hard bounces to permanent suppression, soft bounces with retry), unsubscribe hygiene across every campaign, DKIM / SPF / DMARC setup prompts with DNS record verification, and a reputation dashboard with inbox placement rate, spam complaint rate, bounce rate, and engagement rate per sending domain. Alerts fire on threshold breaches so admins catch issues before they become blocklist events.

Can I write campaigns with AI?

Yes. In the campaign editor, click Draft with AI and Strkr AI produces a first-draft subject line, preheader, body copy, and CTA based on your brief, target segment, and sender voice. Click Generate Variants and the AI produces three subject-line options for A/B testing. Personalization tokens can be AI-generated per contact for role-specific intros, industry-aligned middle paragraphs, and funnel-stage CTAs. Send-time optimization lets the AI pick the hour most likely to produce an open for each contact. Reply triage auto-classifies inbound responses so interested replies route to the owning rep and not-interested replies suppress from future journeys.

Can email marketing attribute to the pipeline?

Yes, automatically. When a contact that received a campaign subsequently becomes a deal, the campaign is tagged as influencing that deal. The campaign's performance view shows deals influenced (first-touch, multi-touch, last-touch), pipeline amount, closed-won amount, and ROI. The classic "which campaign actually produced revenue" question has a one-click answer rather than requiring the ops team to reconstruct attribution from exports. Marketing and sales see the same data because the campaigns and deals live in one tenant.

What about compliance (GDPR, CAN-SPAM, CASL)?

The product ships compliance surfaces as a product feature. Opt-in capture with consent recording. Unsubscribe link mandatory on every campaign (the editor refuses to send without one). Physical mailing address injection in the footer. Data-subject-request workflow for GDPR (export, deletion, rectification). Audit log of every consent change, every send, every unsubscribe. The compliance checklist that typically lives in a legal review happens inside the product so marketing can ship without a weekly handoff to legal.

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