Feature · Digital Marketing Automation

Digital marketing automation that reads from the same record sales edits.

Web capture, email nurture, paid-channel audience feedback, SMS outreach, event follow-up, and revenue attribution. The full digital marketing motion inside the CRM so marketing and sales look at the same record and the same timeline.

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What digital marketing automation covers

Seven channels one platform has to handle.

Digital marketing has sprawled. A single campaign touches web, email, SMS, paid channels, events, retargeting, and often chat. Each channel used to require a specialist tool and a sync layer. The modern mid-market revenue team wants one platform that handles the common patterns across all seven without stitching. Strkr is designed for this consolidation.

Web

Form capture, landing pages, visitor tracking.

The first-party web channel: hosted forms, landing pages, visitor tracking that writes to the contact timeline. Strkr ships native landing page templates, form builder, and visitor-tracking script so the web capture happens on the brand's own domain with full attribution.

Nurture, newsletters, transactional, triggered.

The core marketing channel for mid-market B2B. Strkr handles branded newsletters, drip nurture, triggered transactional sends, and SDR-shaped outbound in one email layer. Deliverability, format rules, and timezone awareness ship native.

SMS

High-engagement, consent-first.

Strkr Messaging is the SMS layer: TCPA-compliant consent capture, template library, delivery tracking, two-way conversation surface. SMS outperforms email on open rate for the audiences that opt in; Strkr handles both channels on one timeline.

Paid-channel audience sync

Feed Google and Meta the right lists.

Strkr pushes audiences to Google Ads, Meta, LinkedIn Ads through native connectors. Suppress customers from acquisition campaigns; feed lookalike seeds from closed-won lists; push high-intent segments to retargeting. The paid-channel targeting reads from the real CRM record.

Event follow-up

Conference and webinar workflows.

Event attendance imports from the event tool, triggers role-specific follow-up sequences based on session attendance, meeting booking, and conversation disposition. The classic three-week delay between the conference and the follow-up disappears.

Retargeting

Behavioral triggers, cross-channel.

A contact visits the pricing page three times without converting. Strkr fires a retargeting signal to the paid channel, drops a follow-up email in the queue, pings the owning rep. The multi-channel response composes rather than running as three independent reactions.

Attribution

Which channels sourced closed revenue.

Multi-touch attribution across every channel ties back to the opportunity record. First-touch, last-touch, and weighted multi-touch models side by side. The CFO sees sourced pipeline per channel, closed revenue per channel, cost per channel in one dashboard.

Web and landing-page automation

First-party capture that writes to the real record.

The web channel is where most B2B digital marketing journeys start and end. A hosted form, a landing page, a visitor-tracking script. The common failure mode is that the web capture lives in one vendor, the CRM lives in another, and the sync between them is the leak that costs 20 percent of inbound pipeline. Strkr handles the web layer natively so the record exists inside the same tenant from the first click.

Native form builder

Hosted on the brand domain.

The form embeds on the brand's own domain via a lightweight script. Submissions write to the Strkr tenant instantly without a sync hop. The classic three-minute lag from form submit to CRM record is a non-event.

Landing pages

Branded, hosted, A/B-ready.

Landing page templates ship with the brand's styling tokens and the form inline. The marketing-ops lead can clone, modify, and publish a new landing page in 30 minutes. A/B variants run from the same tenant without a separate landing-page tool.

Visitor tracking

Known and anonymous visits logged.

A tracking script on the brand's site captures page views, time on page, scroll depth. For anonymous visitors, Strkr enriches when identity signals land (form submit, email click, meeting booking) and backfills the prior anonymous history onto the contact record.

Progressive profiling

Forms learn what the contact already shared.

When a known contact lands on a form, Strkr hides the fields the contact already filled on a prior submit and presents the next fields the sales team needs. The second submission expands the profile without re-asking name and email. A 40-rep logistics vendor we work with reported a 32 percent lift in second-submission completion after switching to progressive profiling.

UTM parsing

Campaign, source, medium, content, term.

UTM parameters on the landing-page URL parse into dedicated fields on the activity log and roll up to the contact and opportunity level. The attribution model has clean source data rather than a text blob to post-process.

Chat trigger

Chat conversations write to the timeline.

For teams running website chat, Strkr's chat connector writes conversations to the contact timeline. The visitor who talked to chat and then came back for a demo arrives with the chat context already on the record so the rep does not restart the conversation.

Email and SMS composition

Two channels, one authoring surface.

Email and SMS are the two outbound channels most digital marketing programs run. Strkr composes both channels from one surface so a cross-channel campaign (email send Tuesday, SMS follow-up Thursday for non-openers) authors as one workflow rather than two coordinated workflows across two tools.

Shared segment layer

One segment definition drives both channels.

The segment "enterprise prospects in financial services who downloaded the ROI calculator and have not converted" drives both the email send and the SMS follow-up. The segment is one query over the data model, not two queries that drift.

Cross-channel sequence

Email, then SMS, then email, in one Flow.

The sequence authoring surface accepts email, SMS, and even call-task steps in one timeline. The marketing-ops lead builds the four-touch cross-channel cadence as a single visual sequence rather than coordinating two separate sequences in two separate tools.

Consent respected

Email opt-in and SMS opt-in tracked separately.

Email consent and SMS consent are separate fields on the contact. A contact can opt in to one and not the other. Strkr respects each consent individually: the email step runs if email consent is yes, the SMS step runs if SMS consent is yes, the compliance posture never leaks.

AI drafting across channels

Strkr AI composes both email and SMS copy.

The AI drafting layer handles both email body and SMS message authoring. The marketing-ops lead provides the campaign goal, audience, and offer; the AI returns drafts across formats. The lead reviews, edits, publishes. The 90-minute copy session becomes a 20-minute review.

Reply handling

A reply on either channel pauses both.

If the contact replies to the email, the SMS step pauses too. If the contact replies to the SMS, the email step pauses. The cross-channel pause is one policy because the data model carries one record for the contact.

Carrier compliance

TCPA, consent, DNC enforced on SMS.

Strkr Messaging enforces TCPA compliance (consent capture, DNC enforcement, quiet-hours gating by local timezone, opt-out keyword handling). The carrier reporting is clean. The team ships SMS without lawyering each send.

Paid-channel integration

Feed the ad platforms audience data they can use.

Paid-channel efficiency is largely a function of audience quality. Running broad-targeting campaigns against unfiltered audiences burns budget. Running retargeting against stale audiences underperforms. The native integration between the CRM audience and the paid-channel platforms is where mid-market teams unlock a step change in paid ROI.

Suppression audiences

Customers never see acquisition ads.

Current customers get pushed to the suppression list on every acquisition campaign. The budget stops being wasted on people who already pay. The customer-feeling-advertised-to-after-purchase complaint drops sharply.

Lookalike seeds

Closed-won lists feed modeling.

The closed-won customer list feeds Meta and Google lookalike modeling. The paid platform builds the lookalike against the audience the CRM says actually converted, not against a stale list uploaded six months ago.

Retargeting audiences

Pricing-page visitors fed to the ad platform.

A segment of contacts who visited the pricing page in the last 14 days without converting pushes to the paid-channel retargeting audience. The ad spend focuses on the highest-intent prospects rather than on broad site visitors.

Lead-source attribution

Which ad campaign sourced the deal.

When a paid-channel click converts, Strkr captures the campaign, ad group, and creative into dedicated fields on the activity log. The deal that closes carries the full paid-channel source for attribution. The CMO defends paid spend with closed-revenue evidence per campaign.

ABM audience push

Target-account contacts fed to LinkedIn.

The target-account list feeds a LinkedIn matched audience for account-based advertising. The paid motion aligns with the sales motion. The multi-touch pattern that B2B ABM relies on composes cleanly.

Cost import

Ad spend lands next to pipeline sourced.

Ad spend from Google and Meta imports to Strkr through connectors. The dashboard shows cost per channel next to sourced pipeline per channel. The ROI math runs in one place. A 60-rep infrastructure monitoring vendor we work with said this specific view (cost per channel beside sourced pipeline per channel) changed how they allocated budget quarterly.

Event follow-up and webinar automation

The three-week-delay problem has an answer.

Events (conferences, webinars, trade shows, user conferences) generate a disproportionate share of mid-market B2B pipeline. The classic failure mode is that the attendee list sits in a CSV for three weeks post-event and the warm leads cool before anyone follows up. Strkr's event-follow-up automation collapses the gap because the event data flows into the same CRM the sales team already works.

Attendee import

Session-level attendance tagged.

The attendee list imports from the event tool (Zoom, Hopin, Eventbrite, custom) with session-level attendance tagged per contact. The CRM knows which sessions each contact attended, not just that they were registered.

Role-specific follow-up

The CTO and the VP Marketing get different emails.

The follow-up sequence branches on job role. A CTO who attended the technical track gets a technical follow-up; a VP Marketing who attended the strategy track gets a marketing-focused follow-up. The one-size-fits-all post-event blast is replaced with persona-matched outreach.

Booth-conversation capture

The rep logs the conversation live.

At trade shows, reps capture booth conversations on mobile with photo of business card, voice note, or form entry. The capture syncs instantly. The classic "lost the business cards in my suitcase" pattern is a non-event.

Hot-lead flagging

Specific disposition triggers immediate outreach.

If the rep marks the conversation hot, Strkr creates an immediate SDR task with a drafted follow-up, schedules the first touch for the day the rep returns to office. The warm leads do not cool for three weeks.

Attribution on the opportunity

The event tag follows the deal.

When an opportunity opens on an event-sourced contact, Strkr tags the event as the sourcing campaign. The ROI calculation for the event is clean: cost of the event versus closed revenue sourced. The marketing team defends event budget with specific numbers.

Post-event cadence

Two touches, then nurture.

The default post-event cadence is a thank-you plus relevant resource touch within 48 hours, then a specific follow-up based on session interest within 10 days. Non-responders flow into a long-tail nurture rather than being dropped. A 90-rep SaaS vendor we work with lifted event-sourced pipeline by about 40 percent after switching to this cadence pattern.

Attribution and reporting

Which digital channels actually produce revenue.

The classic digital-marketing-attribution problem: every channel claims credit for every deal and the numbers do not add up to 100 percent. The honest answer is multi-touch attribution against a unified contact timeline. Strkr handles the measurement natively because every channel writes to the same tenant.

Unified touch history

Every channel on one timeline.

Email, SMS, web, paid, event, chat, call, meeting: every touch writes to the contact timeline in chronological order. The attribution query runs against one source rather than reconciling across six tools.

First-touch model

Which channel brought them in.

The channel that produced the first identified touch gets credit. Useful for understanding top-of-funnel efficiency: which paid campaign, which organic page, which referral source introduces net-new contacts into the pipeline.

Last-touch model

Which channel closed the loop.

The channel that produced the final touch before conversion gets credit. Useful for understanding bottom-of-funnel efficiency: which content, which SDR touch, which demo closed the deal.

Weighted multi-touch

Every touch gets fractional credit.

The weighted model distributes credit across every touch in the journey based on configurable weights (U-shaped, time-decay, linear). The honest view of multi-touch B2B journeys. Strkr runs the three models side by side so the CFO and CMO look at the same data from different angles.

Channel-level dashboard

Sourced pipeline per channel, trended.

The marketing dashboard rolls up sourced pipeline per channel: direct, organic search, paid search, paid social, email, SMS, event, referral. The quarterly channel-mix conversation runs on actual numbers.

Campaign-level ROI

Specific campaigns ranked by sourced revenue.

Within each channel, specific campaigns rank by sourced closed revenue divided by cost. The top campaigns inform the next quarter's budget; the bottom campaigns inform the retirement list. The budget conversation runs on data rather than feelings.

Compared to the alternatives

What a native digital marketing automation layer replaces.

Most mid-market revenue orgs cover digital marketing automation across five or six tools: a marketing automation platform, an email service provider, a landing-page tool, an SMS tool, a chat tool, an attribution tool. Each sync layer is a leak. Strkr consolidates because every channel writes to the same tenant.

HubSpot Marketing Hub

Bundled, approachable, pricing scales.

HubSpot Marketing Hub covers email, landing pages, forms, and basic automation in one bundle. The limits appear at the Pro-to-Enterprise jump where the contact-based pricing climbs quickly. Strkr covers the same shapes with transparent pricing at the mid-market tier.

Marketo Engage

Enterprise-grade, specialist-dependent.

Marketo is the enterprise standard for digital marketing automation. The capability is deep; the admin burden requires a dedicated specialist. For mid-market teams, the specialist overhead often exceeds the specialist return. Strkr covers the common patterns without the admin tax.

Mailchimp plus Unbounce plus Zapier

DIY stack, metering, sync leaks.

The common SMB-into-mid-market stack: Mailchimp for email, Unbounce for landing pages, Zapier for the sync. The audit surface is thin; the metering scales with volume; we will never suggest Zapier as the operational backbone. Strkr absorbs the three roles into one tenant.

Pardot (Account Engagement)

Salesforce-adjacent, legacy UX.

Pardot sits inside Salesforce but keeps its own data model and interface. Reps complain about the dual UX; admins complain about the sync; the pace of improvement has slowed. Strkr runs marketing and sales on one data model.

Specialized tools stitched together

Best-of-breed, worst-of-integration.

The three-to-five vendor stack: a dedicated email tool, a landing-page tool, an SMS tool, an attribution tool, a paid-channel tool. Each specialist excels in its slice; the integration is the cost center. Strkr covers the common patterns across all slices in one tenant.

Strkr Digital Marketing Automation

One suite, every channel, included.

Web capture, email, SMS, paid-channel audience sync, event follow-up, retargeting, multi-touch attribution. All native. One tenant, one data model, one audit log. The digital marketing stack most teams buy from five vendors ships as one layer.

Digital marketing automation ships on Pro, every channel included.

Build your first landing page, launch your first cross-channel sequence, feed your first paid-channel audience, measure your first campaign ROI, all in one tenant this week.

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Common questions

What buyers ask about this feature.

What is digital marketing automation?

Digital marketing automation is software that executes marketing programs across digital channels: web capture, email nurture, SMS outreach, paid-channel audience targeting, event follow-up, retargeting, and chat. The best platforms unify the channels under one data model and one audit log so campaigns compose cross-channel without stitching together six specialist tools. The measurement layer handles multi-touch attribution across every channel. Strkr covers the full digital marketing surface natively inside the CRM so marketing and sales look at the same contact record and the same unified timeline.

How does digital marketing automation differ from marketing automation generally?

The "digital" qualifier emphasizes digital-first channels (web, email, SMS, paid, chat) rather than traditional direct mail or print. In practice, modern marketing automation is digital marketing automation; the distinction is almost historical. The specific shape mid-market B2B teams need combines web capture, nurture, cross-channel sequencing (email plus SMS), paid-channel audience sync, event follow-up, and multi-touch attribution. Strkr covers all seven surfaces in one tenant rather than requiring the common five-vendor stack.

Can digital marketing automation handle paid-channel integration?

Yes. Strkr pushes audiences to Google Ads, Meta, LinkedIn Ads through native connectors: suppression lists (current customers removed from acquisition campaigns), lookalike seeds (closed-won lists feed modeling), retargeting audiences (behavioral-signal segments like three-time pricing-page visitors), ABM audiences (target-account contacts to LinkedIn matched audiences). Ad-spend data imports back so the dashboard shows cost per channel alongside sourced pipeline per channel. A 60-rep infrastructure monitoring vendor we work with said this specific view changed how they allocated budget quarterly.

How does Strkr handle event follow-up?

Event attendance imports from the event tool (Zoom, Hopin, Eventbrite, custom) with session-level attendance tagged per contact so follow-up branches by role and session interest. Booth-conversation capture lets reps log conversations on mobile at trade shows with instant sync. Hot-lead flagging triggers immediate SDR task creation with drafted follow-up. The default post-event cadence is a thank-you touch within 48 hours plus a session-specific follow-up within 10 days, with non-responders flowing into long-tail nurture. The classic three-week post-event delay that cools warm leads is prevented structurally. A 90-rep SaaS vendor we work with lifted event-sourced pipeline about 40 percent after switching to this cadence pattern.

Does this work for cross-channel sequences (email plus SMS)?

Yes. The sequence authoring surface accepts email, SMS, and call-task steps in one timeline so the marketing-ops lead builds a four-touch cross-channel cadence as a single visual sequence. The shared segment layer means one query drives both channels. Consent is tracked separately (email opt-in and SMS opt-in are different fields) so the compliance posture never leaks. A reply on either channel pauses both. The classic failure mode (email sequence and SMS sequence running independently and the contact getting double-messaged after replying) is prevented because the data model carries one record for the contact and the pause logic is centralized.

How is attribution handled across digital channels?

Every channel writes to one unified contact timeline inside Strkr: email send, open, click, SMS, SMS reply, web visit, paid-channel click, event attendance, chat conversation, call, meeting. The attribution reporting runs three models side by side: first-touch (which channel introduced the contact), last-touch (which channel closed the loop), and weighted multi-touch (every touch gets fractional credit with configurable weights). Channel-level dashboards show sourced pipeline per channel trended, and campaign-level ROI ranks specific campaigns by closed revenue divided by cost. The classic "every channel claims credit, numbers do not add up to 100 percent" problem disappears because the data model carries one source of truth.

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