Built for teams that nurture buyers over weeks, not minutes

A CRM with a drip campaign engine that actually understands pipeline state, not a scheduler bolted onto a contact list.

Drip campaigns are the backbone of nurture for leads that take 3 to 18 months to close. Most CRM drip tools are either a flat scheduler with no CRM context, or a marketing-automation module that charges a separate seat. Strkr ships drip sequences on the same record the AE already works, with branching on pipeline stage, behavior triggers, and deliverability guardrails included.

What this audience is actually dealing with

The pains that bring buyers here.

Drip campaigns look simple on a napkin and get complicated once a real pipeline is attached. The pain shows up when the first drip accidentally emails a closed-won customer, when a reply stops the sequence in one tool but not another, when the deliverability drifts because 400 sequences are running in parallel, or when the subscription creep means the marketing team is on one tool and sales is on another and neither knows which email the prospect saw last.

The two-tool nurture split

Marketing drips in HubSpot, sales drips in Outreach.

A common shape: marketing runs top-of-funnel drip in HubSpot or Marketo, sales runs mid-funnel sequences in Outreach or Salesloft. The two tools do not share state. A prospect receives a nurture email on Monday and a sales sequence email on Tuesday with conflicting messaging. The AE has no visibility into which marketing email landed last. Strkr unifies drip and sales sequences on the same record so the next send is aware of every prior one.

The closed-won leak

The nurture drip emails a customer who signed last week.

When drip tools do not read live pipeline state, a signed customer continues receiving the nurture sequence the week after close. The buyer gets the "still thinking about it?" email three days after wiring the implementation fee. Strkr drip sequences check pipeline stage on every send and auto-suppress contacts on accounts that moved to a configured exit state.

Branching that is not real branching

The if-then is just a tag, not a decision.

Many "drip with branching" tools expose a tag or a list membership check as the branch condition. Real branching reads behavioral and record signals (opened the pricing page twice, replied to a prior email with a question, moved from stage A to stage B) and sends different next-step content. Strkr drip branches read any Strkr field or event, including Strkr AI classification of a reply.

Deliverability drift

400 sequences running means the IP reputation drops.

A team running 400 concurrent drip sequences across 30 reps hits deliverability problems within 60 days because the sends-per-domain pattern looks exactly like a mail-blast platform to Google and Microsoft spam filters. Strkr paces sends per sending domain with warmup math built in, blocks sends when the per-domain rate exceeds safe thresholds, and surfaces per-domain reputation signals in the sender admin.

Reply detection is unreliable

The drip keeps sending after the prospect already replied.

Reply detection is one of the hardest pieces of a drip tool because out-of-office replies, forwarded mail, and auto-responders all look like replies to a naive detector. Strkr runs reply classification through Strkr AI with categories for genuine reply, out-of-office, bounce, forward, and auto-ack, and suppresses the sequence only on genuine human replies while letting out-of-office pause and resume on a return date.

Credit meters on sends

The invoice doubles the month the campaign goes live.

A fair number of drip tools charge per contact per month, per send, or per automation action. A 50-rep team that runs 12,000 drip sends in a launch month gets a surprise invoice. Strkr includes drip sends in flat per-seat pricing with no per-contact meter below the plan cap. The invoice is one line that scales with your team, not with the activity volume.

What Strkr drip sequences actually do

The capabilities that make the sequence survive contact with reality.

A drip engine inside a CRM is useful only if it reads live record state, respects reply detection, honors deliverability thresholds, and lets the sales rep take over mid-sequence without breaking the audit trail. The cards below are the capabilities Strkr ships, in the order most teams reach for them.

Multi-step visual canvas

Build sequences the way you draw them on a whiteboard.

Strkr drip sequences build on the Flow canvas with step nodes, delay nodes, branch nodes, action nodes, and exit nodes. The canvas supports up to 50 steps per sequence with any mix of email, SMS, task, and internal notification. The visual layout survives a one-year handoff because the shape of the nurture motion is readable.

Time, event, and date triggers

Start the drip on form fill, event, or specific date.

Sequences trigger on form submission, inbound email, calendar event, record field change, pipeline stage move, specific date reached, or Strkr AI event classification. The common patterns (trial-signup day 0, demo-booked day 3, lost-reactivation 90 days after close-lost) are template-ready and the admin can build custom triggers in minutes.

Branching that reads any field

If-then conditions over the live record.

Branch conditions in a Strkr drip read any contact, account, or deal field, any Strkr event (page view, email open, link click, meeting booked), and any Strkr AI classification. The branch returns different next-step content, delay durations, or exit paths. The branch logic is readable to a RevOps generalist six months after it was built.

Reply classification

Strkr AI sorts replies into 5 categories.

Inbound replies to a drip send route through Strkr AI classification: genuine reply, out-of-office, bounce, forward, auto-ack. Genuine replies stop the sequence and alert the rep. Out-of-office pauses the sequence and resumes on the return date parsed from the reply. Bounces update the deliverability record. The reply detection is substantially better than keyword matching.

Deliverability guardrails

Per-domain pacing with warmup math.

Strkr paces sends per sending domain according to warmup math that respects a cold-domain ramp, a per-day volume ceiling, and a per-mailbox provider throttle. The admin sees per-domain reputation signals and bounce rates. The guardrail blocks sends that would push a domain into a reputation hit, which matters most on the Monday after a holiday weekend when queue backlogs would otherwise spike.

Rep takeover without breaking state

The AE can jump in and keep the sequence alive.

When a prospect warms, the AE often wants to send a one-off personalized message without killing the surrounding drip. Strkr supports mid-sequence rep takeover: the AE sends a one-off, the drip pauses, resumes after a configurable cooldown, and the full exchange logs on the contact record. The sequence state does not break because the rep sent an email.

The drip templates that ship on day one

Starting points that cover 80 percent of real nurture motions.

Strkr ships a library of drip templates built from actual customer campaigns. The templates are a starting point, not a prescription. Teams typically clone a template, tune 2 or 3 steps, and launch. The cards below are the common templates in the library.

Trial-signup nurture

14-day drip for self-serve trial users.

A 7-step sequence over 14 days: welcome and setup checklist on day 0, feature spotlight on day 2, use-case story on day 5, product-tip video on day 7, 1:1 demo offer on day 10, pricing walkthrough on day 12, trial-end reminder on day 14. The sequence branches on trial activity: active users get the pricing walkthrough, dormant users get a re-engagement email.

Demo-booked warmup

3-step drip before the first call.

A 3-step sequence between demo booking and the actual demo: confirmation plus prep questions on day 0, relevant case study on day 2, agenda plus join link on the morning of the call. The sequence suppresses if the prospect replied in the thread or if the demo was rescheduled. The sequence lives on the deal record so the AE sees the full warmup trail.

Lost-deal reactivation

90-day quarterly drip for closed-lost deals.

A 4-step sequence that fires 90 days after a deal closes lost: product-update digest on day 90, feature-matched-to-loss-reason email on day 150, customer-story email on day 210, 1:1 reconnect offer on day 270. The sequence branches on the original loss reason, so a budget-lost deal gets different content than a competitor-lost deal.

Content-download nurture

5-step drip after a top-of-funnel content download.

A 5-step sequence for a prospect who downloaded a whitepaper or ebook: thanks plus related content on day 1, use-case story on day 7, product short-video on day 14, 1:1 offer on day 21, bump-and-exit on day 30. The sequence routes to the SDR queue if the prospect clicks through on the day-21 1:1 offer email.

Renewal risk outreach

45-day drip ahead of renewal date.

A 4-step sequence that fires 45 days before a subscription renewal date: value-realized summary on day minus 45, product-roadmap preview on day minus 30, 1:1 QBR offer on day minus 15, direct renewal CTA on day minus 7. The sequence suppresses if the CSM has a QBR on calendar and threads any reply straight to the CSM queue.

Event follow-up

7-step drip after a trade-show scan.

A 7-step sequence for leads scanned at a trade show: event thanks on day 1, booth-content on day 3, use-case story on day 7, event-only offer on day 10, 1:1 offer on day 14, product short on day 21, bump-and-exit on day 30. The sequence branches on scanned-booth zone, so a demo-zone scan gets different content than a swag-zone scan.

Drip plus the rest of Strkr

The parts of the CRM that make the drip actually work.

A drip engine survives contact with reality only when the surrounding CRM shares state cleanly. Strkr ships drip in the same product as pipeline, Strkr Messaging, meeting booking, and the AI drafting layer. The cards below show how the drip engine composes with the rest of the product.

Pipeline state as a signal

Stage changes trigger, suppress, or branch the drip.

A deal that moves from Discovery to Proposal can trigger a late-stage proof-point drip. A deal that moves to Closed-Won auto-suppresses from any active nurture. A deal that moves to Closed-Lost queues the lost-reactivation drip 90 days out. The pipeline state is a first-class signal, not an afterthought.

Strkr Messaging in the drip

SMS steps alongside email steps.

A Strkr drip can mix email and SMS steps. A common pattern: email on day 0, email on day 3, SMS on day 7 for a soft nudge, email on day 10. SMS steps honor consent capture per contact and 10DLC compliance on the backend. The AE sees the full multi-channel exchange on one timeline.

Meeting booking inline

Drip emails embed a scheduling link.

Any drip step can embed a Strkr meeting link that routes to the right rep based on territory, round-robin, or stage. The booked meeting creates a Strkr event, updates the deal, and if configured, pauses the drip until the meeting completes. The handoff from nurture to pipeline is a single click.

Strkr AI drafting

Draft new drip copy in the canvas.

Strkr AI drafts drip step copy in the canvas: enter the stage, the audience, the goal, and the AI drafts the body with placeholders for personalization fields. The draft is editable before send and never leaves the Strkr tenant. The feature is included in the plan and does not meter on a per-draft credit basis.

Reporting across the sequence

Open, click, reply, meeting-booked at every step.

Strkr reports break out per-step open, click, reply, meeting-booked, unsubscribe, and bounce rates. The common pattern (step 4 drops opens because the subject went stale) shows up in the report cleanly. Comparison across sequences, cohorts, and audience segments is a single query on the report builder.

Audit trail per record

Every send, every open, every reply on the timeline.

The contact timeline carries every drip send, every email open, every click, every reply. The AE opens a contact and sees the full nurture history in order. The pattern (opened step 3, clicked step 5, replied step 6) is immediately readable. The audit trail satisfies compliance review on regulated-industry campaigns.

Head-to-head

Strkr drip vs typical standalone drip tool.

The common standalone options (ActiveCampaign, Mailchimp with automations, Drip, ConvertKit, HubSpot Marketing Pro) each do nurture well in isolation but add a sync layer to any CRM. Here is the head-to-head against a standalone drip tool paired with a CRM.

Feature Strkr Standalone drip tool plus CRM
Pricing basis Flat per seat with drip included on every paid tier Per contact per month for drip tool plus per seat CRM
Pipeline state as trigger Native: any field, stage, or AI classification Via CRM sync with lag and schema-mapping burden
Reply detection Strkr AI with 5-category classification Keyword matching, often fires on auto-responders
SMS inside the sequence Native with 10DLC compliance Separate tool, separate contract, separate audit
Meeting booking inline Native scheduling link routed by territory or stage Via Calendly or Chili Piper integration
Deliverability guardrails Per-domain pacing with warmup math Varies by tool, often not surfaced to admin
AI drafting Included, no per-draft credit meter Credit metered on most AI-enabled tools
Compliance posture HIPAA with BAA, SOC 2 Type II in progress through 2026-Q4 Varies, often HIPAA requires enterprise upgrade
How teams use Strkr

How Strkr drip campaigns run in production.

The common thread across teams running drip on Strkr: fewer tools, cleaner audit trail, and the AE sees the full nurture history without opening a second app. The playbooks below are drawn from actual deployments in the last year.

32-seat SaaS

Trial-signup drip consolidated from HubSpot to Strkr.

A 32-seat SaaS team ran its trial nurture in HubSpot Marketing Pro at 890 dollars per month plus a CRM sync. After consolidation on Strkr, the nurture lives on the deal record, the AE sees opens and clicks on the timeline, and the second-month HubSpot subscription was decommissioned. The team retained 4 sequences in the library and retired 11 that had drifted out of use.

18-seat B2B service

Lost-deal reactivation sequence recovered 7 deals in 2 quarters.

An 18-seat B2B service firm built a 4-step lost-deal reactivation drip that fires 90 days after close-lost. In the first 2 quarters, the sequence recovered 7 deals representing roughly 220,000 dollars in reactivated pipeline. The sequence branches on the original loss reason, so budget-lost prospects get a tier-pricing update and competitor-lost prospects get a feature-match story.

55-seat agency

Multi-channel drip with SMS plus email for event follow-up.

A 55-seat agency ran a 7-step event follow-up drip after a conference. The sequence mixed email and SMS steps, with SMS gated by consent captured at the booth. The multi-channel sequence saw a 34 percent reply rate across the full exchange, substantially higher than the prior-year email-only follow-up. The AE handoff was clean because every exchange lived on one timeline.

12-seat RevOps-led

Self-serve drip library built in a weekend.

A 12-seat RevOps-led team built out 5 drip templates in a single weekend by cloning the Strkr library and tuning the step bodies to the firm's voice. The library launched Monday and ran without maintenance for 60 days before the first tune. The time-to-first-active-sequence was under 4 hours including training.

70-seat SMB CRM

Renewal-risk drip reduced churn 2 percentage points.

A 70-seat SMB CRM team built a 4-step renewal-risk drip that fires 45 days before subscription renewal. Over 3 quarters the sequence reduced churn by roughly 2 percentage points relative to the prior-year renewal cohort. The sequence routes replies to the CSM queue, so the renewal conversation starts on the first warm signal rather than at the renewal date.

Drip sequences on the record, without the second subscription.

Start a 14-day trial with the full Strkr stack: CRM, drip campaigns, pipeline, Strkr Messaging, projects, docs, flows, cross-object reporting, mobile with offline queue. Launch a drip sequence in minutes with the template library and watch the exchange compose on the contact timeline alongside pipeline state.

Common questions

What buyers in this bucket ask most.

How many drip sequences can a team run concurrently on Strkr?

Strkr does not meter the number of concurrent sequences below the plan cap. A 50-seat team can run several hundred concurrent sequences without triggering a billing surprise. The practical limit comes from the per-domain send pacing and the deliverability warmup math, which blocks sends that would push a sending domain into reputation risk. The admin sees per-domain volume signals and can adjust pacing by sequence or sending identity.

Does Strkr handle HTML email templates for drip steps?

Yes. Drip step bodies accept HTML templates with Strkr's merge-field syntax for personalization. The template library includes mobile-responsive layouts, plain-text fallbacks, and compliance-safe unsubscribe handling. Teams typically start with 2 or 3 brand-styled templates and reuse them across sequences with step-level body customization. The template editor supports preview-before-send across common inboxes.

How does Strkr handle consent capture for drip sends to new contacts?

Strkr records consent source and timestamp on every contact. Consent sources include form submission, imported with signed-off source, verbal confirmation logged by the rep, and double opt-in from a confirmation email. Drip sequences check consent on every send and block sends to non-consenting contacts. The admin can configure per-sequence consent requirements, which matters for regulated-industry campaigns and GDPR territories.

What happens when a prospect replies to a drip email?

Strkr AI classifies the reply into 5 categories: genuine reply, out-of-office, bounce, forward, or auto-ack. Genuine replies stop the sequence and alert the rep in Slack, email, or in-app. Out-of-office pauses the sequence and resumes on the parsed return date. Bounces update deliverability signals and remove the contact from the sending list. The AE sees the full exchange on the contact timeline with the AI classification labeled on each reply.

Is drip metered separately from the CRM in Strkr pricing?

No. Drip sequences are included in the flat per-seat price on every paid Strkr tier. There is no per-contact meter, no per-send meter, and no per-automation-action meter below the plan cap. The invoice is one line that scales with your team, not with the activity volume. The plan cap is published openly and is set well above what most teams need across the first 2 years of use.

How is Strkr's drip different from HubSpot Marketing Pro?

HubSpot Marketing Pro is a strong standalone nurture tool but it reads CRM state via sync, which carries lag and schema-mapping burden. Strkr runs drip on the same record the AE already works, so pipeline state, stage moves, Strkr AI classifications, and Strkr Messaging consent all flow natively. The pricing is flat per seat rather than per contact per month, which shifts the math for teams with large contact databases. The compliance posture is HIPAA with BAA and SOC 2 Type II in progress through 2026-Q4.

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