Feature · CRM Marketing Automation

CRM and marketing automation that share one record, not two subscriptions.

Marketing campaigns, nurture journeys, lead scoring, segmentation, and attribution all read and write the same account, contact, and deal records the sales floor works. Strkr ships the marketing automation layer natively, so RevOps stops reconciling HubSpot against Salesforce and the handoff from marketing to sales takes no sync job in the middle.

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The CRM-vs-marketing-automation debate, settled

Two tools, two definitions of a contact, one chronically broken handoff.

For twenty years the standard revenue stack has been a CRM for the sales floor and a marketing automation platform for the demand team. The two systems carried different definitions of a contact, different understandings of consent, different scoring models, and different owners of the master record. The handoff between them required a sync job that broke every three months when a vendor pushed a schema change, and the leadership team spent half of every quarterly review arguing about which number was correct. Strkr starts from a different premise. If a contact is a contact, the marketing automation platform and the CRM should share the same row. The nurture journey and the sales cadence should be two views on the same engagement history. The scoring model should write to the same field the AE reads. The attribution report should pull from the same opportunity table the forecast rolls up. Everything on this page is built on that premise. The sections below describe what the integration actually looks like at the record level, which is where the broken handoffs always originate.

One contact row

Marketing and sales write to the same record.

A contact exists once. A nurture email sent by marketing lands in the activity timeline the AE reads. A reply the AE gets lands in the engagement history the demand team reads. The row is one row with two surfaces. There is no cross-system merge, no VLOOKUP by email, and no quarterly reconciliation of the two definitions.

One consent record

Opt-in and opt-out live on the contact, not the tool.

When a contact opts out, every channel honors it immediately. The marketing nurture suppresses on the next send. The sales cadence suppresses on the next step. The SMS campaign suppresses before the next message queues. One consent record on the contact, read by every surface, which is the only shape that stays compliant under GDPR, CASL, and CCPA at the same time.

One scoring field

The score marketing writes is the score sales reads.

The lead score lives on the contact row. Marketing defines the model inputs; the model emits a number; the AE sees the same number the demand team sees. No translation. No two-tier definition where marketing calls a lead qualified and the AE disagrees with the definition on principle. One scoring field, one definition, one source of truth.

One attribution model

Multi-touch attribution against real pipeline.

The attribution report reads campaign touches against the opportunity table the forecast rolls up. Every stage, every amount, every close date is the same number the sales floor runs the forecast against. The CMO and the CRO argue over strategy, not over definitions. The pipeline-sourced number is the same number on both dashboards.

One owner model

MQL to SQL hand-off without a sync job.

When a nurture crosses the configured threshold and the contact becomes an MQL, routing fires. The owner lands on the contact row with the same assignment logic the inbound-lead router uses. Nothing hands off through a middleware. The SDR picks up the pre-qualified contact with the full nurture history in the activity timeline, which is what marketing-to-sales handoff was always supposed to feel like.

One activity timeline

Email, SMS, chat, meetings, product events.

The activity timeline on the contact carries every touch across every channel. Marketing emails sit next to sales emails. SMS messages through Strkr Messaging sit next to meeting notes. Product events sit next to campaign enrollments. The AE opening the record sees the real engagement arc, not a sales-only slice with a sync-delayed marketing shadow next to it.

One permission model

Marketing sees what marketing may see.

The field-level permission model applies to marketing automation the same way it applies to the sales cadence. A revenue field a demand team should not read is masked for the demand team. A marketing field a sales team should not edit is read-only for the sales team. One model governs both motions, which keeps compliance clean without a cross-system access-review ritual.

One audit log

Every change on the contact is one log.

The record audit log carries every change on the contact from every surface. A field written by a nurture flow, a field written by a sales cadence, a field written by Strkr AI, a field written by a human. Investigations walk one log, not two, which is the main reason compliance teams at mid-market SaaS tenants converge on this shape within a year of adopting it.

One pricing surface

Marketing automation ships on every paid tier.

There is no separate marketing automation SKU. The campaign builder, the journey engine, the scoring model, the segmentation builder, the landing-page builder, and the attribution reports ship on every paid tier at no extra charge. The seat price is the full price for the integrated stack. No Pro to Enterprise jump to unlock the marketing surface.

The marketing automation surface, built on the CRM

The jobs the demand team came to the platform to do.

The sales-adjacent view of marketing automation is one shape. The actual demand team has a different list of jobs: build and launch a campaign in under a day, run a multi-touch nurture across email and SMS, score every contact against the current ICP, segment the database by any field the business cares about, publish a landing page that writes directly to the CRM, and prove the pipeline impact against real closed-won dollars. Strkr ships every one of these natively, so the demand team does not have to double-check that the leads landed in the CRM, that the scoring updated correctly, or that the attribution closed the loop.

Campaign builder

A campaign from scratch in under an hour.

Pick a template, drag an audience segment onto the canvas, add email and SMS steps, attach a landing page, publish. The campaign goes live writing to the CRM contact records the sales floor already works. No separate campaign database, no first-touch cookie that gets lost on a cross-domain redirect, no quarterly cleanup pass to reconcile the campaign table with the CRM contacts.

Nurture journeys

Multi-step journeys with real branching.

The journey canvas lets the demand team compose a nurture with real branches. If the contact clicks the pricing-page link, route to the demo path. If the contact opens three emails without clicking, route to the SDR cadence. If the contact replies, route to a human for triage. The branching reads the same engagement history the sales cadence reads, which keeps the arc continuous across the two motions.

Lead scoring

A number per contact, with the drivers shown.

The scoring model combines firmographic fit, intent signals, behavioral signals, and engagement cadence. The output is a 0-to-100 number on the contact record with the three strongest drivers in plain English. Marketing tunes the weights. Sales reads the receipts. Nobody argues over whether a 72 is qualified because the drivers are visible.

Segmentation

Any field, any boolean, saved as a segment.

The segment builder reads every field on the contact and the account, including custom fields and roll-up fields. Build a segment of VP-and-above contacts at accounts in the enterprise tier that opened the last pricing campaign. Save it, use it in a campaign, pin it to a dashboard. The segment lives on the record data; it refreshes continuously as the underlying rows change.

Landing pages

A page that writes directly to the CRM contact.

The landing-page builder ships inside Strkr. The form writes to the same contact row the sales floor works. UTM parameters, source attribution, and campaign enrollment flow through on the write. There is no form provider in the middle, no POST to a third-party service, and no first-touch attribution lost in the hand-off.

Email composition

A composer that respects brand voice and consent.

The email composer carries brand voice settings, approved templates, and the full consent posture. Every send checks the opt-out list on the contact row before queuing. Dynamic fields pull from the contact and the account on the same record. Preview sends go to a real recipient; nothing escapes to a shadow test database that drifts from production.

A/B testing

Variant testing on subject, body, send time.

Compose two variants on any campaign step and the engine splits the audience, measures open and click, and declares a winner against the configured threshold. The result lands on the campaign record. The next send uses the winning variant by default. Testing is a first-class primitive, not a separate experimentation tool with a second billing meter attached.

Suppression lists

Static, dynamic, and compliance-driven.

Build a suppression list from a saved segment, a CSV upload, or a compliance tag. Every send checks the matching lists. A suppression on the contact row flows through to every campaign automatically. The suppression posture is defined once per tenant and inherited by every send, which is the only safe shape under modern consent regimes.

Attribution reporting

Touches to pipeline to closed-won.

The attribution surface rolls campaign touches against opportunity creation, pipeline progression, and closed-won dollars. First-touch, last-touch, linear, time-decay, and position-based models all run against the same source data. The CMO argues over model choice, not over data. The dashboard shows pipeline sourced, pipeline influenced, and bookings sourced on one page.

What breaks when CRM and marketing automation live apart

The failure modes every integrated demand-and-sales shop recognizes.

The single most expensive line in a mid-market revenue budget is the Salesforce-plus-HubSpot stack. The second most expensive line is the sync job between them, measured in headcount hours per quarter rather than in software license. The third most expensive is the lost pipeline that fell through the cracks of the hand-off. We have met with four customer teams that migrated from the two-tool stack to Strkr in the last ten months. The failure modes they described were identical. The list below is the one every operator who has lived the two-tool stack recognizes immediately. The list is also the one Strkr set out to delete when the product was designed.

The sync job

Breaks on every schema change on either side.

The sync between the marketing tool and the CRM breaks every time a vendor pushes a schema change on either side. Fields disappear. Mappings drift. The queue backs up on a Saturday and nobody notices until Monday. One tenant we spoke with lost 400 leads over a long weekend because the sync job hung and the alerting was pointed at the wrong channel.

Duplicate definitions

A contact in two systems is two definitions.

The CRM says contact A is primary; the marketing tool says contact A is secondary. The CRM has three email addresses on contact A; the marketing tool has one. The two systems have different opinions about which record is the master, and the ops team spends every quarter reconciling the two definitions by hand.

Scoring drift

Marketing calls a 72 qualified; sales says 72 is not.

The marketing tool defines the scoring model. The CRM reads the model output but has no insight into the drivers. The AE sees a qualified contact that looks nothing like the ICP and loses trust in the number. Six months later the SDR layer stops reading the score. The scoring investment goes to waste.

Consent gaps

A contact opts out in one tool and gets emailed from the other.

The contact clicks the unsubscribe link in a marketing email. The marketing tool suppresses correctly. The CRM sales cadence does not read the suppression and sends a sales email the following week. The complaint lands with the DPO and the compliance review consumes a quarter.

Attribution split

Two tools, two numbers, no agreement.

The marketing tool reports $4.2M sourced pipeline. The CRM reports $3.1M sourced pipeline against the same campaigns. The board asks for the real number. The CMO and the CRO spend the next three weeks reconciling the models before anyone can answer. The actual question (is the demand strategy working) never gets a direct answer.

Hand-off decay

Marketing-qualified leads die in the queue.

A contact crosses the MQL threshold. The sync job hands them to the CRM thirty minutes later. The routing engine picks an SDR. The SDR gets to the lead an hour after the trigger. The intent has decayed. The response rate is a third of what it would have been on a one-minute SLA. The gap is the sync, not the SDR, and nobody can point at it directly.

Timeline fragmentation

The AE sees half the history.

The AE opens the contact in the CRM and sees sales activities only. The nurture history, the campaign enrollments, the open rates, the click paths all live in the other tool. The AE builds their opening based on a slice of the story. The conversation is less sharp, the conversion is lower, and nobody can measure the gap because the data lives in two systems.

Double procurement

Two renewals, two legal reviews, two line items.

Procurement runs two renewals a year, one per tool. Legal reviews two DPAs. Security reviews two SOC 2 reports. Finance reconciles two invoices. The ops cost of maintaining the two-vendor stack is substantial on top of the license spend, and the operator time to run those reviews is often invisible on the P&L.

Admin fragmentation

Two admin consoles, two sets of training.

The marketing admin learns the marketing tool. The CRM admin learns the CRM. Neither one is fluent in the other. The new hire joining either team spends a month on tool-specific training that would have been a day on an integrated platform. The compounding cost over three years is more than the entire license line.

What the integrated version delivers

The measurable gains tenants see in the first ninety days.

When a tenant migrates from the two-tool stack to Strkr, there is a predictable set of measurable gains in the first ninety days. The scoring model stops drifting because marketing and sales read the same field. The hand-off latency drops from a sync-job window of thirty-plus minutes to a sub-minute routing SLA. The attribution report converges on one number. The compliance posture tightens because the consent record is single-sourced. The admin fragmentation collapses. The procurement calendar simplifies. The list below is the honest post-migration summary we have heard from the last four tenants to make the move, with the quantified impact where they shared it.

Hand-off latency

From 30-plus minutes to under one.

The sync-job window used to be 15 to 45 minutes between the marketing tool threshold crossing and the CRM router seeing the lead. On Strkr, the threshold cross and the routing fire are the same event. The SDR sees the lead within a minute. Response rates on inbound improve measurably because the intent window is still open.

Attribution convergence

One number instead of two.

The sourced-pipeline number and the influenced-pipeline number read from the same opportunity table the forecast rolls up. The CMO and the CRO see one dashboard with the same methodology. Board decks stop needing a data-reconciliation footnote. One tenant reported that the first attribution deck they produced on Strkr was approved without a single data-definition question.

Consent cleanliness

Zero gaps between channels.

An opt-out on the contact row suppresses on every channel at the next send. Sales email, nurture email, SMS through Strkr Messaging, and SDR cadence all read the same suppression. The compliance team walks a quarterly audit against one record rather than two, and the DPO review on a new campaign closes in a day instead of a week.

Admin velocity

Changes ship in days, not weeks.

A new field, a new segment, a new scoring input, a new routing rule all deploy inside Strkr with one admin team. The two-tool version used to require coordination across two admin consoles with a sync-job update in between. Changes that used to take two weeks ship in two days.

License consolidation

One vendor, one renewal, one DPA.

Procurement runs one renewal per year. Legal reviews one DPA. Security reviews one SOC 2 Type II report (in progress 2026-Q4). Finance reconciles one invoice. The total vendor-management overhead on the revenue stack approximately halves on migration, which is a cost nobody tracks until they stop paying it.

Score trust

Sales starts reading the number again.

The scoring model inputs are visible on the contact. The AE opens a 72-score contact and sees the three drivers in plain English. Trust in the number compounds. Within sixty days the SDR layer is working the score tiers, not ignoring them, because the drivers reconcile with reality on the ground.

Full-funnel visibility

The AE sees the whole arc.

The AE opening a contact in Strkr sees the campaign enrollment that originated the record, the nurture emails that engaged them, the sales conversations that followed, and the current open opportunity. The pitch opens on the real history. The win rate on sales-worked, marketing-sourced opportunities measurably rises inside a quarter.

Native AI across both motions

One assistant, one scoring, one draft.

Strkr AI runs on the same records both marketing and sales use. The lead-triage model is the same as the account-scoring model. The email draft model is the same across marketing campaigns and sales cadences, with per-mode tone configuration. One AI investment pays off across both motions, which is the shape that two-tool buyers have been asking vendors for since 2019.

Lower total cost

The two-line-item bill becomes one.

The seat price on Strkr covers CRM, marketing automation, Strkr AI, Strkr Messaging, flows, forecasting, and reporting. The two-tool stack typically charged separately for each capability with upgrade tiers to unlock the integration. The headline on the migration is a lower total cost on comparable features, which is the arithmetic that initiates most of the migrations we see.

How CRM and marketing automation plug into the rest of Strkr

The integration surface the demand team gets for free.

Beyond the CRM and marketing primitives, Strkr ships a set of adjacent surfaces that make the integrated story more useful than the sum of the parts. Strkr Messaging adds SMS and MMS to the campaign canvas with the same consent record the email channel honors. Flows add typed automation nodes that read the marketing data model with the same shape as the sales data model. Documents hold the content library the campaign composer references. The assistant drafts, scores, summarizes, and verifies against the integrated history. The surfaces compose because they share a database and a permission model.

SMS as a campaign channel

Strkr Messaging in the journey canvas.

Drop a Send SMS node into a nurture journey. The step uses Strkr Messaging with full opt-out, consent, and quiet-hours policy applied. The admin configures the sending profile once at the tenant level and every campaign inherits it. The audit trail on an SMS send sits next to the audit trail on the email send on the same contact.

Flows on marketing data

Automation across the integrated model.

Flows read and write campaign objects, segment memberships, and scoring fields with the same primitives they read and write sales objects. The admin builds a flow that fires when a contact crosses an MQL threshold, enrolls them in a sales cadence, and schedules an SDR task. One canvas, one node palette, one audit log.

Documents as content library

The campaign composer reads the wiki.

Marketing copy lives in the Strkr Documents module. The campaign composer references versioned content. An edit to a copy page in the wiki flows through to the next campaign send without a copy-paste step. Compliance reviews copy once and the review applies to every campaign that uses the referenced page.

Strkr AI on the record

Score, segment, draft, verify.

The assistant reads the integrated record. A scoring prompt uses the full engagement history. A draft prompt reads the brand voice settings. A segment-builder suggestion reads the business goals. The AI investment compounds across both motions because the data model does not fragment at the handoff.

Reporting fabric

One dashboard builder, both motions.

The report builder reads every field on every object. Marketing dashboards pivot on campaign spend, open rate, nurture engagement, and sourced pipeline. Sales dashboards pivot on pipeline, win rate, and forecast. The two sides of the house share the dashboard tool, which means a cross-functional dashboard is a direct build rather than a BI-tool project.

Forecasting integration

Sourced pipeline rolls into the forecast.

Opportunities tagged with a marketing-sourced touch flow into the forecast with the attribution model applied. The CRO forecast and the CMO sourced-pipeline number read from the same source table. There is no reconciliation step before the Monday forecast call, which is a change of posture most organizations have been chasing for years.

Projects for campaign ops

Launch tasks, QA checklists, approval flows.

A campaign launch is a project. Tasks, dependencies, QA checklists, and approvals live in the Projects module, scoped to the campaign. The marketing ops lead runs a launch the same way a product manager runs a sprint. One task runner across the business, not a side task tool only marketing uses.

Permissions and sharing

Field-level access on both motions.

The admin configures field-level permissions once. The campaign composer respects the same visibility rules the sales cadence does. Revenue data a demand team should not read is masked. Marketing operations fields a sales team should not edit are read-only. One model governs the whole business.

Imports and migration

Both toolsets collapse into one import.

The migration importer reads a HubSpot export and a Salesforce export in the same pass, dedupes the contact rows, preserves the engagement history on both sides, and lands one integrated contact per real person. The first week on Strkr sees the whole arc restored on the record, not a two-week reconciliation window waiting on the data team.

CRM and marketing automation on one record, one consent, one scoring field, one forecast.

Campaign builder, nurture journeys, lead scoring, segmentation, landing pages, A/B testing, suppression lists, and attribution reporting ship on every paid tier. Strkr AI, Strkr Messaging, flows, forecasting, and reporting all read from and write to the integrated record natively. Open a contact and watch the whole arc read in ten seconds.

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Common questions

What buyers ask about this feature.

What is the difference between CRM and marketing automation, and why do most companies run both?

A CRM traditionally handled the sales floor: contacts, accounts, deals, pipeline, forecasting, and reporting on bookings. A marketing automation platform handled the demand team: campaigns, nurture journeys, lead scoring, segmentation, landing pages, and attribution. Most companies run both because historically the two were best-of-breed vendors with limited overlap. The downside is that two tools carry two definitions of a contact, two consent records, two scoring models, and two owner models, which forces a sync job in the middle that breaks on every schema change. Strkr collapses both motions into one record, so the hand-off is a routing event rather than a middleware integration.

Does Strkr replace both my CRM and my marketing automation tool?

Yes, for the vast majority of mid-market revenue teams. Strkr ships CRM primitives (accounts, contacts, deals, pipeline, forecasting, reporting), marketing automation primitives (campaigns, nurture journeys, lead scoring, segmentation, landing pages, A/B testing, suppression lists, attribution), Strkr AI across both motions, Strkr Messaging for SMS and MMS, flows for automation, and the Projects module for campaign operations, all on one record and one subscription. The handful of use cases that still need a specialized tool (large-scale digital advertising ad buys, broadcast marketing automation for consumer brands at eight-figure email volumes per send) are not the shape most Strkr tenants run.

How does the handoff from marketing-qualified lead to sales-qualified lead work in Strkr?

When a contact crosses the MQL threshold configured on the scoring model, the routing engine fires immediately. The owner lands on the contact row with the same assignment logic the inbound-lead router uses, respecting territory rules, named-account mappings, round-robin assignments, and availability. The SDR sees the contact in their queue within a minute, with the full nurture history, every campaign enrollment, open and click events, and any product telemetry events all on the activity timeline. There is no sync job between tools, no stale window of 15 to 45 minutes, and no second definition of the contact to reconcile against.

Can we keep our existing CRM and only use Strkr for marketing automation (or vice versa)?

You can, but the shape loses much of its value. The point of the integrated model is that both motions read and write the same record under one permission model, one consent record, one scoring field, and one audit log. If you keep a separate CRM, you reintroduce a sync job, a dual-definition problem on the contact, and a split attribution model, which are the specific failure modes the integrated version solves. Most tenants migrate both motions together to get the full set of gains, and the migration importer is designed to collapse an export from each legacy tool into one record on Strkr during a single pass.

How does lead scoring work across marketing and sales inside Strkr?

The lead scoring model combines firmographic fit, intent signals, behavioral signals, and engagement cadence into a 0-to-100 number that lives on the contact record. Marketing defines the model inputs and tunes the weights. The output lands on the same field the AE reads. The three strongest drivers display in plain English next to the score, which is the quality that makes sales trust the number. The scoring field is a reportable column, a filterable segment input, and a routing trigger. One number, one definition, visible to both motions.

How does attribution reporting work when CRM and marketing automation share a database?

Attribution reads campaign touches against the opportunity table the forecast rolls up. Every stage, every amount, and every close date is the same number the sales floor runs the forecast against. First-touch, last-touch, linear, time-decay, and position-based models all run against the same source data. The CMO argues over model choice with the CRO, not over data definitions. The dashboard shows pipeline sourced, pipeline influenced, and bookings sourced on one page. Board decks stop needing a data-reconciliation footnote because the sourced-pipeline number and the forecast-called pipeline number are drawn from the same table.

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