Built for lead gen teams

Lead gen that lives inside the CRM so the lead never gets lost between tools.

Lead gen is three jobs under one label: capturing inbound, generating outbound, and qualifying the resulting prospects. Strkr runs the full lead gen flow on one tenant so capture, enrichment, routing, cadence, and pipeline attribution all share the same record of truth.

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What this audience is actually dealing with

The pains that bring buyers here.

If you typed "lead gne" and landed here, welcome. Lead gen is the common shorthand for lead generation, and the challenge has stayed roughly the same for two decades: how does the business reliably produce qualified prospects for the sales team to work. The specific friction has shifted. Twenty years ago the question was list-building and cold calling. Ten years ago the question was inbound marketing and marketing automation. Today the question is how to run inbound capture, outbound prospecting, enrichment, qualification, routing, cadence, and attribution across a stack of tools without losing leads between the hops. Most teams run four to seven tools for the full lead gen motion. Each handoff is a potential leak. Each tool has its own learning curve, pricing uplift, and quarterly feature-release calendar. Each one claims to be the "single source of truth" and none of them are. Rachel running demand gen at a 40-person services firm wants the lead gen motion to be one tool, not a Zapier diagram with 11 nodes that breaks every third Tuesday. Strkr runs the full flow natively. The pain points below are what customers describe before migration. And no, this page is not going to recommend connecting more tools with another sync layer.

The seven-tool stack

Marketing automation plus forms plus sync plus CRM plus sequencer.

The common lead gen stack: a form tool (HubSpot, Typeform, Marketo), an enrichment vendor (Clearbit, ZoomInfo), a routing tool (Chili Piper, LeanData), a marketing automation platform, a sales engagement tool (Outreach, Salesloft), a CRM, and a BI tool for the attribution join. Seven subscriptions. Seven admin surfaces. Seven places the data goes stale. Strkr runs the lead gen motion on one tenant with no sync between tools because there are no separate tools.

The attribution hole

The deal closed; nobody can say which touch sourced it.

With leads moving across multiple tools, the attribution question becomes an archaeological project. First-touch attribution lives in marketing automation. Last-touch lives in the CRM. Multi-touch requires a BI query that nobody wants to maintain. The quarterly marketing report runs with a specific "attribution not available" disclaimer on roughly 15 percent of closed deals. Strkr's unified timeline makes attribution automatic because the touches all log to the same record.

The lead-rot problem

The lead sat in a sequence for 90 days with no human eyes.

Automated cadences can run for weeks or months without any human review of whether the lead is still viable, whether the contact is still at the company, whether the account has shifted in a way that makes the pitch irrelevant. The lead rots in the sequence and the AE picks up a tired prospect six weeks later with no fresh context. Strkr's automation runs with specific health checks (contact-currency verification, account-change detection, engagement-decay signals) that pause or exit the sequence before the lead rots.

Cost per lead going up

Every tool uplifts; the per-lead cost climbs with the stack.

Each tool in the lead gen stack uplifts 10 to 25 percent annually. The CPA (cost per acquired lead) compounds across the stack. A 60-person demand gen operation that was running at 180 dollars CPA three years ago often runs at 280 to 340 dollars CPA today for the same lead quality, driven mostly by tool-cost inflation rather than market changes. Strkr's flat per-seat pricing takes the tool-cost variable out of the CPA calculation.

The qualification handoff gap

Marketing says MQL; sales says "not qualified."

The specific friction between marketing qualification and sales qualification is a decades-old problem. Marketing scores leads using marketing automation signals; sales re-qualifies based on direct conversation. The two scoring systems disagree. The leads marketing hands off as MQLs get re-triaged by sales with 40 percent rejection rates. Strkr's unified qualification score reads both marketing and sales signals so the handoff carries one score both teams trust.

Compliance landmines

GDPR, CAN-SPAM, TCPA across five tools.

Running outbound and inbound lead gen across five tools multiplies the compliance surface. Each tool has its own consent management, its own suppression list, its own audit log. A data subject access request requires coordinating across five systems. A TCPA records request requires five separate evidence packages. Strkr's unified compliance posture runs on one audit log with one consent model and one suppression list.

What the unified lead gen surface ships

The specific capabilities running on one tenant.

Strkr's lead gen surface runs nine capabilities on a single tenant that collectively replace the stitched four-to-seven-tool stack. The cards below describe each capability with operational specifics.

Inbound capture

Forms, landing pages, popups, chat native.

Capture surfaces include native forms with progressive profiling, landing-page builder with visual editor, popup forms with exit-intent and scroll-triggered logic, native chat widget with AI qualification, and embed codes for integration with any third-party website. Submission writes directly to the pipeline with sub-second latency and no separate form-tool subscription.

Outbound generation

ICP-matched prospecting with grounded first-touch drafting.

Outbound surfaces include a live ICP engine (recomputes monthly from closed-won patterns), discovery search across native B2B directory plus integrated databases (ZoomInfo, Apollo, Lusha, Cognism), intent-signal overlay (Bombora, G2), verification at surface time, grounded first-touch drafting using the tenant's best-reply historical patterns, and native multi-touch cadences across email, SMS, and voice.

Enrichment layer

Firmographic, technographic, intent on every lead.

Enrichment runs on lead creation (inbound) and discovery (outbound) with firmographic data (industry, size, revenue, geography, parent-subsidiary), technographic data (tech stack signals from BuiltWith, Clearbit, specific vendor detection), intent data (Bombora topic signals, G2 category research, hiring signals from job boards), and verification (email valid, LinkedIn current, role active). The enrichment uses the tenant's existing subscriptions where configured or Strkr's native coverage.

Unified qualification scoring

One score reads marketing and sales signals.

The qualification score reads form field values, enrichment data, engagement history, intent signals, and sales-side signals (direct outreach engagement, calendar bookings, pricing-page visits) into one 0-100 score that both marketing and sales reference. The score surfaces the top-3 contributing signals so the AE knows why the lead scored 72 instead of 48, which eliminates the marketing-vs-sales qualification argument.

Routing engine

Territory, segment, round-robin, capacity in one rule set.

The routing engine runs ICP-match routing, territory routing, segment routing, round-robin balancing, capacity routing (skip the AE at 100 percent of their open-deal cap), OOO routing (skip AEs on PTO), and specific-named-account routing. Rules run on live CRM data so territory changes propagate instantly. No separate LeanData or Chili Piper subscription.

Cadence engine

Multi-touch sequences with health checks.

Native cadences run multi-touch sequences across email, SMS, voice, and LinkedIn with configurable timing between touches. Specific attention to lead-rot prevention: contact-currency verification during the sequence, account-change detection, engagement-decay signals that pause or exit the sequence when the lead goes cold. AE manual touches integrate into the sequence timing so the automation does not fire while the AE is already working the lead.

Pipeline-native attribution

First-touch, last-touch, linear, position-based.

Every touch (page view, email open, form submit, outbound reply, meeting booked) logs to the lead timeline with the full source attribution (specific campaign, UTM parameters, content, outbound sequence). The attribution surface computes multiple attribution models from the same timeline without a BI reconciliation. The quarterly marketing report runs with attribution available on 100 percent of leads, not 85 percent.

Compliance surface

GDPR, CCPA, CAN-SPAM, TCPA on one audit log.

Compliance posture runs natively: GDPR Article 6 lawful basis documentation on outbound campaigns, CCPA access and erasure request handling on the unified data layer, CAN-SPAM compliance on every outbound email with physical address and unsubscribe link, TCPA pre-send checks (consent, DNC registry, RND reassignment, timezone, calling hours) on every outbound call and SMS. One audit log retains with the full evidence trail for 4 years.

Flow builder for custom logic

Visual canvas with typed variables and external API calls.

Beyond default flows, Strkr's flow builder supports custom lead gen logic: conditional branching on specific lead attributes, typed variables for computed scoring, external API calls for custom enrichment or scoring vendors, approval gates for high-value leads routing through sales management, scheduled actions for time-boxed follow-ups. The builder replaces the Zapier-style stitched automation with native typed logic.

How the lead gen motion runs on one tenant

From capture through close on one timeline.

The specific benefit of running lead gen on one tenant is the ability to see the full lead lifecycle without context switching or BI reconciliation. The six cards below describe how the unified motion plays out across the lead lifecycle.

Inbound lead creation

Form submit to AE notification in 30 seconds.

An inbound form submission on a Strkr landing page writes to the pipeline, triggers enrichment, computes the qualification score, applies routing logic, and fires AE notification across push, Slack, and email within 30 seconds. The AE calls within 3 minutes on business-hour submissions, meeting the 5-minute first-contact SLA that drives inbound conversion. No sync lag between tools because there is only one tool.

Outbound campaign launch

The campaign targets 300 ICP-matched prospects in a morning.

An outbound campaign builds in the morning: the SDR runs ICP-matched discovery against the live ICP engine, filters by intent-signal elevation, verifies freshness at surface time, selects 300 prospects, and enrolls in the campaign in one gesture. The AI-drafted first touches queue for SDR review. By afternoon, the campaign is live with the first-touch wave sent and the deliverability guard monitoring sender reputation.

Mid-funnel engagement

The prospect reads 3 blog posts; the AE sees the pattern.

A prospect from an outbound campaign reads three blog posts over two weeks. The reads log to the lead timeline. The AE sees "visited pricing page, read 3 technical blog posts, downloaded case study" as a specific engagement pattern. The follow-up conversation references the specific content the prospect engaged with, which produces a different conversation than a cold re-engagement would.

Qualification handoff

The MQL moves to SQL with one score both teams trust.

When the lead reaches the configured qualification threshold (score above the SQL cutoff plus specific signals confirming sales readiness), the opportunity creates automatically with the AE assigned. The handoff carries the full engagement history, enrichment data, prior touches, qualification score with top contributing signals, and the AI-generated discovery-call brief. The AE picks up the opportunity with full context in one view.

Opportunity progression

Pipeline tracking from first touch to closed deal.

The opportunity moves through the sales pipeline with the full lead gen history retained on the record. Stage progression, mutual action plan state, pricing conversations, procurement activity, and multithreading all tie to the specific lead gen origin. The attribution surface shows the complete picture when the deal closes: which campaign generated the lead, which cadence produced the reply, which content touched the deal, which specific interactions moved the deal through stages.

Post-close feedback loop

The win informs the next quarter's lead gen.

When the deal closes, the full lead gen history on the record feeds back into the ICP engine recalibration, the content attribution analysis, and the cadence performance review. The patterns that worked promote to template libraries. The patterns that did not work surface for retirement. The lead gen motion improves quarter over quarter from the feedback loop that is only possible when the full lifecycle lives on one tenant.

Why running lead gen on one tenant matters

Specific operational benefits versus the stitched stack.

Running lead gen on a single tenant produces specific operational benefits that compound over quarters. The seven cards below detail the measurable advantages.

Zero sync lag

Lead creation to AE notification in sub-second.

Every tool-to-tool sync adds latency. A typical five-tool stack has aggregate latency of 15 to 45 minutes from form submit to AE notification. The native approach collapses the latency to sub-second because there is no sync. The first-contact SLA that drives inbound conversion becomes trivially achievable, which produces measurable lift in inbound-sourced pipeline.

Attribution integrity

100 percent of leads attributed, not 85 percent.

Stitched stacks lose 10 to 20 percent of attribution data to sync-mapping failures, UTM parameter loss, cookie expiration mid-flow, and specific data-format mismatches between tools. The native approach keeps 100 percent of attribution data on the lead record because there is no mapping layer. Attribution reports become trustworthy, which changes how marketing budgets allocate.

Admin burden reduced

One tool, one admin, one quarterly roadmap.

Running seven tools means seven admin surfaces, seven user management systems, seven API-key rotation schedules, seven quarterly feature-release calendars, seven procurement renewals per year. The native approach collapses all of this to one. The RevOps lead reclaims 5 to 10 hours per week on admin tasks that stitched stacks require.

Cost per lead down

The stack cost that was 180 CPA goes to 95.

The direct tool-cost consolidation plus the admin-time savings plus the specific operational efficiency gains typically drive CPA (cost per acquired lead) down 30 to 50 percent at mid-market scale. A 60-person demand gen operation running at 280 CPA on a seven-tool stack frequently lands around 140 to 160 CPA on Strkr with the lead quality held constant or improved.

Compliance simplified

One audit log instead of five.

Compliance requests (GDPR access, CCPA erasure, TCPA evidence) run against one unified data layer with one audit log. The 45-day CCPA response window becomes achievable in days instead of weeks. The specific operational benefit when a request lands is substantial, because the stitched-stack reconstruction effort can tie up a legal team member for weeks.

Feedback loops tighten

The post-close learning informs the next outbound.

Running the full lifecycle on one tenant means the post-close learning loop runs natively. The patterns that produce closed deals promote to templates. The content that touches wins get investment. The cadences that produce replies get expanded. The feedback loop that is operationally impossible across five tools runs trivially on one.

Troubleshooting speed

The lead that got lost has one place to investigate.

When a lead disappears or fails to route correctly or does not reach the AE, the troubleshooting across a stitched stack is a four-tool investigation: did the form submit, did the enrichment fire, did the routing tool receive it, did the CRM record it. On the native approach, the entire flow runs on one tenant with one run log. Troubleshooting a specific lead takes minutes instead of hours.

Head-to-head

Strkr unified lead gen vs the seven-tool stack.

The common comparison is a seven-tool lead gen stack: form tool, enrichment vendor, routing tool, marketing automation, sales engagement, CRM, BI. The honest comparison looks like this.

Feature Strkr Seven-tool lead gen stack
Vendor count One tenant, one contract Four to seven vendors
Lead-to-AE latency Sub-second native 15 to 45 minutes typical
Attribution integrity 100 percent on native timeline 80 to 90 percent typical
Admin surfaces One admin console Multiple admin surfaces
Qualification score consistency One score read by both teams Marketing MQL vs sales SQL friction
Compliance surface One audit log, one consent model Multi-tool reconstruction required
Monthly cost at 60-person scale Flat per-seat, included in paid tier 8K to 24K across stack
Feedback loops Native post-close learning BI engineering required
Troubleshooting speed One run log, minutes to resolve Multi-tool investigation hours
Time-to-live 2 to 4 weeks 2 to 6 months for full stack
How teams use Strkr

How lead gen teams run Strkr today.

The playbooks below describe live motions on customer tenants. Each anchors on a specific team shape and the specific outcome Strkr's unified lead gen produced.

55-person B2B services firm

Seven-tool stack consolidation saved 240K annually.

A 55-person B2B services firm had been running HubSpot Marketing (36K annually), Clearbit (18K), LeanData (22K), Outreach (72K), Salesforce Sales Cloud (84K), Mixpanel (12K), and a BI tool (15K) for a total stack cost of 259K annually. Full consolidation to Strkr landed at an all-in cost that saved 240K after the tier adjustment. CPA dropped from 240 to 115 over two quarters because the operational efficiencies (eliminated sync lag, consolidated admin, improved first-contact SLA) compounded across the full motion.

Mid-market SaaS, 35 reps

Attribution clarity revealed real content ROI.

A mid-market SaaS at 35 reps had been running their lead gen stack across HubSpot plus Salesforce plus Marketo with BI reconciliation. The quarterly marketing report always included an "attribution unknown" disclaimer on 12 to 18 percent of closed deals. After migrating to Strkr's unified lead gen, attribution ran on 100 percent of leads. The specific finding: three content pieces the team had been considering for retirement were actually touching 23 percent of closed-won deals in a specific segment. Those pieces got doubled-down on instead of retired, which the content lead later cited as a specific revenue impact of migration.

Early-stage SaaS, 12 people

Time-to-live under 3 weeks on the full lead gen motion.

A 12-person Series A SaaS implemented the full lead gen motion (inbound capture, outbound sequences, enrichment, qualification, pipeline attribution) on Strkr in under 3 weeks. The specific comparison was a prior attempt at a HubSpot plus Salesforce plus Outreach stack that had taken 11 weeks to configure before the team gave up on it. The native unified approach eliminated the configuration overhead because the integrations are not configured; they just exist.

Enterprise sales org, 180 reps

Compliance posture simplified GDPR access responses.

A 180-rep enterprise sales organization operating in European markets handled 11 GDPR access requests in Q2. Previously, each request required coordination across HubSpot, Salesforce, Marketo, and Outreach with aggregated response time averaging 32 days. On Strkr's unified compliance posture, the Q3 average response time dropped to 4 days with the full data trail retrievable from the unified audit log. The legal team specifically flagged the response-time improvement as a material operational benefit that justified the migration beyond the direct cost savings.

Hybrid product-led SaaS, 28 reps

MQL-to-SQL conversion improved 34 percent.

A hybrid product-led SaaS at 28 reps had been running marketing qualification in HubSpot and sales qualification in Salesforce with the two scoring systems producing frequent disagreement. On the Strkr unified qualification score, the MQL-to-SQL conversion rate (the proportion of marketing-qualified leads that sales accepted as sales-qualified) improved 34 percent in the first quarter after migration. The specific driver was that both teams were reading the same score with the same contributing signals, which eliminated the "marketing says it is hot, sales says it is cold" argument that had been eating 30 percent of handed-off leads.

Lead gen that runs on one tenant from capture through close.

Start a 14-day trial on Strkr with the full lead gen motion configured: native inbound capture, ICP-matched outbound, enrichment, unified qualification scoring, routing engine, native cadences, pipeline-native attribution, unified compliance posture. Replaces four to seven tools. Flat per-seat pricing. No sync lag.

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Common questions

What buyers in this bucket ask most.

Is "lead gne" the same as lead gen?

Yes, "lead gne" is a common typo for "lead gen," which is the shorthand for lead generation. If you landed here from that search query, the content on this page covers the same territory as a typical lead gen page: how businesses generate qualified prospects through inbound capture, outbound prospecting, enrichment, qualification, routing, cadence execution, and pipeline attribution. The term lead generation covers the full discipline. Lead gen is the industry shorthand. "Lead gne" is just a typo that Google search sometimes serves. The underlying functions are what matter. Strkr runs the full lead generation motion inside the CRM so capture, enrichment, qualification, and pipeline all share one record of truth without separate tools for each step.

How many tools can Strkr replace in a lead gen stack?

For a typical mid-market B2B lead gen stack, Strkr replaces four to seven separate tools depending on the specific stack composition. The common replacements include: the form builder (Typeform, HubSpot forms, Marketo forms), the enrichment vendor (Clearbit, ZoomInfo, Lusha where native coverage meets the need, with the option to keep the specific vendor via connector where coverage requirements demand it), the routing tool (Chili Piper, LeanData, Default), the sales engagement platform (Outreach, Salesloft, Apollo Engage), the marketing automation platform for most B2B use cases (Marketo, Pardot, HubSpot Marketing), the CRM itself (Salesforce, HubSpot, Pipedrive, Zoho), and the BI tool for the attribution join (looker, specific marketing attribution tools). Specific advanced use cases may still benefit from a specialized tool (very specific ABM orchestration via 6sense or Demandbase, very specific conversation intelligence via Gong at the enterprise end, specific technographic depth via ZoomInfo Enterprise). For most mid-market teams, the consolidation lands at 4 to 7 tools eliminated with annual savings of 150K to 400K at the 40 to 100 person scale.

What does the migration from a seven-tool lead gen stack look like?

A full seven-tool lead gen migration typically runs 8 to 16 weeks depending on team size and specific tool complexity. Week 1 to 2: discovery phase. The migration specialist maps the current stack, documents the specific lead gen flows, identifies the specific features in each tool that must preserve. Week 2 to 4: data migration. Contacts, accounts, opportunities, activities, custom fields, campaigns, and workflow definitions pull from each source tool. Historical attribution data preserves where possible. Week 3 to 6: parallel operation. The Strkr environment runs alongside the production stack with a specific subset of users testing the native flows. The parallel period validates that the new flows match the production motion before cutover. Week 5 to 8: iterative configuration. Flow builder configurations, scoring rules, routing logic, cadence templates, and landing page templates configure based on the production needs. Week 7 to 10: user training. The specific users (marketing, SDR, AE, RevOps) train on the new surfaces with role-specific guidance. Week 9 to 12: wave cutover. Users move from the production stack to Strkr in waves (specific team or segment first, then expanding) to limit risk. Week 11 to 16: production operation plus optimization. Specific flows tune based on production observation. Legacy tools decommission as users complete migration. The dedicated migration specialist runs the project without a separate implementation partner retainer.

How does the ICP engine handle a business with multiple distinct ICPs?

Many businesses sell to multiple distinct ICPs (different industries, different segments, different product lines, different motions like PLG vs sales-led). Strkr's ICP engine supports multiple ICP profiles per tenant with specific scoring per ICP. Configuration specifies the distinct ICPs (ICP A: mid-market SaaS CTOs, ICP B: enterprise financial services VPs, ICP C: SMB marketing leaders) with specific firmographic, technographic, and behavioral criteria for each. The engine computes separate scores against each ICP for every discovered or inbound record. Routing rules consider the ICP match to determine which AE or team receives the lead (the ICP-A specialist AE picks up ICP-A matches, the ICP-B team picks up ICP-B matches). The content library tags with ICP relevance so content attribution respects the ICP boundaries. The forecast and reporting surfaces slice by ICP so leadership can see pipeline health per segment. The monthly ICP recalibration runs separately per ICP from the closed-won patterns in that specific segment. For businesses in a transition (adding a new ICP, deprecating an old ICP, splitting an ICP into finer subsegments), the configuration supports the transition with specific migration tooling for lead reclassification across ICPs.

Can Strkr's lead gen work with our existing marketing automation platform if we are not ready to replace it?

Yes. For teams running specific marketing automation platforms (Marketo, HubSpot Marketing, Pardot, specific enterprise MA stacks) that are not ready to migrate, Strkr integrates via native connector APIs. The specific pattern: the MA platform continues to handle marketing emails, nurture campaigns, and specific MA-native functions. Strkr handles the CRM pipeline, enrichment, routing, cadences, and attribution. The two systems sync bidirectionally with specific attention to attribution-signal preservation (UTM parameters, campaign assignments, specific MA engagement signals). Over time, specific MA functions can migrate to Strkr's native capabilities as the team's comfort grows. The migration from MA platform to native Strkr runs on a longer timeline (6 to 18 months typical for complex MA deployments) with specific phased handoff of functions. The common pattern is to start with Strkr as the CRM plus outbound plus attribution layer while keeping the MA platform for inbound campaigns and marketing nurture, then migrate the inbound campaigns and nurture to Strkr over subsequent quarters. The specific advantage of the phased approach is that the team can validate Strkr's native capabilities against production needs before committing to a full MA retirement.

What does the pricing look like for a unified lead gen setup versus the stitched stack?

Strkr's unified lead gen is included in the standard per-seat pricing on the paid tier with no separate SKUs for forms, enrichment, routing, cadences, attribution, or specific lead gen features. A 60-person team at the standard per-seat price typically lands at an all-in cost of roughly 30K to 60K annually depending on the specific tier. For comparison, a seven-tool stitched stack serving the same 60-person team typically runs 180K to 320K annually across the tool subscriptions. The direct cost delta usually falls in the 120K to 260K annual savings range. Beyond the direct cost, the operational efficiency gains (admin time reduction of 5 to 10 hours per week, troubleshooting time reduction, elimination of BI engineering for attribution) typically produce an additional 60K to 120K annualized value in recovered team capacity. The total economic case for migration frequently exceeds 200K annualized for mid-market teams, which usually clears the specific threshold procurement needs to greenlight the migration project. For teams at the enterprise end with established Salesforce deployments and specific partner ecosystem dependencies, the economic case is similar but the switching costs are higher, so the business case usually anchors on specific operational improvements beyond pure cost savings.

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