A B2B lead generation program typically runs on five tools: a web form, an email tool, a CRM, a sales-engagement platform, and a BI dashboard. Strkr runs the full stack on one record. Capture, score, route, nurture, convert, report. Transparent per-seat pricing starting at $15 per user per month.
A B2B lead generation program is not one tool, it is a stack. The stack has a web form, an email automation tool, a CRM, a sales-engagement cadence tool, a conversation intelligence tool, and some BI. Each of them is a separate contract, a separate login, a separate failure mode. The data moves between them via middleware or native sync, and the sync lag is where leads disappear. Here is the honest version of the problem and how Strkr collapses it to one record.
A standard B2B lead-gen stack moves data across five tools. Every integration point has latency, every sync has a failure mode, and the compound effect is leads that go cold or get double-routed. Strkr runs capture, score, route, nurture, convert, and report on one record, which removes the stitching entirely.
Marketing automation tools (HubSpot Marketing Hub, Marketo, Pardot) price on marketing-contact tiers. A successful B2B lead-gen program grows the list by 30 to 50 percent per year, which escalates the invoice at exactly the moment the program is working. Strkr has no marketing-contact meter.
The HBR studies on inbound lead response are 15 years old and still ignored. Leads reached within 5 minutes convert at 21x the rate of leads reached within 30 minutes. A 4-hour routing lag between form and rep is a leaky bucket on the whole program. Strkr routes in under a second.
The MQL-to-SQL handoff is the single most contested interface in B2B revenue. Marketing claims the leads are good, sales claims they are not, and the data lives in two tools so neither side can prove the other wrong. Strkr runs capture, scoring, qualification, and conversion on the same record so the data arbitrates the argument.
Attribution in B2B is a quarterly BI exercise, not a daily report. The data moves from paid platforms to CRM to warehouse to BI tool, and by the time the attribution model lands, the ad budget has already been reallocated on guesses. Strkr tracks source, campaign, medium, and content as first-class fields with real-time reporting.
A nurture sequence written in Q1 2024 is still running in Q4 2026 citing features that are two generations old. Most teams do not audit nurture sequences because the audit is painful. Strkr AI reviews nurture sequences quarterly and flags copy that references deprecated features or stale offers.
The feature set below ships on every paid tier. The stack runs on one invoice, one login, and one data model. Here is the honest version of what you actually need to generate B2B leads at scale.
Strkr Marketing ships a form builder and a landing page builder that write directly to the CRM record. No zap, no middleware, no sync lag. UTM fields, source, campaign, and medium are first-class, which also keeps attribution clean from the first touch.
A B2B form that asks 10 fields converts worse than one that asks 3. Strkr progressive profiling asks 2 to 3 fields on first touch, then enriches with firmographic lookup, then asks the next 2 fields on the next visit. Form conversion goes up, record depth grows naturally.
Strkr AI scores every lead on fit (industry, size, role) and engagement (page views, email, meetings). Top-decile leads route to the right rep in under a second. The 5-minute response SLA on inbound stops being an aspiration and becomes an automation default.
A B2B nurture is not a flat drip, it is a branching flow with content gates and engagement conditions. Strkr Flows models nurtures as visual DAGs with email, SMS, task, and wait nodes. The marketer builds the sequence once, Strkr AI reviews quarterly for stale references.
For teams running ABM, every target account has its own record with target personas, outreach plays, engagement tracking across the buying committee. ABM and inbound share the same scoring and routing, so a target account that fills a form routes faster than an unknown inbound.
Source, campaign, medium, content, and keyword flow through from first touch to closed-won on the same record. Strkr ships multi-touch attribution models (first touch, last touch, linear, position-based, time-decay) on every paid tier. The CMO sees ROI by channel on a daily report, not a quarterly BI project.
Strkr ships a chat widget that routes inbound chats to the right rep with the full session context. Inbound SMS from paid ads lands in the same engine with the same routing. The 11pm chat question gets a thoughtful response in the morning, not a lost record.
Every lead that converts to a meeting gets a Strkr AI prep brief with recent news, likely pain, prior touches. Every call ends with an AI summary. Every follow-up draft reads like the rep voice. Lead-gen conversion lifts because the human time comes back for the moments that need it.
The B2B lead-gen funnel runs through 6 stages. Most teams stitch the stages across tools. Strkr runs them on one record, which collapses the handoff gaps where leads leak out.
Strkr tracks visitor sessions, maps return visits to known contacts, and scores engagement for known accounts before any form fill. The sales team sees which target accounts are visiting pricing, which is a real signal in a 2026 ABM motion.
A form submits, Strkr enriches with firmographic data (company size, industry, revenue band, tech stack) in under a second, and routes based on the enriched record, not the raw form. The rep gets a qualified lead with context, not a bare email.
A lead crossing a scoring threshold (fit plus engagement plus recency) flips to MQL status, which triggers routing to a sales-development queue. The MQL definition is a visible rule the sales team can audit, not a hidden model.
The SDR takes first call, runs a BANT-adjacent discovery, converts to SQL with a documented hand-off. The AE gets a pre-briefed meeting with the full lead history on the record. The MQL-to-SQL conversion rate becomes a tracked line, not a weekly argument.
The qualified lead becomes an opportunity on the account record. The lead history, the first form, the nurture emails, the SDR calls, the AE meetings all live on one timeline. Attribution to closed-won stays clean because the source field flows through.
Every closed-won feeds back into the Strkr AI scoring model. The signals that predicted this win get weighted higher for the next lead that matches. The model gets sharper over quarters, which is why lead-gen efficiency compounds.
Most lead-gen tool comparisons compare feature matrices. The real criteria are time-to-first-lead, response-time SLA, cost at scale, and attribution clarity.
Strkr: 1 to 3 days. HubSpot Marketing Hub: 1 to 2 weeks with Pro setup. Marketo: 4 to 8 weeks with implementation partner. Pardot: 2 to 6 weeks. For a team under revenue pressure, setup time is lead-gen that did not happen.
Strkr: under 1 second via native routing. HubSpot: under 10 seconds via workflow. Marketo plus sales-engagement: 2 to 15 minutes depending on sync. Pardot plus Salesforce: similar. On inbound, the 5-minute SLA is the leading indicator of close rate.
Strkr: $45 per seat on Scale, roughly $11K per year, flat. HubSpot Marketing Hub Pro plus Sales Hub Pro: $100 to $400 per seat plus contact-tier escalators, often $75K to $200K per year by year three. Marketo plus Salesforce: $150K to $500K per year with implementation.
Strkr: real-time multi-touch attribution on every paid tier. HubSpot: strong attribution at Enterprise. Marketo: deep attribution with Bizible add-on. Pardot: B2B Marketing Analytics add-on. If attribution requires a separate SKU, the daily report becomes a quarterly project.
Strkr Flows: visual DAG with branching, conditions, and merge logic on every paid tier. HubSpot: strong workflow builder at Pro. Marketo: deep but requires experienced ops. Pardot: competent at Standard, deeper at Growth. The nurture complexity you can run without a developer caps the program.
Strkr AI: scoring plus drafting plus research on every paid tier. HubSpot Breeze: credit-metered. Marketo: predictive content and lead scoring at top tier. Pardot: Einstein add-on. AI as a line item on the invoice is a real cost.
The most common B2B lead-gen stack is HubSpot Marketing plus Sales Hub plus a sales-engagement tool. Strkr collapses that to one invoice.
| Feature | Strkr | HubSpot Marketing + Sales Hub Pro |
|---|---|---|
| Pricing basis | Flat per seat, full product on every paid tier | Per Hub plus marketing contact tiers |
| Marketing automation | Included on every paid tier | Marketing Hub, separate SKU |
| Lead scoring | Strkr AI real-time on every tier | Predictive at Enterprise |
| Lead routing | Sub-second native engine | Workflow-based at Pro and up |
| Attribution | Multi-touch on every paid tier | Multi-touch at Enterprise |
| Sales engagement | Native sequences and cadences | Sales Hub Pro / Enterprise required |
| Native SMS | Included as Messaging module | Not native |
| AI assistance | Included, no credit meter | Breeze credits meter above a limit |
| Native Projects | Full module on every paid tier | Not available |
| Field-level permissions | Pro tier and up | Enterprise tier and up |
The common thread across teams running Strkr for B2B lead gen: collapse the stack, route in seconds, measure attribution daily, let AI handle the repetitive parts.
Form fill, enrichment, scoring, routing in under a second. Top-decile leads route to the matching AE with a Strkr AI prep brief. First-touch SLA runs sub-5-minute on 80 percent of inbound. Conversion to opportunity doubles over the manual routing baseline.
A 200-account target list runs on an ABM motion. Target accounts that visit pricing or hit the demo request page trigger a priority route to the named AE. Inbound and ABM share scoring, which makes the pipeline coverage a single tracked number.
The MQL definition is a visible scoring threshold the sales team audits weekly. The MQL-to-SQL conversion is a report line, not an argument. SDRs work the MQL queue with Strkr AI research prep. Weekly reviews surface definition drift before the quarter.
Daily attribution reports show pipeline by source. The marketing manager shifts budget weekly based on live data (paid search, paid social, content syndication, review sites). Cost-per-opportunity drops 20 to 35 percent in the first quarter of running weekly shifts.
The CMO reports first-touch, last-touch, and linear attribution to the CFO quarterly. Strkr runs all three models from the same event data, which also means the models agree on the inputs and diverge only on the methodology. The attribution conversation shifts from "which model is right" to "what did we learn."
A 70-rep insurance brokerage runs inbound capture across 11 states with state-specific disclosures baked into the forms and per-state routing to licensed producers. The compliance team reviewed once, locked the state blocks, and marketing only edits the open paragraphs. First-touch SLA holds under 5 minutes across every state.
A construction GC with 12 field crews runs separate inbound captures per project type (commercial build, tenant improvement, specialty trades). Each capture routes to the right project lead with Strkr AI scoring on project size and timeline. The commercial division closed 23 percent more projects in year one of running Strkr.
Start a 14-day trial with capture, scoring, routing, nurture, attribution, and AI enabled on day one. Migrate from HubSpot Marketing Hub, Marketo, or Pardot in an afternoon. See transparent per-seat pricing starting at $15 per user per month.
Forms and landing pages, email automation with branching flows, lead scoring with Strkr AI, sub-second routing, multi-touch attribution, native SMS, chat widget, SDR cadences, call recording with AI summary, and reporting. All included on every paid tier at $15 to $75 per user per month. No marketing-contact meter.
HubSpot is the most common stack for B2B lead gen at the mid-market level. The three biggest differences: Strkr prices flat per seat with no marketing-contact escalator, Strkr AI is included on every paid tier with no credit meter, and Strkr ships native Projects for post-sale delivery. For a 20-rep team over three years the TCO gap is typically $75K to $200K.
Yes. ABM target accounts have their own records with target personas and outreach plays. ABM and inbound share the Strkr AI scoring and routing engine. A target account that fills a form routes with higher priority than an unknown inbound. The CMO sees ABM pipeline and inbound pipeline as separate lines on the same dashboard.
First touch, last touch, linear, position-based, and time-decay models from the same event stream. UTM source, campaign, medium, content, and keyword flow through from first touch to closed-won on the same record. Multi-touch is on every paid tier, no Enterprise gate. The CMO sees ROI by channel on a daily report.
The migration tool pulls contacts, companies, deals, lists, properties, forms, landing pages, and workflow logic. Automations rebuild in Strkr Flows, usually 20 to 40 flows in the first two weeks for an active B2B program. Most teams run parallel for 2 to 4 weeks before cutover, with the bigger lift being nurture sequence rebuild and attribution model configuration.
For most enterprise B2B programs below 500 reps, yes. Above that, teams with deep Pardot or Marketo investments and a vertical cloud ecosystem usually stay. Strkr runs the volume technically and the attribution deeply, but we are honest that at that scale the ecosystem of implementation partners matters, and Strkr is still growing that ecosystem. For teams running 200 to 500 reps evaluating a replatform, we recommend a pilot on one business unit for one quarter before a full migration decision. The data from the pilot usually resolves the strategic question.
Day 1: import contacts and accounts from CSV or a migration tool, configure the pipeline template that matches your motion. Day 2: build the first inbound form with firmographic enrichment on submit and sub-second routing to the right rep. Day 3: configure the scoring model with Strkr AI defaults for your industry. Day 4: build a 5-touch nurture flow for the first segment with AI-drafted copy. Day 5: run the first paid campaign through the system with full UTM tracking. By day 10 the attribution dashboard has enough data to make the first budget shift. Teams running this playbook typically see first-touch to first-opportunity cycle time drop by 20 to 30 percent in month one.
Four lines land cleanly in a CFO conversation. First, the license line: Strkr flat per seat vs HubSpot contact-tier escalators or Marketo plus Salesforce stack. On a 20-rep team that is usually $60K to $200K per year. Second, the admin line: a RevOps generalist at 15 to 20 percent time on Strkr vs a dedicated marketing ops role on Marketo. Third, the response-time line: sub-second routing on Strkr vs 2 to 15 minute lag through sync layers, which translates to measurable close-rate improvement. Fourth, the attribution line: real-time daily attribution on Strkr lets marketing shift budget weekly instead of quarterly, which typically improves cost-per-opportunity by 20 to 35 percent in the first quarter.
Strkr tracks consent basis per contact with timestamp and source. CAN-SPAM, GDPR, CASL, CPRA, VCDPA, and CPA requirements are enforced at the send layer, so a non-compliant send cannot be scheduled. Opt-out requests propagate in real time across every active sequence rather than running on a nightly batch. For teams running leads from multiple jurisdictions, consent and jurisdiction are tracked as structured fields on the contact record. The compliance log is exportable in the format legal usually asks for. A B2B software team we work with runs leads in 14 countries and reports zero compliance incidents in two years on Strkr.
No sales call, no migration consultant, no four-month implementation. Enter your card, get 14 days of the full Pro tier, cancel any time before day 14 with zero charge. Spin up a workspace, import your CSV, and have something useful before lunch.
