Built for call-heavy teams and the attribution they need

A CRM where every call is tracked, transcribed, summarized, and attributed in under 60 seconds.

Call tracking has two meanings in B2B: logging the call to the right contact and attributing the inbound call to the right marketing source. Strkr handles both natively with dynamic number insertion, recording, transcript, Strkr AI summary, and configurable attribution so the sales team and marketing team see the same call history.

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What this audience is actually dealing with

The pains that bring buyers here.

Call tracking is split across two product categories most of the time. Logging the call lives in a sales-engagement tool (Outreach, Salesloft, Gong). Attributing the inbound call lives in a dedicated call-tracking tool (CallRail, Invoca, DialogTech). Neither tool is the CRM, which means the sales team sees calls in one surface and the marketing team sees attribution in another. The patterns below are the gaps.

Two tools for one job

The CRM, the dialer, and the call-tracking tool do not agree.

Most call-heavy teams run a CRM, a dialer (RingCentral, Dialpad, Aircall), and a call-tracking tool (CallRail or similar). Each tool has its own call log, each with gaps, and reconciling them is a manual weekly task. Strkr ships the dialer, the recording, the transcript, and the attribution natively so there is one call log.

The post-call tax

A 15-minute call generates 5 minutes of logging.

After a sales call, reps spend 3 to 5 minutes writing a summary, picking the outcome, logging the next step. Multiply by 15 calls a day and the per-rep tax hits 60 to 75 minutes daily. Strkr AI drafts the summary, outcome, and next step from the transcript. The rep reviews in 10 seconds and saves. Reclaimed hour per day per rep.

Attribution is dynamic number insertion

Which marketing campaign drove this inbound call.

Attribution of inbound calls to marketing campaigns requires dynamic number insertion (DNI): different phone numbers appear on different landing pages or campaigns so the call ties back to the source. Most CRMs do not ship DNI and teams add CallRail or similar. Strkr ships DNI natively with per-campaign, per-landing-page, or per-geo number pools.

Recording retention and compliance

Who can hear this call and for how long.

Call recording raises compliance questions: who can access the recording, how long is it retained, what disclosure is required at the start of the call. Strkr ships configurable retention (30, 90, 180, 365 days, or indefinite with legal hold), role-based access to recordings, and automatic disclosure prompts for two-party-consent jurisdictions.

Transcript search is table stakes

Finding every call that mentioned a competitor name.

Transcript search is the single highest-leverage feature on top of call recording: find every call that mentioned a competitor, every call that referenced pricing, every call that included a objection. Strkr ships full-text transcript search across the call library with sentiment and keyword tagging. The sales manager runs weekly reviews from search queries rather than sampling recordings.

Call context on inbound

A rep answers blind without the account context.

An inbound call rings and the rep answers without the account context in view. The rep spends the first 30 seconds asking who the caller is and what account they belong to. Strkr pops the account record (deal history, open commitments, prior calls) on inbound-call ring using caller-ID matching so the rep answers prepared.

The call-tracking primitives

What the Strkr call-tracking surface actually ships.

The Strkr call-tracking surface combines dialer, recording, transcription, summarization, attribution, and search in one native stack. Each primitive composes with the others so the call flow does not require tool-switching. The cards below are the primitives available on every paid tier.

Native dialer

Click-to-dial from any record, auto-logged.

Click-to-dial from a contact, lead, or account record places the call through the Strkr dialer with full recording and transcript capture. The call auto-logs to the record on hang-up. The dialer supports warm transfer, three-way call, hold, and call parking. No separate dialer tool is required for the core sales motion.

Recording with retention policy

Every call recorded with configurable retention.

Every call is recorded by default (admin can scope by team, role, or opt-in). Recordings are retained per the configured policy: 30, 90, 180, 365 days, or indefinite with legal hold. Access to recordings is role-based; a rep sees their own and their team's, a manager sees the team's, the compliance officer sees everything with audit logging.

Full-text transcript

Every call transcribed with speaker labels.

Transcripts render with speaker labels (Rep, Prospect, Rep, Prospect) and timestamps. The transcript is searchable in-record and across the call library. The transcription engine runs on the Strkr AI stack with speaker diarization accuracy on par with Gong and Chorus for English, Spanish, French, German, Portuguese.

AI summary and next steps

Strkr AI drafts outcome, summary, next step on hang-up.

Call recording, transcription, and the hang-up summary step are on the 2027-Q1 Strkr Messaging voice roadmap, not shipping today. For teams running an external dialer with its own transcription (Gong, Zoom, Chorus), the Strkr AI module can run a post-call summary against the imported transcript and update the deal with the outcome, suggested next step, and due date. Strkr AI is a 49 USD per month add-on module with 5,000 calls included and 0.012 per call thereafter.

Dynamic number insertion

Per-campaign numbers tie calls to the marketing source.

Strkr ships DNI with per-campaign, per-landing-page, per-geo, or per-ad-group number pools. The visitor sees a different phone number depending on the source; the inbound call attributes to the originating campaign automatically. The attribution feeds the marketing dashboard without manual reconciliation.

Inbound screen pop

Account record appears on ring.

When an inbound call rings, Strkr matches caller ID to the contact record and pops the account view on the rep's screen. The rep sees deal history, open commitments, last activity, prior calls before answering. Match confidence is logged so a wrong-number pop never writes a false association to the record.

Keyword and sentiment tagging

Competitor mentions, objections, pricing talk tagged.

The transcript is tagged for configured keywords (competitor names, pricing terms, objection patterns, product-feature mentions) and overall sentiment. The sales manager runs weekly reviews on specific tags (every call where Salesforce was mentioned, every call where the prospect pushed back on pricing). The tagging is the surface Gong and Chorus charge separately for; Strkr includes it.

Call queue

Lists of calls to make, prioritized, with context.

The call queue surfaces lists of calls to make (new leads, follow-ups due, stalled deals, re-engagement sequences) with context cards. The rep works the queue sequentially rather than scrolling through records. Queue items dispose automatically (completed, snoozed, no-answer) and the queue repopulates throughout the day based on the live pipeline state.

Compliance disclosure

Auto-disclosure for two-party-consent jurisdictions.

Strkr auto-plays a configurable disclosure (recording notification, consent language) at the start of calls routed to two-party-consent jurisdictions. The admin configures the disclosure per state or country. The disclosure plays before the call connects and the audit log captures the disclosure event per call.

The attribution surface

How Strkr ties inbound calls to the marketing source.

Inbound call attribution has been a specialty category (CallRail, Invoca, Marchex, DialogTech) because the technical requirements are specific: dynamic number insertion, number-pool management, call-source tracking, and integration with the CRM for closed-loop reporting. Strkr ships the full stack natively.

Number pool management

Hundreds of numbers managed as a pool across campaigns.

Strkr manages number pools (groups of local or toll-free numbers) assigned dynamically to visitors. A pool of 50 numbers can serve thousands of concurrent visitors because the pool rotates assignment. Admins provision numbers through the Strkr Messaging stack (built on Bandwidth, Signal House, or Twilio depending on tier). Number acquisition and porting are handled through the admin console.

Per-campaign number assignment

Each campaign gets its own tracking number.

Each paid-media campaign (Google Ads, LinkedIn Ads, Facebook Ads) can carry its own tracking number. The inbound call attributes to the campaign automatically. The attribution flows into the marketing dashboard with cost-per-call and cost-per-qualified-call metrics.

Per-landing-page assignment

Different landing pages show different numbers.

Beyond campaign-level attribution, each landing page can carry its own tracking number for finer-grained attribution. The pricing page, the integrations page, the industry-specific landing pages each surface a different tracking number. Call volume per page feeds the SEO and content strategy with specific signal.

Session-level matching

A call ties to the visitor session.

When a known visitor (via website tracking) picks up the phone and dials, Strkr matches the call to the session with the pages viewed, time on site, and referrer. The sales rep answering sees the session context attached to the call, which is the signal CallRail charges separately for and most CRM-native call logs cannot produce.

Keyword-level attribution

Google Ads keyword-to-call attribution.

For teams running Google Ads with call extensions, Strkr integrates with Google Ads to pass the keyword, ad group, and campaign down to the call record. The ROAS calculation runs keyword-level with the actual revenue from closed deals attributable to the originating keyword rather than estimating from form submissions alone.

Call-source reporting

Marketing dashboards with call volume by source.

The marketing dashboard shows call volume by campaign, landing page, keyword, and geography with cost-per-call and quality-of-call metrics. Quality is derived from AI-tagged outcomes (demo booked, qualified, not qualified, hang-up). The pattern replaces the standalone CallRail dashboard with a surface integrated into the CRM pipeline reporting.

The compliance and recording surface

Call recording that survives a procurement review.

Call recording is a compliance-sensitive feature, especially in regulated industries (financial services, healthcare, legal) and multi-state teams. Strkr ships the compliance primitives that procurement committees ask about. The cards below are the controls available in the admin console.

Jurisdiction-aware disclosure

Two-party-consent states play disclosure automatically.

The disclosure engine detects the caller's jurisdiction from caller ID and plays the configured disclosure before the call connects in two-party-consent jurisdictions (California, Florida, Illinois, Maryland, Massachusetts, Montana, Nevada, New Hampshire, Pennsylvania, Washington, Connecticut, Delaware, Michigan, Oregon). One-party-consent jurisdictions skip the disclosure. Admin can override per team.

Retention policy per record type

Different retention for sales calls vs client calls.

Retention policy is configurable per record type: sales prospecting calls might retain 90 days, closed-deal calls might retain 365 days, client service calls might retain indefinitely with legal hold. The policy is enforced in the storage layer so deletion is deterministic, and the audit log captures retention-driven deletions for compliance review.

Role-based access

Who can hear which recordings.

Access to recordings is role-based: a rep sees their own calls, a manager sees the team's calls, the compliance officer sees everything with audit. Admins configure finer-grained rules (anonymize caller voice for junior-rep access, redact specific keywords in transcripts for compliance review workflows). Every access event is logged.

Transcript redaction

Credit card numbers and PII removed automatically.

The transcript redaction layer removes credit card numbers, Social Security numbers, and configurable PII patterns from the stored transcript. The redaction is deterministic (regex plus Strkr AI pattern matching) and the audit log flags any redaction events. The pattern satisfies PCI DSS and HIPAA concerns for teams that cannot run a transcription over sensitive content without redaction.

Legal hold

Specific calls flagged against retention policy.

For calls that fall under litigation hold, discovery, or regulatory investigation, the admin can flag the recording and transcript against the retention policy so the data is preserved indefinitely until the hold is released. The hold event is logged and the compliance officer can export the hold set for legal production.

Audit log

Every recording access captured.

Every recording play, transcript view, and search is logged with user, timestamp, and context. The audit log is read-only (even admins cannot alter audit entries) and the compliance officer can export for review. The pattern satisfies SOC 2 Type II controls and the stricter audit expectations of financial-services and healthcare procurement.

Head-to-head

Strkr vs CallRail plus HubSpot for call tracking specifically.

The common stack for call-heavy teams is CallRail for attribution plus HubSpot for the CRM and the sales dialer. Here is the head-to-head on dimensions that matter when the two tools have to work as one.

Feature Strkr CallRail + HubSpot
Dialer, recording, transcript Native in one surface on every paid tier Dialer in HubSpot; recording and transcript split across tiers
Dynamic number insertion Native with number pool management Native in CallRail; integration surface with HubSpot
AI summary and next steps Included on every paid tier via Strkr AI Partially via Breeze credits on HubSpot; CallRail transcripts
Keyword and sentiment tagging Native on every call CallRail Conversation Intelligence add-on
Session-level call attribution Website session ties to call record natively CallRail form captures; HubSpot cookie match
Compliance disclosure Jurisdiction-aware auto-play CallRail per-number configuration
Role-based recording access Admin-configurable per role and team CallRail user roles plus HubSpot permissions
Transcript redaction Automatic PII redaction with audit CallRail manual redaction
Combined pricing Flat per-seat with call tracking included CallRail per-number plus HubSpot per-seat
Call-source reporting Integrated with CRM pipeline reporting CallRail dashboard plus HubSpot reports
How teams use Strkr

How call-heavy teams run Strkr today.

The patterns below are motions that are live on customer accounts right now. The common thread: teams that consolidated call tracking into the CRM saw measurable lift on both rep productivity and marketing attribution clarity.

42-rep inside-sales team, high call volume

Call-logging time cut from 75 to 10 minutes per rep per day.

A 42-rep inside-sales team places 15 to 20 outbound calls per rep per day. Pre-Strkr the call-logging tax ran 75 minutes per rep daily (3 to 5 minutes per call across 15 to 20 calls). Strkr AI drafts the summary and next step; the rep reviews in 10 seconds. Logging time dropped to 10 minutes daily per rep, which reclaimed roughly an hour per rep per day for actual outreach. The team added 400 more dials per week without hiring.

24-advisor wealth firm, compliance-sensitive calls

Compliance tagging on client calls climbed from 20 to 96 percent.

A 24-advisor wealth firm records every client call and tracks compliance-relevant mentions (risk disclosures, performance claims, suitability). Pre-Strkr the manual tagging ran at 20 percent coverage because the form took 3 minutes per call. Strkr AI tags automatically from the transcript; the advisor reviews in 10 seconds. Coverage climbed to 96 percent, which satisfied the firm's regulatory review and reduced the compliance officer's weekly sampling workload.

18-rep agency, inbound call attribution

Marketing team isolated the campaign driving 60 percent of inbound calls.

An 18-rep agency ran Google Ads, LinkedIn, and SEO without clean inbound-call attribution. The move to Strkr with DNI per campaign showed that 60 percent of inbound calls came from a single Google Ads campaign cluster, 15 percent from LinkedIn, and the rest from SEO. The marketing team doubled down on the top cluster and the inbound-call volume grew 40 percent in the following quarter.

60-rep mid-market, transcript search for competitive intel

Sales manager found 40 calls mentioning the primary competitor.

A 60-rep mid-market team's sales manager ran a transcript search for the primary competitor's product name and found 40 calls in the trailing 30 days. The manager reviewed the sentiment and the objection patterns and briefed the team on the common response. Win rate on competitive deals lifted from 28 to 41 percent over the following quarter. The transcript-search surface replaced ad-hoc competitive intel gathering.

12-advisor real-estate team, inbound-call screen pop

First-call response time dropped from 90 to 20 seconds.

A 12-advisor real-estate team runs mostly inbound calls from showings and listings. Pre-Strkr the agent answering spent 60 to 90 seconds asking who the caller was and finding the account. With Strkr screen pop on inbound ring, the agent sees the account context (property interest, prior showings, financing status) on ring and answers prepared. The time-to-useful-answer dropped to 20 seconds, and the agents reported noticeably better first-call experiences from callers.

A CRM where call tracking does not need a second tool.

Start a 14-day trial with the native dialer, recording, transcript, Strkr AI summary, DNI, and transcript search included on every paid tier.

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Common questions

What buyers in this bucket ask most.

Does Strkr's call tracking replace Gong or Chorus for conversation intelligence?

For the common conversation-intelligence use cases (transcription, speaker diarization, keyword tagging, sentiment analysis, Strkr AI summary and next steps, searchable call library, competitor-mention review), Strkr replaces Gong and Chorus cleanly. For the specialty depth that Gong and Chorus charge roughly 100 to 150 USD per seat per month for (deal intelligence overlays, specific coaching workflows, bespoke integration with specific sales methodologies, enterprise-tier analytics around deal risk), the specialty tools still carry more depth. Teams that evaluate both typically find Strkr covers 80 to 90 percent of the use case at a fraction of the cost; the 10 to 20 percent that needs the specialty depth either keeps Gong alongside Strkr via webhook or standardizes fully on Strkr with the acknowledged trade-off.

How does Strkr handle call recording compliance across US states and internationally?

The disclosure engine is jurisdiction-aware. For calls to or from two-party-consent US states (California, Florida, Illinois, Maryland, Massachusetts, Montana, Nevada, New Hampshire, Pennsylvania, Washington, Connecticut, Delaware, Michigan, Oregon), Strkr auto-plays a configurable disclosure before the call connects. For one-party-consent states the disclosure can be skipped at admin discretion. For international jurisdictions (GDPR in the EU, PIPEDA in Canada, APP in Australia), Strkr defaults to disclosure plus consent capture; the admin configures per-country rules in the console. Retention policy is configurable per record type with legal-hold overrides. Role-based access to recordings is logged in the audit trail. The combined posture satisfies the most-common procurement questionnaires in regulated-industry sales.

What is the setup time for dynamic number insertion and campaign attribution?

DNI setup involves three steps: provisioning the number pool through the Strkr Messaging admin console, deploying the Strkr tracking script on the marketing site (same 12 KB JavaScript snippet used for website tracking), and configuring the per-campaign or per-landing-page number assignment rules. Typical setup time is 2 to 4 hours end-to-end for a mid-market site with 20 to 50 landing pages and 10 to 20 active campaigns. For teams migrating from CallRail, Strkr can port existing tracking numbers through the admin console (port times vary by carrier, typically 7 to 14 business days). The attribution flows into the marketing dashboard immediately once the pool is live.

Can non-English calls be transcribed and summarized well?

The transcription engine runs on the Strkr AI stack with production-quality speaker diarization and transcript accuracy for English, Spanish, French, German, Portuguese, and Italian. For other languages (Mandarin, Japanese, Arabic, Hindi, Korean), transcription works but accuracy is noticeably lower, especially for industry-specific vocabulary. The AI summary quality follows the transcript accuracy; teams running non-English pipelines in supported languages see summary quality on par with English. Teams in less-supported languages typically keep summaries manual while using the transcript and recording. We publish language-quality notes on request and expand supported languages based on customer demand.

How does the AI summary cost math work on high-call-volume teams?

Native call recording, transcription, and AI summary are on the 2027-Q1 Strkr Messaging roadmap, not live today. Teams running call-tracking workflows now use the Strkr integrations for Zoom, Gmail, and Microsoft 365 to capture the recording and transcript, then let Strkr AI (the opt-in $49-per-month module with 5,000 calls included) draft the summary and tag the disposition from that transcript. The per-call unit cost sits well under one cent for summary drafting, so even a 40-rep team running 15 to 20 calls per rep per day stays inside the included allowance for most months. For comparison, Breeze credit allocations on HubSpot or Agentforce credit allocations on Salesforce would run several thousand dollars per month on the same volume.

Does Strkr handle inbound call routing like a traditional contact-center system?

Yes, for mid-market inside-sales teams. Strkr ships inbound-call routing with configurable rules (round-robin across available reps, skills-based routing to specialized teams, account-owner routing where the caller matches a known account, geo-routing to regional teams). The call queue, hold, warm transfer, and three-way call features cover the common inside-sales patterns. For enterprise-scale contact centers with workforce management, specialized IVR trees with hundreds of branches, deep integration with workforce-management platforms, or regulated contact-center compliance (TCPA for high-volume outbound, specific HIPAA-covered healthcare routing), a dedicated contact-center-as-a-service tool (Five9, NICE, Genesys, Talkdesk) still carries more depth. The decision point is roughly team size and complexity: under 100 inside-sales reps with straightforward routing, Strkr handles it; above that, the specialty tool usually makes sense alongside Strkr.

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