Built for cold calling teams

Cold calling software that lives inside the CRM so every call becomes a working deal.

Cold calling software splits across three categories: dialers (Aircall, Dialpad, OpenPhone), parallel dialers (Orum, Nooks), and conversation intelligence overlays (Gong). Strkr ships the dialer, the recording, the AI transcription, and the pipeline logging as native capability.

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What this audience is actually dealing with

The pains that bring buyers here.

Cold calling software looks like a mature category on the surface and is actually a mess of fragmented tool shapes in practice. The traditional dialer (Aircall, Dialpad, RingCentral) provides outbound calling with CRM integration via API sync. The parallel dialer (Orum, Nooks, Koncert) runs multiple simultaneous dials to boost connect rates. The conversation intelligence overlay (Gong, Chorus) records and analyzes calls. Each tool is capable individually, and together they produce the familiar fragmentation: the dialer in one browser tab, the CRM in another, the conversation intelligence feedback coming through yet another system two days later. SDRs cold calling 60 to 150 times a day spend significant time on the context switching between tools, with specific attention to the "which deal was this call about" problem that fragments across the surfaces. Marcus running SDR ops at a 30-SDR outbound team wants the dialer and the CRM to be one thing so the SDR can call, log, and advance the deal in a single flow. The pain points below are the specific friction patterns the outbound ops lead sees before switching to a unified cold-calling-plus-CRM surface like Strkr.

The context-switch tax

Dialer in one tab, CRM in another, 150 calls a day.

A traditional cold calling setup has the dialer in one browser tab and the CRM in another. The SDR dials, has the call, writes notes in the CRM tab, logs the disposition in the dialer tab, and moves to the next call. The context switch costs 10 to 20 seconds per call. Across 100 calls a day, the aggregate cost is 15 to 30 minutes of real productive time. Strkr runs the dialer inside the CRM so the SDR calls from the deal record and the disposition logs directly.

Local presence that burns numbers

The spam-flagged outbound number kills answer rates.

Local-presence dialing (where the outbound number appears local to the recipient) drives higher answer rates but burns numbers quickly as recipients mark them as spam. Teams that rotate across pools of outbound numbers need the carrier infrastructure to manage the rotation, the spam-flag detection, and the number retirement. Strkr ships local-presence with native number pool management, spam-flag monitoring, and automatic number retirement before the number degrades.

Disposition logging as busywork

The 2-minute post-call cleanup after every call.

After each call, the SDR logs the disposition (connected, voicemail, no answer, bad number, interested, not interested, callback requested), the next step, and the specific notes. This post-call cleanup takes 1 to 2 minutes per call. Across 100 calls a day, that is 2 to 3 hours of pure administrative overhead. Strkr's AI transcription auto-generates the disposition suggestion, the summary, and the next-step recommendation so the SDR confirms with one click.

Conversation intelligence lives elsewhere

Gong records; the SDR sees the feedback 48 hours later.

Conversation intelligence tools (Gong, Chorus) record calls and produce coaching insights 24 to 48 hours after the call. The SDR gets the feedback long after the specific call context is fresh. Strkr's native call analysis runs within 60 seconds of call-end so the SDR sees the AI-generated coaching feedback (talk-to-listen ratio, specific objection handling, next-best-action suggestion) immediately after the call while the context is still fresh.

TCPA compliance surface

Every outbound call has consent, DNC, and timezone checks.

US outbound calling runs under TCPA which requires specific consent for autodialed and prerecorded calls, DNC registry suppression, Reassigned Numbers Database checks, and calling-hour restrictions (8am to 9pm local time). Managing the compliance surface across a dialer tool and a CRM is error-prone. Strkr's pre-call checks run natively against the unified data layer so every outbound call clears consent, DNC, RND, and timezone before the dial fires.

Parallel dialing without the stack

Orum connects faster; Orum requires its own subscription.

Parallel dialers (Orum, Nooks, Koncert) run multiple simultaneous dials and connect the SDR only when a human answers, which boosts connect rates significantly. The feature typically requires a separate subscription at 70 to 120 per SDR per month on top of the dialer and CRM. Strkr ships parallel dialing as a native mode in the dialer with the same connect-rate benefit at no additional subscription.

What the cold calling surface ships

Dialer, recording, transcription, logging native.

Strkr's cold calling surface runs nine capabilities inside the CRM that collectively replace the dialer-plus-conversation-intelligence-plus-CRM stack. The cards below walk each capability.

Native dialer

Click-to-call from any contact or deal record.

The dialer lives inside the CRM record view. The SDR clicks the phone number on a contact or deal and the dialer initiates the call. The deal context (prior notes, previous call summaries, deal stage, next step) displays alongside the call surface so the SDR has full context before the connection. No separate dialer app or browser tab.

Local-presence routing

Outbound number matches the recipient's area code.

The dialer automatically selects an outbound number with an area code matching the recipient to boost answer rates. The native number pool manages across area codes, with specific attention to major metro areas where high-volume outbound happens. Spam-flag monitoring detects when a number degrades (recipients marking as spam, carrier flagging) and retires the number from the active pool before the degradation hurts the team's broader deliverability.

Parallel dialing mode

Three simultaneous dials, one connected conversation.

Parallel dialing mode runs 2 to 4 simultaneous dials with the SDR only engaging on the specific line that connects to a human. The specific operational benefit: an SDR who typically connects to 4 to 6 prospects per hour on single-dial can connect to 10 to 16 per hour on parallel dial. Native parallel dialing eliminates the Orum or Nooks subscription for teams that want the connect-rate boost.

Call recording

Every call records with specific consent handling.

Calls record automatically on tenant-configured rules (recording required for compliance, optional for coaching, opt-out available for specific recipient preferences). State-level recording consent rules (two-party consent states like California, Florida, Illinois) enforce automatically based on the recipient's state detected from the phone number. The recording retains on the call record with the specific compliance metadata.

Live AI transcription

The transcript shows during the call.

AI transcription runs live during the call with the transcript visible to the SDR as the conversation unfolds. The SDR can reference specific prior-prospect-statements without rewinding. Speaker separation runs natively so the transcript attributes correctly to the SDR and the prospect. The transcript persists after the call for coaching review, pattern analysis, and specific-moment search.

Auto-disposition

The AI suggests the disposition from the call.

Within 30 seconds of call-end, the AI analyzes the transcript and suggests the appropriate disposition (connected to decision maker, voicemail, no answer, bad number, interested with next step, not interested, callback requested) with the specific reasoning cited. The SDR confirms or adjusts with one click. The 2-minute post-call cleanup collapses to under 10 seconds.

Call-coaching feedback

Real-time patterns surface after each call.

Post-call analysis runs within 60 seconds and surfaces specific coaching signals: talk-to-listen ratio (over the target 40/60 means the SDR dominated), filler-word usage, specific objection patterns handled, next-step commitment captured, specific moments where the pitch was strong or weak. The SDR sees the feedback while the call context is fresh instead of 48 hours later.

TCPA compliance pre-check

Every dial clears nine gates before firing.

Pre-call checks run against the unified data layer: business-level DND flag, National Do Not Call Registry suppression, Reassigned Numbers Database reassignment check, consent state for voice (live-agent, autodialed, prerecorded), timezone-based calling-hour enforcement (8am to 9pm local), line-type validity (not disconnected), carrier verification freshness, tenant-level pause flag, duplicate-contact cooldown. Any gate failing suppresses the dial with the specific reason logged.

Voicemail drop

Prerecorded VM leaves without the SDR speaking.

When the call hits voicemail, the SDR can drop a prerecorded voicemail with one click rather than leaving a live message. The specific operational benefit: 90 seconds of VM recording time per call collapse to 2 seconds. For a 150-call day with 70 percent VM rate, the aggregate time saving is 2.6 hours. VM drop respects TCPA (prerecorded voice has specific consent requirements) and only fires on contacts with the appropriate consent state.

What distinguishes native from stitched

Operational benefits versus the dialer-plus-CRM-plus-Gong stack.

The specific case for a unified cold calling surface rests on measurable operational benefits. The six cards below detail the advantages customers describe.

Calls-per-day lift

SDRs run 30 to 50 percent more conversations.

The combination of context-switch elimination, auto-disposition, voicemail drop, and parallel dialing typically produces 30 to 50 percent lift in SDR daily productive capacity. An SDR running 70 calls per day on a traditional stack typically runs 100 to 110 calls per day on Strkr's unified surface. The additional capacity converts directly to more pipeline conversations if the ICP targeting holds steady.

Coaching immediacy

The feedback arrives while the call is fresh.

Real-time call analysis within 60 seconds of call-end means the SDR acts on the specific coaching feedback while the call context is still fresh in memory. Compared to the 24-to-48-hour feedback loop of traditional conversation intelligence, the immediacy drives faster skill improvement. SDRs with real-time feedback typically show measurable improvement in talk-to-listen ratio and objection handling within 2 to 4 weeks.

Compliance confidence

Every call clears TCPA before the dial fires.

The pre-call compliance check runs automatically against the unified data layer so the SDR never has to think about whether the dial is TCPA-safe. The compliance confidence is operational insurance against the specific category of TCPA settlements that typically run six to seven figures when a records request lands on a non-compliant outbound program.

Deal context visible

Every call starts with the full deal story.

The dialer surface displays the deal record alongside the call: prior notes, previous call summaries, deal stage, decision-maker map, specific objections raised in past calls, next-step history. The SDR starts every call with the full story instead of flipping to another tab to recall context. First-call quality improves because the SDR is prepared and later-call quality improves because the prior-call context informs the follow-up.

Cost consolidation

One tool replaces dialer plus parallel plus intelligence.

A typical cold calling stack: dialer (Aircall at 30 per seat per month, OpenPhone at 25, Dialpad at 45), parallel dialer (Orum at 90 per SDR), conversation intelligence (Gong at 100 to 180 per seat), CRM integration add-ons where applicable. The all-in cost for a 20-SDR team typically lands 85K to 150K annually. Strkr's unified surface is included in the per-seat CRM price with no separate cold-calling SKU.

Admin consolidation

One tool, one admin, one quarterly review.

Running cold calling across three tools means three admin surfaces, three user-management systems, three sets of integration health checks, three quarterly feature-release cycles to track. The native approach collapses the admin burden. The RevOps lead reclaims specific time on the cold calling stack maintenance that compounds across the year.

How cold calling motions run day-to-day

Specific SDR rhythms and the dialer in each.

Cold calling supports specific daily rhythms. The seven cards below describe each motion with the specific dialer-surface interaction.

Morning power hour

The SDR runs the first-dial wave on fresh prospects.

Each morning the SDR runs a power hour on the day's fresh prospect list. Parallel dialing mode fires 3 simultaneous dials with the SDR connected only on human-answered calls. The first-dial wave covers 60 to 80 prospects in 60 minutes with 10 to 15 live conversations expected. The AI-generated call-prep notes surface on each conversation so the opener is tuned to the specific prospect context.

Mid-morning follow-up

The SDR works callbacks and warm follow-ups.

Mid-morning the SDR shifts from fresh-prospect dialing to callback management and warm follow-ups. The SDR works the queue of specific-time-scheduled callbacks (prospects who asked for a specific time), the queue of recent VM-left callbacks (prospects whose VMs may have triggered a return call), and warm follow-ups on prospects who engaged with content or email in the past 24 to 48 hours.

Afternoon multi-touch

The SDR integrates call with email and SMS touches.

Afternoon motions mix calls with email and SMS touches on the same prospects. A prospect who did not answer the morning call gets a tailored email in the early afternoon. A prospect who connected briefly in the morning gets a follow-up SMS. The dialer surface, email composer, and SMS sender all live in the same CRM record so the SDR runs the multi-touch cadence without switching contexts.

End-of-day disposition cleanup

The AI-suggested dispositions clear in 10 minutes.

At end of day the SDR reviews the day's auto-disposition suggestions, confirms the AI classifications, and sets next-steps on specific prospects that need manual attention. On a 100-call day the review typically takes 10 to 15 minutes instead of the hour or more that manual disposition logging requires. The cleanup leaves the pipeline in a clean state for the next morning.

Weekly coaching review

The SDR lead walks specific calls with specific feedback.

Once a week the SDR manager runs 30 to 45-minute coaching reviews with each SDR. The review walks 3 to 5 specific calls selected either by the manager or by the AI (specific moments where the SDR handled an objection well, specific moments where the SDR missed a signal, specific pattern changes across the week). The call recordings, transcripts, and AI analysis sit in the same CRM so the review runs on complete context.

Pattern tuning on templates

The specific objection handler moves into the template library.

When an SDR develops a specific technique for handling a common objection, the SDR manager promotes the technique into the team's template library. The template surfaces to other SDRs during similar calls (the live transcript detecting the objection pattern surfaces the suggested handling). The pattern-sharing motion runs across the team instead of in individual silos.

Monthly performance review

SDR metrics anchor on connect rate, conversation rate, meeting rate.

Monthly reviews anchor on specific metrics: connect rate (dials to live conversations), conversation rate (live conversations to productive discussions), meeting rate (productive discussions to meetings booked), and show rate (meetings booked to attended). The metrics compute from the native call data so the review runs on reliable data instead of SDR self-reporting. Specific SDR trends over multiple months inform coaching priorities and performance management decisions.

Head-to-head

Strkr cold calling vs the dialer-plus-Gong stack.

The common comparison is a traditional dialer (Aircall, Dialpad, OpenPhone) plus a parallel dialer (Orum, Nooks) plus conversation intelligence (Gong, Chorus) plus the CRM. The honest comparison for a 20-SDR team looks like this.

Feature Strkr Dialer + Orum + Gong stack
Vendor count One tool, native dialer in CRM Three to four separate tools
Context switch per call Zero (dialer in CRM record) 10-20 seconds per call
Parallel dialing Native mode included Separate Orum/Nooks subscription
AI transcription Live during call Post-call via Gong
Coaching feedback latency Under 60 seconds post-call 24 to 48 hours typical
Auto-disposition AI-suggested with one-click confirm Manual logging per call
TCPA pre-check Native 9-gate suppression Vendor-specific, often incomplete
Local presence pool management Native with spam-flag monitoring Dialer-specific, varies
Voicemail drop Native with TCPA consent check Dialer feature, varies
Monthly cost at 20-SDR scale Flat per-seat, included in paid tier 85K to 150K annually across stack
How teams use Strkr

How cold calling teams run Strkr today.

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

18-SDR B2B SaaS team

Daily call volume climbed 42 percent in first month.

An 18-SDR B2B SaaS team migrated from an Aircall-plus-Gong-plus-Salesforce stack to Strkr's unified cold calling surface. Daily call volume per SDR climbed from 68 average to 97 average in the first month, driven by context-switch elimination, auto-disposition, and parallel dialing. The additional call capacity converted to roughly 11 percent more conversations and 8 percent more meetings booked, which directly impacted the pipeline-created metric that the SDR team is measured on.

Mid-market SaaS, 32 SDRs

Orum and Gong consolidation saved 125K annually.

A 32-SDR outbound team retired Orum (90 per SDR per month) and Gong (115 per SDR per month) after validating the equivalent capability inside Strkr. Annual stack savings landed at 125K after accounting for the specific Strkr tier adjustment. The SDR team specifically commented that the coaching feedback immediacy was a meaningful improvement over the 48-hour Gong feedback loop that had made real-time coaching intervention operationally difficult.

Fintech, 24 SDRs

TCPA pre-checks prevented a six-figure settlement exposure.

A fintech outbound team received a TCPA plaintiff's records request on a specific prospect. The traditional stack (dialer plus CRM plus consent management) would have required reconstructing the pre-call compliance state from multiple logs. On Strkr's unified pre-call-check logging, the compliance evidence pulled in under an hour with the specific DNC check, consent snapshot, timezone validation, and RND reassignment check all retained from the specific call attempt. The estimated settlement exposure (based on comparable cases in the segment) was around 240K; the pre-call-check evidence demonstrated compliance and the case closed without settlement.

Enterprise SDR org, 85 reps

Weekly coaching cadence tightened on real-time feedback.

An 85-rep enterprise SDR organization running weekly coaching had been operating on 48-hour-delayed Gong feedback with limited impact on specific-SDR skill improvement. After migrating to Strkr's real-time call analysis, SDRs received coaching feedback within 60 seconds of call-end. The weekly coaching session evolved from "review specific calls" to "review patterns across the week based on signals the SDR already acted on." The specific SDR-skill-improvement metric (measured by independent call-review scoring) improved roughly 23 percent across the team over the following quarter.

B2B services firm, 14 SDRs

Parallel dialing lifted conversations per hour 2.3x.

A 14-SDR B2B services firm had been running single-dial outbound at 4 to 6 live conversations per hour. Enabling Strkr's native parallel dialing with 3 simultaneous dials lifted conversations per hour to 10 to 14 average. The specific operational benefit was that the SDRs could complete the day's outbound-conversation target in roughly 4 to 5 hours instead of 7 to 8, which freed afternoon time for specific-prospect research, email handling, and deal-progression work on previously-booked opportunities.

Cold calling software that lives inside the CRM with everything on one surface.

Start a 14-day trial on Strkr with the cold calling surface enabled: native dialer in the CRM record, local-presence number pool, native parallel dialing, live AI transcription, auto-disposition, real-time coaching feedback, TCPA pre-check nine-gate suppression, voicemail drop, call recording with retention compliance. Replaces Aircall, Orum, and Gong.

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Common questions

What buyers in this bucket ask most.

How does Strkr's native dialer compare to Aircall or Dialpad?

Strkr's dialer carries the core outbound-calling capability (click-to-call, inbound routing, call recording, voicemail drop, call analytics) that Aircall and Dialpad ship, with specific additions tuned to the cold calling motion: native parallel dialing (which Aircall and Dialpad do not ship), live AI transcription with speaker separation (which Dialpad has in a premium tier and Aircall does not ship), auto-disposition with AI-suggested classification (not available in traditional dialers), real-time coaching feedback within 60 seconds post-call, native TCPA pre-check against the unified data layer, local-presence pool management with spam-flag monitoring and automatic number retirement. For teams whose primary need is call center operations (inbound customer service, call-routing complexity, IVR management, specific contact-center features), Aircall or Dialpad or specialist contact-center platforms may still be the right pick because their call-center feature depth exceeds Strkr's outbound-first focus. For teams whose primary motion is cold calling and outbound sales, Strkr's dialer typically covers the full need without a separate dialer subscription.

How does the parallel dialing mode work?

Parallel dialing runs 2 to 4 simultaneous outbound dials with the SDR engaged only on the specific line that connects to a human. The dial-rate configuration determines how many simultaneous dials fire (typically 3 is the common sweet spot; higher ratios boost connect rates but increase the number of hang-ups when the SDR cannot answer every connect). When a prospect answers, the SDR hears "connecting" with a brief 2-second buffer that lets the SDR context-load the specific prospect before engaging. The other simultaneous dials drop automatically on the first-answered connect. The specific operational benefit is that an SDR who typically connects to 4 to 6 prospects per hour on single-dial can connect to 10 to 16 per hour on parallel dial, which boosts total conversation volume without extending the working day. The feature respects TCPA (parallel dialing is permissible when the subsequent calls terminate immediately upon the first connect, and when the dialer does not play recorded content without appropriate consent). Teams in states with specific calling restrictions can configure the parallel ratio per state or disable parallel dialing for specific jurisdictions. The native implementation eliminates the Orum, Nooks, or Koncert subscription that typically runs 70 to 120 per SDR per month.

What does the AI transcription cover and when does the data retain?

Live AI transcription runs during the call with the transcript visible to the SDR in real time. Speaker separation attributes utterances to the SDR and the prospect correctly across most call patterns (standard-quality cellular and VoIP calls; the specific edge cases like three-way calls or very-poor-audio-quality calls may have reduced accuracy). The transcript persists after the call on the call record with specific attention to retention compliance. Standard retention is 90 days for the full transcript with option to extend based on tenant configuration. Call recordings retain separately with their own retention schedule (default 1 year, configurable up to the TCPA 4-year retention window for compliance-sensitive tenants). For teams in regulated industries (financial services under FINRA 17a-4, healthcare under HIPAA), the retention configuration applies the longer regulatory window automatically. Transcripts are tenant-scoped and never used for cross-tenant AI training; the AI inference runs on the specific transcript at analysis time and does not persist the specific content outside the tenant. Access to transcripts respects the tenant's permission model so an SDR cannot read transcripts from calls they were not part of unless they have specific manager-level permission.

How does Strkr handle TCPA compliance for autodialed and prerecorded calls?

TCPA compliance for autodialed and prerecorded voice calls has specific requirements that Strkr enforces natively. Autodialed calls (where the system dials automatically and connects to a live agent) require express consent for cell phones but not for landlines; Strkr's line-type verification distinguishes mobile from landline and enforces the appropriate consent check. Prerecorded voice calls (voicemail drops, prerecorded message calls) require express prior written consent for marketing content and have more flexibility for transactional or informational content; Strkr's voicemail drop feature checks the specific consent category before firing. The National Do Not Call Registry check runs against every outbound dial with weekly data refresh. The Reassigned Numbers Database check runs weekly to identify numbers that have been reassigned since the last known-good consent date; reassigned numbers suppress from autodialed and prerecorded outbound until fresh consent captures. Calling hours enforce the TCPA 8am-9pm local time restriction based on timezone derived from the recipient's phone number. State-level additions (Washington's stricter consent requirements, Florida's specific telemarketing registration, Oklahoma's state DNC additions) apply automatically for recipients in those states. The pre-call compliance check runs nine gates for every outbound dial attempt with the specific suppression reason logged for any dial that cannot fire. The 4-year TCPA audit log retains the full compliance evidence for defensive response to records requests. For teams with specific compliance questions (industry-specific requirements, specific state-level questions), the compliance team at Strkr publishes the full TCPA posture in the trust center with specific documentation.

Can the dialer integrate with our existing phone system or does it replace it?

The dialer can either replace an existing phone system or integrate with specific existing infrastructure depending on the team's needs. The replacement pattern applies for teams whose current phone usage is purely outbound sales (dialer-based cold calling) where Strkr's native dialer handles the full need without a separate phone system. The integration pattern applies for teams with existing phone infrastructure that handles broader needs (customer service inbound, specific routing requirements, specific IVR configurations, specific-vendor contract commitments). In the integration pattern, Strkr's dialer can bridge to an existing SIP-based phone system (common vendors like RingCentral, 8x8, Vonage, Cisco Webex Calling), route outbound through the existing carrier infrastructure, and keep the call-recording-and-analysis layer in Strkr. The specific technical configuration (SIP trunk setup, DID assignment, outbound routing rules) runs during migration with specific vendor-side support. Teams with contact-center requirements beyond outbound sales (significant inbound call-handling volume, specific contact-center features like call-queue management, agent-availability routing, specific SLA tracking) typically keep their contact-center platform and use Strkr's dialer specifically for the outbound sales motion while the contact-center platform handles inbound. The split-model works cleanly because Strkr's dialer and the contact-center platform operate on different call types without conflicting.

What does the SDR productivity measurement look like on Strkr?

Strkr tracks SDR productivity metrics natively across the full outbound motion. Call-volume metrics: dials per day, dials per hour (active calling time), parallel-mode dial count, pickup rate (dials to answered), connect rate (dials to live human conversation), callback-honor rate (callbacks SDR committed to that actually happened). Conversation-quality metrics: average call duration on connected calls, talk-to-listen ratio (SDR vs prospect), filler-word usage per minute, specific-objection-handling patterns (did the SDR address common objections in the opening), next-step-commitment capture rate (did the SDR secure a specific next step before closing). Pipeline-impact metrics: meetings booked per day, meeting-show rate (meetings that actually happened), meeting-to-opportunity conversion (meetings that produced qualified opportunities), opportunity-to-closed-won contribution (specific SDR's sourced opportunities that eventually closed). Coaching-receptivity metrics: specific-coaching-recommendation acceptance (did the SDR adjust specific behaviors post-coaching), week-over-week improvement patterns on specific metrics. The metrics compute from the native call-and-pipeline data without requiring SDR self-reporting, which eliminates the specific friction of SDRs under-reporting activity or over-reporting conversations. The SDR manager sees the full picture on a per-SDR dashboard with trends over 30-day, 90-day, and quarter-level windows. Benchmark comparisons across the team identify specific-SDR performance patterns and specific coaching opportunities.

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