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B2B cold calling · appointment setting · outsourced SDR teams

Cold calling analytics and QA — stop managing calls one recording at a time.

Your agents dial all day inside your CRM. You still can’t see what happens inside the calls—so coaching comes late, compliance is hope, and “didn’t convert” is the only funnel stage you know. Ender Turing listens to and analyzes every call and shows you what turns a dial into a booked meeting: which stage loses conversations, which calls converted, who needs coaching, and the proof.

Client A · outbound campaign · this week Every call scored
Dials
1,240
Conversations
318
Past gatekeeper
121
Decision-maker reached
54
Meetings set
17
Required line · Recording disclosure96% said · 12 calls flagged
Coaching queue3 agents · 9 exact moments

Example funnel—illustrative numbers, not customer data.

The original problem

You record every call. You still can’t see inside them.

One cold-calling agency—running appointment-setting campaigns for several clients from their CRM’s dialer—came to Ender Turing with exactly this list. If it sounds like your floor, keep reading.

You can’t even know what’s inside the calls.

Thousands of recordings sit in the CRM. Nobody can listen to more than a handful.

Coaching is a manager listening—days after the call.

Feedback arrives late, from memory, without the example that would make it land.

You can’t check compliance.

Did the agent say the recorded-call line? The mandatory opening? You hope so.

You don’t know where the funnel breaks.

Gatekeeper? No need? Never reached the decision-maker? Every lost call looks the same in the CRM.

So meetings stay flat—and nobody can say why.

Several clients, several campaigns, dozens of agents—and one report built by hand, from a sample, a week late. The number that matters, meetings set, moves, and you can’t tell what moved it.

What changed

See inside every call. Then manage from what you see.

Ender Turing transcribes and scores every outbound call automatically, on top of your CRM or dialer—agents keep dialing exactly as before. Here is what changes for the manager.

Before

Listening to a sample of calls, days later.

After

Every call analyzed and scored.

Managers start from the finding, not the recording.

Before

Coaching from memory.

After

Coaching from the calls that converted.

Put the calls that booked a meeting next to the ones that didn’t—same agent, same list—and coach the difference from the exact transcript line and the audio behind it. See conversations ↗

Before

Compliance by hope.

After

Required lines checked on every call.

Recording disclosure, consent, mandatory opening—with a per-call adherence score and the evidence. See Compliance Rules ↗

Before

“Didn’t convert.”

After

Your funnel, your stages.

Gatekeeper, no need, decision-maker reached, meeting set. See which stage eats the most conversations—by agent and by client—and fix that one first. See Topics ↗

Before

One report built by hand.

After

One view for every client, campaign, team and agent.

Filter by client, campaign, team, agent or topic—and walk each client through their own numbers: conversations, decision-makers reached, meetings set.

You define the stages and the required lines. Ender Turing does the listening and the analysis.

Nothing to rip out

Runs on top of your CRM or dialer.

CRM

Your CRM’s dialer

Where your CRM records the calls, Ender Turing captures both sides through a read-only connection and a browser extension on the agent’s workstation — agents change nothing. GoHighLevel has a dedicated page and guide.

API

Other platforms

Genesys and Five9 have documented connectors; browser-based calling on 18 platforms — RingCentral, Dialpad, Aircall, 8x8, Salesforce and more — is captured directly by the WebRTC call recorder. Any other system hands over recordings through an app, API, SFTP or upload—and those calls are analyzed alongside the rest.

QA

Your scorecards

Bring the quality criteria and required lines you already use. Configure them once; every call is scored against them, and every score links to the moment that earned it.

Post-call analysis: Ender Turing works on top of your stack after each call ends. It is not a dialer or a CRM and does not replace either.

What happened next

Once every call was visible, the next question was obvious.

What about the demos those calls create? The cold calls booked sales demos—run by a different manager, recorded in Fireflies. Two halves of one customer journey, in two tools, seen by two people.

Connecting the meetings to Ender Turing put the calling team, the demo team and management in front of the same journey: cold call → meeting booked → demo → outcome. What the agent says on the call shapes what happens in the demo. Now both are in one place.

  • Fireflies connects through the Ender Turing app and syncs completed meetings.
  • Fathom and other meeting platforms join the same way—through an available app, API, SFTP or upload path; Zoom, Google Meet and Microsoft Teams meetings can also be recorded directly by the Ender Turing browser extension.
  • Same stages, same scorecards, from the first dial to the demo.
One journey, one viewExample structure
Cold callYour CRM or dialer · captured by Ender TuringScored
Meeting bookedFunnel stage on the call that created itVisible
DemoFireflies · Fathom · any meeting platformImported
OutcomeBy agent · campaign · clientFilterable

Illustrative journey view—example labels, not customer data.

The result they were after

Leads and conversion you can see—and move.

The center didn’t buy call analytics. It bought a way to book more meetings from the same dials. Outbound floors don’t run on handle time or CSAT; they run on meetings set and what converts. This is what the board shows every morning.

Meetings set

By agent, campaign and client—from every call, every day.

The number that matters, updated from the calls themselves instead of a report built a week later from a sample.

Conversion by stage

Dials → conversations → past gatekeeper → decision-maker → meeting set.

See which stage loses the most conversations, for which agent and which client, and fix that one first.

The calls that converted

Coach the difference, not the average.

Put the calls that booked a meeting next to the ones that didn’t—same agent, same list—and coach from the exact moment that made the difference.

Demo scheduled → demo held → outcome

Follow the lead past the call.

Once the demo meetings are connected, the same board follows each meeting the floor created into the demo and its outcome.

Under the hood

Cold-calling QA and analytics, by name.

Every promise above is a documented function in the product. Here is what does what — and the guide for each.

1

Stage per call, drop-off per stage

Topics classify each call — by generative AI, rules or a human — into your stages: gatekeeper, no need, decision-maker reached, meeting set. Funnels count the conversion between them and show where calls drop.

2

Required lines, scored on every call

Compliance rules hold the phrases agents must say — recording disclosure, consent, the mandatory opening — and produce a script-adherence score from 0 to 100% per call, filterable on the conversation list.

3

Your criteria, 100% of calls, accuracy you can see

Scorecards carry your quality criteria; AutoQA answers them on every call. The accuracy of every automated point against your reviewers is shown, and the improvement workflow proposes better definitions from those reviews.

4

If this call, then that

Enders (automations) — a call reaches decision-maker → notify the manager; a required line is missing → add the call to a reviewer's TODO; a new campaign → run its scorecard. Alerts arrive in-app and by email.

5

Ask the week a question

Chat with EnderGPT answers "which objections stopped us past the gatekeeper this week?" with citations to the exact calls. Scheduled chats run the same question every Monday, per team or per agent.

6

Coach from the calls that booked

Pin the calls that set a meeting into Playlists, assign them with Training plans and quizzes, and let each agent see their own scores and feedback on My Dashboard.

Per client, per campaign: the Dashboard ↗ filters by client, campaign, team and agent; Charts ↗ and C-Level Boards ↗ build a board per client; Roles ↗ decide who sees which team. Brand, product and agent names are transcribed right with auto-corrections ↗.

Start focused

Built for teams that cold-call for a living — for clients or for themselves.

B2B cold-calling teams: appointment-setting agencies and outsourced SDR shops running campaigns for several clients, and in-house outbound floors. In-house sales floors dialing from their CRM. Any team whose managers need to see the work without listening to all of it.

  • Per-client, per-campaign, per-agent views from the same calls.
  • Required lines and coaching criteria defined once, applied to every call.
  • Any language: English, Spanish, Portuguese, French, German, Arabic, Chinese, Japanese and more in production; others on request.

Not the fit if you are looking for a new dialer or CRM.

Questions before kickoff

Know exactly how it fits.

How can a cold-calling team see why its calls don't convert?

By reading every call, not a sample: Ender Turing classifies each outbound call by the stage it reached — gatekeeper, no need, decision-maker reached, meeting set — checks the required lines, and links every finding to the exact moment in the recording. Managers see which stage loses the most conversations per agent and per client, and coach from the calls that booked meetings next to the ones that didn't.

Is there a free plan?

Yes, and it does not expire: up to 5 agents, 200 calls per agent a month (1,000 calls for five), calls up to 10 minutes — with standard funnel, required-line and coaching templates. Connecting your CRM or dialer takes about 15 minutes. When the floor or the volume grows, Team is $39 per agent per month with no limits, and Business is $79 per agent with advanced analytics and implementation engineers. See pricing.

What does Ender Turing solve first for a cold-calling team?

Visibility into the calls themselves. Instead of opening recordings one by one, managers work from transcripts, funnel stages, required-line checks, quality scores, and the exact conversations behind each finding—across every agent, campaign, and client.

How does this help us book more meetings?

Meetings set is the number on the board; Ender Turing shows what moved it. Every call is scored and classified by funnel stage, so managers see which stage loses the most conversations, by agent and by client. They can put the calls that booked a meeting next to the ones that didn’t—same agent, same list—and coach the difference from the exact transcript moment. Read about Topics and conversation filters.

Does it replace my CRM or dialer?

No. Your CRM stays your CRM and your dialer stays your dialer; agents keep working exactly where they work today. Ender Turing captures each call through a read-only connection — for GoHighLevel, the documented setup uses your Location ID, a read-only Private Integration Token and the Ender Turing browser extension on each agent workstation, which captures both sides of the call in Chrome or Microsoft Edge. Other platforms connect through a documented app, connector, API or upload. GoHighLevel page and extension requirements.

Can managers check whether required call lines were said?

Yes. Compliance Rules let managers define required spoken phrases, including consent statements, disclosures, or mandatory openings. Ender Turing produces a per-call script-adherence score that managers can highlight in transcripts, filter, and report against. Read about Compliance Rules.

Can we structure our own outbound funnel stages?

Yes. Teams configure Topics with generative AI, rules, or human labels, then use those topics across filters, dashboards, charts, and funnels. An outbound team can model stages such as gatekeeper reached, no need, decision-maker reached, or meeting created. Read about Topics.

Which CRMs, dialers and telephony platforms work?

GoHighLevel, Genesys Cloud, Five9, NICE CXone, Talkdesk, Amazon Connect, Zendesk and Fireflies today, with HubSpot, Pipedrive and Attio in early access — and any browser-based calling on the supported platforms is captured directly by the Ender Turing extension. Anything else hands over recordings through the REST API, SFTP or upload and is analyzed alongside the rest. The full list is under Integrations. All integrations.

Is this QA software or analytics?

Both, on the same calls. On the QA side — what the market calls call center QA software — it is scorecards, required lines with a script-adherence score, and AutoQA on 100% of calls with its accuracy against your reviewers visible. On the analytics side — what the market calls speech analytics — it is stages and funnels, dashboards per client and campaign, custom charts and executive boards, and EnderGPT questions across the calls. For an outbound floor the analytics question is why calls don't convert and the QA question is whether the required lines were said — one platform answers both from the same recordings. Scorecards, Funnels and Dashboard in the Help Center.

How long does it take to set up Ender Turing for a cold-calling team?

About 15 minutes to connect your CRM or dialer and up to five agents on the free plan, then the standard outbound template — funnel stages, required lines, coaching queue — is installed from the Templates Library and adjusted to your talk track. The first calls come back analyzed and scored the same day. Business plans add implementation engineers with a committed 28-day timeline for the whole contact center. Templates Library.

Is Ender Turing secure, and which languages does it support?

Ender Turing has completed a SOC 2 Type II examination and handles data in a GDPR-compliant way on every plan; Enterprise adds private cloud and on-premise deployment. It works in any language: production speech recognition today covers English, Spanish, Portuguese, French, German, Polish, Ukrainian, Arabic, Chinese, Japanese and more; any other is added on request or connected through your own speech-recognition engine. Personal data in transcripts can be masked per language with the Anonymization feature on Business plans. Anonymization.

Which cold-calling metrics does the board show?

The ones a cold-calling team runs on: meetings set per agent, campaign and client; conversion by funnel stage (dials → conversations → past gatekeeper → decision-maker reached → meeting set) with the drop-off between stages; script adherence per call; and the coaching queue built from the calls that converted and the ones that did not. Handle time and CSAT are available too, but they are not what an outbound call center is managed by. Funnels and Dashboard.

Can we use our own QA scorecard?

Yes. Scorecards in Ender Turing hold your quality criteria in categories and points, and you can build one from scratch, copy an existing one, or import your current QA scorecard from an Excel file. Once marked automated, AutoQA answers every point on every call, and the accuracy of each point against your human reviewers is shown and improved from their reviews. Scorecards.

How do you improve QA on a cold-calling floor without more reviewers?

By scoring 100% of calls automatically instead of a 3–5% sample, and by reviewing where it matters: required lines checked on every call, the calls that missed one routed to a reviewer's queue by an automation, and the calls that booked meetings pinned for coaching. Reviewers calibrate the AI rather than replace it — automated scorecards typically reach 95%+ agreement with your reviewers, and the accuracy loop uses their reviews to improve the point definitions, so scorecard descriptions need minimal to no human work. Accuracy improvement.

Is this for telemarketing teams too?

Yes — the work is the same whatever it is called: B2B cold calling, telemarketing, appointment setting, outbound SDR. If agents dial from a CRM or dialer and the result is a meeting or a lead, Ender Turing scores every one of those calls by the stage it reached, checks the required lines and coaches from the calls that converted.

Where do Fireflies, Fathom, or other meeting platforms fit?

They come after the cold-call operation is visible. The documented Fireflies app imports completed meeting transcripts into Ender Turing. Fathom and other meeting platforms fill the same role when their recordings are supplied through an available app, connector, API, SFTP, or upload path; Zoom, Google Meet and Microsoft Teams meetings can also be recorded directly by the Ender Turing browser extension. Read the Fireflies guide.

Security, hosting regions, sub-processors and response times are documented on the Data Security page; SOC 2 Type II examination completed.

Buyer insights

Make the next decision about your team's conversations with better evidence.

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Your outbound operation

See your own calls in Ender Turing.

Start free with up to 5 agents—no expiry. See which stage loses your conversations, which calls booked meetings, what to coach, and whether the required lines were said—on your own calls.