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Call analyticsKnow what your campaigns are doing — and what to do next.
Connect rates, outcomes, sentiment and a heatmap of when your leads really pick up, for every calling and SMS campaign, live. Filter down to any segment, export it, or turn it into a new campaign in one click.
Spring re-engagement · campaignSample data
Best time to call
How calls ended
What is call analytics?
Call analytics is reporting on what your phone calls actually achieved — connect rates, outcomes, sentiment and when people answer — rather than just how many calls were made. TalkerIQ's call analytics covers every calling and SMS campaign, with a best-time-to-call heatmap and filtered call logs you can export or turn into a new campaign in one click.
- Tracks
- Calls made, connected, missed, transferred, voicemail drops, appointments, SMS
- Per call
- Recording, transcript, outcome tag and sentiment
- Timing
- Best-time-to-call heatmap by hour and day
- Act on it
- CSV export, or a new campaign from any filter
- Updates
- As calls complete
Sound familiar?
We ran the campaign. I can tell you how many calls we made. I can't tell you if it worked.
Dial counts don't answer the questions that matter: is it working, when, and for whom — and which leads deserve another try. Call analytics is the reporting layer of the AI dialer: every AI outbound calling campaign, rep session and SMS follow-up reports here.
Activity, not results
Reports show calls made, but not how many connected, booked or asked for a callback.
Calling times based on guesses
Is Tuesday at 10 better than Thursday at 4? Industry averages aren't your list.
No idea how calls felt
Without sentiment and outcomes, you can't tell a good campaign from a noisy one.
Follow-up lists built by hand
Pulling "everyone who asked for a callback" into a new campaign means exporting, filtering and re-uploading.
How it works
How does call analytics turn raw calls into real decisions?
How teams use campaign analytics during and after a campaign.
Calls complete
Every AI and rep call is recorded, transcribed, tagged with an outcome (disposition) and scored for sentiment.
AI + automationKPIs update
Calls made, connected, voicemail drops, transfers, appointments and SMS activity — as calls finish.
AutomaticFind the pattern
The heatmap shows when your list actually answers; outcome tags show how calls ended.
Your teamSlice the logs
Filter by outcome, tag, sentiment or date; open any call for the recording, transcript and summary.
Your teamAct in one click
Export the filtered set, or create a new campaign targeting exactly those contacts.
Your team · 1 click
KPIs
The numbers that define campaign health.
Every campaign — whether it ran on the power dialer, the predictive dialer or AI agents — answers the questions that matter at the top of its dashboard: how many calls were made, how many connected, how many were missed or transferred, how many voicemails were dropped, how many appointments were booked and how much SMS activity followed — with call trends over time.
- Calls made, connected, missed and transferred
- Voicemail drops, appointments booked, inbound and outbound SMS
- Call trends over any date range
Timing
When is the best time to call your leads?
Stop guessing. The activity heatmap plots successful connections by hour and day of week for your actual list — not industry averages. Once a pattern emerges, tighten the campaign's calling windows around it, or let AI smart retries use those patterns per lead automatically.
- Best-time heatmap built from your campaign's real results
- Tighter calling windows based on what works
- Smart retries that use the pattern per lead
Why the AI tried again — and how
- AI callTue · 2:10 PMVoicemail
- Next: switch to SMS at 6 PM — afternoon calls go unanswered; she replied to a text last month.
- Text · value reminderTue · 6:00 PMNo reply
- Next: call Wednesday evening from a local number, scheduling ask.
- AI call · answeredWed · 5:40 PM — meeting bookedDone
Act
Turn a filter into your next campaign.
Filtered a segment worth another shot — say, everyone tagged "callback requested", or interested but not yet booked? Create a new campaign from that exact filter in one click, list included. Pair it with a fresh flow and your follow-up is live in minutes.
- Sentiment and tag distribution across the whole campaign
- Filterable call logs with recording, transcript and summary
- CSV export and create-campaign-from-filter
One click, five follow-ups
How did the call with Dana go?
Callback when? Thu · 3:00 PM her time
- Callback task for SamThu 3:00 PM, back at the top of his list
- Confirmation text sent"Talk Thursday at 3 — Sam, Brightline"
- AI summary attachedNeeds 12 seats, wants pricing for annual
- CRM deal updatedStage → Callback scheduled
- Off today's listNo more dials until Thursday
Drill down
From campaign totals to one lead's story.
Click from the dashboard to any contact and see their full sequence on one timeline — every call, text, retry decision and outcome in order, with links to recordings and transcripts. For deeper call-by-call insight, post-call analysis scores sentiment, objections and next steps automatically.
- Per-contact journeys across calls and texts
- Retry decisions shown with their reasons
- Recordings and transcripts one click away
One lead, five days, zero dropped follow-ups
- Rep calls · no answerVoicemail dropped in one click; disposition loggedDay 1 · 10:04
- Follow-up text goes out"Sorry we missed you — reply with a good time"Day 1 · 10:05
- AI retries at the best timeSmart retry picks evening; local number shownDay 2 · 18:20
- Lead replies by textAI SMS agent answers pricing questions instantlyDay 3 · 08:12
- Meeting bookedOn the rep's calendar, CRM deal stage updatedDay 3 · 08:15
- Rep joins with full contextCall recordings, texts and AI summary in one timelineDay 5
What changes
What teams notice after their first campaign review.
instead of activity
Connected, booked and callback-requested — not just "called".
best time to call
Calling windows set from real answer patterns, not averages.
to the next campaign
Any filtered segment becomes a new campaign, list included.
explained
Recording, transcript, outcome and sentiment behind every number.
A Monday campaign review
Thirty minutes with the dashboard, a better campaign by lunch.
Marcus manages an outbound sales team that spent last week re-engaging old leads with AI calls, rep calls and texts. Here's his Monday review.
- Results, not dial counts
The campaign's KPIs show calls made, connected, voicemails dropped, transfers to reps and appointments booked, with SMS replies alongside.
- The heatmap tells a story
This list barely answers before noon. Connects cluster between 3 and 6 PM, Tuesday to Thursday.
- Calling windows tightened
Marcus narrows the campaign's windows to the afternoons and lets AI smart retries pick each lead's best time within them.
- A filter becomes a campaign
He filters to "callback requested" with positive sentiment and creates a new campaign from it in one click, paired with a call and SMS cadence.
- A negative call, explained
He opens a call tagged with negative sentiment, reads the transcript and finds a pricing line that keeps causing pushback. He rewrites the line in the script and the AI agent's knowledge base before Thursday's calls.
- The numbers go upstairs
A CSV export of outcomes and tags goes into the leadership report — no spreadsheet stitching from three tools.
Compare
Call analytics vs. a dial-count report vs. a live wallboard
Three views of the same calls. Only one tells you whether the campaign worked and what to do next.
| Dial-count report | TalkerIQ call analytics | Live wallboard | |
|---|---|---|---|
| Answers | How busy were we? | Did it work, when, and for whom? | What's happening right now? |
| Outcomes and sentiment | No | Outcome tags and sentiment on every call | Live states only |
| Best time to call | No | Heatmap from your own results | No |
| Next action | Export and filter by hand | New campaign from any filter, in one click | Move people into queues, trigger AI overflow |
| Best for | Activity targets | Campaign reviews, script changes, retargeting | Supervisors during the shift — see the call center wallboard |
Texting campaigns report here too — see the bulk SMS service. Compare TalkerIQ plans from $29/user/mo billed annually.
In the details
What does TalkerIQ call analytics track?
Campaign KPIs
Calls made, connected, missed, transferred, voicemail drops, appointments, SMS.
Call trends
Volume and connects over time, by date range.
Best-time heatmap
Successful connects by hour and day of week.
Sentiment
Positive, neutral and negative across the campaign.
Outcome tags
Interested, callback requested, wrong number and more.
Filterable logs
Slice by outcome, tag, sentiment or date.
CSV export
Outcomes, tags, sentiment and timestamps for BI or client reports.
Campaign from filter
Start a new campaign from any filtered segment.
Contact journeys
Every attempt, channel and decision for one lead.
FAQ
Questions teams ask about call analytics
Still unsure? Talk to our team.
Reviewed by the TalkerIQ product team · Updated
What is the difference between call analytics and a call log?
A call log lists calls one by one: who, when and how long. Call analytics summarises what those calls achieved — connect rates, outcomes, sentiment and timing patterns — so you can decide what to change in the next campaign.
What metrics does TalkerIQ call analytics track per campaign?
Calls made, connected, missed and transferred; voicemail drops; appointments booked; inbound and outbound SMS; call trends over time; sentiment distribution; and outcome tag distribution — all filterable by date range.
How do I find the best time to call my leads?
Use the activity heatmap in TalkerIQ call analytics. It plots successful connections by hour of day and day of week from your own campaign's results, so you can tighten calling windows around when your list actually answers instead of relying on industry averages.
Can I export call analytics data to a spreadsheet or BI tool?
Yes. Any filtered view of a campaign's call logs exports to CSV, including outcomes, tags, sentiment and timestamps, ready for your BI tool, a spreadsheet or a client report.
What does "create a campaign from a filter" do?
It takes the contacts matching your current call-log filter — for example everyone tagged interested but not yet booked — and starts a new TalkerIQ campaign targeting exactly those contacts, in one click.
Can I see one lead's full history inside a campaign?
Yes. Each contact has a sequence journey timeline in TalkerIQ showing every attempt, channel, retry decision and outcome in order, with links to recordings and transcripts.
Does call analytics include both AI and human calls?
Yes. Calls from TalkerIQ AI agents and from reps on the power or predictive dialer are reported on the same outcomes, so you can compare and combine them in one campaign view.
How is call analytics different from a live wallboard?
A live wallboard shows what is happening right now — calls waiting, agent states — so supervisors can react during the shift. Call analytics shows what campaigns achieved over days or weeks, so managers can change timing, targeting and scripts.
Keep exploring
See your campaigns the way your best manager would.
Book a 30-minute walkthrough. We'll show the dashboard on a sample campaign and how to turn a filter into your next one.