Call tagging
When call volume is high, making sense of what is happening across those conversations takes more than manual effort. Call tagging helps teams categorize customer interactions by topic, outcome, and next step so managers can spot trends, improve coaching, and build more consistent reports from every interaction. See how it works with a demo.

What is call tagging? How does it work in Dialpad?
Call tagging is the process of adding labels to phone calls so teams can categorize conversations by outcome, topic, customer need, campaign, priority, or follow-up action. In a contact center, call tags help turn unstructured conversations into organized data that managers can use for reporting, coaching, QA, and workflow automation.
Think of call tags as a structured layer on top of every customer interaction. Rather than relying on scattered notes or inconsistent summaries, teams use call tags to create a standardized view of what is happening across customer calls at scale.
What is a call tag? A call tag is an individual label applied to a phone call after it ends. Tags can reflect the call outcome (resolved, escalated, follow-up needed), the customer's reason for calling (billing question, technical issue, cancellation request), or the next step required (callback, CRM update, manager review).
Call tagging also works for outbound calls. Sales teams can tag calls with prospects based on where they are in the conversation: qualified, not yet ready, or needs follow-up in a specific timeframe. That context becomes part of the shared record, so anyone on the team picking up the next call already has the full picture.
With Dialpad, agents can apply preset or custom tags immediately after a call ends. Managers and supervisors can then see those tags across all calls from their dashboard, giving them a cleaner and more consistent view of call outcomes across the team.
Get more than just call tagging with Dialpad Support
With Dialpad's contact center platform, call tagging is one part of a broader set of tools that help teams manage customer interactions and surface the insights that matter.
Real-time transcriptions
Dialpad AI transcribes every call as it happens, producing a searchable record of every customer conversation. Agents can follow along during the call and review or share the transcript immediately after.

Live sentiment analysis
Dialpad AI also performs live sentiment analysis, giving supervisors visibility into how customer conversations are trending in real time. If a call starts heading in the wrong direction, supervisors can open the live transcript to get more context before deciding whether to step in.

Intuitive call routing
Need to update your IVR or adjust how calls are distributed? Dialpad makes it straightforward to switch between routing options, whether that is skills-based, round-robin, or another configuration, in just a few clicks.

Unlimited call recording
Transcripts capture what was said. Recordings capture how it was said. Agents and supervisors can toggle call recording on or off manually, or set all calls to record automatically. Dialpad also has APIs that pause recording automatically when sensitive information such as payment details is being discussed.

Get a better understanding of the types of calls you're getting
Book a demo to see how call tagging works inside Dialpad's contact center platform.
Manage all your communications in one place with Dialpad
UCaaS and CCaaS in one platform
Whether your teams are communicating internally with colleagues or externally with clients and customers, Dialpad brings phone calls, video meetings, SMS, instant messaging, and contact center capabilities into a single platform, so there is no gap between your communications tools and your customer experience tools.

Integrations with your favorite tools
Dialpad's platform integrates natively with Salesforce, Zendesk, HubSpot, Zoho CRM, and more. For custom workflows, the open API lets teams build their own integrations.

Simple to configure, easy to scale
Admins can add agents, manage phone numbers, and configure call tags directly from the online dashboard, with no IT involvement required. Tags can be preset or fully customized, and there is no limit on the number of tags you can create.

Customizable caller ID
Agents can make calls from any device while ensuring customers always see the correct business number. For teams working across multiple locations, devices, or brands, this keeps the customer-facing experience consistent regardless of how or where agents are working.

See call tagging in action
Book a demo to see how Dialpad connects call tags to the conversations, transcripts, and workflows your teams already depend on.
Frequently asked questions
Post-call automation uses AI to complete tasks that occur after a customer call, such as generating summaries, capturing action items, updating CRM records, and assigning follow-ups. In a contact center, it reduces after-call work and improves consistency across agents and interactions.
By automatically generating call notes, summaries, and action items, post-call automation eliminates many of the manual tasks agents complete between interactions. This reduces wrap-up time and allows agents to move to the next customer conversation faster.

Common post-call tasks that can be automated include call summarization, note generation, action item capture, CRM and helpdesk record updates, follow-up scheduling, disposition logging, and customer satisfaction scoring.
Call transcription produces a written record of what was said during a conversation. Post-call automation uses that transcript, along with AI analysis, to generate summaries, identify action items, update records, and trigger follow-up workflows. Transcription is one input into a broader post-call automation workflow.
By reducing the administrative burden after each call, post-call automation gives agents more time for customer interactions and less time on data entry and documentation. It also helps supervisors identify coaching opportunities without manually reviewing recordings.
Yes. Sales teams benefit from automated capture of objections, commitments, next steps, and deal context after every call. This supports faster, more consistent follow-up and reduces the risk of losing information that was discussed but not logged.