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GTMStack + Dialpad Integration

Sync calling data, transcripts, and agent metrics from Dialpad into GTMStack to enrich pipeline data with phone activity.

What syncs

Data
Direction
Call logs, real-time transcripts, sentiment scores, voicemail data
Tool → GTMStack
Contact enrichment data and call priority indicators
GTMStack → Tool
Contact records and phone number verification status
Bidirectional

Integration features

Call transcript sync with keyword highlighting

Real-time call sentiment tracking per account

Agent performance and call quality metrics

Contact matching for inbound call routing

Call disposition mapping and sync

Voicemail detection and outcome logging

Setup in 6 steps

1

Authorize Dialpad via OAuth in GTMStack settings

2

Map Dialpad users to GTMStack team members

3

Configure which call data fields to import

4

Set up contact matching rules for caller ID resolution

5

Test call logging with a few outbound calls

6

Activate the integration and monitor call data flow

Why This Integration Matters for GTM Teams

Dialpad stands out among cloud phone systems because it transcribes calls in real time and includes built-in sentiment analysis. For GTM teams, this means calling data arrives in GTMStack with more context than just duration and disposition. You get the actual conversation content and a read on how the call went, automatically.

This changes what you can do with calling data. Instead of just counting calls and connect rates, you can analyze what’s being said on successful calls versus unsuccessful ones. You can track whether specific topics come up more often in deals that close. The calling channel goes from a black box to a transparent, analyzable touchpoint.

For teams that rely heavily on phone outreach, pairing Dialpad’s native transcription with GTMStack’s operational layer creates an intelligence loop that improves with every call.

Common Workflows

Transcript-Enriched Call Logging: Every Dialpad call gets logged to GTMStack with a full transcript, sentiment score, and duration data. When a rep marks a disposition, it syncs as a structured field on the contact record. Account owners and managers can review what was said without re-listening to recordings. This feeds into analytics for pattern analysis across thousands of calls.

Sentiment-Based Escalation: When Dialpad detects negative sentiment during a call, GTMStack captures that signal and routes it into an escalation workflow. A manager gets notified to review the call, or a follow-up task gets created to address the prospect’s concerns. Set up escalation rules through workflow automation.

Call Keyword Tracking: Define keywords that matter to your business — competitor names, pricing terms, feature requests — and GTMStack tracks when they appear in Dialpad transcripts. Over time, this builds a dataset of conversation trends you can use to inform product marketing, competitive positioning, and sales enablement.

Connected Calling Metrics: Dialpad metrics alone tell you about call volume and quality. GTMStack connects those metrics to downstream outcomes: which calls led to meetings, which meetings became opportunities, and which opportunities closed. You can see the full path from dial to dollar. Combine this with SDR operations data to benchmark reps across every channel and review the complete picture in the integrations dashboard.

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