Google Meet connector

Use your Google Meet data for reporting, automation and AI.

Data Panda brings your Google Meet meeting and participant metadata together with the data from the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and custom apps your sales, operations and people teams use every day.

Data Panda Reporting Automation AI Apps
Google Meet logo
About Google Meet

The video call that already came with the inbox.

Google Meet launched on 9 March 2017 as Hangouts Meet, the enterprise video product separated from consumer Hangouts. In April 2020 Google opened the free tier to any consumer Google account, and Meet usage grew thirty-fold between January and April 2020 to about 100 million daily users at the peak. The product was rebranded to Google Meet, and on 1 November 2022 the older Google Duo app folded into Meet on mobile. Today Meet sits inside Google Workspace next to Gmail and Calendar on the paying side, and on the free Google account on the consumer side, with a sixty-minute cap on group calls outside Workspace plans.

For most Workspace shops Meet is the default video call because it is already there. The link is generated by Calendar when the invite is created, the join button sits in the event body and in Gmail, and the recording (when one is made) lands in the host's Drive. Our connector pulls the Meet activity surface into your warehouse: conference IDs, meeting codes, the calendar event behind each call, participants, join and leave times, device type and call-quality signals. That metadata is enough to answer questions Workspace admins, sales-ops and people-ops have been asking on quarterly export PDFs. Which meetings really held versus the ones the Calendar invite said would happen. Which participants kept dropping because of network quality. Which recurring Meet links carry calls every week and which ones became a phantom slot on twelve calendars.

What your Google Meet data is for

What you get once Google Meet is connected.

Meeting and attendance reporting

Meet calls, real participants and join-quality per team and per host, on data that refreshes with the rest of the warehouse.

  • Held versus invited share per recurring series, week over week
  • Meet hours per host and per team next to Calendar-invite hours
  • Drop-off and rejoin patterns per participant and per device type

Meeting-hygiene automation

Let Meet attendance metadata trigger the housekeeping the calendar never does on its own.

  • Flag recurring Meet links where real attendance dropped below half of accepts for three weeks running
  • Alert hosts when their call quality degrades on a specific device or office network
  • Route Meet sessions with no participants beyond the host into a review queue for ops

AI workflows

Put Meet attendance and quality data behind AI that helps people protect time and IT spot the right network.

  • Recurring-meeting ranking by likely value, based on the held-versus-invited gap
  • Network-quality scoring per office and per home-internet bracket
  • Attendance prediction per series, used by the host before the next instance fires

Custom apps on your data

Small internal tools on Meet metadata for sales, IT and people leaders.

  • Sales-ops view of customer Meet calls per opportunity, with attendee match against the CRM
  • IT dashboard of Meet call-quality issues per office, per device and per ISP
  • People-ops view of meeting hours per role and host across Calendar invite and Meet attendance
Use cases

Use cases we deliver with Google Meet data.

A list of concrete reports, automations and AI features we have built on Google Meet data. Pick the one that matches your situation.

Held versus invitedPer recurring Meet, the share of accepts that really joined the call.
Top host loadHosts ranked by Meet hours and number of recurring series owned.
Recurring-link inventoryActive Meet codes, with age, host and average real attendance.
Attendance driftRecurring meetings where real participation has been quietly shrinking.
Drop and rejoinParticipants kicked out by network quality, per office and per ISP.
External meeting sharePer rep, share of Meet hours with participants outside the company.
Device mixWeb, mobile, room-kit and Chromebox share per team and per office.
Out-of-hours meetingsMeet calls held outside working hours, per team and region.
Free-tier overflowMeet calls hitting the sixty-minute cap on personal accounts in scope.
License coverageWorkspace seats with Meet usage versus seats that have not joined a call this quarter.
Real business questions

Answers you will finally get.

Which meetings really held versus what Calendar promised?

Meet conferences joined to the calendar event that scheduled them, with the gap between accepted attendees and real participants per recurring series. The weekly stand-up that has eighteen accepts on Calendar and seven joiners in Meet stops looking like a healthy meeting on the people-ops report, and the host gets a numeric reason to cancel or merge.

Which recurring Meet links have outlived their purpose?

Recurring Meet codes inventoried with age, host, average attendance and attendance trend. The Tuesday review that started two years ago with a full room and now runs as background noise for three people surfaces as a candidate for a cancel, instead of staying alive because nobody owns the decision.

Which offices and networks make Meet calls drop?

Call-quality signals (jitter, packet loss, drop and rejoin counts) joined to office, device type and ISP. IT spots the Brussels office Wi-Fi that loses a third of every Meet call before pushing a global fix, and finance sees which home-internet allowance is paying back.

Value for everyone in the organisation

Where each function gets value.

For finance leaders

Workspace seat cost per active Meet user, with the seats that never joined a call this quarter ranked separately. Useful at renewal, when the reseller wants to talk seat counts and you want to talk effective use.

For sales leaders

External Meet hours per rep against pipeline movement and closed-won. Sales leadership separates reps who spend Meet time with the right buyers from reps whose calls are mostly internal syncs.

For operations

Recurring-link inventory, attendance drift and quality issues in one view. People-ops and IT run cleanups and network reviews on data that refreshes with the warehouse, instead of on a quarterly export pulled by hand from the admin console.

Ideas

What you can automate with Google Meet.

Pair with Google Calendar

Reconcile Google Meet attendance with the Calendar event that scheduled it

Each Meet conference joins to the Google Calendar event that created the link, so the warehouse holds invited attendees, accepts, declines and the participants who really joined and stayed. People-ops and meeting hosts see the gap between Calendar promise and Meet reality per recurring series, and a recurring all-hands with eighty accepts and twenty real joiners stops counting as a healthy meeting on the report.

Pair with Salesforce

Match Google Meet calls to Salesforce opportunities

External Meet calls match back to the Salesforce account and opportunity using attendee email domains and the linked Calendar event. Activity reports per rep show the actual customer-facing Meet hours per deal stage, and managers spot opportunities that close after two calls versus the ones that drag through twenty without a clear next step.

Pair with HubSpot

Log Google Meet touches on the matching HubSpot deal

Meet calls with attendees in HubSpot contacts log as meeting touches on the matching deal, with start time, duration and participant list attached. Pipeline reporting shows touches per deal stage and per rep on real Meet attendance, so deal-progression rules stop running on the activities a rep remembered to log by hand.

Pair with Gong

Join Google Meet metadata with Gong call intelligence

Meet meeting timestamps, hosts and participant counts sit next to the Gong transcript and deal-health score for the same call. Sales leadership reviews one row per conversation where time spent, who was on it and how it went live together, instead of jumping between Workspace and Gong tabs.

Your existing tools

Your data lands in a warehouse. Your BI tools read from it.

You keep the reporting tool you already have. We connect it to the warehouse where your Google Meet data lives.

Power BI logo
Power BI Microsoft
Microsoft Fabric logo
Fabric Microsoft
Snowflake logo
Snowflake Data warehouse
Google BigQuery logo
BigQuery Google
Tableau logo
Tableau Visualisation
Microsoft Excel logo
Excel Sheets & pivots
Three steps

From Google Meet to answers in three steps.

01

Connect securely

OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.

02

Land in your warehouse

Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.

03

Reporting, automation, AI

We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.

Two ways to work with us

Pick the track that fits how you work.

Track 01

Self-serve

We set up the foundation. Your team builds on top.

  • Google Meet connector configured and running
  • Warehouse set up in your cloud account
  • Clean access for your Power BI, Fabric or Tableau team
  • Documentation on what's in the data model
  • Sync monitoring so you're warned before reports break

Best fit Teams that already have a BI analyst or data engineer and want to own the build.

Track 02

Done for you

We build the whole thing, end to end.

  • Everything in Self-serve
  • Dashboards built to the questions your team actually asks
  • Automations between your systems
  • AI workflows scoped to real tasks your team runs
  • Custom apps where a dashboard does not cut it
  • Ongoing delivery at a pace that fits your team

Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.

Before you book

Frequently asked questions.

Who owns the data?

You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.

How fresh is the data?

Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.

Do I need a warehouse already?

No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.

Does the connector pull recordings or only meeting metadata?

The connector pulls Meet activity metadata exposed through the Google Workspace audit Reports API: conference IDs, meeting codes, the linked calendar event, participants with join and leave times, device type and call-quality signals such as jitter and packet loss. Recording files, transcripts and chat content are not part of the default scope. Meet recordings live in the host's Drive once made and stay outside this pull, which keeps the warehouse focused on attendance and quality patterns rather than meeting content.

GDPR-compliant
Data stays in the EU
You own the warehouse

A first deliverable live in four to six weeks.

We review your Google Meet setup and the systems around it. Together we pick the first thing worth building.

Book a call See our other connectors