Aircall connector

Use your Aircall data for reporting, automation and AI.

Data Panda brings your Aircall call logs, IVR events, queue activity and number inventory 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 and support teams use every day.

About Aircall

The cloud phone built for sales and support, with the CRM in the same window.

Aircall was founded in 2014 in Paris by Olivier Pailhès, Jonathan Anguelov, Pierre-Baptiste Béchu and Xavier Durand, incubated at the eFounders studio. The product is a cloud business phone, an IVR, a power dialer, call recording and live transcription, with one shared inbox for calls, voicemails and SMS. The company today reports more than 22,000 customers and over 250 native integrations, with a centre of gravity in EU mid-market sales and support teams and a strong second leg in the United States.

The reason to pull Aircall into a warehouse is that the platform is the call surface for the team that lives in the CRM and the helpdesk all day. Connect rate by agent, IVR drop-off per menu node, queue abandon by hour, after-hours cover, recordings linked back to the right HubSpot or Salesforce deal: every one of those numbers exists inside Aircall, but the question that earns budget is asked next to closed-won pipeline and ticket reopens. Putting the call data next to deal stage, ticket category and shift roster turns a phone bill into a coaching plan, a staffing plan and an IVR redesign.

What your Aircall data is for

What you get once Aircall is connected.

Calling, IVR and queue reporting

Connect rate, IVR drop-off, queue abandon and after-hours cover on data that refreshes with the rest of the warehouse.

Connect rate per agent and per number, against the dial volume that produced it
IVR drop-off per menu node, with the share that ends in voicemail or hang-up
Queue answer rate, abandon rate and wait time by hour and team

Call-event automation

Let a missed call from a known opportunity, an IVR escape or an after-hours spike trigger the rest of the stack.

Missed inbound from a known HubSpot or Salesforce deal opens a follow-up task on the rep's queue
IVR menu node with rising drop-off pings the support lead with the live curve
After-hours call from a tagged customer routes to the on-call number with the open-ticket history

AI workflows

Put call-pattern data behind AI that helps planners staff queues and managers coach reps.

Hour-by-hour staffing model per queue and team, fed by historical answer-rate curves
Best-time-to-call model per persona and per region, against the rep's connect history
IVR redesign suggestions from drop-off and re-route paths over a rolling ninety-day window

Custom apps on your data

Small internal tools on Aircall metadata for sales, support and ops leaders.

Sales-ops view of dial volume per rep against pipeline and meetings booked
Support-ops queue board with live wait time, abandon rate and after-hours overflow path
Ops-finance view of seat and number cost against active usage per team

Use cases

Use cases we deliver with Aircall data.

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

Connect rate by agentCalls picked up per dial attempt, per agent and per shift.

Queue abandon by hourWhere in the day inbound callers hang up before an agent picks up.

IVR drop-offPer-menu-node drop-off, with the share that ends in voicemail.

After-hours coverInbound calls outside business hours, where they land and who answers.

Number-inventory usageProvisioned numbers that saw a call versus those that did not.

Disposition mixDisposition and tag mix per agent, against deal or ticket outcome.

Call-to-meeting ratioOutbound calls and minutes per booked meeting, per rep and segment.

First-call-resolutionInbound support calls resolved on the first contact, per queue.

Repeat-caller shareShare of inbound calls from a number already in the log this month.

Seat reclaim listAircall seats with no calls in a 60-day window, ready for reclaim.

Real business questions

Answers you will finally get.

Where in the IVR do callers give up?

IVR events tagged per menu node, with the share that ends in voicemail, hang-up or a transfer back to a human queue. Support leadership sees that menu option three loses a third of inbound callers, because the prompt sends them to a billing queue that is closed at the time of day they call. The fix is a prompt rewrite or an opening-hours change, not another agent.

Which agents have low connect rate but high dial volume?

Outbound calls per agent against the share that connected, joined to the meetings booked or tickets resolved that followed. Sales and support leaders coach the agent whose dial counts look healthy but whose connect rate trails the team, instead of pushing the team to dial more on a list that is already cold.

What does after-hours cover really look like for our key customers?

Inbound calls outside business hours, tagged with caller number, queue, after-hours route and CRM customer tier. Account leadership sees how many top-tier customers hit voicemail at 18.30 because the on-call rotation handed off thirty minutes too early, and the cover gap gets closed before the next account review.

Value for everyone in the organisation

Where each function gets value.

For finance leaders

Aircall seat count, number count and minute usage per team next to the carrier invoice and the CRM-attributed pipeline. Finance sees which seats are dormant, which numbers nobody dials and which teams produce pipeline per dial-minute, instead of a flat per-seat figure at renewal.

For sales leaders

Connect rate, disposition mix and call-to-meeting ratio per rep, joined to HubSpot or Salesforce deal stage. Sales leadership separates reps whose dial volume turns into pipeline from reps whose talk-time padding shows up nowhere downstream, and coaches on the specific window in the day where each rep stops connecting.

For operations

Queue answer rate, abandon rate, IVR drop-off and after-hours cover on one board, joined to the shift roster. Support-ops fixes a midday abandon spike with a roster change and rewrites the IVR menu node that bleeds callers, before a head-count request lands on the table.

Ideas

What you can automate with Aircall.

Pair with HubSpot

Click-to-call and timeline logging in HubSpot

Aircall for HubSpot is the flagship integration on the catalog: HubSpot contact and deal records get a click-to-call action that places the call through the rep's Aircall number, and the call lands back on the HubSpot timeline with duration, recording link, disposition and tag. Sales-ops stops asking reps to log calls by hand, and HubSpot workflows fire on Aircall events such as a missed call from a known deal.

Pair with Salesforce

Match Aircall calls to Salesforce accounts and opportunities

Inbound and outbound Aircall calls match back to the Salesforce account and opportunity using caller number and rep extension, through the native Aircall for Salesforce integration. Activity reports show real talk-time per deal stage, missed calls from known opportunities open a follow-up task on the rep's queue, and click-to-call from the Salesforce record drops a logged call back into Aircall history.

Pair with Zendesk

Open Zendesk tickets from inbound Aircall calls

Inbound calls into the support queue open or update a Zendesk ticket with caller number, queue, agent and call log, and the agent's screen-pop carries the customer's open-ticket history. Support-ops measures first-call-resolution against ticket reopens, and the duty manager sees abandon rate next to ticket backlog instead of in two tools.

Pair with Gong

Send Aircall calls to Gong for conversation analysis

Recorded Aircall calls feed Gong's conversation pipeline, where transcript, talk-listen ratio and objection tags get computed once and join the same warehouse view as the raw call log. Sales managers see one row per conversation with how long the call ran, who was on it and which objection killed the deal, instead of toggling between the Aircall history and the revenue-intelligence tab.

Data model

Tables we make available.

These are the 7 tables we currently pull from Aircall into your warehouse. Query them directly in SQL, join them to the rest of your stack, or build reports on top.

Calls
Calls Sentiments
Calls Summary
Calls Topics
Calls Transcription
Contacts
Users

Missing a table you need? We can extend the sync. Tell us what is missing and we will build it for you.

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 Aircall data lives.

Power BI Microsoft

Fabric Microsoft

Snowflake Data warehouse

BigQuery Google

Tableau Visualisation

Excel Sheets & pivots

Three steps

From Aircall to answers in three steps.

Connect securely

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

Land in your warehouse

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

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.

Aircall 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 recording audio or transcripts?

Metadata always lands: call id, participants, queue, IVR path, duration, disposition, tags, recording link. Recording audio and transcript content stay in Aircall by default, behind the platform's own consent prompts and retention policy. Recording-content analysis is better routed through a tool like Gong, where consent capture, retention and redaction are first-class parts of the workflow. The reporting questions most teams have, such as connect rate, queue health and IVR drop-off, are answered from metadata alone.

How does this differ from a RingCentral or Zoom Phone connector?

RingCentral and Zoom Phone sit on the cloud-PBX seat for the whole company, including internal extensions, fax in some cases, multi-site dial plans and SMS at scale. Aircall is narrower and CRM-shaped: the typical deployment is a sales or support team of five to fifty seats that wants click-to-call, screen-pop and timeline logging in HubSpot, Salesforce or Zendesk on day one. The connector reflects that. Number inventory and queue events look similar across the three, but the Aircall pull is most valuable when the team's daily workflow already runs through the CRM and the helpdesk rather than through a dedicated phone-system console.

GDPR-compliant

Data stays in the EU

You own the warehouse

A first deliverable live in four to six weeks.

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

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