Saved filters become campaigns
Point Pharo at a Pipedrive filter and dial it. No export, no list to keep in sync by hand.
Pharo + PipedriveIn build
Pharo will read Pipedrive persons, organisations and deals, turn a saved filter into a parallel dialing campaign, and write call activities, notes and stage changes back onto the deal. The connector is in build — the orchestration layer is the same one the Salesforce and HubSpot connectors already run on, so most of the work is configuration rather than engineering.
Point Pharo at a Pipedrive filter and dial it. No export, no list to keep in sync by hand.
Every call returns as a Pipedrive activity with its outcome, duration and summary attached to the person and the deal.
Asked about ramp time for new SDRs. Wants to see it on their own list.
Set from the call disposition.
A booked meeting moves the deal, so the pipeline reflects what happened on the call without anyone updating it afterwards.
Pharo’s Pipedrive connector is in build, not shipped. When it lands, a Pipedrive saved filter becomes a dialing campaign and activities, notes and deal stages are written back onto the deal. The Salesforce and HubSpot connectors are live today and run on the same orchestration layer.
A parallel dialer opens several outbound lines at once for a single rep and connects that rep to whichever one a person picks up, so the unanswered numbers and voicemails are cleared without anyone sitting through them. There is a longer explanation, including where it goes wrong, in what is a parallel dialer.
Up to 2 on Starter, 4 on Pro and 8 + on Enterprise — the count is on the pricing page. It is a plan setting rather than a dial to turn up freely, because abandonment exposure rises with lines: more lines open per rep means more calls answered with nobody to hand them to.
No. The connector is being built to read the persons, organisations and deals you already have and write into the activity and stage fields Pipedrive already uses, on the same principle the live connectors follow.
The orchestration layer runs on Nango, so most of the long tail is configuration rather than engineering. If the one you need is not here, tell us which and it moves up the queue.
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