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Overview

Core objects are pre-built objects that come with Quivly. They cannot be deleted or renamed, but you can add custom fields to them. All core objects share a set of standard system fields (id, external_id, organization_id, is_active, metadata, created_at, updated_at) which are omitted from the tables below for brevity.

Customers

The central object representing your customer accounts. All other objects reference back to a customer. Data sources: CRM (Salesforce Accounts, HubSpot Companies), enriched by billing, support, and enrichment data

Contacts

Individual people within customer organizations. Data sources: CRM (Salesforce Contacts, HubSpot Contacts)

Opportunities

Sales opportunities including new deals, renewals, and expansions. Data sources: CRM (Salesforce Opportunities, HubSpot Deals)
Allowed values:
  • Opportunity Type: new, expansion, renewal, retention
  • Stage: qualification, proposal, negotiation, closed_won, closed_lost
  • Status: open, won, lost, abandoned

Subscriptions

Recurring billing subscriptions from your payment platform. Data sources: Stripe Subscriptions
Allowed values:
  • Status: active, past_due, canceled, unpaid, trialing, incomplete, incomplete_expired, paused
  • Collection Method: charge_automatically, send_invoice

Invoices

Billing transactions and payment history. Data sources: Stripe Invoices
Allowed values:
  • Status: draft, open, paid, uncollectible, void
  • Billing Reason: subscription_create, subscription_cycle, subscription_update, manual
  • Collection Method: charge_automatically, send_invoice

Support Tickets

Customer support requests and issues. Data sources: Pylon Issues
Allowed values:
  • Status: open, pending, solved, closed
  • Priority: low, normal, high, urgent
  • Type: question, incident, problem, task
  • Channel: email, chat, phone, web, slack

Call Recordings

Customer call transcripts and summaries. Data sources: Fireflies, Fathom

Market Signals

External intelligence about customer companies. Data sources: Quivly data enrichment Signal types: Funding rounds, Hiring, Layoffs, Acquisitions, Leadership changes

Product Usage

Customer usage metrics from your data warehouse. Data sources: BigQuery, Snowflake, ClickHouse