Analyze your Kustomer data with AI today.
Build dashboards, automate reports, and ask questions in plain English — all from your Kustomer data, no complex infrastructure to maintain.
Have multiple Kustomer accounts? Analytics across multiple Kustomer accounts →
Want it to watch your Kustomer data and act on its own? Meet the Kustomer agent →
Everything Kustomer exposes, modeled and queryable.
Extracts Kustomer customer service CRM data, including customers, companies, conversations (tickets), messages, notes, custom objects (KObjects), attachments, tags, teams, users, shortcuts (macros), SLA policies, and custom field definitions. This enables analysis of customer profiles, support volume and resolution metrics, agent performance and staffing, SLA adherence and policy changes over time, and taxonomy/metadata used to categorize records. Supports both US and EU Kustomer regions.
Tables & streams
Represents individual end users/contacts with profiles and history; enables segmentation, cohort analysis, and understanding of support demand and satisfaction by customer attributes.
Represents organizations/accounts linked to customers; supports account-level analysis of support volume, health, SLA adherence, and escalations across related conversations.
Represents a support case from creation to resolution; enables metrics like case volume, backlog, first response and resolution times, and SLA compliance by channel, team, or tag.
Individual inbound/outbound communications within conversations across channels; supports response-time calculations, message counts per ticket, channel mix, and agent workload analysis.
Internal agent notes attached to customers or conversations; used to analyze collaboration, handoffs, and case context for quality reviews.
User-defined objects linked to customers or conversations; enables domain-specific KPI modeling and joins beyond the standard schema.
Files associated with conversations (images, documents); supports analysis of attachment prevalence, types, and compliance considerations.
Current and historical SLA configurations; used to measure adherence and breaches and to analyze the impact of policy changes on responsiveness and resolution performance.
Taxonomy used to categorize customers and conversations; enables segmentation, routing analysis, and topic/issue trend reporting.
Support teams and their structures; enables workload distribution, queue performance, staffing capacity, and cross-team comparisons.
Support agents with roles and profiles; supports KPIs such as first response time, resolutions handled, productivity, and utilization.
Agent-created canned responses and automations; enables analysis of macro adoption, standardization, and time saved across teams or channels.
Uses an API key from your Kustomer account sent as a Bearer token
Requires a Kustomer account to connect.
Three steps. One afternoon.
Authenticate Kustomer in a few clicks. OAuth, API key, or IAM role — we handle secrets and rotation.
We pull every stream into your warehouse. CDC where the API supports it; full + incremental otherwise. Hourly-or-faster, row-level secure.
SQL, dashboards, or ask Fi in plain English. Your Kustomer data lives next to every other source — ready to join.
We'll set up a live sync and answer your first questions — on the call.
Build your own with the Definite SDK, or request it. Most go live in days.
Pair Kustomer with the rest of your data.
Join Kustomer with the rest of your data, then ask Fi questions across all of it.
