Reporting

Numbers your CFO will quote in the next board meeting

CSAT, resolution time, deflection rate, agent performance — and revenue attributed back to support conversations.

SupportSyndicate is an AI customer support platform that handles web chat, WhatsApp, and email from a single inbox — trained on your own website, PDFs, and knowledge base. Most teams are live in under an hour. AI resolves up to 80% of tickets automatically.

Operational metrics

First-response time, resolution time, CSAT, agent throughput, queue depth — live and historical.

Deflection insights

AI deflection rate, knowledge gaps, intent distribution — see what's working and what to improve.

Revenue attribution

Tag conversations to orders. See revenue saved by support and revenue lost to abandoned chats.

The metrics that matter

Customer support analytics is the practice of measuring support performance across volume, speed, quality, and business impact. Core metrics include CSAT, first-response time, resolution time, AI deflection rate, and revenue attributed to support conversations — giving managers the data to justify headcount, surface knowledge gaps, and tie support activity directly to retention and revenue outcomes.

Most reporting in helpdesks stops at ticket counts. SupportSyndicate connects support metrics to revenue: which conversations led to checkout, which abandonments cost you a sale, and which agents close the most upsell opportunities.

SLA breach alerts hit Slack or email in real time. Monthly digests summarise CSAT, deflection, and revenue impact for your leadership team — no spreadsheet wrangling.

Common questions

Can I export raw data?

Yes — CSV exports of conversations, tickets, agent activity, and revenue attribution on Pro and Business plans.

Do you integrate with BI tools?

Yes — webhooks push events to Looker, Metabase, or your warehouse via Fivetran-style connectors.

Join 500+ teams using AI to handle support across Shopify, WhatsApp, and every channel.

Your competitors already automated support. Have you?

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