GorgiasTable

Analyze Gorgias tickets for customer pain themes

Analyze recent Gorgias conversations to quantify recurring product, policy, fulfillment, pricing, and support pain themes for CX, product marketing, and CRO.

Run playbook

Overview

A Gorgias support theme analyzer turns recent customer tickets into a voice-of-customer report for CX, product marketing, and CRO. Juno reads support conversations, groups recurring pain points, and shows which issues are frequent, severe, and worth fixing first.

This playbook is especially useful when customer complaints feel scattered. One ticket mentions returns, another flags discount confusion, another asks the same pre-purchase question for the tenth time. The analyzer turns that noise into a usable theme tracker.

Why you should turn support pain into marketing decisions

Support conversations are often the earliest place customers explain what confused them, blocked them, or made them hesitate. Those details can point to sharper product pages, clearer policies, better campaign promises, and more useful help content.

For ecommerce teams, the themes often connect directly to conversion friction. Baymard's ecommerce UX research has long documented how product information, checkout, shipping, and return details affect shopper decisions, and its research library is a useful reminder that small points of confusion can carry real commercial weight.

The value of this playbook is focus. Instead of asking the team to read every ticket, it gives them a ranked set of customer pain themes with evidence, severity, and recommended fixes.

Step-by-step

  1. 1
    Confirm the analysis window and filters, such as the last 30 days, a product line, a campaign period, a customer segment, or tickets tied to returns and refunds.
  2. 2
    Review recent Gorgias conversations with enough detail to understand the customer's issue, the team response, the outcome, and any useful tags or customer context.
  3. 3
    Group tickets into plain-language themes, such as shipping estimate confusion, discount code failures, product fit uncertainty, subscription cancellation friction, or unclear return policy.
  4. 4
    Quantify each theme by volume, severity, affected segments, likely business impact, and confidence so the team can separate recurring pain from isolated anecdotes.
  5. 5
    Recommend practical next actions, such as rewriting page copy, updating a help center answer, creating a macro, reviewing a policy, briefing product marketing, or adding a CRO test.

Frequently asked questions

Is this only for support teams?

No. Support teams benefit from cleaner themes and macros, but product marketing, ecommerce, and CRO teams can use the same report to fix unclear messages and reduce preventable contacts.

How recent should the ticket sample be?

Use the last 30 days for a general read. Use the last 7 days when a launch, incident, promotion, or seasonal spike may have changed what customers are asking.

What should the output include?

The output should include a reusable theme table and a short brief covering top patterns, business impact, confidence, examples, and recommended actions.