Data Panda brings your Gorgias data together with the data from the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and custom apps your team uses every day.
Gorgias is a helpdesk built specifically for ecommerce brands. Founded in Paris in 2015 by Romain Lapeyre and Alex Plugaru, it now runs a dual office between Paris and San Francisco and reports more than seventeen thousand brands on the platform, with Steve Madden, Glossier and BruMate among the names it puts on the front page. Tickets, conversations, customers, macros, CSAT surveys, chat sessions and agent activity all live behind a REST API, with Shopify, BigCommerce, Magento and WooCommerce orders shown on the same screen as the conversation.
The reason to pull Gorgias into a warehouse is that an ecommerce support queue is one of the noisiest signals you have about your catalogue, your fulfilment partners and your customers. First-response time and CSAT answer day-to-day staffing questions; which SKUs drive a third of the tickets, which fulfilment region quietly ruins your weekly NPS, and which AI Agent reply nudged a checkout over the line: those answers need Gorgias data sitting next to Shopify orders, Klaviyo flows and the rest of the stack.
Tickets, CSAT and AI Agent resolution in the same picture as Shopify revenue, refunds and lifetime value.
Let the rest of the stack react to what a Gorgias ticket already said about an order, a refund or a customer.
Use ticket history and AI Agent transcripts to score risk, cluster product themes and audit automated replies.
Internal tools on Gorgias data that the merchandising and CX leads keep asking support to produce as one-off reports.
A list of concrete reports, automations and AI features we have built on Gorgias data. Pick the one that matches your situation.
Which SKUs drive a third of our support load?
Ticket count per product against units sold over the last quarter, ranked. Surfaces the catalogue items whose support cost outruns their margin, so merchandising and quality know which suppliers and product descriptions to revisit before the next order.
Where is the AI Agent quietly closing tickets that come back?
AI Agent-resolved conversations split by reopen rate, escalation rate and CSAT, by topic. Exposes the paths the AI Agent technically handled but the customer reopened within seven days, so the resolution-rate headline stops flattering the real deflection rate.
Which fulfilment region or carrier is hurting our CSAT?
CSAT and ticket-per-shipment ratio split by destination, warehouse and carrier, over a rolling window. Names the partner combinations whose damage and delivery complaints are eating into the post-purchase score, with the order volume to back the conversation.
Cost-to-serve per acquisition channel and per SKU, with refund value tied to product and supplier. Margin discussions move from 'support is too expensive' to 'these three product lines lose money once support and refunds are counted'.
Pre-purchase chat impact on conversion, and high-LTV customer ticket history visible before a campaign or VIP outreach. Marketing stops emailing customers with an open complaint, and chat sessions get credited where they earned the order.
First-response, reopen rate and AI Agent quality on one board, with carrier and warehouse breakdown. Staffing and AI-tuning calls are made on measured outcomes, not on the dashboards Gorgias ships out of the box.
Open Gorgias tickets, refund-related cases and CSAT scores show up on the matching Shopify order and customer profile. Merchandising sees which SKUs drive complaints in the same screen as the order, and ops sees which fulfilment cycles produced the most reopen tickets the week after.
Customers with an open severity-tagged ticket or a recent negative CSAT are suppressed from active Klaviyo campaigns and flows until the case closes. Marketing stops emailing a customer in the middle of a refund argument, and the win-back automation triggers on the right moment instead of the worst one.
When a single SKU collects more than a threshold of damage, fit or quality tickets in a rolling week, a Slack alert lands in the merchandising channel with the order count, supplier and example tickets. Buyers act on the trend before the next purchase order ships.
Gorgias tickets, CSAT scores and tags push into HubSpot as timeline events on the matching contact. Marketing and CRM see the support history before a B2B-style outreach, and segmentation can exclude customers in active complaint without a manual list.
Customers with a recent negative CSAT, an open refund ticket or repeated complaints sync nightly into a Mailchimp audience used as a suppression list. Newsletters and promotions stop landing in the inbox of someone whose last conversation with the brand was 'where is my order'.
Tickets tagged as product defect, sizing issue or recurring quality complaint create monday.com items in the merchandising or product board, with the SKU, supplier and example conversation attached. The product team works the trend in their own queue rather than reading exported CSVs from CX.
You keep the reporting tool you already have. We connect it to the warehouse where your Gorgias data lives.
OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.
Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.
We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.
We set up the foundation. Your team builds on top.
Best fit Teams that already have a BI analyst or data engineer and want to own the build.
We build the whole thing, end to end.
Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.
You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.
Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.
No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.
Both are available. Metadata always lands: ticket ids, tags, channels, agents, CSAT scores, AI Agent paths and timestamps. Conversation text comes in when theme clustering, AI Agent quality audit or product-feedback work needs it, with PII redaction and retention agreed up front so customer messages only enter the warehouse under explicit controls.
Through the Shopify customer id and email already on the Gorgias ticket. We resolve the link in the warehouse so a single dimension joins ticket, order, refund and customer cleanly, including the cases where one customer has bought through multiple email addresses or as a guest checkout.
We review your Gorgias setup and the systems around it. Together we pick the first thing worth building.