Data Panda brings your Help Scout 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.
Help Scout was founded in 2011 as a deliberately simple shared-inbox tool for small and mid-market companies who did not want Zendesk's weight or Intercom's chat-first model. It powers more than twelve thousand customer-facing teams across 950 million conversations, with a help centre, shared inboxes, Beacon in-app messaging and AI assistance.
The point of pulling Help Scout into a warehouse is that a good support team is not measured on raw ticket count. The signal lives in replies-per-conversation, the conversations that never came back, and the product tags that keep showing up on the same customer. Next to CRM, Shopify, Stripe and product data, that conversation stream turns into a churn leading indicator, a help-article gap list and a priority queue for product, instead of a ticket volume chart that incentivises the wrong behaviour.
Depth, repeat rate and tag mix next to revenue and churn.
Let the stack act on what a conversation already said.
Use conversation history for scoring, clustering and deflection.
Small internal tools on Help Scout data that reporting dashboards cannot express.
A list of concrete reports, automations and AI features we have built on Help Scout data. Pick the one that matches your situation.
Which issues keep coming back on the same customer?
Repeat-contact rate within seven and thirty days, clustered on tag and product area. Separates the conversation that closed cleanly from the conversation that was closed and came straight back.
Which help articles are deflecting tickets, and which only rank on Google?
Help Centre article views per topic next to inbound conversation volume on the same topic, over time. Identifies the articles that reduce contact rate and the ones that just rank on Google without helping anyone.
Which accounts are about to cancel based on what they said this week?
Cancel-intent detection on conversation content, ranked by account revenue. Surfaces the accounts most likely to churn against their annual contract value, so CS knows which ten calls to make before the renewal date.
Support cost per customer and per segment, tied to contract value and retention. CS budget conversations move from headcount to cost per retained revenue.
Conversation history visible on the CRM account before a renewal or expansion call. Reps walk in knowing whether their account had two P1s this month, not just that the deal is up for renewal.
Reply depth, tag mix and agent outcome over time. Staffing and help-centre priorities are set against measured outcomes, not against what last week felt like.
Help Scout conversations and tag changes push into HubSpot as timeline events on the matching contact and deal. Sales sees the support context before a renewal and marketing stops emailing customers with an open severity-one.
Shopify order history, loyalty status and last shipment state show up on the Help Scout conversation of the matching customer. Agents stop asking for order numbers and the business sees which product complaints are costing paid orders the week after.
For Pipedrive deals in renewal or expansion, the recent Help Scout threads and tags surface on the deal card. A stuck renewal reveals itself as 'two open threads tagged billing' before the rep sends another follow-up.
Stripe payment and subscription state join the Help Scout customer profile, so agents see cancellations, failed payments and upcoming renewals without leaving the inbox. The answer to a billing question stops being a guess supported by a tab switch.
You keep the reporting tool you already have. We connect it to the warehouse where your Help Scout 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: thread ids, tags, timestamps, assignees, CSAT. Conversation content comes in when theme clustering or AI reply review needs it, with PII rules, redaction and retention agreed up front so message content only enters the warehouse under explicit controls.
Yes. Each Help Scout mailbox lands with the right brand dimension and a shared customer dimension on top. Multi-brand operations get per-brand reporting and a consolidated view at group level without merging conversation lists by hand.
We review your Help Scout setup and the systems around it. Together we pick the first thing worth building.