Data Panda brings your HubSpot traffic 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.
HubSpot Analytics is the web-traffic surface inside Marketing Hub. It groups visitors into sessions, classifies each session into a default source bucket like organic search, paid search, direct, email or social, and reports sessions, new visitor share, bounce rate, session length and pages per session. Because the tracker shares an identity with the rest of HubSpot, the same report keeps a column for new contacts, new customers and the session-to-contact rate, which a standalone web analytics tool cannot do without a connector.
The connector pulls the daily aggregates the HubSpot Analytics API exposes: sessions and conversions per source, per page and per session bucket. Once those rows sit in your warehouse next to GA4, paid spend and the deal pipeline, the differences between the HubSpot session count, the GA4 session count and the count of contacts that converted become a number you can quote, instead of a discussion at the Monday meeting.
Sessions, sources and pages joined to deals and invoiced revenue, not stuck inside Marketing Hub.
Let HubSpot traffic signals fire actions in the rest of your stack.
Score traffic and content against the contacts and deals it produced.
Internal tools on traffic data that the HubSpot Analytics interface cannot show.
A list of concrete reports, automations and AI features we have built on HubSpot Analytics data. Pick the one that matches your situation.
Which traffic sources produce paying customers?
Source bucket linked to contacts created, then to deals closed, then to invoices paid, over a twelve-month window. Splits the source that brings sessions that pay from the source that brings sessions that look good in the weekly report.
Why does HubSpot show different session numbers than GA4?
Daily reconciliation between HubSpot Analytics sessions and GA4 sessions per source, with the consent and tracking-script differences laid out. The gap becomes a known constant per source instead of a recurring argument between marketing and analytics.
Which pages are losing their ability to convert?
Page-level session-to-contact rate over rolling windows, ranked by trend. The pages with collapsing conversion get attention before the monthly content review, not after it.
Marketing-spend conversations grounded in cleared revenue per source, not in HubSpot session counts. The number on the budget slide matches the number in the ledger.
Source and page history on each HubSpot contact before the first call. Reps know which blog posts and landing pages a lead read, instead of asking marketing after the meeting.
One reconciled view across HubSpot Analytics, GA4 and ad-platform reports. The recurring argument over which session count is correct becomes a documented delta per source.
HubSpot daily session and source data lands next to the GA4 event stream for the same site. Daily deltas per source surface where consent banners, tracker placement or attribution rules cause the two tools to diverge, so the marketing report and the analytics report stop telling different stories.
HubSpot Analytics sessions and pages join to the contact, deal and invoice records in the main HubSpot connector. Each blog post and landing page carries the deals it produced and the revenue those deals brought in, so editorial planning runs on cleared revenue instead of session counts.
HubSpot's paid search source bucket lands next to Google Ads campaign and keyword cost. ROAS gets calculated on the contacts and deals HubSpot recorded for those sessions, not on the conversion pixel alone, and Smart Bidding can feed on closed-deal value twelve months out.
HubSpot session data per page and source joins to Klaviyo email opens, clicks and orders. Email becomes a measurable layer in the source mix, with the share of paid revenue that follows a Klaviyo flow visible per audience and per send.
These are the 3 tables we currently pull from HubSpot Analytics into your warehouse. Query them directly in SQL, join them to the rest of your stack, or build reports on top.
Missing a table you need? We can extend the sync. Tell us what is missing and we will build it for you.
You keep the reporting tool you already have. We connect it to the warehouse where your HubSpot Analytics 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.
Three daily aggregate tables: Sessions Daily, Sources Daily and Pages Daily. Each row carries the metrics HubSpot reports in its traffic analytics tool, including sessions, new visitor share, bounce rate, session length, pages per session, and the contact and customer counts attributed to that source or page on that day.
The main HubSpot connector covers contacts, companies, deals, tickets, engagements and the rest of the CRM object model. HubSpot Analytics covers the traffic side: sessions, sources and pages. They sit beside each other in the warehouse, and the two together let you trace a paid invoice back to the page and source that produced the first session.
We review your HubSpot Analytics setup and the systems around it. Together we pick the first thing worth building.