Data Panda brings your Instagram Business 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.
Instagram is Meta's photo, video and Reels network, founded in 2010 by Kevin Systrom and Mike Krieger and bought by Facebook in 2012 for around one billion dollars. Today it sits past two billion monthly users and runs on a Business and Creator account model, with a Shopping surface, direct messages and creator tools on top. At the data level it exposes followers, media, Reels, Stories, feed insights and DM events through the Graph API, scoped to accounts that opted into business access.
The point of pulling Instagram into a warehouse is that organic reach is judged by Meta's own engagement score, on a window Meta picks, in an Insights tab that only shows the last thirty or ninety days. Next to Shopify orders, Klaviyo flows, HubSpot deals and Facebook Ads spend, an organic Reel that went viral can be measured against the paid orders, email opt-ins and pipeline it produced, not against saves and shares alone. The privacy boundary sits at the business account itself: consented analytics on owned content, no individual follower profiles pulled out of the app.
Reels, Stories and feed performance next to paid orders and email sign-ups.
Let Instagram signals drive the rest of the stack, not only the content calendar.
Turn organic content history into scoring that shapes the next post.
Internal tools on Instagram data that the Insights tab cannot show.
A list of concrete reports, automations and AI features we have built on Instagram data. Pick the one that matches your situation.
Which Reels produced orders, not just reach?
Reel-level views, saves and shares joined to Shopify orders and Klaviyo sign-ups in the week after posting. Ranks the Reels whose audience became paying customers next to the Reels whose numbers only looked good in the Insights tab.
How much of our organic audience is the same as our paid audience?
Follower base against the audiences reached by Facebook Ads during the same window, with overlap per campaign. Flags the paid spend that reserved attention from followers who were already engaged organically, so the organic and paid budget stop paying for the same eyeballs.
Are DMs producing leads our CRM never sees?
DM events with intent signals matched against HubSpot contact creation and Klaviyo list joins in the same week. Surfaces the business conversations that are answered in the app and never end up on a deal or in an email flow, so nothing gets dropped because it happened in Instagram.
Organic social measured against paid revenue and customer lifetime, not against saves and shares. The content budget defence moves from Insights screenshots to euros collected per Reel, Story and creator collab.
DM leads and high-intent follower behaviour land on the CRM contact with full context. Reps see the Instagram trail behind a lead instead of asking marketing which post brought them in.
Content calendar, creator partnerships and Shopping tags on one board, updated daily. Social decisions run on the same numbers finance closes the quarter on, not on whichever Insights view is open.
Instagram follower behaviour and Reel performance land in the same warehouse as Facebook Ads spend and audience data. The organic posts that earned reach become seed material for paid campaigns, and the paid audiences that overlap existing followers get flagged before the budget gets spent twice.
Product tags on Reels, Stories and feed posts join to the Shopify orders they produced, including refunds and fulfilment cost. Merchandising sees which content converts at margin and which tagged products get saved for later but never bought.
DM interactions that carry intent, think product questions, price requests and shipping asks, push into Klaviyo as tagged contacts with the post or Story that started the chat. The sign-up flow moves from manual copy-paste to a list that fills itself while the community manager is answering.
Reel views, saves and DM conversations push onto the HubSpot contact timeline where the profile matches. Sales opens the contact with the Instagram trail already there, and marketing scores leads on brand engagement that used to live outside the CRM.
These are the 6 tables we currently pull from Instagram 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 Instagram 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.
The connector pulls what the Graph API exposes for Business and Creator accounts that opted in: followers count and demographics at aggregate level, media objects, Reels and Story metrics, insights on owned content, and DM events on your own inbox. Individual non-business user profiles, private conversations outside your inbox and follower-level behaviour on other accounts stay behind Meta's privacy boundary.
Yes. Each Instagram Business account lands in its own warehouse schema with the Meta Business Manager hierarchy preserved. Multi-brand groups get per-brand isolation and a consolidated view at group level without flattening the account tree.
We review your Instagram setup and the systems around it. Together we pick the first thing worth building.