Polar Analytics

@codyschneiderxx Using @polar_analytics for this

Your finance team just spent 3 hours copy-pasting into a spreadsheet. The numbers were already wrong. This is the real cycle: export from Shopify. Pull from NetSuite. Paste into Excel. Someone asks "are these current?" Now the meeting is about data hygiene instead of decisions. That's backwards. We built the Claude Excel plugin at Polar to fix exactly this. Your finance team keeps working in Excel - but now the data is live thanks to our MCP. → Shopify data syncs automatically → NetSuite data syncs automatically → Forecasts reflect what's ACTUALLY happening right now → Finance spends time analyzing, not reconciling Damian reaction when he saw it said everything. Because the fix isn't "better spreadsheets." It's keeping Excel while removing the manual work that makes Excel painful. If your finance team lives in Excel, comment EXCEL, and I'll show you how to set this up. PS: @hormbles bars are amazing, and 140 cal ;)

@cmikulin @codyplof 💜

@codyplof I’m a huge Polar fan! Such a great platform with lots of customization.

Polar came though. My team is very impressed with their platform. Gonna have our data warehouse in Claude to cook with.

@codyplof ready to roll 🫡

@codyplof Boummmm let’s go @polar_analytics

UPDATE: We start on Monday. Easy to understand why @codyplof and the @jonesroadbeauty are in the top 10 Shopify beauty brands worldwide. They make moves with a sense of urgency, while others debate. Pumped to be their new data platform and feed their AI agents with trusted metrics. PS: thanks @Chillestdotcom for the assist.

We unify: Shopify revenue Cross-channel spend Blended MER CAC New vs returning mix Powered by @polar_analytics Not platform illusions. Real business math.

@polar_analytics man love seeing this. smart observation about automating inventory.

@binghott No sir I scaled this ad account from $500/day all the way up to $40k/day and I use @polar_analytics for over attribution it’s pretty tight 👁️

You don’t need more dashboards. You need a story: what worked, what didn’t, and what to do next. Polar MCP generates a Year-in-Review narrative + visuals from your DTC sources.

Your team is OOO. CEO wants a 2025 Year-in-Review deck by Jan 2. Polar MCP turns one prompt into a narrative + visuals. No SQL guessing. No metric hallucinations.

@madison_fiore grateful to work with you too!!

Spent Thanksgiving mostly offline. I need to do that more. 7 things I am grateful for this Thanksgiving: 1. Meetings that became Slack updates 2. @polar_analytics 3. Foreplay.co making creative decision making 10x eaiser 4. Clients that make great content at a high volume 5. Clients who QUICKLY make approvals (or disapprovals) 6. @LinkedIn . honestly. Thank you. 7. **the big one** REFERRALS. Thank you all for your referrals

Is it me or are we building the future? I ask -> How much sales did I make last week The AI pulls Shopify + Amazon instantly. Then -> Build me a daily forecast It drops -17 percent YoY. -> How do I reverse it It gives data-backed actions. Analytics just became a partner.

Very cool to see Polar Analytics listed as a requirement for this job! Revision Skincare is hiring an eCommerce Data Analyst: jobs.weekday.works/revision-skinc… Ping me for training ;)

Every operator I know has lived this nightmare. It’s Monday morning, you’re staring at dashboards, stitching CSVs, refreshing tabs. By the time you finally piece the numbers together, half your day is gone, and you still don’t know why ROAS dipped or which campaign actually drove sales. Leadership wants reports. Your team is asking for direction. And you’re paying the highest tax on ecommerce right now. Time. That’s exactly why we built the @polar_analytics MCP. Dashboards show you “what” happened. The MCP helps AI agents uncover “why.” You ask: “Why did my blended ROAS drop the last 3 weeks?” Claude pulls your live Shopify, Meta, Google, and Klaviyo data through Polar’s semantic layer. It checks CAC, LTV, even stockouts, then explains the drivers and proposes next steps. Now picture this. Every Monday morning, before your team sync, a polished 7-day executive summary is ready in your inbox. Topline KPIs, red flags, opportunities, and recommended next actions, all before you even open a dashboard. No pivot tables. No tab-hopping. No wasted hours. Just answers in seconds. As of today, the Polar MCP is out of Beta and lives as a standalone product. Anyone can sign up, connect Shopify, Facebook Ads, and Google Ads in one click, and start getting real insights immediately. Here’s a demo of the MCP by my co-founder, @charbseif Try it free for 7 days. After that, if you’re ready to scale beyond, our team will guide you the rest of the way. 👉 Give it a spin and let me know how much time you get back. Try the Polar MCP here: polaranalytics.com/ai/mcp

performance marketing without performance DATA is bs. Thats why we use @polar_analytics

We cut ecommerce reporting time by 95% with 1 AI prompt. Claude + Polar MCP → 45+ data sources. Minutes later: exec-ready brief (KPIs, insights, actions). Comment EXEC for the prompt + free 1-week invite.

I've been saying this for a while but @polar_analytics is about to crush their competitions, It's like having TW, NB, Haus and revroll at a fraction of the price with sometimes a better tech for a fraction of the price