Search & shopping trends
Breaks down Naver DataLab search volume and shopping category trends by age and gender, so you time new products and campaigns right.
One AI agent runs the whole loop—reporting, performance analysis, budget moves, and creative ops—all in a single chat.
Brands using Pango Neuro










No more bouncing between ad platforms, spreadsheets, and docs.
Ask once—the evidence and your next step stay on one screen.
DV360
Google Sheets
Google DocsBlended ROAS is 412% (+18% WoW) — I've built the weekly report and exported it as an Excel file.
Blended ROAS
0%
Conversions
0
CPA improved
0%
Revenue lift
0%
Weekly cross-channel performance
Pulls the numbers from every platform and drafts the write-up for clients and your team.
We read the signals performance numbers alone can't show
across market trends, competitors, revenue, and offline data.
Breaks down Naver DataLab search volume and shopping category trends by age and gender, so you time new products and campaigns right.
Pulls competitor creatives running on Google, Meta, TikTok, YouTube, and Naver into one view.
Connect Naver Commerce (Smart Store) to see ad spend against real orders and revenue on one screen, with ROAS broken out by platform.
Pairs the monthly TV and radio ad inventory calendar with Seoul living-population data to nail down campaign timing and location.
Break the loop of building a report, hunting for the cause, then writing the fix all over again.
One conversation takes you from insight to sharing to your next move.
Brings Naver, Meta, Google, TikTok, Kakao, and GA4 performance together by workspace.
3 channels connected — gathering performance data
Not abstract automation. It starts with the work that repeats every week, like writing reports and reading performance.
AI pulls together the weekly number-crunching and summaries up front, so your team starts from a draft, not a blank page.
Spots the campaigns and creatives that slipped, then suggests why and what to fix first.
Questions, evidence, fixes, and write-ups stay in the thread, ready for the next meeting and next week's ops.
AI should help you run ads, but never act without permission.
Pango Neuro keeps data access and execution permissions separate.
Separates workspaces by client, brand, and team, and reads data only within the scope you've granted.
OAuth credentials and MCP tokens stay server-side, and the tools an agent can run are scoped to each workspace.
Chats, uploaded files, ad data, and AI outputs are never collected or used to train models.
Connect your ad accounts to Pango Neuro once,
and the same data and tools are ready inside AI apps like Claude Desktop.
Pull up Pango Neuro tools in the Claude app, ask about this week's performance, and get the report on the spot.
Account connections and permissions live in Pango Neuro — Claude just picks up that same connection.
Paste the server address into Claude and sign in through your browser — no keys to issue, no development, anyone on the team can start.
Blended ROAS 412% — I've put together the weekly report. You can download it as Excel too.
AI-app integration (MCP) is available only on supported plans.
$100 per workspace each month, with a 7-day free trial. Connect your ad accounts once and use them as tools inside the Claude you already use — one account per platform, per workspace.
Includes a 7-day free trial.
This plan is the MCP server only. Use it with your own Claude or another MCP client — a Claude subscription and the Pango Neuro chat app are not included.
Press coverage and the latest from Pango.
Absolutely. You don't need to learn each platform's admin console. Just connect your ad accounts and reports, then ask the way you normally would, like “How did we do this week?” or “Where should I shift the budget?” You'll get back performance summaries, root-cause analysis, budget checks, and creative insights.
Just the questions your team asks every week. “Summarize this week's performance across all channels,” “Find campaigns where ROAS dropped,” “Build a budget reallocation plan,” “Compare performance by creative,” “Draft last month's report” — that kind of thing.
It reads the actual numbers from your connected ad accounts, GA4, and uploaded reports, and answers from those. That said, when platform data lags or some conversion tracking is missing, the read can change, so we recommend having someone double-check before you move budget or edit campaigns.
No. Your chats, uploaded files, ad operations data, and the AI's answers are never used for AI training. Even when we call external AI models, it's only under terms that keep your data out of training.
No. The AI shows you the analysis and the proposed change first, and you decide whether to actually adjust a budget or an ad. Even automated tasks only run within the limits you've approved ahead of time.
Yes. From weekly and monthly reports to client-ready summaries and internal meeting materials, it lays them out as Excel files (.xlsx) you can download right away.
Start with a free trial or demo to see how it fits your real workflow. Then pick the plan that matches your team size and the features you need. For cases that call for a separate conversation, like agencies, we scope it out together in a consultation.
Yes. Pango Neuro is built on MCP (Model Context Protocol), an open standard — so AI apps that support MCP, like Claude Desktop, can use the ad accounts and tools you've connected to Pango Neuro as-is. Connections and permissions are managed once, in your Pango Neuro workspace.
See it on your own data—connect a live ad account, run the analysis, and get your first report, all in one place.