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Databox Skills Marketplace - Free AI Analytics Skills for Claude

Jun 22, 2026 By Databox: AI-powered analytics that answers back In Databox
The Databox Skills Marketplace is a free library of AI analytics skills and workflows - download them, connect your Databox data, and get structured reports inside Claude in seconds. How it works: connect Databox MCP to Claude, run a skill with a single prompt, and Claude writes the analysis from your live data. No exports. No copy-paste. No manual setup. What's in the marketplace: All free. All built on Databox MCP.
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10 Best Google Data Studio (formerly Looker Studio) Alternatives for Analytics in 2026

Jun 19, 2026 By Nevena Rudan In Databox
On April 11, 2026, Google renamed Looker Studio back to Data Studio to end years of confusion with the enterprise Looker product. The rename did not change the underlying architecture: Data Studio remains a visualization layer, not a data integration platform. That means the moment you need sources beyond Google Analytics, Google Ads, and BigQuery, you are handling extraction, transformation, schema changes, and cross-platform normalization on your own, or paying for connectors that do it for you.
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How to Run a Campaign Post-Mortem With AI: A Worked Example

Jun 4, 2026 By Nevena Rudan In Databox
A marketing director sits down ten days after her campaign closed. Six browser tabs are open: LinkedIn Ads, HubSpot, GA4, Mailchimp, an attribution spreadsheet, and a blank doc that is supposed to become the post-mortem narrative. The meeting is in two hours. She knows something broke in the middle of the funnel (pipeline came in below target), but she cannot prove where or why until she reconciles numbers across all six sources.
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Why AI Agents Need a Semantic Layer (and What That Actually Means in 2026)

May 29, 2026 By Miha Pavlinek In Databox
Everyone is racing to put an AI agent on top of their data. Almost nobody is asking whether the agent can be trusted to act on what it sees. That is the wrong order. And the way most teams are trying to fix it — bigger context windows, more reasoning, another eval — is also wrong. The generative model stopped being the hard part of agentic analytics months ago. Wiring an LLM to a warehouse is a weekend project.
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How to Scale Paid Media Across 5 Channels Without Losing Visibility (Google, Meta, LinkedIn, TikTok)

May 25, 2026 By Databox: AI-powered analytics that answers back In Databox
Agencies hit the same wall every time they try to grow: who is going to actually run the campaigns, and how do you keep visibility across every client and every channel when you do? Ashish Chaturvedi, data analyst of Atidiv, walks through how Atidiv and Databox solve both sides of the problem. Atidiv handles campaign execution across Google Ads, Meta, LinkedIn, TikTok, and email. Databox gives you the visibility layer: one interactive view where you can see spend, revenue, and return across every channel without chasing updates in Slack, email, or spreadsheets.
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How to Connect Business Data to Claude (and Actually Get Accurate Answers)

May 22, 2026 By Nevena Rudan In Databox
You ask Claude what your MRR was last month. The answer comes back fast, formatted cleanly, stated with total confidence, and completely wrong. Not because Claude is broken, but because it was guessing. Claude has no live connection to your business data by default. It cannot query your CRM, pull from your ad platforms, or check your billing system. So when a marketing manager asks about their numbers, Claude either refuses or generates a plausible-sounding figure based on patterns in its training data.
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