Blog
Tips and advice joined in regular blog posts from experts at Databox on how to help your business focus on the things that really matter.
How to Diagnose a Sudden Lead Drop With AI: Step-by-Step Prompt
A six-step AI diagnostic workflow with copy-paste prompts to find out exactly what broke in your B2B funnel, and whether the problem is even where ...
by Nevena Rudan · Jun 5
How to Run a Campaign Post-Mortem With AI: A Worked Example
TL;DR Introduction A marketing director sits down ten days after her campaign closed. Six browser tabs are open: LinkedIn Ads, HubSpot, GA4, Mailchimp, an attribution ...
by Nevena Rudan · Jun 4
Speed Became Free. Your Analytics Budget Didn’t.
The fastest way to answer a business question used to be expensive: an analyst on staff, a clean warehouse, a dashboard for every recurring ask. ...
by Nevena Rudan · Jul 8
Why AI Agents Need a Semantic Layer (and What That Actually Means in 2026)
TL;DR Everyone is racing to put an AI agent on top of their data. Almost nobody is asking whether the agent can be trusted to ...
by Miha Pavlinek · May 29
Google Ads Forecasting: The 3 Methods That Actually Work in 2026
Google Ads forecasting is the practice of projecting future campaign performance, including spend, clicks, conversions, CPA, and ROAS, based on historical account data, planned budget ...
by Nevena Rudan · May 26
How to Connect Business Data to Claude (and Actually Get Accurate Answers)
TL;DR Introduction You ask Claude what your MRR was last month. The answer comes back fast, formatted cleanly, stated with total confidence, and completely wrong. ...
by Nevena Rudan · May 22
How to Create an AI-Generated Business Report in 2026 (Step-by-Step)
Get AI-generated reports that explain why your metrics changed, not only what happened, using connected live data, specific prompts, and a six-step process. TL;DR Every ...
by Nevena Rudan · May 21
How AI-Driven Insights Improve Business Decision-Making
TL;DR Eighty-five percent of business leaders have suffered from decision distress — regretting, feeling guilty about, or questioning a decision they made in the past ...
by Nevena Rudan · May 20
The Marketing Manager’s Guide to Questioning AI-Generated Analytics
A five-question audit, with the exact prompts to paste, walked through on a real LinkedIn CPL spike. TL;DR Introduction It is Wednesday morning. A marketing ...
by Nevena Rudan · May 26
Business Analytics Solutions With Embedded Generative AI: An Executive’s Guide to What’s Real in 2026
Every analytics vendor claims AI. Few can prove their AI is doing real analytical work. Here is what executives need to verify before committing budget ...
by Nevena Rudan · May 15
What “AI-Ready Data” Actually Means And How to Tell If Yours Is
TL;DR Introduction You turned on an AI feature in your analytics tool. It surfaced an insight about your pipeline. You looked at it, paused, and ...
by Nevena Rudan · May 15
The Best AI Tools for Data Analysis in 2026
Most AI analytics tools added a chatbot to a dashboard and called it intelligence. These eight actually change how fast your team goes from question ...
by Nevena Rudan · May 28
How to Prevent AI Hallucinations: 3 Hidden Threats When AI Analyzes Your Data
TL;DR Introduction A VP of Marketing presents an AI-generated performance review on a Monday morning. The CAC numbers are clean. The trend lines are directional. ...
by Nevena Rudan · May 26
How to Use AI in Data Analytics: 6 Capabilities That Change Who Uses Your Data
The shift isn’t faster reports — it’s a wider question-asking surface. TL;DR Introduction How many people on your team can get a real answer to ...
by Nevena Rudan · May 8
Is BI Dead? No, But Its Monopoly Is
A debate is running through the data and analytics community: BI is dead. The framing is wrong. The honest version of the argument points to ...
by Davorin Gabrovec · May 7
New: Close The Gaps In Your Reporting Stack With Custom Integrations
Most teams work across dozens of tools, and not all of them connect to their reporting workflows out of the box. There are always sources ...
by Monise Branca · May 8
The Ecosystem-Led Growth Playbook: How Clay Built a Community That Sells
Most SaaS companies follow the same growth script: hire sales reps, run ads, build a demand gen engine, and hope the pipeline holds. Instead, Clay ...
by Špela Jurič · Apr 29
9 Real Prompts to Ask AI About Your Stripe and QuickBooks Data (And How to Extend Them)
A working starter pack for finance and functional leaders — plus what to ask next once the conversation opens up. TL;DR Introduction You’re twenty minutes ...
by Nevena Rudan · Apr 27
Questions to Ask AI About Your Sales Pipeline and CRM Data
The right question returns a deal name, an owner, and a dollar value. The wrong one returns a framework about pipeline health. The difference is ...
by Nevena Rudan · Apr 24
Agentic Analytics in Practice: How AI Moves from Answering Questions to Closing the Loop
I spent years building dashboards that nobody used. Not because they were bad dashboards — they were actually pretty good. Clean visualizations, real-time data, all ...
by Alexander B. Pavlinek · Apr 23
Questions to Ask AI About Your Marketing Data (HubSpot, GA4, Google Ads)
50+ platform-specific questions drawn from the Databox Prompt Library, plus the framework that separates answers you can act on from answers that sound right. TL;DR ...
by Nevena Rudan · Apr 21