Articles by Nevena Rudan
Nevena Rudan is a Senior Content Marketing Strategist at Databox, with 20+ years of experience in content marketing, strategy, research, and advertising. She specializes in turning customer research, proprietary insights, and market signals into content that drives business growth. Her work focuses on content strategy, AI-assisted content systems, and the evolving world of B2B discoverability.
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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 · Oct 8
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 · Oct 1
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 · Oct 8
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 · Oct 8
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 · Sep 24
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 · Oct 1
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 · Oct 8
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 · Sep 24
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 · Oct 8
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 · Oct 8
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 · Oct 8
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 · Oct 8
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 · Sep 24
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 · Sep 24
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 · Sep 24
7 Data Literacy Gaps (and Practical Strategies for Building Data Confidence Across Your Team)
Your company has more data than ever. Your dashboards are full. And your teams are still making decisions on gut instinct, misaligned metrics, and siloed ...
by Nevena Rudan · Sep 24
Dashboard Graveyards: Why Nobody Uses the Reports You Built (And What to Do Instead)
Most dashboards stop getting opened long before anyone admits it. Here is why and what to build instead. TL;DR Introduction You open the analytics panel ...
by Nevena Rudan · Sep 24
Your AI Tool Gives Confident Answers. Are They Based on Your Actual Data?
Most AI tools for business data sound authoritative even when they are wrong. The problem is not the model. It is the architecture behind it. ...
by Nevena Rudan · Sep 24
Are Your Executives Actually Making Decisions From Data Or Just Alongside It?
Most executives believe they are metric-directed. The evidence says they are metric-adjacent — and the gap is costing them decisions. TL;DR Introduction Monday morning. The ...
by Nevena Rudan · Sep 24
Why Did Revenue Drop This Month? How to Diagnose It Yourself (Without Waiting 3 Days for a Report)
You have the data. You just need to know which question to ask first. TL;DR Revenue dropped this month. You asked your team why. You ...
by Nevena Rudan · Sep 24