Tutorials & Best Practices

A walkthrough of how DeepChat BI's Ad Decision Center helps you analyze and optimize advertising performance — turning raw ad data into clear, actionable decisions.

A look at how DeepChat BI helps sellers understand the true profitability of each SKU — going beyond revenue to reveal which products actually contribute to your bottom line.

Dashboards flatten expertise. Decisions restore it. This paper argues that agencies who win the next decade will not be the ones who ship the most data, but the ones who can defend decisions with explainable reasoning — without surrendering authority to tools.

Agencies don't lose clients because they say no. They lose clients because they say yes to things they can't defend. This paper argues that disciplined boundaries are one of the strongest trust signals an agency can send — and that the most credible agencies refuse to guess.

Agencies don't scale by automating analysts away — they scale by amplifying analyst judgment. This paper argues that the analyst, not the dashboard or the model, is the real product agencies sell. Systems that obscure analyst reasoning don't scale agencies. They hollow them out.

DeepChat BI helps agencies turn ad performance data into consistent explanations and automated weekly reports, with decision support for budget scenarios and attribution models—so teams can move faster from insight to action.

DeepChatBI has been selected for the BytePlus V-Start Global Accelerator Program, receiving full-stack support to accelerate conversational BI.

Why conversion rate is an outcome, not a lever. A DeepChatBI white paper on CVR across Google, Meta, and TikTok.

Five decision layers: traffic quality, conversion economics, paid efficiency, customer value, and operational constraints. A shared language for healthy growth.

Dynamic budget, creative shelf life, funnel diagnosis, and AI pattern discovery—use data to break the growth black box and make every ad dollar count.

A deep review of 47 stores and $2.3M in real ad spend: tracking accuracy, creative half-life, technical infrastructure, and algorithm dividends—from experience-based to algorithm-based competition.