Detect. Inspect. The Pill. The Bill.

The framework for advicetising is a four-step algorithm. Let’s see how it works.

1. Detect

People need advice when they face a complex problem. In most cases, they are put in an unfamiliar situation or environment and they hardly understand how to deal with that. In this moment they are looking for help and advice.

Ironically, they may not find the right words to explain the problem. That’s why a more experienced advisor should be able to talk out the real needs.

From the technological point of view, the advicetising system understands the context and the intent of the person and find the right knowledge base containing relevant advice.

2. Inspect

Advisor asks questions to explore the situation and the problem. Questions may be a powerful guiding tool. Questions may be annoying. People hate being interrogated. People hate filling out forms.

The art and science of asking right questions are based on reducing uncertainty for the advisor and giving value for the client. Good questions help both the client and the advisor to observe the situation and come closer to a solution.

Technically the sequence of questions should be short, informative, entertaining and valuable. This is not a “built once” sequence. It should be adaptive, reacting on that client says.

To make it possible the knowledge base should be built of pieces of knowledge which allow adaptive sequencing. Every time the client gives an answer, the knowledge blocks are being reconsidered, and the best next question is selected.

3. The Pill

Advice is like a pill for a medical problem. Advisor analyses the symptoms, ask questions and gives relevant advice.

This type of reasoning is available if the knowledge base is organized. Advisor should have a clear understanding of cause-and-effect relations between knowledge blocks.

Every piece of advice should have certain preconditions and eligibility criteria to match the current situation and problems of the client. This matching is a multi-factor process. The criteria may be very different. The solution, time, location, price, profit, etc. Good advice is sensitive to all these factors. That’s why the questions are the part of the adaptive reasoning process.

4.The Bill

Advice is given and must be now paid and measured. Advicetising has the same monetization mechanism as traditional advertising. Advertisers pay for clicks, views, actions. The same thing with advicetising.

Measuring clicks and actions can help to estimate the quality of advice. Every positive or negative feedback reevaluates the individual advice and the reasoning mechanism as a whole. Understanding ROI is important. The more statistical data we analyze, the better question sequencing and advice matching we have.