{"id":1297,"date":"2018-01-25T20:52:45","date_gmt":"2018-01-25T19:52:45","guid":{"rendered":"https:\/\/capturly.com\/blog\/?p=1297"},"modified":"2022-04-29T10:08:11","modified_gmt":"2022-04-29T08:08:11","slug":"can-you-predict-the-future-of-your-business","status":"publish","type":"post","link":"https:\/\/capturly.com\/blog\/can-you-predict-the-future-of-your-business\/","title":{"rendered":"Predict the Future of Your Online Business? Impossible.. Without Website Analytics"},"content":{"rendered":"

When it comes to business planning and decision making, the demand for the ability to prospect the future is growing rapidly. With business analytics, companies can get an insight into where are they standing and where they are heading. Data and statistical methods make it possible to understand business performance and the expected (impending) impacts.<\/span><\/i><\/p>\n

Competitive advantage, efficiency and customer satisfaction increase. As if predictive analytics was a miracle tool for companies. In addition to all its benefits, you may have to face some disadvantages.<\/span><\/i><\/p>\n

The goal of this article is to give you a picture of the benefits and disadvantages, so you don\u2019t have to experience everything empirically.<\/span><\/p>\n

Data only has value <\/span>if you know how to deal with it<\/b>. If you look at website analytics, you have a lot of options to collect quantitative data. But, as they say, the devil lies in the details. In the case of website analytics and user experience, this means that you need to collect and process qualitative data also. This is where <\/span>advanced website analytics tools<\/a> come into the picture. If you combine the utility of these tools with the flexibility of predictive analytics, samples and patterns become recognizable. Your next step will be based on a series of insights rather than guesswork.<\/span><\/p>\n

|But why do I say \u201cif you combine\u201d?<\/span><\/p>\n

Because not every analytics is predictive<\/b><\/h3>\n

Analytical tools can be used to analyze large amounts of data with complex mathematical and statistical algorithms. But the term \u201canalytics\u201d is used in a very broad way. <\/span>PA is a subfield of these methods<\/b> used to identify future trends and behavior patterns. For example, most of the common tests done by web companies are focusing on the term \u201cvisitor\u201d. They track visitor movements, and how they behave. This is a traffic-driven, one-time relationship with the customers, where the main goal is to determine. The traffic comes from. In a visitor-centered business model, common metrics include “time spent” or “click-through rates”.<\/span><\/p>\n

Then there are the users. At first, both might sound the same, yet, users represent a long-term relationship. <\/span><\/p>\n

Dave McClure (blogger) defined <\/span>five important steps in the customer lifecycle<\/span><\/a> in a user-centered model. <\/span><\/p>\n