Shulou(Shulou.com)06/01 Report--

This article mainly explains "how to make the website data more valuable". The content in the article is simple and clear, easy to learn and understand. Please follow the editor's train of thought. Let's study and learn "how to make website data more valuable"!

1. One filter, two groups, three subdivisions

Although the amount of data analyzed by the website (traffic) is huge, the daily data generated by website logs, order data, commodity data, membership data and so on with a UV of more than 100,000 UV / day are generally raw data in G units. But it is also easy to lead to some wrong conclusions. Because the JS code is executed on the client (when the browser loads the web page), there are many inherent errors that cannot be avoided unless you filter the data. In addition, if the data is not broken down, the contents of the top10 and TOP50 lists often don't change much from time to time. Therefore, when analyzing, it is best to look at the TOP50 under each major category, and it is easier to find some data anomalies.

2. Subdivide customer types

Regular user types: new visitors, potential users (visited many times but not registered), members, allied customers, company employees. Different types of users visit websites in different industries. The behavior of members may be completely different from that of potential users. (translator's note: because different types of users come to the site for different purposes, members may come to buy something. Potential users may just come to see or compare prices. Members sometimes let the conversion rate index appear false high, often the conversion rate of employees within the company will be relatively high.

3. Make an epoch-making for the type of channel.

The types of channels are mainly divided into: paid and natural traffic, paid media and free media, internal and external advertising, and alliance. Many website analysis tools provide basic traffic breakdown reports, but without additional tracking code, it may be difficult to surpass the three basic types.

Some key traffic channel segments must consider adding some code, including: if some social channel sources (some people analyze the reposting or posting of your site's content), own social media channels (such as the official home page on youtube or facebook; paid or natural search; natural reference links (like other sites reprint your content and then add the original link), general website link exchange. Otherwise, the traffic tracking of these channels may not be able to count.

4. Carefully check the code added by natural traffic

The natural traffic of many websites is often unreliable because the added code is often of poor quality. Please carefully check that your email, social media, relocation or mobile traffic monitoring code is prepared and completely correct, so that you can enter the natural input that is more ready to judge whether to count or not.

5. Subdivide the content by intention

The users of the website can be divided into: research, purchase, repeat purchase, negotiation and recommendation. The wrong people have different impressions of the content, so use these same content locations to name your site analysis report. Over time, continuously optimize the user experience by building a good purchase process funnel: research, visitors, purchases, transactions, and / or updates.

6. Use meaningful methods to classify product types

Just like you subdivide the purpose by content, in order to better pursue and thus better analyze / identify the configuration of products in the business, it is easy to make extended analysis.

7. Cross-platform data integration

Site analysis data should not be replaced by transaction data, integrating differences in analysis or recorded information used by different data sources. Draw the result from the recorded information, the two are not equal, the information does not express the conclusion.

8. Get closer to your customers

Many of the technical and scientific terms presented in the report do not seem to be significantly related to the interests of business shareholders. Change the content of the report so as to better reach your "audience" and make them better understand the report.

9. Suggest goals for each conjecture and test these predictions

A good website analyst predicts future trends through assumptions and rules found in the data, based on trends in the market as a whole. A great website analyst can give an appropriate explanation for guessing, so that you can evaluate these forecast goals for the next step, monthly, quarterly, and annual.

10. Link business drivers with subdivision & indicators

Your business is mainly focused on active acquisition of key products? Start segmenting your data, including key findings, around that focus.

Whether the audience you report continues to deepen your user service behavior, rather than just subdividing focused new user services and potential customers. Be consistent with the business and pay attention to all kinds of details so that your analysis your audience is willing to accept the analysis and keep it open.

Thank you for your reading. the above is the content of "how to make website data more valuable". After the study of this article, I believe you have a deeper understanding of how to make website data more valuable. the specific use of the situation also needs to be verified by practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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