Big data use Collection

Source: Internet
Author: User
Keywords Product Operations
Tags address analysis analytics applied big data broadcast business business plan

If you have a business plan, does it include your expenses and your expected revenue?

When you pay for the internet, do you anticipate your internet speed? How fast are you uploading and downloading?

The same is true of your marketing budget. Does your budget include a reasonable forecast of your return on marketing spend?

When buying traditional broadcast ads, TO BE leaders work hard to cater to the selection of the right particular radio station and time slot.

The above method if applied to the Internet will be like the situation.

A recent study by Econsultancy and Lynchpin showed that only 10% of marketers believe most or all of their website analytics are useful. Mixing the results of the survey, 59% of marketers think their site analysis is less than 50% useful.

So to say, are site analysis data are clouds?

The answer is of course: It depends on the situation.

Researchers at the survey went one step further to ask those people whether they used the same method of calculation for both online and offline marketing. Not surprisingly, almost half (47%) said they did not These two together, or did not develop an overall business intelligence (BI) strategy.

Website analysis is more than just getting data from a web page and looking at what you're doing. Website analytics is a process that connects your investment in different marketing channels and then compares it with online results. Website analytics goes beyond reporting pageviews, bounce rates, and bounces. You do not dig the value of mining data, and then said that they have spared no efforts?

When the problem begins and evolves with money, the answer part of the question must also include the money. This means that if you are told how much money you spend on online marketing, you should answer the question, "How do we do?" With what we earned and how much we lost.

Your website analysis data must be able to analyze visitors from different sources (online and offline). It must be able to explain the purchase expenses. It must also be able to explain sales and how much money is saved for the company. All of these calculations must be measured by your business goals.

This is actually still relatively simple.

Here are some tips:

1. Like the offline store, not everyone who comes in is ready to buy, and some people come in to see if there is any information that can help them decide which product to buy, and some come in to see how the aftermarket service kind. Of course, some people are not potential customers at all. They may be looking for a job, or looking at the store's address and business hours. They are categorized by the content of the webpages they visit. Good website architecture can help.

Use money to measure work. Almost everything can be measured by money. This is of course well understood for sales. The person who subscribes to the news is interested in this. They give you their email address. Think about how much you recently paid for the leaderboard. How much you spend divided by these valid email address.

3. Help and support can also be quantified using money. If your customer service department is on a call-by-hour basis, then it depends on the hourly expenses and the cost of a call. If your customer service is toll-free, your expenses will be even greater. Usually a download will give your customer service part of the savings of 15 minutes of telephone charges. How much time is saved?

Website analysis is to analyze your web traffic data. The data itself is meaningless. The data is only numbers, the numbers are in any case scattered.

When you associate numbers, you get the message. When you put these messages out and apply them to your business goals. The information becomes a feedback-quality analysis that provides real action suggestions to make the process of analyzing data throughout the site better and then you start collecting data again.

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