If you use e-commerce billing, one of the first items will be \
Don’t focus on what can be clearly observed, that is, what is in front of you, but further observe the action. How people participate in website content. In the value retail store, understanding the time and reason measurement of shoppers’ abandonment of pages for traffic source competitors is just like understanding the behavior of shoppers is helpful to promote sales and improve shopping experience. The knowledge and insight on how to improve the website are of great help to improve traffic and revenue. . But you may think that none of them is particularly important. Maybe you don’t even realize the value of digital stores. Before we go any further, let’s see if we can eliminate these concepts. The
Based on 2016, 79% of Americans shop online, and the number is expected to increase further. Numbers don’t lie. If you don’t have a digital store (or at least a website), you need one. If you already have it, you should try your best to optimize it. Measurement tracking is the first step towards achieving the goal. The problem is that not all measures are the same. Moreover, if the focus is on mistakes, it will not pay off in the end. \
The problem with traffic values is that – in fact, any measure – ultimately makes no sense from a context free perspective. I know your site got x page views. However, you do not know where these click through rates come from, what the user has done on your site (if any), and why and how you were first discovered. You don’t know who they are as people and how they participate in your brand. These views can all be robots, and you may not know the difference between them. The website indicator to be considered is you. You should pay attention to website traffic. However, when viewing data, you must view the data with many other site survey items. This includes: The
Deviation rate: how many visitors leave the site only by looking at one page? This may indicate that your site has a major usability problem, or just doesn’t make a good first impression. Browsing habits: what path does the customer choose through the website? How do I move from one page to another? Average time spent on a page: how much time does each visitor spend on each page? Flow source: where is the flow source? Are they browsing your site organically, or are they participating in social media? CTA click through rate: how many of the people who visit your website are actually related to your click induced copy? How many people add products to their shopping cart or mailing list? Server side metrics: note page load time and server response time. The smaller the two numbers, the better. More metrics to consider conversion rates \/ Sales: your site visitors actually
Purchase product? For e-commerce, it is also important to classify these measurement items in the following ways: Flow source. How many of the people who find your site through natural search will buy from you? How about social media? Advertising? Equipment type. Do mobile users buy more than desktop users? Or do smartphone users generally give up shopping baskets? product What is the product or service with the highest conversion rate? How about the lowest one? New visitors vs. re visitors. What is the difference in conversion rates between new customers and revisited customers? Proportion of revisited customers: how many people will shop again during the successful transformation? Inventory change: how often does it take to re stock in? Give up the shopping basket: in all stores, some customers will give up the shopping basket, but if most people seem to throw away the shopping basket after the final stage of the sales process, the shopping basket may have problems. Average order amount: how much does each successful leader spend on your product on average? Product revenue: what is the highest revenue product? What about the least profitable product? Customer lifetime value: similar to that in the notes. Total revenue from customers until customers no longer use the store. What is it. Not only can you better manage inventory and track availability bottlenecks, but understanding the above metrics can help you decide how much money to invest to attract new leaders. The
However, you may have guessed that this is not the only data set to be tracked. And you’ll be right. So far, we have talked about your website almost exclusively and rarely about your audience. If you succeed, you need to sell something with two people, why just know the method. You have taken the first step towards understanding the target demographics by knowing your audience and tracking the measurement items described in the previous chapter. You know some general details about them. That is to say, what they buy, how they find the website, what they do when they arrive at the website, etc. In fact, if you want to improve the stores and strengthen the marketing activities, you will want to know more specifically. The
Ultimately, high-income millennials and low-income baby boomers participate in very different ways. The information for single parents is different from that for middle-aged bachelors. You’ll get the idea. Lead data is now harder to track than site measurements. Respect customers’ personal information. Whether the data of successful boot is collected through the mailing list or the subscription service, the reason for collection and the method of use are transparent. The first step is to carefully consider who the product will attract and what kind of lifestyle it can have. In this brainstorming session, we will configure several customer profiles. These configuration files shall include age, gender, physical location, income, nationality, personal and professional lifestyle, and matters to be met by the product. The
Here, the goal is to brainstorm and ultimately gather information that can provide more context for measurement. You can collect this data in several different ways. Research competition. Survey social followers. Use customer surveys. Mailing list or subscription service settings, etc. WordPress’s method of helping build better stores Maleat this time, some of you may be overwhelmed. We understand it – we’re here to impersonate you with quite a bit of information. You want to know how humans have the mental ability to filter all the data above. The
We don’t. We are not robots. This is why there are abundant analysis tools on the web
