Practical guide to website operation data analytics: a complete review of key indicators

at the moment when the traffic dividend is gradually fading, website operations have long bid farewell to the extensive era of decision-making based on experience, and data has become the core breakthrough point for driving operation optimization. Although many operators realize the importance of website operation data analytics, they often fall into the dilemma of not being able to start due to complicated indicators and vague methods. This article will systematically sort out the practical logic of website operation data analytics from the dimensions of core indicators, collection methods, and landing applications, help you build a landing data analytics system, and use data to accurately guide the operation direction.

What are the core indicators of website operation data analytics?

clear core indicators is the first step to carry out website operation data analytics, different indicators correspond to different operational concerns, and need to be screened according to website positioning.

1, flow indicators

such indicators reflect the website's customer acquisition ability, mainly including unique visitor, page views, and the proportion of visitor source channels. Unique visitor reflects the user coverage scale of the website, page views reflect the overall depth of visit of users, and the proportion of source channels can help you identify high-value customer acquisition channels and provide a basis for subsequent traffic delivery adjustments.

2, conversion indicators

conversion is the core goal of website operation. Common indicators include conversion rate, order payment conversion rate, consultation conversion rate, etc. Through the loss nodes in the transformation path of website operation data analytics, such as the bounce rate of the registration page and the abandonment rate of the payment link, it can accurately locate the operating shortcomings and optimize the page design or process logic.

3, retention indicators

retention indicators directly reflect the user's recognition of the website, including Day Retention Ratio at Day 1, day 7 day retention rate, day 30 retention rate. New users Day Retention Ratio at Day 1 can measure whether the first visit experience is up to standard, long-term retention rate reflects the content or service stickiness of the website, which is a key indicator to judge the health of the website.

How can website operation data analytics collect data efficiently?

accurate data collection is the basis of website operation data analytics. Only when the data is true and comprehensive can the subsequent analysis conclusions have reference value.

1, with professional data analytics tools

current mainstream tools are Baidu Statistics, Google Analytics, Youmeng, etc. These tools can automatically collect multi-dimensional data such as traffic, conversion, retention, etc., and also support custom event tracking, such as users clicking on specific buttons, downloading data, etc., to meet the basic needs of website operation data analytics.

2, event tracking supplementary collection of segmented data

for the segmentation behavior that the tool cannot automatically capture, it can be realized through code event tracking, such as the user's stay time on the article page, comment interaction behavior, etc. Event tracking needs to plan requirements in advance to avoid excessive event tracking increasing the load of the website, and ensure the accuracy of website operation data analytics and website performance balance.

3. How does website operation data analytics guide operation?

website operation data analytics is to guide operation optimization, and it is necessary to transform the analysis conclusions into executable operation actions to avoid falling into the misunderstanding of "analysis for analysis".

1, Optimize customer acquisition strategy based on traffic data

through the website operation data analytics found that a search engine channel visitor conversion rate is much higher than other channels, can increase the channel's keyword delivery efforts, while optimizing the landing page content and search keywords matching degree, further enhance traffic accuracy; if a social platform visitors bounce rate is too high, you need to adjust the style of drainage content, make it more suitable for website positioning.

2 Optimize user path based on conversion data

if data analytics shows the attrition rate of the registration page reaches 60%, the number of fields of the regedit form can be adjusted through A/B testing, such as reducing the required fields from 8 to 3, and optimizing the typesetting design of the form to reduce the user's filling threshold; for the loss of payment links, coupons can be increased, pop-up windows can be simplified payment steps and other ways to improve conversion.

common misunderstandings of website operation data analytics need to be avoided?

carry out website operation data analytics, if you fall into a cognitive misunderstanding, you are likely to draw wrong conclusions, but mislead operational decisions.

1, excessive focus on vanity metrics

some operators excessively pursue surface data such as page views, but ignore core metrics such as user retention and conversion. For example, a website has a high number of page views, but the user stays for only 10 seconds. This kind of traffic is mostly invalid traffic and cannot bring actual value to the website. Website operation data analytics needs to focus on metrics that are strongly related to business goals.

2, isolated analysis of a single data

look at a single indicator often can not reflect the real operating conditions, such as unique visitor growth but conversion rate decline, may be insufficient new traffic accuracy, need to combine the source channels, user behavior and other multi-dimensional data cross analysis, in order to draw an objective website operation data analytics conclusion.

To sum up, website operation data analytics is a complete system from index sorting, data collection to landing application. The core is to screen key indicators around business goals, replace empirical judgments with accurate data, and avoid cognitive misunderstandings. Through systematic website operation data analytics, it can help you accurately locate operational shortcomings, optimize customer acquisition, conversion and retention strategies, and ultimately realize the double improvement of website operation efficiency and value.