How to do website operation data analytics? FAQ solutions

at the moment when the traffic dividend is gradually receding, the degree of refinement of website operation directly determines the transformation of user retention and business value, and website operation data analytics is the core breakthrough point to realize refined operation. Although many operators realize the importance of data, they often fall into the dilemma of not knowing where to start, data interpretation deviation, and problem positioning. This article will sort out the landing method of website operation data analytics from the dimensions of practical operation process, indicator disassembly, and problem solving, and solve common problems for everyone.

How to prepare for the early stage of website operation data analytics?

early preparation is the basis for accurate and effective data analytics for website operation, which can avoid subsequent problems of data clutter and no reference standards, and make the analysis work more targeted.

1, clear analysis objectives and business scenarios

different business scenarios, the focus of website operation data analytics is completely different. For example, the new user's new stage focuses on the quality of customer acquisition channels, and the user retention stage focuses on the depth of visit and interactive behavior of the page. It is necessary to lock in the core demands of the current operation, such as whether to improve the conversion rate of the homepage or reduce the user bounce rate, in order to determine the analysis direction and avoid meaningless full data accumulation.

2, build a standardized data collection system

to ensure the accuracy and integrity of the data, it is necessary to build a collection system covering the full path of users, including traffic sources, page dwell time, button clicks, conversion nodes and other core data. With the help of Baidu statistics, Google Analytics and other tools, you can customize event tracking according to business needs, such as setting exclusive collection rules for key conversion buttons and core content sections to avoid missing key behavioral data.

How to dismantle the core indicators of website operation data analytics?

core indicators are the core breakthrough point of website operation data analytics. By dismantling indicators, we can quickly locate the advantages and shortcomings in operation and provide a clear direction for optimization.

1, flow indicators dismantling

traffic metrics include UV, PV, access time, bounce rate, etc., which need to be further dismantled from the source dimension, such as distinguishing the proportion and quality of search traffic, social platform traffic, and paid advertising traffic. For example, when the overall bounce rate is too high, the bounce rate of different channels can be split. If the bounce rate of a paid channel far exceeds the average, it can be judged that the channel users do not match the website positioning, and the delivery strategy can be adjusted in time.

2, conversion indicators dismantling

conversion metrics are a direct reflection of the commercial value of the website, including registration conversion, order conversion, consultation conversion, etc., which need to be disassembled into each node of user conversion. For example, users need to go through four nodes: product browsing, shopping cart addition, order submission, and payment completion from entering the homepage to completing the order. Through the attrition rate of each node of the website operation data analytics, the conversion bottleneck can be quickly found. For example, the attrition rate of the payment link is high, which may be that the payment method is not convenient enough or the page loads slowly.

How to troubleshoot the common problems of website operation data analytics?

in the process of website operation data analytics, there are often problems such as data abnormalities and interpretation biases. Mastering the troubleshooting method can quickly locate the root cause and avoid wrong decisions.

1, abnormal data fluctuation investigation

when the core metrics such as traffic and conversion fluctuate greatly, it is necessary to check whether the data collection is normal, such as whether there is event tracking failure, tool statistical rules change, etc. After excluding technical problems, combined with external environment analysis, such as whether there are industry hot events, competitive marketing activities, or whether they have recently adjusted their operating strategies, through comparative analysis to lock the cause of fluctuations.

2, Data interpretation deviation investigation

some operators are prone to fall into the misunderstanding of "only data theory", such as seeing a page PV high to determine the quality of the page, but ignore the length of stay, no follow-up conversion problem. Website operation data analytics needs to be combined with business logic comprehensive interpretation, such as PV high but stay length, may be the page is set as a jump entrance, rather than the user's active attention to the content, need to be combined with multi-dimensional data cross-validation, to avoid a single indicator misleading decision.

4. How to implement the results of website operation data analytics?

The ultimate goal of

website operation data analytics is to guide operation optimization. If it only stays at the level of data interpretation, it is impossible to achieve business growth.

1, formulate a layered optimization plan

according to the priority of the analysis results, a hierarchical optimization scheme is formulated, such as optimizing the page loading speed and conversion path for the problem of high attrition rate of the core conversion node; for secondary problems such as low access to some columns, the page layout and content recommendation logic can be adjusted. At the same time, quantifiable goals are set for each optimization action, such as reducing the attrition rate of the payment link by 10%, which is convenient for subsequent verification.

2, continuous tracking verification optimization effect

After the

optimization plan is implemented, it is necessary to continuously track the changes of the core indicators through the website operation data analytics. For example, after adjusting the layout of the homepage, observe whether the click through rate, conversion rate and user stay time increase. If the indicators do not meet expectations, it is necessary to re-examine the analysis process, check whether the optimization direction is deviated, and adjust the plan in time to form a cycle mechanism of analysis, optimization and verification.

sum up, website operation data analytics is the core work throughout the whole process of website operation, from preliminary preparation, indicator disassembly to problem investigation and implementation, each link needs to be closely linked to business needs. Through accurate website operation data analytics, it can effectively solve common problems such as low traffic conversion and poor user retention, realize dynamic optimization of operation strategies, and ultimately enhance the user value and commercial value of the website.