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Why should you analyze data and what data should you analyze?
Why should you analyze data and what data should you analyze?
Ilona Srebnicka avatar
Written by Ilona Srebnicka
Updated over a week ago

Why you should analyse data?

Data analysis is important for e-commerce professionals for a variety of reasons, including

  • It allows you to improve your marketing strategy
    Data analysis allows a better understanding of customer behaviour, preferences and needs. On the basis of this, e-commerce professionals can adjust their marketing strategies, focus on relevant target groups, personalise advertising messages and offer products or services that most interest customers.

  • Optimising the customer experience
    By analysing data, it is possible to identify where users encounter problems during navigation, the purchasing process or payment. Based on this information, appropriate changes can be made to the user interface, site structure or functionality to provide a better customer experience and increase conversions.

  • Optimising the purchasing process
    Data on customer behaviour on an e-commerce site provides information on when users abandon purchases or encounter problems during the payment process.

  • Monitoring performance indicators
    Data analytics allows e-commerce professionals to monitor key performance indicators (KPIs) such as conversion rate, basket value, abandoned cart rate, return rate, sales revenue, etc. Thanks to data analytics, it is easier for e-commerce professionals to monitor and evaluate KPIs. Based on this data, they can take appropriate action to improve sales performance, increase process efficiency and achieve better business results.

What data you should be analysing at edrone?

When it comes to edrone, analysing data related to revenue is key. First and foremost, e-commerce managers should focus on analysing the revenue generated by the edrone platform on a campaign-by-campaign basis.

Revenue analysis allows you to identify which campaigns are the most effective and profitable. This allows you to optimise the allocation of marketing resources and budgets, focusing on those campaigns that deliver the best results. Making adjustments to these campaigns based on data analysis allows you to optimise their effectiveness and increase the revenue generated.

Furthermore, analysing revenue data allows you to identify any changes that are taking place in this area. This can include identifying upward or downward trends in revenue, analysing the impact of specific factors on changes in revenue, and identifying periods when revenue is highest or lowest. This information is extremely valuable for making strategic decisions and adjusting marketing activities to maximise revenue.

The findings from edrone's revenue analysis provide valuable insights for e-commerce managers, allowing them to make informed, data-driven decisions. Revenue analysis allows for continuous improvement of marketing activities, personalisation of the offer and maximisation of the financial results associated with the edrone platform.

How do I analyse sent campaigns?

When analysing sent marketing campaigns, it is important to focus on analysing opens, clicks and activity among the audience base. This analysis provides valuable information to tailor the message to the audience.

  • Open analysis
    Monitoring the open rate allows you to assess the effectiveness of your subject lines and headlines. You can identify which subject lines and headlines attract the attention of your audience and generate more opens. Based on this information, you can adapt future campaigns to increase the open rate by using more attractive and engaging subject lines and headlines.

  • Click analysis
    Analysing the number of clicks on links in your messages allows you to understand which content and offers are of most interest to your audience. You can find out which products, promotions or articles generate the most engagement and clicks. Based on this data, you can focus on delivering content that most captures your audience's attention and generates actions, such as purchases or registrations.

  • Audience base activity analysis
    Analysing activity among your audience base allows you to identify the audience groups that are most active and engaged. You can segment your audience base based on their activity, for example regular customers, new users, inactive audiences, etc. This allows you to tailor your communications and offers to each segment to increase engagement and conversions.

Matching the message to the audience is key to successful marketing campaigns. Analysing the opens, clicks and activity of your audience base allows you to better understand your audience's preferences and behaviour. Based on this information, you can adapt your content, offers and advertising message to communicate more effectively with your audience and increase the effectiveness of your campaigns.

It is also worth noting that data analysis allows you to continuously improve your marketing campaigns. You can test different variations of content, headlines, layouts and offers and then analyse the data to identify the most effective elements. This allows you to iteratively improve and optimise your campaigns to achieve better results.

How often to analyse reports?

Data should be analysed regularly in order to monitor changes and revenues generated from the platform. We recommend analysing at least 2-3 times a week to have up-to-date information on marketing activities and results.

Analysing the data on an ongoing basis allows you to spot any irregularities, react to situations immediately and take corrective action where necessary. By regularly monitoring data, you can identify fast-changing trends, campaigns that are not achieving the expected results, or technical issues that may be affecting the effectiveness of your marketing efforts.

In addition, conducting deeper analyses and comparisons is recommended at least once a month. Within these more in-depth analyses, you can evaluate the effectiveness of different campaigns, compare results over different time periods and identify long-term trends. Such analyses help you understand which marketing strategies are most effective, which campaigns are delivering the best results and what factors are driving changes in revenue.

It is also important to consider key metrics for your business and goals, such as conversion rate, basket value or sales revenue. Analysing these metrics on a regular basis allows you to track your progress towards your goals and adjust your strategy to optimise your results.

Remember that data analysis should be a cyclical process that includes both tracking current results and deeper research. By doing so, you will be able to make informed decisions, adjust marketing strategies and achieve better e-commerce results

Need more help?

If you have any further questions about data analysis, please do not hesitate to contact us at

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