Data Analysis

Until today, as Zeo Agency, we have supported more than 300 different brands in digital to be more successful. During the data analysis process, we offer a rich range of services: from infrastructure studies focused on collecting detailed data about your visitors, to creating estimation analysis utilizing learning models; from data integration with third-party service providers to the creation of reporting interfaces.


A Summary for the Unfamiliar: Data Analysis

Data Analysis in Digital is the completion of analyzes by selecting correct data analysis techniques after collecting data which have sufficient details with accurate methods in the structures of correct databases.
Finding the correlation between the metrics of the data in the existing data sources used, the conversion of the information obtained from these into test scenarios, extracting stories of the information obtained from the data using the correct visualization methods, and making data-oriented decisions as a result of all these operations are within the scope of the field of data analysis.
Determining the positions of players in a sector, examining the changes in dynamics within the sector according to time and other metrics, and interpreting the results of the actions taken can be given as examples of the subjects analyzed in the data analysis.

How to perform Data Analysis?

Data analysis is basically applying the correct analysis method within statistical significance. It is important to know that correlation is not necessarily a causality every time, and the results obtained should have certain margins of error, and the results of the analysis should be presented in a way that is reproducible.
Analysis process should always start with a “Why?” question and continue by thinking how to construct analyzes that can answer that question. The analyst should be aware that not all theories put forward may be accurate, and even that in some cases there may not be enough data and/or data sources available to reach an answer, and should always be on the lookout for new data sources.

How does the Zeo team approach Data Analysis?

We construct data analysis processes on finding extra and more efficient data sources and obtaining the highest level of information we can acquire from them. We test the accuracy of the data we use in the analysis processes, act with the principle of not achieving any results rather than reaching a false conclusion, and we also present within which values the confidence intervals of the measurements we performed are distributed.
We do not limit our analysis to the tools currently used, we provide access to the most detailed data and external sources available, we collect data with data mining techniques, and present the most detailed analyzes available in today’s world by using machine learning and deep learning techniques.


The Process of Data Analysis

The Process of Data Analysis must be constructed with the right structure. You can examine the steps taken during the process of data analysis below:

Determination of the Problem
  • Preliminary Analysis
    The most important and fundamental step in the data analysis is the stage of problem determination. Here, the data obtained in terms of the website and user behavior can be subjected to a general evaluation process or a solution to a known problem can be sought.
  • Analysis of the Problem
    After the preliminary analysis is complete further analyzes are made on how to develop the subject that is identified as the cause of the problem and is needed to be improved, and a general notion is generated about the methods that can be used during this process.
  • Methods of Data Measurement
    How much of the existing and previous data are measured correctly must be known before performing the data analysis processes. If there is a range where the data are not measured correctly or where there are different approaches, the data in those ranges should be extracted from the data set.
  • Additional Data Sources
    The existing data types may be sufficient to solve the problem identified at the outset or fresh and diverse data types may be needed. In such cases, it is necessary to analyze how additional data can be found and how it can be used efficiently with existing data.
  • Determination of Time for Ample Data Collection
    If additional data or extension of data existing already is required, it should be decided how long it will take for this data to yield sufficient results for performing the necessary analysis. This length of this period can be determined according to the type of the analysis to be conducted depending on the problem.
Organizing the Data Measurement Infrastructure and Collecting Data
Data Analysis
  • Basic Data Analysis
    During the basic data analysis basic statistical analysis is performed on the collected data and thus the nature of the data is tried to be understood. Cases such as whether the data show different behavior in different clusters, what the intervals are, and what kind of changes happen over time can be examined.
  • Advanced Data Analysis
    During the advanced data analysis phase it is attempted to understand the modifications, or the information to be obtained by applying various models. The success of these models can be measured by dividing the existing data sets into two sets of test and development data. During this phase different models may produce different rates of success. Therefore, whenever possible, trying more than one model and interpreting the results accordingly will provide the most healthy results.
  • Testing of Information Obtained from Data
    If, for example, the data analysis is about conversion rate optimization, factors that increase the conversion rate can be tested in other areas. If an analysis is carried out on the SEM or Organic search, it is possible to continue to test the information obtained in similar areas.
  • Directing User Behavior
    User behavior can be comprehended through the information acquired from the analysis of the data set and can thus be directed to make the site more effective. As a result of these analyses, it is possible to understand in which segments and to what degree the previously tried methods have succeeded, so that future actions can be arranged in this context.
Application and Tests

What do our clients think about Zeo?

In our opinion, when an agency focuses on the process and moves away from producing results, it reduces its benefits to the customer. That’s why Zeo works on the strategy that will serve the client’s KPI’s right from the beginning of all SEO processes. As a result of the great cooperation we have with our customers’ teams, we achieve results we are proud of.


Success Stories of Clients with Zeo

In our opinion, a real success makes itself mentioned a lot. Moreover, in areas such as SEO and Performance where organized work is needed, this success is the result of a true team work. We sat before the camera with our clients which we created great jobs together and talked about the processes that brought us this success. In our last video, you can view our work as a Case Study by Google, in which we have proven ourselves on the Performance side in addition to SEO.


Monthly +10M traffic +%65 growth

Monthly +60M traffic +%870 growth

+%222 user growth, -%12 cost-per-acquisition,
+%45 ad return


Frequently Asked Questions About Data Analysis

You may have specific concerns right before you enter into an agreement with a new partner. First of all the time aspect of making a wrong decision in the process, during which you put forward some valuable time investment, will probably outweigh your financial loss. For this reason, we’ve compiled frequently asked questions from our customers over the years.

1. How is the data analysis used during the business development processes?
Companies that use data analysis in business development processes have a higher awareness about what action they will take at which step during the decision-making processes. Data analysis assists companies to identify current trends, comprehend structures and relationships within data, anticipate changes in the market and take action.
2. When is the best time to use data analysis methods?
Data analysis approaches are not one-time or particular-time ones, they are approaches that should be constantly optimized and applied. It is a process that progresses on the discovery, storage, and use of fresh and diverse data sources on a regular basis.
3. Which types of data are required for data analysis?
The data that can be used in data analysis are shaped by the questions raised before the analysis itself is performed. In order to collect data intended to understand user behavior, data from basic data tools may be needed, or additional sets of data can be extended and solutions from different perspectives may be used. For each different type of analysis, it may be necessary to apply different data types and approaches.

Which consultants will help you?

In Zeo Agency, the Data Analysis department works entirely on the basis of agile management principles. At the beginning of the project, the manager assigned to the project with the role of “Product Owner” is responsible for all project communications and strategies. All the work items to be made during the project are readied according to the briefs prepared by our team and our ScrumMaster and presented to you according to the PO’s control. We would like to introduce you to some of the names that will guide your Data Analysis strategy, in case we work together.

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