Data Analysis

Measuring success: Instagram statistics & analysis tools

Instagram for business – part 3: measuring success

Monitoring success is an indispensable part of advertising, and social media marketing with Instagram is no different. But there is still quite a bit of uncertainty with this social network, where everything revolves around having the perfect picture. In reality, many businesses have no idea how successful their campaigns are. The potential for optimization often goes untouched, and the followers...

Google Data Studio for visual data analyses

Google Data Studio: setting the scene with your data

Data analysis is a purely theoretical matter for most people. But in order to provide the customer with information, it’s important to be able to visualize sets of data. With Google Data Studio, you can summarize data from different sources into one handy report. Our guide gives you an overview of Google’s latest offering.

Create your own visitor counter: How it works

Visitor counter: Create a counter for your website

At the start of the internet, a visitor counter on a website was a classic marketing instrument that significantly helped the success of a web presence. Today, the practical scripts are primarily used for presenting click numbers on specific content, such as videos or blog entries, as well as for collecting basic user data for web analysis. If you don’t want to rely on free or paid downloads, or...

What is data-driven marketing?

Data-driven marketing: from big data to smart data

Throughout the internet, users leave behind digital footprints: whether it’s while browsing your favorite sites, taking a look at different products or offers, or even just googling an address. With the help of analyses and algorithms, data-driven marketing makes it possible to connect the dots and find relationships. Marketers are able to extract important information from these findings in order...

Newsletter KPIs: indicators in e-mail marketing

Click rate & opening rate – newsletter KPIs in e-mail marketing

In e-mail marketing, KPIs (Key Performance Indicators) are extremely important for analyzing campaigns. Various indicators can help you to determine the final success rate of your marketing activities. But how exactly can you measure metrics like a newsletter’s conversion rate, opening rate, and click-through rate? And which other KPIs are important?

Kibana tutorial

Kibana dashboard tutorial for beginners

If large amounts of data have to be indexed and structured, the license-free engine, Elasticsearch, is a popular solution. The Kibana web interface is often used to present the processed data in an appealing form. Together with Elasticsearch and Logstash, this forms the so-called ELK stack. In our Kibana tutorial, we explain step by step how to get the server application Kibana up and running and...

KPIs in online marketing

Key performance indicators (KPIs) in online marketing

In the world of online business there are various performance indicators which are used to measure the success or failure of a business. In the e-commerce and publishing sector, analytical tools enable you to develop various optimization measures based on KPIs as well as allowing you to get the most out of individual pages and campaigns. The tools can be used to uncover any weaknesses and show...

Demand generation

Demand generation – strategy for sustainable customer relationships

Demand generation and lead generation are two fundamentally different concepts, but are often used interchangeably. A prospective customer does not necessarily have to qualify as a lead in order to be valuable for economic gain. It could end up looking totally different, for example, when the customer or business partner enters into a long-term relationship with a company. Specialist know-how and...

Process mining

Process mining

Process mining applications provide methods with which you can reconstruct and visualize processes using event data. The goal is to prepare implicit process knowledge in such a way that you make it available to employees and applications as explicit knowledge. Read how this works and what advantages and disadvantages are associated with it.

A comparison of data mining tools

Data mining tools for better data analysis

In the digital age, it’s normal for data from small and medium-sized companies to grow to unmanageable amounts. Data mining tools are used to extract desired information from data sets. These extract recurring patterns from the data and make them available to marketers and statisticians. We have compared the most important data mining software and show where their strengths and weaknesses lie.

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