September
28
2014
Category: Tips, Blog

Businesses invest big dollars in data. They build a data warehouse, use the latest databases, hire data scientists and develop data collecting capabilities and visualization tools. Yet decision-makers still find it hard to get the right data at the right time. Open questions, unresolved issues and a generally fuzzy outcome is all too common. Most organizations have yet to consistently deliver relevant data to the right person at the right time.

September
24
2014
newpost

To get the most out of your data and to best analyze it, you must segment your users in a manner which would enable you to draw the most useful conclusions. We call this behavioral segmentation. We also recommend a commitment to an endless cycle of measuring, learning, applying changes and then measuring again. Analyze your data using Cohort Analysis. You’ve probably heard about it before, but what is it, really?

September
23
2014
Category: Product, Google, Blog
CoolaData Unique

We are often asked about the differences between CoolaData and Google Analytics (GA). GA is an excellent tool – its free version is used by millions of website managers to track pageviews and website trends all over the world. Google’s Premium version is also useful and popular, although available mostly in a handful of countries. We are huge fans of Google in general and we partner with Google Cloud Platform, so our focus here is on what makes CoolaData a unique and different tool.

September
18
2014

CoolaData views path analysis as an inseparable part of every analytics dashboard, but we also changed the way analysts use path, breaking it down in a way that’s never been done before to illustrate the duration of each step in the path. In geektalk we think of it as “sankey meets sessionization.”

September
14
2014
Category: Partnerships, Blog
Kochava.fw

Our latest partner, Kochava, is an important tool for mobile app developers and advertisers, helping them analyze the effectiveness of marketing campaigns. Kochava allows advertisers to monitor multiple data sources for user attribution. It tracks the number of clicks, installations and post-install events relating to marketing campaigns. Using this data, developers and advertisers can gain a better understanding of where their users are coming from, their cost of acquisition (CAC) and lifetime value (LTV).

12345...10...