You want to know about the online habits of your consumers to better cater to their needs. You decide to invest in product analytics to help you do this. You begin to receive data about your consumers and what they do with your product or service. This is known as “empathy debt”. Having this knowledge helps you to make better decisions concerning your product, thus enabling you to pay this debt. However, you’re still unsure about how product analytics works. Read on to find out more about it. about
How to Use Product Analytics
All product analytics platforms tend to capture data about consumers. These can roughly be put into two categories
- Tracking Data, which obtains data about consumer digital footprints
- Analyzing Data, which presents the data via a report or your dashboard, for example
This data can be used to discover things like the online patterns of consumers on your website, how to reduce churn rates, and what is a typical consumer make-up for your product. As the experts at https://www.woopra.com/learn/product-analytics know, product analysis can also detail overall user engagement. This information can be vital in planning for marketing and product placement.
Important types of Product Analytics
So, product analytics is used to determine your consumer habits via data generated from what they do on your product or service. Let’s now examine the most important types of analysis you should be using.
1. Trend
One of the most popular forms of analysis, trends helps a business to determine the success of feature adoption over a given time by examining performance rates.
2. Journey
This analysis examines the users’ path, or journey, to reach a certain goal or target. For instance, buying an item may require the consumer to create an account beforehand. This trend can be useful to refine their journey, resolving potential issues along the way.
3. Attribution
This form of analysis examines customers who have completed their journey, which usually consists of them purchasing your product(s) or service(s). Their journey is looked at in reverse to home in on aspects that can be better utilized in the future.
4. Cohort
This examines how cohorts, both old and new, react to how the company evolves in terms of its products, brand, and advertising, for example. Being able to distinguish between each type of cohort will help you determine how their needs and expectations are being met. As each cohort has distinguishable characteristics, not only will you be able to categorize them according to this, you will also be able to compare between different ones.
5. Retention
With all business experience some amount of churn, knowing the levels over periods of time and for what reason will help you understand how long consumers tend to engage with your product(s) or services(s). It is important to know what you are measuring about and against, therefore using characteristics, as described in the previous trend, Cohorts, will enable you to analyze certain groups and compare them against others.
Understanding how product analytics work will enable you to better understand your consumers. You will also be in a better position to make changes to your current business strategy to meet their needs. This is potentially a win-win situation because your business is making a profit through sales as your consumers are happy to pay for your product or service. This is down to product analytics.
Author Bio:
Allen Brown
– A keen writer covering topics such as Internet Marketing, SEO, Travel, Beauty and the such. He enjoys spending time with his two kids on his past time.
