Cohort is an analytical technique in which the user is given a certain time period and grouping is done based on experience and characteristics within that and high concept behaviors are identified within it, with the help of this we can make data driven decisions and make a strategic plan. 

What is that strategy, what are the techniques and posts with the help of which strategic decisions can be taken.

Digital marketing, content marketing and various types of websites, platforms, tools and techniques can be used to strengthen the landing page.

Competitive analysis, market strategy, strategy planning, data analytics, user experience, user interface, core web vitals, promotions, advertising etc are important. 

With the help of this we can analyze the customer through customer satisfaction testing and customer effort score, star rating system, survey link comments, net promoter score etc. Hotjar, Serviquette, Typeform, Delighted, Qualtrics, Google Forms, SurveyMonkey etc. are important tools for analysis. With the help of these tools, information like general surveys, marketing automation, interactive surveys, on-site feedback heatmaps etc are provided. 

With the help of this, consumer actions are assessed and it is seen whether these actions can lead to long-term concepts. Market trends can change anytime during market fluctuations. 

Users can increase their choice, taste, satisfaction etc. So it is very important to do user behavior and user analysis. With the help of this we can know how the user usage pattern is connected to the concept over time. 

We can use user data in various ways to create group .

Usability: 

In this we can create groups according to how many people from the incoming traffic are showing engagement towards the product, like login, sign up, contact form, subscriber, etc. By maintaining the record of the information we can analyze the traffic coming to the website by the users. 

To organize it better we can also create groups on weekly or monthly basis and retargeting marketing can be done on them, war leading can be done on them, like customer support, 24/7 query resolution, problem resolution, notification updates, latest product updates, email and SMS notifications, etc. We can make contact with the users in these ways.

User Reliability: 

With the help of user reliability, we can get information like gender, age, location, geographical area, etc. and we can group them numerically. Target audience ,Custom audience can be created as per the product Website demographics ,As per the target audience ,we can work on the keyword trend, We can use trading material and trading keywords. With the help of this we can surely increase the search volume ,brand volume and search engine result page etc.

Enrollment: 

After analysis we can create groups of active users and motivate the user to set profile, invite others, share posts on social media We can make them aware of the product by special discounts, exclusive offers, bumper offers, discount offers etc. Brand awareness is very important No matter how good your product is, if people are not aware of it, your product will never reach the user. 

User retention analysis: 

With the help of this analysis we can assess how we can bring the user back. After the user visits the website, it helps to understand the effectiveness of re-engagement policies. It is necessary for us to address our market. In this we have to improve our product and service strategy and also we have to improve our competitive position. 

The more satisfaction we can give to the user, the more comfort and support he gets, the better response we get and the more traffic we will increase. Tracking customer retention over time is very important to identify product usage trends. 

User retention analysis tracks how many users come back to your product after their first interaction over time. It helps you understand user engagement, product stickiness, and the effectiveness of your onboarding or re-engagement strategies. Measures user data based on data representations like Google Analytics, Mixpanel, Amplitude, Tableau, Power BI, etc