Using Data-Driven Thinking to Understand Your Community Members
Updated: Jul 15
To deploy a data-driven strategy means ensuring that key business decisions are based on data analysis, interpretation, and inference.
Many membership and subscription businesses will try to contextualise their members’ behaviour, with data, and subsequently validate their decision making.
Furthermore, data-driven strategy can form the foundations of a ‘data culture’, whereby a common consensus to consult data, before identifying solutions, exists. This culture, alongside the correct tools, is an essential definition for data-drivenness. Below, we have listed some data-driven actions an M&S company may take, to improve the quality of their community, by better understanding their members:
Surveying former or existing members or subscribers, on satisfaction
Conducting focus groups, before releasing new features, products, or services
Conducting A/B testing, to compare product or service features
Conducting A/B testing, to compare different pieces or streams of content
Segmentation of target audience, to develop customer avatars
Segmentation of former or existing members or subscribers
Quantifying interactions between members, within the community
Quantifying interactions of members, towards the community
The Importance of Member Data, For Community Management
As a community’s core comprises members, it would be ludicrous not to try to understand who each member is, through various data-driven perspectives. Before delving into definitions of member-specific data points, here’s a list of reasons why understanding your members, through data, is vital for community management:
Increasing engagement, by identifying members’ interests and preferences
Increased ROI, for members, through receiving interest-tailored content
Cost reduction, by identifying the most efficient decision, for member retention
Proactive approach, rather than reactive decisions based on guesswork
Member Data Points, Which Exist In Your Community
The easiest way to understand your members, in terms of data, is by analysing their demographics, psychographics, geographics, and behaviours. We urge you to create your own member segmentation table, and choose the most appropriate data points, which are mentioned below in bullet points.
Demographics involve socio-economic traits, separate to character:
Psychographics involve character-driven psychological traits, influencing preferences:
Geographics involve facts, or traits, influenced by an individual’s environment:
Behaviours involve identifiable actions, associated with your business or community:
Follow Ugenie, For Insights On Data & Community!
The information above primarily revolved around the definition, importance and an introduction to, data-driven thinking, for M&S businesses. Coming in the future, are related insights from Ugenie, geared towards helping you implement a data-driven strategy, with the right tools and models.
At Ugenie, data analytics is just one part of our online community platform service. Are you a community leader looking to quantify your community’s performance, and members, with data-driven insights and thinking? If so, why not start a free 30-day trial on Ugenie, to numerically understand your community, and its members?: https://www.ugenie.io/trial