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Leverage Customer Data 25#
New value is created by collecting customer data and preparing it in beneficial ways for internal usage or interested third-parties. Revenues are generated by either selling this data directly to others or leveraging it for own purposes, i.e., to increase the effectiveness of advertising.
Examples: Iconic Cases
How they do it: LinkedIn uses customer data for several purposes. One purpose is to better target its advertisements for services. In addition it gives advanced access to search or filter the data on the platform for users with a premium subscription. This supports e.g. finding the right candidates for a job opening. Another purpose is to give users with a premium subscription more insights on how their own profile compares to similar profiles and who visits their profile.
Learn more about LinkedIn →
How they do it: Best Buy collects customer data to make recommendations based on the customers spending behaviour. This could include add-ons to certain products or discount or update alerts for products the customer has looked for previously on the Best Buy website.
Learn more about Best Buy →
How they do it: SlideShare was acquired by LinkedIn in 2012. It is now an part of LinkedIn’s suite of services, linking data from former SlideShare users with LinkedIn’s database.
Learn more about SlideShare →
How they do it: A lot of apps in the AppStore are available for free to the user, however while using the app, user behaviour and other information about the phone such as location are tracked. This data is then used to generate revenue with services such as targeted or location based advertisement.
Learn more about Apple iPhone/AppStore →
How they do it: Google’s search engine is free to use for all customers. However Google monetizes its user’s data and search queries through providing companies the possibility for targeted advertising which allows them to target exactly the customers that are looking for a certain product or service and also enables the customers to better find what they are looking for.
Learn more about Google →
Below, the top industries for the pattern "Leverage Customer Data" are displayed, in order to get insights into how this pattern is applied across different industries. We've collected data from 25 firms using this pattern.
Top Industries
Services
63% of firms using pattern
63% of firms using pattern
Information Technology
47% of firms using pattern
47% of firms using pattern
Hardware
33% of firms using pattern
33% of firms using pattern
All Industries
Below, the pattern "Leverage Customer Data" is analyzed based on co-occurrence, in order to get insights into how this business model pattern is applied in combination with other patterns within the firms we studied.
Top Co-Occurrences
Two-sided Market
10 pattern co-occurrences
10 pattern co-occurrences
Digitization
6 pattern co-occurrences
6 pattern co-occurrences
Long Tail
5 pattern co-occurrences
5 pattern co-occurrences