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: Airbnb collects their customers data and utilizes them to drive both the amount of transactions (e.g. reminding customers to finish a search after some time) as well as allowing hosts to use the data collected by Airbnb to improve their offer e.g. through intelligent pricing.
Learn more about Airbnb →
How they do it: Customer data in the iTunes store and in Apple Music is used to give the listeners individualized recommendations of what other music might be interesting to them.
Learn more about Apple iPod/iTunes →
How they do it: Amazon is collecting the individual interests and purchases of its customers to create cross-selling opportunities with individual marketing and targeting (e.g. ”based on your recent search, we want to show you the following products...” or ”customers who bought product x also looked at product y”).
Learn more about Amazon Store →
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: By running a platform offering vouchers and coupons to products and services from 3rd party businesses, Groupon controls the marketing channel to the customer. It collects customer data and utilizes it to advertise new deals to customers. The value to its 3rd party businesses is a large existing base of customers interested in coupons, to which their service or product can be advertised.
Learn more about Groupon →
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 5 firms using this pattern.
Top Industries
35% of firms using pattern
34% of firms using pattern
24% 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
15 pattern co-occurrences
11 pattern co-occurrences
10 pattern co-occurrences