Industry Challenges
- OEM product marketing groups need device churn analytics
- OEMs lack visibility into “from” and “to” devices when upgrades occur
- The indirect sales model through retailers hinders OEMs from collecting churn data first-hand
Industry Challenges
Device OEMs can obtain sales data through their own records of units shipped and channel sales reports, but specific insights related to the previous device owned and the new device chosen by the consumer are usually hidden from view.
- OEM product marketing groups need device churn analytics
- OEMs lack visibility into “from” and “to” devices when upgrades occur
- The indirect sales model through retailers hinders OEMs from collecting churn data first-hand
ThinkCX Solution
- The device owned before the upgrade is known, providing flow-in insights
- The device owned after the upgrade is also known, providing flow-out insights
- Large volumes of logged churn events are available, resulting in highly representative consumer preference models
ThinkCX Solution
ThinkCX has painstakingly built a proprietary smartphone database of nearly 200 million devices, both Android and iOS, that are active in the North American market. Our methods allow us to determine user continuity as phones are upgraded, enabling detailed device churn analysis.
- The device owned before the upgrade is known, providing flow-in insights
- The device owned after the upgrade is also known, providing flow-out insights
- Large volumes of logged churn events are available, resulting in highly representative consumer preference models
Case Study
The client was a large Asian device OEM that had gained significant market share in North America.
The client had access to their own sales data, as well as limited insights supplied by their carrier channel partners. However, this data was still insufficient for the construction of an accurate and representative churn model.
ThinkCX conducted an analysis of smartphone switching events occurring in the US market over 30 days, and provided the client with a detailed analysis of the devices its users were switching to and from.
Case Study
ThinkCX was contacted by a smartphone manufacturer to help them understand device switching in both directions – i.e. churn to and from their devices.
The client was a large Asian device OEM that had gained significant market share in North America.
The client had access to their own sales data, as well as limited insights supplied by their carrier channel partners. However, this data was still insufficient for the construction of an accurate and representative churn model.
ThinkCX conducted an analysis of smartphone switching events occurring in the US market over 30 days, and provided the client with a detailed analysis of the devices its users were switching to and from.