Sold by: Keepler Data TechÂ
Nowadays in many market sectors, an omnichannel approach offers a way to enhance the customer experience. Providing access through multiple channels (physical, digital) eases the customer access to the company offers.
One of the challenges of implementing a multichannel approach is gathering all the different IDs that a customer might have into a unique ID. A unique ID provides valuable information that enables actions to improve actions to recommend products or reduce the churn rate.
Overview
One of the main challenges when using the data generated in an omnichannel approach is to identify unambiguously the client. Aggregating correctly the differents IDs received from different sources (ID registration, in-shop purchases, call centers, loyalty programs, in-app purchases, …) makes the difference whether we want to take actions to improve our recommendation ratios or to reduce the churn rate.
Building a unique client identification or 360 digital print provides a 360 degrees customer view that:
- Provides an understanding of the client behaviour,
- Serves as an input for other tools such as online and batch recommentations,
- Enables omnichannel reports that improve BI reports.
Keepler has developed an ID360 solution on a layer-based architecture to integrate different data sources (online and offline) and properly process them by applying the corresponding business rules. It provides the following benefits:
- Cost savings: the cloud approach enables pay-per-use instead of licence models.
- Improve customer experience: identifying the clients unambiguously in any channel enables more accurate actions to reduce the churn rate and to improve recommendation tools.
- Accelerates time-to-market: it deploys an architecture up to 75% faster than a solution that starts from scratch, but retains all the advantages of customization and individual configuration in data analysis.
Highlights
- Improve customer experience.
- Enables recommendation actions.
- Accelerates time-to-market.
Details
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Deployed on AWS
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