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Building Data Analytics Capabilities to Improve Your Direct-to-Consumer Model

The rise of technology and smartphone usage has made it easier for companies to gather data about consumers. This is especially true for the consumer products companies who incorporate a direct-to-consumer (DTC) model in their strategy.  With DTC, consumer products companies can gather data directly from interactions with consumers to allow for more detailed customer segmentation and ultimately better promotion and personalized product assortment. Consumer products companies can acquire data analytics capabilities in a variety of ways – through acquisitions, outsourcing analytics to trusted partners, or building it themselves.

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Alternatively, for consumer packaged goods (CPG) companies with no direct-to-consumer strategy, collecting consumer data requires a purchase from third-party data insight groups like IRI, Nielsen, Kantar, or InfoScout. These data sources often do not show the whole picture and can be difficult to integrate into proprietary data and systems. As a result, CPG companies are developing a DTC strategy by creating their own DTC channel or acquiring other direct-to-consumer and data analytics companies in order to access more consumer data and insights.

Last year, Proctor & Gamble launched an online DTC service for its Gillette shavers, in which people can buy blades online from Gillette or create a subscription service.  Gillette launched this service after conducting extensive research about consumer preferences using data, which it will be able to gather much more easily thanks to a more established direct-to-consumer presence.

Nike has realized how a strong data analytics team can help with direct-to-consumer relationships. Nike acquired Zodiac, a data analytics company, in order to bolster its insights on consumer behavior. Zodiac will give Nike new predictive tools and advanced analytics to drive targeted growth. As stated by CEO Mark Parker, Zodiac will help Nike inform product design and capabilities going forward and also impact supply chain management in its manufacturing flexibility. A few weeks later it acquired computer vision firm Invertex. Both of these acquisitions will strengthen Nike’s analytics capabilities in order to support a broader corporate strategy: Nike Consumer Direct Offense – a plan to effectively serve customers on a one-on-one basis.

Unilever acquired Dollar Shave Club for $1 billion two years ago to gain a strong entry into the DTC shaving market and to gain a plethora of unique consumer and data insights for the shaving market. By gaining an advantage in unique customer data, Unilever can use this data for future product development, packaging design, and strategy and marketing. The acquisition of Dollar Shave Club helped Unilever learn more about consumer behavior and launch two new direct-to-consumer skincare companies, Skinsei in the U.S. and Verve in the U.K.

Outsourcing Data Analytics Capabilities

The expense associated with building a top analytics program – from hosting costs to expensive talent – can be burdensome to consumer products companies of any size. Sometimes companies find it more cost effective to outsource key components of their analytics program by using a long-term, ongoing managed analytics relationship to reduce the cost burden and improve access to data science talent and tools. When looking for a partner to help you with your data analytics capabilities, make sure they can build a platform that is tailored for your organization and will help you achieve the goals you are looking for from your DTC channel.

For consumer goods companies, gaining more detailed insight about consumers is a competitive necessity.  Some companies create their own DTC channel, others are acquiring companies to integrate into their portfolio. No matter the strategy of how to get there, it is clear that an investment in data analytics capabilities for the direct-to-consumer channel can help CPG companies better optimize marketing spending and create a more adaptable supply chain.

Download our e-book Giving Analytics Meaning Again

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Contributions by Thomas Wang.

Tags: Data & Analytics, E-Commerce, Managed Analytics
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