An IBM study found that 90% of
customers want better personalisation, and are willing to spend 20 minutes to
set up their information to help retailers give them a better experience.
However, the same study discovered that less than a third of retailers are able
to make the most of this.
Interestingly, a recent survey conducted
by Capgemini reveals a thorny truth that many Australian retailers won’t like
to hear. Few excerpts:
Relationship building (Relational aspects) is the most
under-utilised dimension. The potential for generating customer intimacy and
brand loyalty is currently unexploited by Australian retailers and has created
a Relational Gap.
The true power of
relational digital commerce lies in combining established web personalisation
techniques with advanced big data analytics to create effective, scalable
solutions.
Since it is impossible to
scale a business model that relies on one-to-one human contact, digital mass
personalisation aims to both individualise the customer experience and to raise
the cost and likelihood of customers to switch to a competitor offering:
·
By way of
individualising their offering, e.g. via useful product recommendations,
retailers can make their digital service less comparable and raise customer net
benefit. This creates opportunity cost and decreases the likelihood of
customers switching over.
·
By way of
using customer data to provide useful services, e.g. via user search or
transaction history data, the usefulness of the digital service grows over
time.
End quote. Interestingly, one
business capability that is painfully lacking in the Australian market is
product information management (PIM) and master data management (MDM). I argue
that these two disciplines combined can enable a better personalization
strategy. Admittedly, their scope is much broader but properly tuned (and
integrated with big data analytics) they can deliver effective and scalable
personalization solutions.
Let’s briefly look at each in
greater details.
Product Information Management
PIM provides business
application functionality enabling product managers, merchandisers, purchasing
staff, supplier and partner organizations, and others to create and maintain
trusted product data by authoring and managing all types of structured and
unstructured product data, including product attributes, images, videos,
promotional bundles, cross-sell/upsell relationships, pricing data and channel-
and localization-specific information.
At the heart, PIM is all about
slicing and dicing product information to serve an increasingly and varied audience.
For instance, a hammer can have few attributes when sold to someone who just
needs to hammer while carrying a wealth of information when sold to a
technician who is also interested in the material, resistance, shape of the
handle, etc.
Master Data Management
Fast, accurate, reliable
information is the lifeblood of retail companies. It is vital for every aspect
of the business, from merchandise planning to store replenishment, from supply chain
management to forecasting. Not least, personalization. Accurate and meaningfully data relationships
result in better personalization. In fact, MDM is all about creating complete and
authoritative business views, including customer views. If you need to fully
understand the value of each customer, MDM enables this by tracking key
attributes and resolving data conflicts across data sources. If you want to
ensure a consistent customer experience or engage in customer segmentation, MDM
enables this as well by helping improve the quality of data and by
synchronizing data across all its sources to eliminate inconsistencies.
Final Thoughts
Final Thoughts
It is my conviction that wise retailers should start leveraging the vast pile of customer purchasing data and behavioral details, and use the proper technology such as PIM, MDM, BI, etc. to deliver a superior customer experience in terms of engagement and personalization. The results won't be disappointing.
Retailers push fastest and hardest on personalisation efforts. NOW!
*Picture source: http://thecontentwrangler.com/2009/05/03/first_things_first_localization_should_start_at_home1/
*Picture source: http://thecontentwrangler.com/2009/05/03/first_things_first_localization_should_start_at_home1/
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