Skip to content

Posts tagged ‘customer analytics’

4
Sep

Customer Journey Analytics and Data Science


  • DigitalJourneys-WhyWhere do customers abandon the shopping process? Is it the same in every geography?
  • Audience of One…. Who are your fans versus haters in the marketplace?
  • How do customers feel about your products? How engaged are customers with your brand versus your competitors’ brands across social media and web channels?

Fortune 500 companies are making large investments around Programmatic Marketing, Sales and Service (“marketing that learns”). Programmatic marketing is the application of automated technology through which media buyers and sellers may align organizational processes in support of ongoing, channel-agnostic customer engagement (and to allow for the continuous optimization of that effort as business strategies evolve) in order to drive revenue.

One of most often implemented use case in Programmatic Marketing is customer journey mapping and analytics.

Why? Because, deciphering the nuts-and-bolts” of individual customer journeys online (and deducing intent) is core to improving customer experience and driving brand loyalty.

Specifically, the objectives are:

  • Visualize and map the end-to-end customer journey by personas
  • Optimizing on the right journey attributes to increase yields  by >30% lift… Uncover the right combination of web, mobile and physical channels, content and experiences that  best achieves the target goals
  • Enable marketers to identify journey bottlenecks for individuals and aggregates
  • Leverage actual behavior data to enhance and personalize the experience for each individual customer

CustomerJourneyMapping

Read more »

19
Jan

Multi-channel to Omni-channel Retail Analytics: A Big Data Use Case


MULTI-CHANNEL is simply having multiple channels through which you buy, market, sell, and fulfill.

CROSS-CHANNEL has the ability to see all of a customer’s information across all channels enables more personalized offers based on their brand relationship.

OMNICHANNEL weaves all the touchpoints of the products and services of the brand into a  seamless fabric  of all phases of the  customer’s brand experience.

Which one are you?

Let’s face it – The old uni-channel retail model is dying in some cases and changing in others.  E-commerce is driving nearly all retail growth. Digital customers want simple, consistent, and relevant experiences across all channels, touchpoints, mobile screens, smart watches and other devices.

Read more »

3
Aug

Big Data, Analytics and KPIs in E-commerce and Retail Industry


  • How to convert Lookers to Bookers…
  • How to create unique and effective Digital Experiences that impact probability of purchase or likelihood of return.
  • What offers might result in higher “take rates”

The change in consumer behavior and expectations that e-commerce, mobile and social media are causing is hugely significant – big data and predictive analytics will separate brand/retail winners from losers. This won’t happen overnight but the transformation is for real.

Retail Industry makes up a sizable part of the world economy (6-7%) and covers a large ecosystem –  E-commerce, Apparel, Department Stores, Discount Drugstores, Discount Retailers, Electronics, Home Improvement, Specialty Grocery, Specialty Retailers and Consumer Product Goods suppliers.

Retail is increasingly is looking like a barbell – a brand oriented cluster at the high-end, a very thin middle, and a price sensitive cluster at the low end. The consumerization of technology is putting more downward pricing pressure in an already competitive “middle” retail environment. The squeeze is coming from e-commerce and new “point, scan and analyze” technologies that give shoppers decision making tools — powerful pricing, promotion and product information, often in real-time. Applications in iPhones and Droid, like  Red Laser can scan barcodes and provide immediate price, product and cross-retailer comparisons. They can even point you to the nearest retailer who can give you free shipping (total cost of purchase optimization). This will lead to further margin erosion for retailers that compete based on price (a sizable chunk of the market in the U.S, Europe and Asia).

Data analytics is not new for retailers. Point of sale transactional data obtained from bar-codes first appeared in 1970s. A pack of Wrigley’s chewing gum was the first item scanned using Universal Product Code (UPC) in a Marsh Supermarket in Troy, Ohio in 1974.  Since then, retailers have been applying analytics to get even smarter and speedup the entire industry value chain.

Consumer Goods Value Chains

More recent use cases of retail analytics  include: Read more »

%d bloggers like this: