Businesses and customers are experiencing the Paradox of More – where more is becoming less. With more choices, more channels, more devices, more influences than ever before, customers actually have less time to navigate choices, less sure of decisions and less satisfied with them too. Research proves that with limited but relevant options, customers make easier, quicker, more satisfying decisions.
How can enterprises provide customers with the right information at the right time to make complex decisions – simple?
Crayon’s SimplerChoices TM is a Choice Engine that brings the power of big data and analytics to your enterprise in an easy to use and off-the-shelf solution. All enterprises can gain greatly by increasing sales conversions as well as improving returns from existing accounts through the SimplerChoices platform.
The only choice you’ll need to make is whether to pick our web-based, pay-per-use SaaS offering or integrate with your IT/CRM system.
CrayonData’s SimplerChoices TM for Customers combines massive external and enterprise data using insights in taste, influence and context to drive usage, revenue and customer satisfaction to reduce marketing and promotion costs. Relevant, personalised choices are delivered to consumers of banks, retailers, hotels, telcos and more, on an SaaS pay per usage model.
B2B businesses today struggle with a complex and dynamic sales and market intelligence environment – scattered and silo-ed data, no visibility of future trends, too much shot-gun demand generation models etc.
In the age of information complexity, SimplerChoices TM boosts B2B sales and marketing intelligence and demand generation, by providing deep integrated insights on companies and markets.
Imagine a nice Friday afternoon walking around your local mall. You walk into your favorite browsing for a new outfit to wear to your friend’s party later in the evening. Although you usually ...
Crayon’s SimplerChoices Business Interest Graph (BIG) is a B2B application that identifies a company’s business interests, needs and most relevant market opportunities with external data and ...
Complex algorithms, ontologies, and machine-learning based classifiers are needed to separate noise patterns and spam-like comments, from genuine signals. This is where the complexity arises, and the ...