2017

Forge Stronger Customer Relationships through Smarter Engagement

Consumers demand personalized, relevant experiences. Marketers know they have to deliver or risk losing business to competitors and leaving significant money on the table. And yet, many brands continue to struggle to orchestrate customer interactions across channels or understand the customer journey. In this post, we’ll address those challenges by taking a closer look at how smarter engagement can help brands forge stronger customer relationships.  

2017

4 Customer Data Management Use Cases for Sports Teams

Sports teams are collecting a ton of customer data from all types of channels. However, putting that data to action is a major challenge for many of them. In this blog post, we’ll take a closer look at how an advanced customer data management solution can help address some of the most common limitations holding sports teams back from achieving a single customer view to deliver personalized engagements at the moment of impact. Keep reading to understand four customer data management use cases specific to the sports the industry.

2017

5 Customer Data Management Use Cases for Hotels

The hospitality industry faces several challenges due to a lack of unified, actionable data. Alas, this means no delivering real-time offers during a guest’s stay or sending a customized survey shortly after checkout. Happily though, the days of marketers forced to rely on IT teams to achieve their customer data management and engagement initiatives can be put in the past thanks to a burgeoning category of technology called Customer Data Platforms, which were designed to solve that exact problem (plus so many others!). Want to learn more? Keep reading to learn five CDP use cases for the hospitality industry!

2017

5 Customer Data Platform Use Cases for Quick Service Restaurants

The quick service restaurant industry is up against a mounting number of challenges from greater costs and lower margins to consumer demands for higher quality, more options and increased expectations for how they interact and engage with brands. It’s no easy feat to deliver that one-of-a-kind customer experience that consumers have come to expect in an omnichannel world, especially when many QSRs are stuck with legacy technology that limits their ability to gain a single view of the customer and deliver personalized engagements on the right channel at the moment of impact. Here’s the good news though: the birth of a new category of technology--the Customer Data Platform (CDP)--is making it possible for brands to execute all that and then some. Not a believer? Keep reading to learn five CDP use cases for quick service restaurants!

2017

Applying Agile Methodologies to Help SaaS Integrations to Be More Predictable

In the realm of software development, agile methodologies have firmly overtaken outdated waterfall techniques for designing, developing, and releasing new software products to the market.  Agile software development consists of a set of principles for which requirements and solutions evolve throughout the course of a product’s life.  For SaaS based software models, however, a large majority of the work that project managers are involved with are not projects involving brand new products. Many projects involve working within the confines of a system that has already been defined and constructed in some manner.  This may include things like data models, business logic, user interfaces, etc.  In addition, the date and cost for the project are often times known and fixed up front, at least for the initial target release.  There is little room for the natural evolution of a product, which agile development suits so well.  So how can agile methodologies be applied to SaaS integrations while they have so many inherent constraints upfront?