Let’s face it, Covid-19 and its associated risks and regulations have impacted the behavior of every consumer, and the tactics of every retailer, around the world. Customers who have always shopped in brick-and-mortar stores have moved online for the first time, while those who have always bought certain items online are e-shopping more frequently, if not exclusively. But, when restrictions allow, many people are relishing the chance to hit the high street to experience some form of normality!

Identity resolution can be a confusing concept to get your head around, with so many related terms such as identity graphs, probabilistic matching, deterministic matching and unique identifiers to understand. In this blog, we’ll look to simplify what identity resolution is and how marketing teams can use it to enable more accurate marketing and personalization strategies.

Customer segmentation can be a simple or a complex process. It may be undertaken manually or using predictive algorithms, and can come in many shapes and forms. The assumption underlying all segmentation modeling, however, is that within your customer database you will have groups of customers that share similar attributes, behaviors and buying habits. If you can understand how individuals within a particular segment are interacting with your products and services, then you can start to fine-tune your marketing to ensure that you can deliver what they’re looking for, and therefore achieve better engagement.

BlueVenn, the international Customer Data Platform (CDP) provider, has announced that Small World Financial Services, which offers fast, secure worldwide payment services to individuals and businesses alike, has selected BlueVenn to help it further develop its unified customer experience across the brand.

Keeping things tidy, unified and in one place… is this your customer data? Or your sock drawer?

During the holiday season, just as retailers expect to see a surge in shopping activity and customer data, many of us expect a wave of socks to engulf us as we open our stockings. Even the most organized people struggle to keep their sock collections in order at this time of year. On an average day, most people will have one in the sock drawer, one in the dryer, several pairs accidentally put into little Jimmy’s room, and more languishing on the radiator. With no system in place to ensure they’re correctly matched, assigned to the right person, and easy to find at a moment’s notice when needed, it’s anarchy. And with new Christmas socks set to be added any day now, the situation is only going to get worse!

The BlueVenn 2020.4 update has landed, with new Adtech and VOC integrations, enhanced reporting and improved user management controls.

Our final update of 2020 gives BlueVenn customers the chance to benefit from an exciting range of new features and improvements. Those with our new Google integration tool will be able to use our technology to better target Google Ads, whilst the new Confirmit integration has made managing surveys and survey data easier. Other improvements will enable our customers to report on, display, protect and manage their stored data more efficiently. Here are some of the 2020.4 highlights to be aware of.

Traditionally, the lion’s share of online ad spend has ended up in the pockets of two of the biggest marketing services in the world, Google and Facebook. Google Display ads, which are targeted according to web content, theme and client preferences, and Facebook ads, targeted through location, demographic and profile information, have always had above-average marketing clout, since the two services boast such a colossal reach between them.

BlueVenn has been selected by Natural Habitat Adventures, the specialist provider of high quality, sustainable nature adventures and conservation travel partner of the World Wildlife Fund. The travel group will use BlueVenn’s CDP to unify online and offline customer data, plus its analytics to gain a deeper understanding of customers, and its marketing automation tools to create personalized experiences across many channels.

Companies which collate and analyze customer data, both online and offline, have grown 16% in the last year and are more than twice as likely to significantly exceed business goals and see a strong return on investment (32% versus 14%), according to a global survey of 235 organizations with annual revenues of at least $50m.

Customer analytics have the potential to promote business profitability by surfacing insights which enable correct business decisions to be made, increasing customer revenue or reducing inefficiencies in the marketing, sales and customer service teams. Meaningful and accurate customer insights must be based on trustworthy, reliable customer data, yet most companies today are dealing with data that is incomplete, inconsistent, inaccurate, inaccessible or fragmented, resulting in business and marketing decisions being made that fail to yield the desired results.

In the best case scenario, a data science team or specific business users will spend precious time cleaning up the mess. In the worst case scenario, time is not spent cleaning the data and faulty data becomes the foundation for poor decisions. It’s not a pleasant choice!