The CDP Institute (CDPI) is basically THE body providing key resources for organizations that are researching Customer Data Platforms. As a vendor-neutral organization, its main aim is to act as an authority on customer data management and distribute materials or news that will help marketers to make the best use of their data. Every year the CDPI member survey is sent out in an effort to better understand the CDP buyers’ needs around customer data management.

For those that want to read the full CDP Institute Member Survey 2020 report, you can access it here, or for a summary of the key findings from the report, alongside commentary from Anthony Botibol (BlueVenn's VP of Marketing and CDP Institute Advisory Board member), read on:

According to Winterberry Group’s analysis, the capabilities of BlueVenn’s CDP are industry leading; report provides clarity as to what core capabilities a CDP should have and how they deliver best value to marketers

Although it faces some competition from the Scott Brinker Supergraphic, Gartner’s ‘Hype Cycle for Digital Marketing and Advertising’ is arguably the most awaited martech and adtech market visualization of the year. While the Supergraphic is one dimensional and doesn’t really say a lot about a product’s journey, the Hype Cycle plots the reality versus the myth of every technology wave.

Gartner is able, through its global presence and position of authority, to accurately measure the technology talking points of the moment (CDP, DMP, machine learning, etc.) and provide estimated timelines for these innovations to reach the stage where customers will start to see their maximum value. Similarly, the Hype Cycle will alert the market to anything that has hyped too far and predict its obseletion, i.e. that it will cease to be talked about and developed, before it reaches maturity.

Customer Data Platform series: 5 of 5

Over the next 5 weeks, read a new blog each week from our CDP Series as our CMO helps you to understand the CDP landscape, capabilities and functionality.

Let's just get something straight; it's common (and understandable) to assume that 'tag management' means organizing either the tags that make blogs more searchable or the meta tags used to improve the SEO of a web page. That isn't what we're talking about here.

This blog focuses on management of the snippets of code (tags) embedded into a web page to record information when a customer accesses and interacts with a company’s website or mobile app, or to help launch the functionality of marketing technology products. In the latter case, the vendor of the martech will request that the customer embeds the code. Just like a Customer Data Platform, the main function of a Tag Management System is to help manage large amounts of first-party information collected by companies about their customers. 

Customer Data Platform series: 4 of 5

Over the next 5 weeks, read a new blog each week from our CDP Series as our CMO helps you to understand the CDP landscape, capabilities and functionality.

The basic raison d'être of both a Master Data Management (MDM) solution and a Customer Data Platform (CDP) is similar. Both exist to ensure that a business has a supply of carefully curated, unified, accurate and reliable corporate data, a single trusted view to deliver insights and drive business innovation, but that's where the similarities end.

For a start, MDM is a discipline and a set of processes designed to transform organization-wide data, especially in large companies, while a CDP is a packaged software product with a specific purpose to deliver a single view of the customer that the marketing department can use for the improved personalization of marketing campaigns. Another key difference is who stands to benefit from their use and how they are managed within the organization.

Customer Data Platform Series: 1 of 5

Over the next 5 weeks, read a new blog each week from our CDP Series as our CMO helps you to understand the CDP landscape, capabilities and functionality.

Poor quality data is the result of numerous errors that can progressively ruin the success of your marketing campaigns. In fact, according to IDG, poor data quality is one of the modern marketer’s biggest concerns, with 66% of those polled declaring data quality and accuracy as a “top priority”. 

Inaccurate names, addresses and contact details, along with duplicate records and decayed information, will distort your view of a customer, resulting in poor campaign results and inaccurate insights. Worse still, it creates a bad experience for your customers whereby they either miss out on a specific offer, are targeted wrongly or receive the same message multiple times.