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How can retail organizations benefit from a Customer Data Platform?

A use case is a statement of what a marketer wants to get out of a project, system or platform. Whether they work for a single or multi-brand retailer, if the business operates on at least two channels, marketers are going to face these use cases as the Top 5 requirements for a Customer Data Platform (CDP):

Topics: data management Data Quality retail data ownership Customer Data Platform marketing automation cdp omnichannel marketing compliance

This Christmas, Better Data = Better Marketing

reindeerAt Christmas time retailers will find they have an absolute deluge of customer data coming in. Names, email addresses, postal codes, product preferences, purchase and card details, real-time behavioral insights, delivery preferences – that’s a lot of stuff to store and process. If you’re not careful, you’ll end up in a festive jumble with money being wasted all over the shop at a time of year when profit really counts.

Topics: Single Customer View data cleansing Data Quality retail data cleaning Customer Data Platform clean data cdp

5 frequently asked questions about Customer Data Platforms answered

Over the past three years, there has been a lot of confusion about what a Customer Data Platforms (CDP) can and can't do, and subsequently what benefits a CDP can bring to a company. Here are the 5 most frequently asked questions about Customer Data Platforms:

1. Can I use our home grown solution to create CDP-like benefits?

A Customer Data Platform (CDP) will typically be controlled and used solely by the marketing team, so the information stored will be customer-related (contact information, customer activities/behaviors and transactions). Its raison d’être is to create a Single Customer View (SCV) by normalizing the customer data collected from marketing and operational systems across the business, and drawing together all known information about the customer into one ‘Golden Record’. During the Single Customer View creation process the CDP will cleanse the data, correct incorrect or inconsistent formatting, and merge duplicate entries. The data is also persistent, which means that it is retained indefinitely (unless required to be removed by law), including every change or process, which is then timestamped for 100% traceability.

Topics: Marketing Data Enhancement data management customer data Data Quality Customer Data Platform marketing automation data unification marketing database cdp

How to Continually Optimize Data Quality using a Customer Data Platform

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.

Topics: Marketing customer journey customer data Data Quality customer engagement data privacy customer insight data cleaning data analysis Customer Data Platform marketing data data analytics clean data marketing database cdp