Customer Data & Analytics Blog

Ariella Brown

Recent Posts by Ariella Brown:

Revving your revenue engine with a CDP

Ariella Brown | 2 minute read

We have been looking at the advantage that the Revenue Ops approach brings to marketing teams. As the revenue ops strategy aligns marketing with other departments involved, including the sales department, it also makes sense to pay attention to what it does for sales, specifically when the organization capitalizes on a CDP.

Topics: Revenue Operations

How machine learning solves your customer data quality issues

Ariella Brown | 3 minute read

Machine learning helps marketers find potential customers, understand customer purchasing patterns, and even predict and prevent churn. This blog explores where machine learning fits in around customer data quality issues.

Topics: machine learning

How to rev up your revenue engine

Ariella Brown | 3 minute read

Revenue Ops opens the way for marketing and sales operations to transform their funnel and scale their customer interactions. As a result of getting these different departments aligned to operate as one machine, businesses are able to anticipate and effectively meet their customers’ needs and expectations, using agility to successfully scale up.  

Topics: Revenue Operations

How revenue ops is a mindset of the next phase of B2B growth

Ariella Brown | 3 minute read

Revenue ops has been gaining some attention lately. You may have heard it so many times that you’ve come to wonder if it’s just another term businesses thrown around without meaning. But that is not the case.

Topics: Revenue Operations

3 Tips for achieving customer data quality

Ariella Brown | 3 minute read

You may have heard the expression, quality doesn’t cost --it pays. A more precise formulation applies to business in the form of the 1-10-100 rule of data quality. The idea is that while it could cost you $1 to corroborate the data upon entry, it costs $10 to clean it later and $100 to leave it uncorrected due to the various losses that will result from it. How to prevent that happening? Adopt a CDP solution.

Topics: customer data analysis