February 20, 2020

Why Insycle? 12 Growth-Boosting Reasons to Improve your Customer Data Management

You know there are issues in your CRM. Every company has some “usual suspects” when it comes to CRM data errors — duplicate records, inconsistent data, formatting errors, and general data input errors — represent just a few examples.

You know that those data issues have an impact. You’ve seen the embarrassing mistakes in marketing automation — like the time that you imported prospect last names[…]

February 13, 2020

5 Steps for CRM Data Standardization

Have you ever gone to use data from your CRM, maybe in marketing automation, only to find that inconsistencies in the data are causing issues and embarrassing errors that could harm your company's reputation? Everyone has.

Standardized data, often referred to offhand as data normalization, is a critical piece of the puzzle when it comes to ensuring CRM data quality. Standardizing data improves[…]

February 06, 2020

The Business Case Against Improperly Associated Contacts and Companies in Your CRM

Whether we’re talking about HubSpot, Salesforce, Intercom, Pipedrive, or any popular modern CRM — few customer data problems have more real-world impact than improperly associating, or failing to associate, the people/contacts in your system and the companies they belong to.

The worst part? Most companies don’t even know how much this is dampening their effectiveness. It’s a silent killer among[…]

January 09, 2020

Four Phases of Customer Data Management Evolution

In the beginning, you simply collect data. Perha ps there just isn’t enough data collected for you to worry about the processes and tasks associated with managing it.

But over time, as your customer data grows and becomes more complicated, it necessitates a higher level of focus and planning around how you organize, cleanse, nurture, and generally manage that data — or at least it should.

[…]

Start Your Free Trial