But most companies pay far too little attention to nipping data paytm database issues in the bud—in fact, more than one-third of companies clean their CRM contact fewer than four times a year. Allowing data to get "dirty" disrupts marketing personalization campaigns, sales lead management, and marketing reporting for department managers.
However, keeping your HubSpot database up to date requires time-consuming manual processes. Unreliable data in a CRM that's challenging to clean is a double conundrum you can't and shouldn't ignore.
Thankfully, solutions exist to eliminate both frustrations. Let's explore how you can perform HubSpot data cleaning easier and faster with flexible automation tools.

The Business Impact of Poor Data Quality in HubSpot
If you're dealing with poor data quality in HubSpot, odds are you have already seen issues including:
reduced customer engagement and conversion rates because of a lack of personalized communication caused by incorrect or incomplete data;
inadequate audience targeting, inaccurate marketing and sales analytics, and inability to track campaign performance due to segmentation and reporting challenges caused by incorrect data;
wasted time and money on redundant communications that lead to nowhere and make your company look bad to current and prospective customers due to outdated and invalid records;
misallocated resources to low-value leads due to poor lead scoring and routing that results from dirty data;
ineffective decision-making caused by the inability to measure true performance and ROI for sales and marketing campaigns; and
decreased job satisfaction, morale, and productivity because of the frustration from spending weeks manually updating and cleaning data.
The Problem With Manual Data Cleaning in HubSpot
HubSpot is an excellent CRM for capturing information from leads and customers. But it's not so great at keeping your data squeaky clean. This is because there's no simple way to audit, track, and monitor existing data issues in HubSpot's CRM database. So you're unaware of just how dirty your data truly is.