Services

CRM Data Cleansing Services

Your CRM is only as effective as the data it contains. If it’s cluttered with duplicates, outdated contacts, or missing fields, your team wastes time chasing the wrong accounts and your pipeline takes the hit.

At DataBees, we help GTM teams clean, standardize, and enrich their data. This enables sales teams to focus on selling and allows marketing to run campaigns that convert effectively.

Why Clean CRM Data Matters

Data decay renders your CRM inaccurate, slows down your sales teams, leads to missed opportunities, and lost revenue. Here’s what we help you avoid:

Our CRM Data Cleansing Services

We combine smart tech with a human touch to make sure your CRM is accurate, usable, and ready to drive revenue:

Data Deduplication

Remove duplicate records and merge, correct, enrich conflicting entries.

Check and fix emails, phone numbers, and account-level data so your team can trust every field.

Add missing fields crucial to your go-to-market motions, lead scoring models, segmentation, and routing efforts.

Combat data decay and keep your data fresh with scheduled clean-ups, so it stays accurate quarter after quarter.

Normalize naming conventions, formats, and structures to ensure workflows and automation run smoothly. 

Consolidate multiple CRMs or data sources into a single, clean, and unified dataset without losing historical context.

Remove irrelevant and redundant data. 

Our Process

How it works

We customize every project workflow to your requirements, but here is an example of how this process could work for you.

Step 1

Discovery and Scoping

We audit your CRM to identify inaccuracies and areas for improvement. We execute a trial workflow to estimate timelines

Step 2

Custom Plan & Estimate

We propose an allocation of DataBees researchers and data engineers, taking into account budget and time considerations. 

Step 3

Clean and Enrich

We archive redundancies, dedupe records. Then we use our researchers and in-house waterfall enrichment tech to enrich missing data points. 

Step 4

Validation & Testing

We complete data quality assurance. We then work with you to test lead scoring models, automations, and workflows.

Step 5

Ongoing Collaboration

We document and continually improve key processes to maintain the integrity of your data over time.

Adaptable to your technology stack

We integrate directly with your processes, automations and tech stack.

Data Types We Clean

Ready to get started?

Book a call with our team to discuss your CRM cleansing project.