Data Cleansing & Enrichment

Your reports are only as good as the data underneath.

Duplicate contacts, blank fields, phone numbers formatted six different ways. When the data is wrong, the reports are wrong and the automation fires on the wrong things. We go through what you have, merge the duplicates, fill the gaps, normalise the formatting, and enrich what's missing, so the records your team and your tools depend on are actually right.

Audit firstQuality-first pricingNo lock-inYou own everything we buildSurry Hills, Sydney

You'll recognise some of these.

Messy data builds up quietly. It starts with one import, one team member entering things a different way, one field that nobody agreed on. By the time it causes a problem it's spread through the whole CRM.

  • The same contact or company appears two or three times, and your numbers are never quite right as a result.
  • Fields are half-filled, filled in the wrong field, or formatted five different ways across the same dataset.
  • Phone numbers, country names and job titles are inconsistent, so segmentation and automation don't work cleanly.
  • Reports disagree with each other because the data underneath is off.
  • Automation is firing on stale or wrong records, sending things to the wrong people or not sending at all.

How we fix it.

Step 1

A free consult

We talk through where the data problems are showing up and what clean looks like for you. If you don't need us yet, we'll say so. No charge for this part.

Step 2

Assess and scope

We look at the actual records: duplicates, blank or misused fields, formatting inconsistencies, missing data. You get a clear picture of what's wrong and what it will take to fix it before any work starts.

Step 3

Clean, merge, enrich

We merge the duplicates, normalise the formatting, fill the gaps where the data exists to fill them, and flag anything that needs a human decision. You see what changed and why.

Find out what your data is actually doing to your reports.

Start with a free consult. We'll tell you what's wrong, what fixing it involves, and what it costs, before you commit to anything.

Book a free consult

Common questions.

How do you know what to merge and what to keep separate?

We look at the evidence in the records: shared email addresses, company names, phone numbers, deal history. Where it's ambiguous we flag it for you rather than guess. You get a final say before anything is merged.

Will this break the automation that's already running?

We check what's running before we touch anything. If a workflow references a field or a contact segment that's in scope, we flag the dependency and work around it so nothing fires incorrectly mid-clean.

What if my data issues go deeper than formatting?

Sometimes they do. If we find structural problems in how the CRM is set up, properties that were never defined properly, or records that shouldn't exist at all, we'll tell you and scope the fix separately. You don't pay for things we haven't quoted.

Other things we do.