What is the cheapest way to clean up our CRM data?

Cleanup without governance is a treadmill. The rules that created the duplicates are still running, so the count returns within a year and the money is spent again.

Sapwood is a revenue operations and GTM engineering shop in Denver. The diagnostic is free. Retainer $2,000 a month for up to 15 hours a week, Kaypo included. included in the retainer outside it.
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Not another data cleaning tool. Start with an export and a defined cleanup plan, prioritising duplicate accounts and contacts, missing owners, invalid emails, dead records, inconsistent picklist values, and unused custom fields. Then set rules that stop the mess returning. Governance matters more than the cleanup: there is no point spending $5,000 cleaning 100,000 records if the system will create 20,000 more bad ones next year.

Last updated September 2026

Published prices. The diagnostic is free. Retainer $2,000 a month for up to 15 hours a week, Kaypo included.

What to prioritise, in order

Export everything first

Before any change. This is your rollback, and it costs nothing.

Duplicate accounts and contacts

The highest impact fix, and the one that distorts every downstream number.

Records with no owner

Unowned records are invisible records. Nobody works them and nobody notices.

Invalid and bouncing emails

Cheap to identify, and they quietly damage sending reputation.

Dead and inactive records

Anything untouched for years. Archive rather than delete, so the history survives.

Inconsistent picklist values

Six spellings of the same industry makes segmentation and routing unreliable.

Opportunities with impossible stages or dates

Close dates in the past, stages that contradict activity. These distort the forecast most.

Unused custom fields

Retire them. Every abandoned field is a decision someone will have to re-litigate later.

Want it done and kept clean?

Data cleanup with creation blocking is included in the $2,000 a month retainer. The rules come with it, so the cleanup holds.

The part everyone skips

Matching rules at creation

Blocking a duplicate before it enters costs nothing. Merging it later costs time forever.

Required fields, kept short

A short mandatory list gets complied with. A long one gets worked around, which produces worse data than no requirement at all.

Normalization on entry

Titles, regions, industries, and company names standardised as they arrive, so segmentation keeps working.

A named owner

Someone accountable for data quality, with a number they report on. Without that, entropy wins.

Common questions

Every price we charge is on the site.

No gated pricing and no call required to see a number. If you want to talk it through, the first one is free and takes thirty minutes.

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CRM Setup, Audit and Governance

What it covers and what it costs

What we built and what it changed

What a week of reading an existing system turns up, the order a rebuild has to happen in, and what has to hold as you grow.

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  • Salesforce consultant Setup, cleanup and governance
  • HubSpot that was never set up What to do about it

Questions

Can we clean CRM data ourselves?

Yes, and the export plus prioritized list above is genuinely most of it. The part worth outsourcing is the governance rules that stop it recurring.

Do we need a data cleaning tool?

Usually not at small scale. Native deduplication plus good rules handles most cases. Tools help above roughly 100,000 records.

How much does professional CRM cleanup cost?

Included in the $2,000 a month retainer.

How long does it take?

One to two weeks for the cleanup, inside a three to four week foundation build.

Will the duplicates come back?

Only if the rules do not change. Cleanup plus creation blocking is the whole fix, and doing only the first half guarantees a repeat.

Let us look under the hood.

Read-only access to your systems, and a written report you keep either way.

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Let's chat.

Thirty minutes. Tell us what you are working on and we will tell you on the call whether we can help.

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