Enrichment waterfall cost calculator
Model expected coverage and cost as unmatched records move through three sequential data providers.
Open toolSee what poor CRM data costs before the next cleanup.
Model inaccurate records, duplicates, wasted data spend, and manual cleanup time. The result separates recurring operating cost from the one-time remediation investment.
How the calculation works.
The calculator combines non-overlapping inaccurate and duplicate record estimates, caps them at the database size, and adds record-level data waste to the annual loaded cost of manual cleanup.
How to use the result.
Use the payback period to decide whether the first controlled cleanup should cover the entire CRM or a high-value segment. Replace every default with your own database and staffing numbers.
Formula behind the result.
- Affected records
- CRM records × combined affected rate
- Manual cost
- Weekly hours × loaded hourly cost × 52
- Cleanup investment
- CRM records × cleanup cost per record
- First-year ROI
- (Avoidable annual cost − cleanup investment) ÷ cleanup investment
Worked example.
For 25,000 records with 25% estimated issues, eight weekly cleanup hours, and a $0.12 per-record remediation cost, the model compares a $3,000 cleanup with the recurring data and labour cost.
Questions worth asking.
What counts as poor CRM data?
Examples include missing or outdated fields, invalid contact information, duplicates, inconsistent formatting, and records that cannot support routing, scoring, or reporting.
Does this calculator inspect my CRM?
No. It runs entirely from the assumptions you enter and does not request CRM access or upload customer records.
Should duplicate and inaccurate rates overlap?
Enter them as separate, non-overlapping estimates. The calculator adds them together and caps affected records at the size of the database.
Is the result a guaranteed saving?
No. It is a planning model. Validate the issue rates and manual effort with a controlled sample before approving a broader cleanup.