Data Quality ROI Calculator
Parameters
Department Scope
Sales
Marketing
Customer Success
Impact Scenario
Research-Based · 30%How big of a drain is data work to your team's time?
Recovery Scenarioⓘ
Balanced · 60%How much of this leak do you think we can recover?
Your organization generates $900.0M in annual revenue with 370 people across 3 revenue-critical departments.
Data quality gaps are estimated to drain $16.5M annually (roughly 1.8% of revenue) in preventable busywork. 1
Sales teams lose an estimated 32% of capacity to data entry and research 2; Marketing wastes 36% on data and tech issues 3; Customer Success absorbs 22% in context gaps 4.
Under a balanced model, an estimated $9.9M is recoverable, a projected 38.6x return on your $250.0K investment in data quality remediation and technology. 5
Annual Cost of Activity - Sales Team
ⓘDepartment Detail
Sales
Marketing
Customer Success
Sources & Methodology
This calculator estimates revenue and cost leakage from poor data quality using fully-loaded people costs per department. Every waste and recovery rate is deliberately conservative — set at or below the figures reported in published research — so the output is a cautious floor, not a best case. Where a department-level figure is an internal estimate rather than a direct citation, it is noted. Sources below.
1. Validity — The State of CRM Data Management in 2024
Global survey of 631 CRM users/stakeholders (US, UK, Australia). 31% of admins say poor-quality data costs at least 20% of annual revenue (a 933% increase vs. 2021); nearly 25% say less than half their CRM data is accurate; 41% have halted initiatives due to low-quality data.
2. Salesforce — State of Sales
Sales reps spend only roughly 28–30% of their time actually selling; the majority goes to administrative tasks and data entry.
3. Gartner — Cost of Poor Data Quality
Average cost of poor data quality: $12.9M per organization per year. From 'How to Improve Your Data Quality' (2021), reaffirmed in 'Gartner Identifies 12 Actions to Improve Data Quality' (2023).
4. Treasure Data / Industry Research — Marketing Data Waste
Marketing teams spend ~14.5 hours/week managing customer data (Treasure Data survey); broader industry estimates put 10–25% of marketing budgets wasted due to poor data.
5. Experian — Global Data Management Research
Organizations believe roughly a third of customer/prospect data is inaccurate; 95% of businesses see impacts from poor data quality.
6. McKinsey — Information Search Time
Knowledge workers spend ~1.8 hours/day (≈9.3 hours/week) searching for and gathering information. Directional context for customer-facing 'context gap' costs; not CS-specific.
7. IBM / Harvard Business Review — U.S. Cost of Bad Data
Bad data costs the U.S. ~$3.1 trillion per year (2016). Thomas C. Redman, 'Bad Data Costs the U.S. $3 Trillion Per Year,' HBR, Sept 22, 2016.