CRM CSV hygiene: quick dedupe & standardization tool

Many small-to-midsize sales teams and operations people struggle with low-quality CRM exports: duplicated contacts, inconsistent formatting, and missing normalization that waste reps’ time and distort pipeline metrics. Across an addressable base of roughly 5 million businesses, many have CRMs but lack processes or technical resources for ongoing data hygiene, creating routine manual work and poor campaign outcomes. You could build a CSV-first web tool that lets non-technical users upload CRM exports, run configurable fuzzy dedupe and standardization (phone, email, company name, address) with human-in-the-loop previews, and re-export or push back cleaned records; technical choices include modern fuzzy-matching libraries and lightweight ML for entity resolution, plus audit logs and a “safe mode” undo flow. Targeting a $600 ACV with a freemium tier for small datasets makes the economics realistic for SMBs, while optional connectors can be added later for higher-tier customers. This market is attractive now because CRM usage is expanding among SMBs, users prefer export-edit-reimport workflows over building integrations, and recent algorithmic gains make automated cleaning far more accurate and affordable — together supporting a $3.0B TAM and a healthy market score (82/100) and revenue potential (74/100). To stand out you should emphasize a CSV-first UX that delivers fast time-to-value (clean datasets in minutes), transparent rules and auditability to build trust, and strict privacy controls; be honest that competition is medium and that the main challenges will be avoiding false merges, proving ROI to skeptical buyers, and eventually deciding when to broaden beyond CSV to deeper platform integrations.