Duplicate accounts don’t just clutter your CRM. They split activity and pipeline across records, blur forecasts, and break every downstream workflow, including the AI tools that depend on that data.
To make matters worse, most dedupe tools pick a winning record based on surface-level fields, not what’s actually inside the account. Merge on the wrong criteria and you risk losing the record that matters most.
In this live demo, learn how Traction Complete uses agentic scoring to evaluate open opportunities, active contracts, recent activity, and ownership before any merge runs, so every merge decision reflects real account value.
You’ll see how to:
- Score every duplicate 1 to 10 with plain-English reasoning, so you know exactly why one record outranks another
- Configure scoring criteria to match how your team defines account value
- Standardize data with a normalization agent before matching runs, improving match rates and reducing false positives
- Evaluate your CRM for stale accounts or accounts that fall outside your ICP
