Poor Data Quality
Everything is downstream of data quality. When account data is incomplete or inconsistent, analysis and ICP work are shaped by incorrect enrichment and segmentation instead of the actual characteristics of your accounts. Leading account prioritization that reps don't trust.
Gainbox addresses this by first validating every account, confirming the correct URL, matching website and company name, and ensuring the business is active, then applying industry tags and enriching accounts with custom data points specific to the use case, not limited to generic third-party data.
Fix Your Data Foundation
The first step in improving the data foundation is to validate each account to identify records that can negatively impact your initiative, such as incorrect URLs that disrupt third-party enrichment or accounts that do not map to an active business.
Next, let's clean up your firmographic data. Over time, account data is often sourced from multiple systems, leading to inconsistent and conflicting values. The industry field is especially prone to issues. Whether you want to apply a standard taxonomy like NAICS or use a custom industry list you define, Gainbox brings everything into a consistent structure.
Finally, use Gainbox's AI Research Agents to enrich accounts with the signals that matter to your specific product and GTM motion. This moves teams beyond firmographic targeting and enables account selection based on real use cases and highly specific indicators.
Keep it clean
Gainbox continues to validate both existing and newly added accounts to keep your CRM clean and aligned with your market as it changes. As companies evolve, rebrand, shut down, or shift focus, this ongoing validation ensures your data stays accurate and relevant over time, not just at the point of enrichment.
