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Client Success Story — Collette Health

Untangling a CRM full of leads no one could trust

How FullFunnel cleaned up mislabeled Sales Qualified Leads in Collette Health's HubSpot, unlocking a broader, more trustworthy pool of leads for the BDR team.
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Client profile
Collette Health
IndustryHealthcare
AudienceInternal BDR team
ProgramCRM data cleanup
ToolsHubSpot
The Challenge

Sales Qualified Leads that weren't actually qualified.

Collette Health's HubSpot instance was brimming with Sales Qualified Leads lacking crucial context. The absence of clear qualification criteria made it difficult for the team to trust the data, raising concerns about the authenticity of leads and their current status. They urgently needed a way to distinguish between leads genuinely qualified by team members and those that had simply gone cold.
The Approach

Diagnose the mislabeling, then clean it up systematically.

To address the issue, we conducted a thorough examination of Collette Health's contacts, companies, lifecycle stages, and workflows. Our investigation revealed that a significant number of contacts and companies had been incorrectly classified as Sales Qualified Leads through a combination of bulk updates, imports, and workflows. Utilizing data analysis techniques, we identified patterns and trends to distinguish between genuinely qualified SQLs and those that had been inaccurately labeled. This analysis shed light on a substantial problem: a considerable portion of the contact database was inaccessible to the BDR team due to flawed data. In response, we devised and implemented cleanup workflows aimed at resetting the lifecycle stage of these contacts and companies, ensuring a more accurate representation of qualified leads in their HubSpot account.
Layer 1

Root-cause analysis

Investigation revealed a significant number of contacts and companies had been incorrectly classified as Sales Qualified Leads through a combination of bulk updates, imports, and workflows.

Layer 2

Pattern identification

Used data analysis techniques to distinguish between genuinely qualified SQLs and those inaccurately labeled, revealing that a substantial portion of the contact database was inaccessible to the BDR team due to flawed data.

Layer 3

Cleanup workflows

Devised and implemented cleanup workflows to reset the lifecycle stage of affected contacts and companies, ensuring an accurate representation of qualified leads.

The Results

The results.

Following the data cleanup initiative, Collette Health experienced a notable improvement in their operations. With enhanced visibility into the lifecycle stages of their contacts and companies, the BDRs gained access to a broader pool of leads to engage with. This increased abundance of leads not only provided the team with more opportunities for outreach but also instilled a greater sense of confidence in their ability to leverage HubSpot data effectively. Moreover, the cleanup effort enabled the generation of comprehensive reports on various metrics, including Marketing Qualified Leads progression through the funnel, SQLs generated, and leads earmarked for prospecting. Overall, the outcome of the cleanup initiative empowered the Collette Health team with actionable insights and improved efficiency in their lead management processes.
Why It Works · FullFunnel's Role

Bad labels hide good leads.

FullFunnel traces data problems to their root cause — bulk updates, imports, workflows — rather than just re-tagging records. This engagement is a proof point: mislabeled SQLs weren't just noise, they were locking a real pool of leads away from the BDR team. Resetting lifecycle stages accurately is what gave the team both more leads and more confidence in the data.
HubSpot

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