Case Study: Resuelve achieves predictive qualification of thousands of leads with Panoply

How Resuelve Uses Data to Qualify Thousands of Leads

Resuelve, a Mexican consumer credit agency focused on helping people with debt and loans, faced fragmented data across PostgreSQL, MongoDB, Salesforce, Zendesk, MailChimp and spreadsheets that made lead scoring slow and inaccurate. Tasked with qualifying potential customers from tens of thousands of monthly leads, Resuelve selected Panoply’s smart cloud data warehouse to centralize data and replace manual joins and spreadsheet workflows.

Panoply connected Resuelve’s data touchpoints with built‑in integrations, automating ETL, storage management and query performance so non‑engineers could run analyses and free up data engineers to improve machine‑learning models. As a result, Panoply enabled self‑service analytics, a more predictive 100‑point lead scoring model, faster handling of thousands of leads, and a major expansion of data management without adding staff—support Panoply’s team described as “unrivaled.”

Resuelve

José Akle

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