01
Automated Lead Enrichment
Hand-work on every lead became a pipeline:
- Enrichment flows automated
- Human review only on exceptions
- Throughput no longer people-bound
Case Study · SalesOps
A data-heavy CRM environment for lead generation teams. We automated enrichment, standardized the data and streamlined reporting — manual processing time dropped by 60%.
Apex in numbers
−60%
Manual processing time
24h
Response SLA
4
Core technologies
95%
Sprint predictability
About the project
LeadPanda runs lead generation as a service: campaigns feed a data-heavy CRM, operators enrich and qualify leads, and clients get pipelines they can sell into. The bottleneck was people doing machine work.
Manual enrichment throttled CRM throughput, inconsistent data handling produced uneven quality, and reporting took analysts away from analysis. Every new client made it worse. The mandate: automate the repetitive work without breaking the operation that pays the bills.
What we did
01
Hand-work on every lead became a pipeline:
02
One way to store, validate and move lead data:
03
Reports assemble themselves; analysts analyze:
Technology
A PHP core carrying the CRM, Python doing the data work, MySQL as the system of record and Redis keeping the hot paths fast.
When you need it
If any of these sound familiar, a short discovery call is usually enough to scope the team, the plan and the first milestone.
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