964 Decision-Makers Mapped Across 450 Accounts for Targeted Outbound
A data analytics consulting firm needed to find mid-market and enterprise accounts running legacy data infrastructure, but lacked technology intelligence and decision-maker contacts. SiyaSphere researched legacy EDW, ETL, and BI platforms and incumbent vendors across 450+ target accounts, then mapped verified decision-makers across data, analytics, AI, and cloud. The firm received 964 verified contacts and 224 accounts ready for targeted outreach.
- Verified decision-maker contacts
- 964
- Verified decision-maker contacts
- Accounts with legacy tech signals
- 346
- Accounts with legacy tech signals
- Accounts ready for outreach
- 224
- Accounts ready for outreach
The challenge
- The firm needed to target mid-market and enterprise accounts running legacy data infrastructure.
- It had a large account universe but little technology intelligence.
- Without decision-maker contact data, the outbound team couldn't prioritise or activate campaigns.
What we built
- 1
Technology mapping
Researched each account's legacy data technology (EDW, ETL, and BI platforms) and incumbent vendors.
- 2
Decision-maker identification
Identified key decision-makers across data, analytics, AI, and cloud functions, with verified LinkedIn profiles and contact details.
- 3
Firmographic enrichment
Enriched every account with full firmographic data to support precise targeting and segmentation.
Results
- 450 companies researched and profiled
- 346 companies with confirmed legacy technology signals
- 964 qualified decision-maker contacts identified
- 224 companies ready for targeted outreach
- 100% verified contact data
Key takeaway
Technographic signals turn a generic account list into a prioritised one. Knowing which accounts run the technology you replace tells sales exactly where to start.