See how ARDEM helped a global alternative legal services provider build more than 11,300 campaign-ready records, absorb a midstream field change, maintain 99.97% accuracy, and deliver the final database one week early.
MANAGED DATA RESEARCH CASE STUDY
Delivering 11,300+ Campaign-Ready Records One Week Ahead of Schedule
11,300+
Campaign-ready records
1 week early
Ahead of agreed date
99.97%
Completed dataset accuracy
1,000
Sample records revised
Overview
A global alternative legal services provider needed a specialized prospect database for a new product marketing initiative. The work required company research, current URL validation, industry categorization, specific contact research, client-defined fields, and a delivery window of only two to three weeks.
The Challenge
The client’s internal team could not research and normalize the required record volume within the available timeframe.
A 1,000-record proof of concept also triggered a new field requirement, creating rework and schedule risk after production had already begun.
The ARDEM Solution
ARDEM created a managed research and database creation workstream covering requirement alignment, sample validation, analyst calibration, scope-change control, scaled research, QC review, and final delivery.
Ten analysts completed more than 11,300 records, reworked the initial sample, and delivered the final database one week ahead of schedule.
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Managed Data Research
Case Study
Managed Data Research
Case Study
For CMOs, CROs, product marketing leaders, marketing operations teams, business development leaders, legal operations executives, and data teams building targeted B2B campaign datasets.
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Why ARDEM
Targeting rules, required fields, company universe, and delivery expectations were aligned before scale.
A 1,000-record proof of concept gave the client an early checkpoint.
The added field was incorporated through revised instructions and sample rework.
Ten analysts were aligned through sample tasks, live Q&A, monitoring, and feedback.
URLs, categories, formatting, and instruction adherence were reviewed before delivery.
Final output was delivered one week ahead of the agreed date.Managed Workflow Diagram
The Results
ARDEM processed more than 11,300 targeted records for the client’s product marketing initiative and delivered the final database one week ahead of the agreed date. The workflow absorbed a new field request after the 1,000-record sample, maintained a reported 99.97% completed-dataset accuracy, and gave the client a campaign-ready output without requiring it to build, train, and manage an internal ten-analyst research team.
The 11,300-Record Requirement Was Only the Visible Problem
The Larger Risk Was Missing Campaign Readiness Because Research Rules Changed Midstream
The client did not need a generic prospect list. It needed records that matched its own company universe, URL, industry, contact, and field requirements.
The compressed timeline made consistency difficult, and the added field after sample review created a direct rework risk across already completed records.
Temporary researchers or a generic data vendor would not have created the sample-feedback loop, analyst calibration, scope-change discipline, QC oversight, and deadline control needed for campaign-ready output.
ARDEM created a managed data research workflow around requirement alignment, a 1,000-record proof of concept, controlled scope changes, analyst calibration, scaled company research, field-level QC, and final packaging. The workflow produced more than 11,300 records at 99.97% accuracy and delivered one week early.
1
Requirement Alignment
Defined targeting rules, required fields, company universe, and delivery expectations.
2
Sample Validation
Built a 1,000-record proof of concept for client review.
3
Scope-Change Control
Added the new field and reworked completed sample records.
4
Analyst Calibration
Used sample tasks, live Q&A, monitoring, and feedback.
5
Research and Enrichment
Validated URLs, industries, contacts, and client-defined data.
6
QC and Final Delivery
Reviewed output and delivered 11,300+ records one week early.
What You’ll See in the Full PDF
The full case study explains:
- How targeting requirements were translated into a controlled research baseline
- Why the 1,000-record proof of concept reduced full-production risk
- How the new data field was absorbed without losing the delivery schedule
- How ten analysts were trained and calibrated for accelerated production
- How company names, current URLs, industries, contacts, and custom fields were normalized
- How QC and final review supported 99.97% accuracy and early delivery
Need a Campaign-Ready Database on a Compressed Timeline?
See how ARDEM controlled requirements, sample validation, scope changes, enrichment, QC, and early delivery.