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Case Studies: Real Results with Verified Data

Examples of how Lorann's data and audience strategies support real campaign performance across industries and channels. Clear, outcome-focused — no fluff, no exaggeration.

Build My AudienceSee Industry Trends
Selected Work

Four recent engagements.

Names withheld for NDA purposes — but the approach, the data, and the outcomes are real.

Auto InsuranceMid-market insurer

Lifting quote-to-bind conversion with Signal eXchange™.

Challenge
A mid-market auto insurance carrier needed higher-intent lead volume to feed their call center — with strict CPL constraints.
Approach
We layered Signal eXchange™ intent signals onto their existing consumer file and prioritized records by in-market likelihood.
Outcome
+34% lift in quote-to-bind on matched segments, at a lower per-lead cost.
Conversion Lift+34%
CPL Change−21%
DeploymentCall center
B2B SaaSEnterprise platform vendor

Rebuilding ABM targeting from a legacy account list.

Challenge
A SaaS vendor had a stale ABM target list — out-of-date contacts, missing technographic signals, and poor deliverability.
Approach
We enriched their account file with current contacts, technographics, and intent overlays — then rebuilt the target list around ICP-fit segments.
Outcome
+52% improvement in email deliverability, +28% MQL lift over two quarters.
Deliverability+52%
MQL Lift+28%
Coverage4,200 accounts
HealthcareSpecialty pharma manufacturer

Reaching prescribing specialists with compliance built in.

Challenge
A specialty pharma brand needed targeted outreach to a specific prescribing physician segment without compromising on compliance posture.
Approach
We built a custom HCP audience using specialty, credential, and prescribing-pattern attributes — cleared through our compliance review before activation.
Outcome
Segment audience activated across email and direct mail; campaign achieved brand's target engagement benchmarks.
Segment Size~18K HCPs
ChannelsEmail + DM
ComplianceVerified
Financial ServicesRegional lender

Scaling consumer lending acquisition with a Marketing Analytics Modeling.

Challenge
A regional consumer lender wanted to scale acquisition in new geographies with a tightly-performing lookalike of their best customers.
Approach
We modeled Marketing Analytics Modeling from their best-performing customer cohort using consumer attributes + intent signals, then deployed across Programmatic and direct mail.
Outcome
+41% higher conversion on modeled segmentsvs. control audience.
Conversion Lift+41%
Geographies7 new DMAs
Channel MixProgrammatic + DM
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