> For the complete documentation index, see [llms.txt](https://resource.consumr.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://resource.consumr.ai/consumr.ai-case-studies/case-study-library/mortgage-drove-nearly-2x-incremental-leads-for-a-large-mortgage-provider.md).
# Mortgage: Drove nearly 2x incremental leads for a large mortgage provider
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Special Ad Category campaigns for credit, employment or housing opportunity ads have limited or unavailable targeting options you can use to define the audience you want your ads to reach. A large financial services client wanted to deep dive into understanding their consumers for effective targeting.
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### THE STORY
*Discovering new mortgage customers*
A market leader in Mortgage Loan Provisions faced the challenge to find effective ways to reach out to their audiences to overcome these new targeting restrictions whilst learning more about their engaged customers.
They were challenged with regulatory changes and operating in a highly cluttered space being blind to who their real consumer was.
The Goal: Signal Intelligence Beyond Platform Restrictions (Expand to see)
Being in a restrictive category, the goal was to garner intelligence into the ideal consumer profile to drive new customer leads efficiently through relevant targeting
Cover image
More business-qualified mortgage leads discovered through new audience discovery in Paid Social
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### THE SOLUTION
**Discover Non-Intuitive Cohorts**
#### Client Challenges Faced
* Lack of actionable insights for Decisions
* Limited scope for strategy with no consumer signals
#### Platform Challenges
* Provides aggregated performance data
* Doesn’t explain why campaigns work or how consumers shift
* Doesn’t tell you who comprises an audience set
#### How consumr.ai helps
* Artificial Intelligence unpacks mortgage audiences and analyzes against a pool of behavioral signals to recommend an ideal consumer profile to engage
* Decodes what behavioral traits your first-party data contains
* Recommends an ideal plan and execution strategy, forming a link from insights to activation
* Recommends shifts in consumer signals to alter communication strategies in real time
* Unpacking insights from the client’s qualified leads lookalike audience. These led to pivotal shifts in the brand’s audience engagement strategy.
### THE RESULT
The financial services giant’s campaign revealed:
* **179%** more business-qualified leads
* **56%** efficiency lift in driving new leads
* Consumer insights despite platform restrictions
* Discovery of non-intuitive cohorts at scale