Diamond Willow Increased Qualified Senior Living Inquiries and Reduced CPA

Tegan

Posted On: February 24, 2026

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10 mins read

Diamond Willow Increased Qualified Senior Living Inquiries and Reduced CPA

Tegan

Posted On: February 24, 2026

Table of Content

Diamond Willow operates assisted living and memory care communities across northern Minnesota. The organization supports seniors who need daily assistance, including residents living with Alzheimer’s and other forms of dementia. The business uses Google Ads to generate family inquiries and schedule community tours. While form submissions were coming in, cost per conversion fluctuated and not every inquiry reflected strong admission intent. CausalFunnel improved account performance by implementing a structured monthly optimization roadmap across Search and Performance Max campaigns. The goals were clear. Increase total conversions. Reduce cost per conversion. Improve lead quality rather than simply increasing form volume.

Background and Problem

Diamond Willow was consistently investing in paid advertising to capture demand from families searching for assisted living and memory care in Minnesota. However, early performance showed uneven results. Some months produced strong efficiency, while others saw higher cost per acquisition without a matching increase in qualified inquiries. One of the core challenges was clarity. All form fills were being treated equally in campaign optimization, even though not every inquiry represented a serious admission prospect. Search traffic also included a mix of early research and high intent decision stage users. Without stronger alignment between ad spend and genuine care inquiries, it was difficult to scale the budget confidently.

Case Study

The work began with a segmented performance review and detailed change analysis to understand which campaigns were truly driving results. From there, a structured cycle of testing and refinement was introduced. Search campaigns were reorganized around clearer intent themes. Higher intent keywords related to assisted living and memory care in specific Minnesota locations were prioritized, while lower intent queries were separated. Budgets were gradually shifted toward campaigns showing stronger conversion rates and stable performance. Bid strategies were adjusted in stages once performance stabilized. Rather than increasing spend aggressively, budgets were scaled only after efficiency was proven. This helped reduce volatility in cost per conversion while steadily increasing inquiry volume. Conversion tracking was also refined. Lower value actions were removed from primary optimization signals so campaigns focused on meaningful engagement such as completed contact forms and qualified phone calls. This reduced wasted spend and improved overall efficiency. A key improvement came from implementing CausalFunnel offline conversion tracking. Instead of optimizing for all inquiries equally, qualified lead status from internal review processes was sent back into Google Ads. This allowed campaigns to learn from high quality inquiries rather than surface level activity. As stronger data fed into the system, performance became more predictable. Conversion volume increased steadily while cost per conversion declined month over month during the later optimization period.

How CausalFunnel AI Solved the Problem

CausalFunnel’s framework focused on strengthening the link between advertising investment and real admission intent. By refining campaign structure, reallocating budget toward proven performers, and feeding qualified offline data into optimization, the account shifted from volume driven growth to value driven growth. Improved measurement clarity helped each adjustment build on previous gains. As higher quality signals guided bidding decisions, lead quality improved and cost efficiency stabilized.

Key Takeaway

Diamond Willow improved conversion stability and reduced cost per acquisition by structuring ongoing optimization cycles, refining bidding signals, and integrating qualified offline conversion data into campaign learning. By restructuring campaigns to optimize for value rather than volume, the organization achieved more predictable performance and stronger alignment between advertising spend and high intent senior living inquiries.

Conclusion

For assisted living and memory care providers like Diamond Willow, growth depends on connecting advertising investment to genuinely qualified family inquiries. Traffic alone is not enough. Through disciplined monthly optimization, intent based campaign restructuring, and CRM integrated offline conversion tracking, CausalFunnel helped Diamond Willow reduce CPA, improve lead quality, and create a more reliable foundation for scalable growth in senior care admissions.

FAQs

1What is an SEO funnel?

An SEO funnel is a framework that explains how search traffic turns into real business outcomes. It shows how pages move from visibility in search results to clicks, engagement, and conversions. Instead of focusing only on rankings, the SEO funnel helps identify where progress breaks down.

2 How is an SEO funnel different from a marketing funnel?

A marketing funnel focuses on user behavior across channels, while an SEO funnel focuses specifically on search-driven journeys. The SEO funnel combines technical processes like crawling and indexing with intent-based stages like TOFU, MOFU, and BOFU. Together, they explain how search engines and users interact with your content.

3Do I need both technical and intent-based SEO funnels?

Yes. Technical SEO ensures your pages can be discovered, indexed, and ranked. Intent-based SEO ensures users see the right content and CTAs at the right stage. Ignoring either side creates gaps that limit growth.

4How long does it take to see results from an SEO funnel?

Results depend on competition, technical health, and content quality. Technical fixes can show impact quickly, while content-driven funnel improvements usually take weeks or months. The benefit is that results compound over time.

5What metrics should I track for an SEO funnel?

Track different metrics at each stage. Early stages focus on impressions and engagement, while later stages focus on assisted conversions and revenue. Measuring by stage helps identify exactly where optimization is needed.

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