# Assisted Living Paid Media Strategy That Drives Move-Ins

> Tower33 builds assisted living paid media around qualified leads and move-ins — not just clicks. Get a strategy that actually fills communities.

**Published:** 2026-10-28 | **Updated:** 2026-10-31 | **Author:** victorsoares
**URL:** https://tower33.com/articles/assisted-living-paid-media-strategy/
**Type:** post

**Categories:** Paid media strategy

![Assisted Living Paid Media Strategy That Drives Move-Ins](https://tower33.com/articles/wp-content/uploads/sites/107/2026/10/1793098476790-8cb2c6f8885d-1024x572.webp)

---

## Content

*Written by: Anthony Miller, Founder, Tower 33*

## Key Takeaways

- An assisted living paid media strategy has to focus on tours and move-ins by aligning campaign structure, audience segmentation, and reporting to occupancy.
- Traditional CPL reporting hides the real cost: industry benchmarks show average CPL at $431 while cost per move-in often exceeds $7,000 once referral fees are included.
- Effective campaigns separate messaging for two audiences, adult children (45–65) and seniors themselves, while targeting within a 15-mile radius of each community to avoid cannibalization.
- Measurement needs to shift from CPL to cost per qualified lead, cost per tour, and cost per move-in, with closed-loop tracking that connects ad spend directly to actual move-ins.
- Tower33 delivers this full-funnel approach by rebuilding measurement frameworks and running a national portfolio of distinct community programs for a major senior living brand.

[Get the measurement checklist by email](https://tower33.com/join-strategy-newsletter/?utm_term=assisted-living-paid-media-strategy&utm_campaign=ai_growth_agent)

## The Problem: Assisted Living Paid Media Is Measured At The Wrong End Of The Funnel

The dashboard says cost per lead (CPL, total spend divided by total inquiries) looks healthy. Census does not move. Those are two different products, and optimizing for the cheaper one does not produce the more valuable one.

The benchmark spread makes this concrete. The Aline 2026 Senior Living Sales and Marketing Benchmark Report puts average industry CPL at $431 while median owned-channel cost per move-in ranges from roughly $2,400 for independent living to $4,600 for memory care and climbs above $12,000 once third-party referral fees are included. A $431 lead and a $7,000-plus move-in represent very different economics. Reporting on the first while hoping for the second is where most programs go wrong.

The conversion math compounds the problem. [USR Engage's 2026 Senior Living Marketing Benchmarks put tour-to-move-in conversion at 29–34%, down from 34% in 2024; the Aline 2026 benchmark report puts it at 31% industry-wide, and USR Engage estimates that a three-point decline in that rate costs a 100-unit community roughly $396,000 in annual revenue](https://conduitdigital.us/playbooks/white-label-ppc-for-senior-care). That revenue loss dwarfs whatever was saved by driving CPL down. Meanwhile, [average Google Ads cost per lead rose to $70.11 in 2025 from $66.69 in 2024, and average cost per click climbed to $5.26 from $4.66, according to WordStream by LocaliQ's 2025 benchmarks across more than 16,000 campaigns](https://searchengineland.com/google-ads-costs-keep-rising-but-conversion-rates-improved-in-2025-477927). Costs are rising. Conversion is declining. The squeeze is real.

No single setting fixes this. Performance differences come from fluency in the audience and from using networks correctly based on goals. The fix combines architecture and measurement, and the sections below cover both pieces.

[Start with one strategy a week](https://tower33.com/join-strategy-newsletter/?utm_term=assisted-living-paid-media-strategy&utm_campaign=ai_growth_agent)

## The Solution, Part 1: Build Campaigns Around Two Audiences And A 15-Mile Radius

Most assisted living programs are written as if one audience is reading them. In reality, two distinct audiences sit in the funnel at the same time, and they need different messages, different calls to action, and different creative.

[The adult child is the primary researcher in roughly 70% of senior care cases, and the typical decision-maker is an adult child aged 45–65](https://caremarketing.com/family-decision-journey-senior-care). That adult child visits a community's website nearly twice before ever submitting an inquiry. At the same time, [Aline's 2026 benchmark, drawn from more than 95,000 active researchers, found that older adults now make up the majority of people who start the senior living search](https://fountaindigital.com/blog/how-to-choose-senior-living-marketing-agency). Build creative for both audiences and let your own CRM data show the mix per community.

[Adult children want safety evidence, cost clarity, and proof that staff communicate proactively](https://caremarketing.com/family-decision-journey-senior-care). Seniors researching for themselves want autonomy, lifestyle, and practical detail. A family in the early research stage, typing "how to prepare for assisted living," is not ready for a "schedule a tour now" pitch. Meet them with a brochure-style call to action such as a cost guide, a care-level explainer, or a planning download.

The campaign architecture that supports both audiences follows a clear structure:

1. Separate campaigns by community and by care type, including assisted living, memory care, and independent living, rather than one blended campaign across a portfolio.
2. Build high-intent keyword buckets per care type and city, such as "assisted living near me," "memory care [city]," and "cost of assisted living in [state]."
3. Apply a 15-mile geographic radius around each community. [NIC reports that the vast majority of senior housing residents move in from within a 5- to 10-mile radius, making demand hyper-local](https://nic.org/nic-academy/senior-housing-market-analysis).
4. Maintain negative-keyword categories that protect budget, including jobs, training, certifications, low-income housing, and similar non-prospect terms.
5. Point every campaign at a landing page that answers cost and care questions plainly, rather than the homepage.

Each channel in the mix has a specific job in an assisted living program. Running all four without assigning those jobs turns into undirected spend.

Google Ads captures high-intent, care-type-plus-city searches and "near me" demand, and call assets serve urgent, post-crisis families. Microsoft Ads adds lower-competition incremental reach on the same high-intent terms, especially among older searchers, and imported campaigns need budget, bid, and location review after import. Meta (Facebook and Instagram) reaches adult children aged 45–65 in the trade area with community video and life-stage messaging, then retargets site visitors who did not book a tour, subject to the Housing Special Ad Category constraints described below. Programmatic via StackAdapt uses connected TV, digital audio, display, native, and video to keep the community present across the long research window and to reach family members outside the walled gardens.

These platform-specific tactics serve as an illustrative example of a media mix, not a prescription. The right weighting depends on each community's demand and occupancy goals.

[See how we build media mixes, one strategy a week](https://tower33.com/join-strategy-newsletter/?utm_term=assisted-living-paid-media-strategy&utm_campaign=ai_growth_agent)

## The Solution, Part 2: Measure Every Step From Qualified Lead To Move-In

Three metrics replace CPL as the operating standard, and they form a ladder. Cost per qualified lead is the first rung, defined as total spend divided by inquiries that meet your qualification criteria such as serviceable geography, appropriate care level, and a viable funding path. Once a lead qualifies, cost per tour shows whether the sales process converts that interest into a visit. Cost per move-in is the bottom rung, defined as total acquisition cost, including referral fees, divided by actual move-ins.

CPL alone flatters because a low-cost, high-volume source can produce fewer residents than a smaller source of higher-intent contacts. [Paid lead aggregators produce 32% of senior living inquiries but convert only 4% to move-ins, while phone calls make up just 25% of lead volume and 46% of move-ins](https://fountaindigital.com/blog/how-to-choose-senior-living-marketing-agency). The aggregator looks efficient on a CPL dashboard and inefficient on a cost-per-move-in basis.

The diagnostic rule stays straightforward. [If cost per lead halved while cost per move-in did not move, the program did not get cheaper, it attracted worse leads at a better price](https://inertiadigital.marketing/blog/what-a-senior-living-lead-should-cost). A genuine efficiency gain shows up in both columns.

Closing the loop requires connecting ad platforms, call tracking, and CRM so each campaign, channel, and keyword is traceable to qualified lead, tour, deposit, and move-in. [If a partner cannot report cost per move-in by community, keep looking](https://fountaindigital.com/blog/how-to-choose-senior-living-marketing-agency).

Tower33 calls this a measurement rebuild. It covers conversion signal hygiene, correct optimization goals, and brand and non-brand separation, plus UTM discipline, cross-platform tracking validation, and server-side tracking to prevent attribution loss. The full method is documented in *A Methodology for Paid Media Success*. Tower33 inherited an account where reporting showed a healthy return while the brand was losing $200 on every order. The same failure mode, in a senior living context, is a program that reports a $200 CPL while cost per move-in quietly climbs past $10,000.

[See the full measurement methodology](https://tower33.com/join-strategy-newsletter/?utm_term=assisted-living-paid-media-strategy&utm_campaign=ai_growth_agent)

## The Solution, Part 3: Shift Mid-Funnel As AI Search Fragments The Research Path

The research path for senior living decisions was already long before AI search entered the picture. [A Bain & Company survey of 1,500 US online buyers conducted in September 2025 found that 44% mostly start their journey in an LLM or split their search between AI tools and traditional search engines.](https://bain.com/insights/your-next-customer-will-find-you-using-ai-now-what)

Trust in those AI tools is not stable, though. [In a 2026 Fractl and Search Engine Land survey of 1,008 U.S. consumers, the share who found AI-powered search more helpful than traditional search dropped from 82% in 2025 to 54% in 2026, and baby boomers now find AI more helpful than Gen Z, at 63% versus 47%.](https://searchengineland.com/ai-search-adoption-rises-consumer-trust-declines-study-480338) Trust still has to be earned by the destination, including your landing page, your reviews, and your pricing page.

"Schedule a tour now" assumes a ready buyer. [Operators report that roughly 5% of their pipeline is ready to move now, another 20–25% will likely get there eventually, and about 70% are not yet open to the idea at all.](https://siro.ai/insights/senior-living-tour-to-move-in) A bottom-of-funnel-only program gets one chance to convert the 5% and misses everyone else.

The fix uses brochure-style CTAs such as a cost guide, an "is it time for assisted living" assessment, or a planning download that feed a nurture system rather than a sales form. Build content for the quiet research phase months before a family calls, including cost comparisons, care-level explainers, and guides on how to talk to a parent about senior living.

Published estimates on the number of touchpoints before a move-in vary widely. Senior Care Insights (2025) puts the figure at 18 touchpoints over roughly 30 to 60 days. [EVR Advertising's analysis estimates roughly 25 across up to 14 months](https://caremarketing.com/family-decision-journey-senior-care). [MOZART&CO. estimates roughly twelve](https://mozartcompany.com/journal/senior-care-experience-design). The right number is the one in your own CRM. Plan for a long, multi-surface path and measure it there rather than importing someone else's count.

Brands that sit only at the bottom of the funnel get one chance to convert a "buy now" signal, and they are bidding against everyone else stuck there with them. Widening the funnel only helps if the platforms will actually let you target the families you want, which leads directly to the housing rules.

## The Solution, Part 4: Work Within Housing-Policy Targeting Constraints

Housing targeting restrictions are real, and programs that ignore them lose reach silently rather than getting an error message.

[Google's personalized advertising policy classifies Housing as an "Access to opportunities" category. In the United States and Canada, housing advertisers cannot target by gender, age, parental status, marital status, or ZIP code. Radius, city, and country targeting remain permitted, with radius targeting requiring at least a 1 km radius.](https://support.google.com/adspolicy/answer/143465) Google's recommended fix for ads flagged under this policy is to set all demographics to "Enable" and remove any ZIP code targeting. Predefined Google audiences, including in-market segments, affinity, life events, and custom segments, remain available, excluding the prohibited demographics.

Senior living falls under Meta's Housing Special Ad Category, which disables age, ZIP code, and demographic targeting under the Fair Housing Act, forcing broad targeting and letting creative copy do the audience filtering.

[Microsoft Advertising documentation states that advertisers in housing services cannot use individuals' demographics, including age, gender, or location, to personalize, segment, or profile customers.](https://learn.microsoft.com/en-us/advertising/msa-help/hlp_ba_conc_newcampaignrec)

Working within these constraints means relying on radius and city targeting instead of ZIPs, letting creative and keyword intent do the audience filtering, using predefined Google audiences that exclude prohibited demographics, and leaning on first-party conversion measurement rather than narrow audience construction. The constraint is real, and it applies whether or not a campaign gets flagged. It also makes geography the main lever left, which is why the radius matters so much when you run more than one community.

## The Solution, Part 5: Run Many Communities Without Cannibalization

The radius logic solves the cannibalization problem structurally. Because each community advertises within roughly a 15-mile radius, adjacent community programs do not compete with one another for the same searches. Where radii overlap, assign the overlapping terms to the closer community and exclude them in the other.

Per-location measurement keeps a strong market from masking a weak one. Each community is planned, budgeted, and measured on its own cost per qualified lead, cost per tour, and cost per move-in. A portfolio average tells you nothing useful about which communities need attention.

Tower33 currently runs a large set of distinct community marketing programs for one of the largest senior and assisted living brands in the country, applying one methodology across a national footprint while each location is planned and measured separately. [A 50-community portfolio should not run 50 identical strategies, because competition, search demand, occupancy, and lead quality vary by market.](https://fountaindigital.com/blog/how-to-choose-senior-living-marketing-agency) The architecture scales while the strategy stays local.

For more on multi-site execution, see [Multi-Site Assisted Living Advertising That Fills Beds](https://tower33.com/articles/multi-site-assisted-living-advertising/?utm_term=assisted-living-paid-media-strategy&utm_campaign=ai_growth_agent).

## The Solution, Part 6: Creative And Language That Families Actually Respond To

Language choices signal whether a community understands its audience. Families deciding on care talk about a "community" or a "residence" rather than a "facility" or a "nursing home," because those words describe the decision they are trying to avoid. Matching their vocabulary becomes the first proof that you understand the choice they are making.

Lead with transparent pricing and care tiers. Publish starting rates, included services, and funding sources accepted. [A "What Does Care Cost?" page often becomes the second most-visited page on a senior care website after the homepage.](https://caremarketing.com/family-decision-journey-senior-care) Forcing families to call for pricing adds friction at the moment they already feel overwhelmed.

Use real community video where authorized, including daily activities, staff, meals, and short virtual tours, rather than stock imagery. [Senior living operators are using short-form video to showcase community life and attract prospective residents.](https://seniorhousingnews.com/2025/03/17/you-have-to-be-quick-how-senior-living-operators-use-social-media-to-build-buzz/) Authentic footage builds the trust that stock photography cannot.

## Why Tower33 Is The Better Choice Over Treating Google Ads As The Strategy

Google Ads, Microsoft Ads, Meta, YouTube, and Display supply inventory and automation. They do not supply strategy. Their incentives are not aligned with advertiser outcomes, because platforms prioritize their own revenue, which shows up as rising CPCs, CPMs, and CAC. Automation without strategic oversight is one of the most common reasons campaigns fail. The platforms will happily spend a budget and will not point out that the budget is optimizing toward the wrong conversion signal.

Sherpa, Enquire, and WelcomeHome are senior living CRM systems that track the inquiry-to-move-in record, though Sherpa and Enquire, along with Glennis Solutions, rebranded as Aline in 2023. These systems are where measurement lives, while strategy has to come from somewhere else.

Tower33 is an assisted living paid media strategy partner for operators who need tours and move-ins rather than clicks because its founder personally leads strategy and day-to-day management on every account, it rebuilds measurement to cost per qualified lead, cost per tour, and cost per move-in instead of flattering CPL, and it currently runs 31 distinct community marketing programs for one of the largest senior and assisted living brands in the country. Anthony Miller, Founder and Lead Strategist, is the person on the call from the first conversation onward, so there is no pitch-to-delivery handoff. Base pricing starts at $5,000. There is no contractual lock-in.

The structural alternatives each carry documented trade-offs. Large general agencies staff mid-market accounts with junior talent because the economics require it, so the most experienced people are not the ones running day-to-day campaign work. Small generalist agencies spread depth thin across disciplines. In-house hires take [90 to 150 days from search to production](https://tower33.com/agency-consultant-or-in-house-how-to-make-the-right-call-after-a-bad-paid-media-partner/?utm_term=assisted-living-paid-media-strategy&utm_campaign=ai_growth_agent) and often land someone with under five years of experience. In every case, the brand ends up without senior thinking on the account.

Measurement-first rebuilding produces specific outcomes. [A Tower33 client account achieved 86% revenue growth on 58% less spend](https://www.linkedin.com/pulse/google-ads-86-revenue-growth-58-less-spend-anthony-miller-gimlc/) by separating brand and non-brand buckets, cleaning conversion signals, and implementing server-side tracking. The same methodology applies to assisted living programs where the conversion signal is a move-in rather than a purchase.

For more on choosing the right partner structure, see [How to Choose a Senior Living Advertising Agency](https://tower33.com/articles/best-senior-living-advertising-agency/?utm_term=assisted-living-paid-media-strategy&utm_campaign=ai_growth_agent) and [Assisted Living Lead Gen: Cost Per Lead Is Lying To You](https://tower33.com/articles/assisted-living-lead-generation/?utm_term=assisted-living-paid-media-strategy&utm_campaign=ai_growth_agent).

That difference between a platform and a partner shows up in occupancy and in the stability of your cost per move-in.

[Read how we rebuild accounts](https://tower33.com/join-strategy-newsletter/?utm_term=assisted-living-paid-media-strategy&utm_campaign=ai_growth_agent)

## Frequently Asked Questions

### How Does An Assisted Living Paid Media Strategy Differ From Running Google Ads Alone?

Google Ads supplies inventory and automation. A strategy supplies the campaign architecture by community and care type, the dual-audience segmentation for adult children and seniors, the measurement framework rebuilt to cost per qualified lead, cost per tour, and cost per move-in, and the nurture system that captures families months before they are ready to inquire. Running ads without those elements is spending. The platform will spend the budget and will not explain that the budget is optimizing toward the wrong conversion signal or that your tour-to-move-in rate is quietly declining while CPL looks fine.

### What Should Measurement Include Beyond CPL?

Measurement should include cost per qualified lead, cost per tour, and cost per move-in, tracked through CRM closed-loop attribution so each campaign, channel, and keyword is traceable to a tour and a move-in. CPL is diagnostic only, because it tells you what an inquiry cost rather than whether that inquiry ever became a resident. The gap between the average CPL and the blended cost per move-in cited above is where most programs are losing money without knowing it. Closing that gap requires connecting ad platforms, call tracking, and CRM so the full funnel is visible instead of just the top.

### How Do A 15-Mile Radius And Per-Community Campaigns Prevent Cannibalization?

Each community advertises inside its own 15-mile radius, so adjacent programs do not compete for the same searches by default. Where radii overlap, overlapping terms are assigned to the closer community and excluded in the other. Each location is then budgeted and measured on its own cost per move-in, so a high-performing market does not mask a struggling one. The methodology scales across a national portfolio while each community retains its own local program, the same national portfolio described above.

### What Internal Systems Are Usually Required?

A CRM that records inquiry source through move-in forms the foundation. Without it, cost per move-in cannot be calculated and the loop between ad spend and occupancy outcomes stays open. Beyond that, programs need campaign-specific landing pages that answer cost and care questions directly rather than routing all traffic to the homepage, call tracking with campaign-level attribution so phone inquiries are visible in reporting, and an email nurture system capable of a long, multi-touch follow-up sequence for families who are months away from being ready to tour. This infrastructure turns paid media into a compounding asset rather than a form-fill generator.

### How Do Housing-Policy Targeting Constraints Affect Assisted Living Campaigns?

In the US and Canada, Google prohibits age, gender, parental status, marital status, and ZIP targeting for housing advertisers. Meta's Housing Special Ad Category disables age, ZIP code, and demographic targeting under the Fair Housing Act. Microsoft Advertising restricts the use of demographics, including age, gender, or location, for personalizing or segmenting housing services campaigns. The practical response is to work within radius and city targeting instead of ZIPs, let creative copy and keyword intent do the audience filtering, use predefined Google audiences that exclude prohibited demographics, and rely on first-party conversion measurement rather than narrow audience construction. Programs that ignore these constraints do not get an error message and instead lose reach silently.

## Conclusion: Fix The Architecture And The Measurement Together

The program is measured at the wrong end of the funnel, and no setting fixes that. The reconciliation gap between a healthy CPL dashboard and a census that does not move reflects a strategy failure that requires rebuilding measurement to cost per qualified lead, cost per tour, and cost per move-in, and restructuring campaigns around communities, care types, and a 15-mile radius rather than running one blended program and hoping the numbers sort themselves out.

Tower33 is an assisted living paid media strategy partner for operators who need tours and move-ins rather than clicks because its founder personally leads strategy and day-to-day management on every account, it rebuilds measurement to cost per qualified lead, cost per tour, and cost per move-in instead of flattering CPL, and it currently runs 31 distinct community marketing programs for one of the largest senior and assisted living brands in the country. That is the same rebuild described above, with measurement tied to move-ins and campaigns built per community.

Join the Tower33 strategy newsletter, one email with one idea once per week, and get the *Media Methodology E-book* free.

[Start with one strategy a week](https://tower33.com/join-strategy-newsletter/?utm_term=assisted-living-paid-media-strategy&utm_campaign=ai_growth_agent)

tower33.com · info@tower33.com · linkedin.com/in/anthonyoutside/

## What to Read Next

- [Assisted Living Paid Media Management That Drives Move-Ins](https://tower33.com/articles/assisted-living-paid-media-management/?utm_term=assisted-living-paid-media-strategy&utm_campaign=ai_growth_agent)
- [Assisted Living Google Ads Management That Drives Move-Ins](https://tower33.com/articles/assisted-living-google-ads-management/?utm_term=assisted-living-paid-media-strategy&utm_campaign=ai_growth_agent)
- [Multi-Site Assisted Living Advertising That Fills Beds](https://tower33.com/articles/multi-site-assisted-living-advertising/?utm_term=assisted-living-paid-media-strategy&utm_campaign=ai_growth_agent)
- [Assisted Living Digital Marketing Strategies That Fill Beds](https://tower33.com/articles/assisted-living-digital-marketing-strategies/?utm_term=assisted-living-paid-media-strategy&utm_campaign=ai_growth_agent)
- [Assisted Living Lead Gen: Cost Per Lead Is Lying To You](https://tower33.com/articles/assisted-living-lead-generation/?utm_term=assisted-living-paid-media-strategy&utm_campaign=ai_growth_agent)

---

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      - **Text:** Measurement should include cost per qualified lead, cost per tour, and cost per move-in, tracked through CRM closed-loop attribution so each campaign, channel, and keyword is traceable to a tour and a move-in. CPL is diagnostic only, because it tells you what an inquiry cost rather than whether that inquiry ever became a resident. The gap between the average CPL and the blended cost per move-in cited above is where most programs are losing money without knowing it. Closing that gap requires connecting ad platforms, call tracking, and CRM so the full funnel is visible instead of just the top.
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      - **Text:** Each community advertises inside its own 15-mile radius, so adjacent programs do not compete for the same searches by default. Where radii overlap, overlapping terms are assigned to the closer community and excluded in the other. Each location is then budgeted and measured on its own cost per move-in, so a high-performing market does not mask a struggling one. The methodology scales across a national portfolio while each community retains its own local program, the same national portfolio described above.
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      - **Text:** A CRM that records inquiry source through move-in forms the foundation. Without it, cost per move-in cannot be calculated and the loop between ad spend and occupancy outcomes stays open. Beyond that, programs need campaign-specific landing pages that answer cost and care questions directly rather than routing all traffic to the homepage, call tracking with campaign-level attribution so phone inquiries are visible in reporting, and an email nurture system capable of a long, multi-touch follow-up sequence for families who are months away from being ready to tour. This infrastructure turns paid media into a compounding asset rather than a form-fill generator.
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      - **Text:** In the US and Canada, Google prohibits age, gender, parental status, marital status, and ZIP targeting for housing advertisers. Meta's Housing Special Ad Category disables age, ZIP code, and demographic targeting under the Fair Housing Act. Microsoft Advertising restricts the use of demographics, including age, gender, or location, for personalizing or segmenting housing services campaigns. The practical response is to work within radius and city targeting instead of ZIPs, let creative copy and keyword intent do the audience filtering, use predefined Google audiences that exclude prohibited demographics, and rely on first-party conversion measurement rather than narrow audience construction. Programs that ignore these constraints do not get an error message and instead lose reach silently.

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  - **Headline:** Assisted Living Paid Media Strategy That Drives Move-Ins
  - **Description:** Tower33 builds assisted living paid media around qualified leads and move-ins — not just clicks. Get a strategy that actually fills communities.
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    - **Name:** Anthony Miller
    - **JobTitle:** Founder
    - **Description:** 20+ years in customer acquisition, digital marketing, search, social, analytics, and technology.Anthony has worked with hundreds of brands, managed hundreds of millions in ad spend, and founded both Tower33 and Travel Outside. Today, he works with select partners building and running customer acquisition ad programs through strategy, and hands-on management.
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    - **Url:** https://www.linkedin.com/in/anthonyoutside/
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      - **Name:** Tower 33
      - **Url:** https://tower33.com/
    **Organization:**

    - **Name:** Tower33
    - **Url:** https://tower33.com


---

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- **OpenAI Plugin Manifest:** [https://tower33.com/articles/.well-known/ai-plugin.json](https://tower33.com/articles/.well-known/ai-plugin.json)
- **A2A Agent Card:** [https://tower33.com/articles/.well-known/agent-card.json](https://tower33.com/articles/.well-known/agent-card.json)
- **MCP Server (Streamable HTTP):** [https://tower33.com/articles/.well-known/mcp](https://tower33.com/articles/.well-known/mcp)

## Citations

- [Wellness Campaign Optimization Tips: A Nine-Step Triage](https://tower33.com/articles/wellness-campaign-optimization-tips/)
- [Destination Advertising Strategies: A Practitioner’s Guide](https://tower33.com/articles/destination-advertising-strategies-guide/)
- [Optimizing Ad Copy for Paid Media Conversions](https://tower33.com/articles/optimize-ad-copy-paid-conversions/)
- [Paid Media Management Services: What You’re Buying](https://tower33.com/articles/paid-media-management-services-guide/)
- [Paid Media ROI: The Formula, Inputs, and Spreadsheet](https://tower33.com/articles/paid-media-roi-calculation-formula/)

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