Home Care Agency Marketing Plan: Build One With AI and Local Data

Gather your own local data first (what people search, where referrals come from, how many enquiries become clients), then give that data to an AI assistant and ask it to draft a one-page plan covering referral partners, local search, family messages, a budget and monthly checks. Reality-check every claim against your numbers.

That order is the difference from a generic template. A template says "post on social media three times a week", and an AI without facts will say the same. An AI that has your enquiry sources, your service area and your capacity can say "your referrals from discharge planners convert at three times the rate of web enquiries, so protect that first". What follows covers the data to collect, the prompts to use, and how to catch the places where AI sounds sure and is wrong.

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The five numbers that decide the plan

Before opening a chat window, write down five numbers from your own records. They take an hour to collect and they set the limits for everything else.

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• Capacity: how many more clients, and how many weekly care hours, you can serve with the carers you have or can hire in the next quarter. Marketing for demand you cannot staff damages your reputation.
• Value of a client: average weekly hours multiplied by your hourly rate, times the average number of weeks a client stays. Use your own history, not an industry figure.
• Source of last year's clients: count how many came from referrals, Google, word of mouth, a website enquiry or something else. Ask the family at assessment if you do not record it.
• Enquiry-to-start rate: of every ten enquiries, how many book an assessment, and of those, how many start care.
• Response time: how long a new enquiry waits for a first reply. Families asking about care are often in a hurry, and a slow reply sends them to the next name on the list.

An illustration, with invented figures: a 12-carer agency can take six more clients. An average client uses 15 care hours a week at $35 an hour, so $525 a week, and stays about 40 weeks, so roughly $21,000 in revenue. Last year, 9 of 14 new clients came from referrals, 3 from Google and 2 from word of mouth. Out of every ten enquiries, four book an assessment and three start. First replies take a day and a half. The plan will say: protect referrals, speed up replies, and test one small search campaign.

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Local search data: what to pull and where from

You do not need paid tools to find out how families across your service patch search. These free sources give you the real wording.

1. Your Google Business Profile. The performance section shows the search terms people used to find you and how many views, calls, direction requests and website clicks you received. Search terms update at the start of each month, and the report can be downloaded to a spreadsheet, so note the top terms monthly.
2. Search Console, if your website has it. It lists the queries that showed your site and the pages that got clicks. Look for terms with many impressions and few clicks, because those are pages to improve.
3. Google's autocomplete and "People also ask" boxes. Type "home care for my mother" and note the suggestions. These show the questions families ask.
4. Google Trends. Compare phrases such as "home care", "elderly care at home" and "live-in carer" over time where you operate to see which wording is rising and whether there is seasonality.
5. A keyword planning tool. Google's Keyword Planner needs a Google Ads account with billing details entered, and gives estimates of monthly searches; very low-volume terms may not show at all. Treat the numbers as rough guides.
6. Your enquiry inbox and call notes. The most honest source. Copy the first line of twenty recent enquiries, with names removed, to see what families actually ask first.

Be careful with client information. Enquiry text can include a person's name, address, condition and family circumstances. Remove names, addresses and anything medical before you paste a line into an AI tool, or use a tool covered by a business associate agreement if you serve covered clients. The privacy policy tutorial explains where that line sits.

Turning the data into a grouped list of searches

Now ask AI to do something it is good at: sort. Paste your search terms and enquiry first lines (anonymised), and ask it to group them by what the family needs. Here is a prompt.

Below are search terms from my home care agency's Google Business Profile and the first lines of 20 enquiries (names and addresses removed). Group them by the family's underlying need (for example: after hospital discharge, dementia support, overnight care, respite for a family carer, help with washing and dressing, companionship). For each group give: the number of items, three example phrases in the family's own words, and the question a family is really asking. Do not invent search volumes. Flag any group with fewer than three items as "thin data".

[PASTE TERMS AND ENQUIRIES]

A realistic output (illustrative) might show six groups, with "after hospital discharge" and "help for mum at home" the largest, "overnight care" small but with high-value hours, and "respite for family carers" thin. Check the groups against your records. If the AI invents a group your data does not support, delete it. If it merges two needs you serve differently, split them. This list becomes the spine of your website pages, your profile posts and your family emails.

Referral partners: the list that usually matters most

Referrals from professionals can be the steadiest source, because they come from someone the family already trusts; in the illustrative agency above they produced 9 of 14 new clients. Make a list of every type of partner across your service patch, and then a list of specific people and organisations you can name.

Be careful about what you offer in return. If any of your clients' care is paid for by a public health programme, rules on payments or gifts for referrals can apply, and professional bodies have their own rules for their members. Do not offer money, gifts or free services to a referrer without asking your lawyer. Useful, legal ways to earn referrals are speed, clear information and doing a good job. The tutorial on referral source follow-ups shows how to draft the follow-up messages with AI.

Family messaging: what adult children want to hear

Many enquiries come from an adult child, often worried and short of time, rather than from the person needing care. Your messages should answer their questions in their order: Is my parent safe? Who will come? Will it be the same person? What does it cost? What happens next? Ask AI to draft a short message for each of the six groups from the search list, in the voice you set. Here is a prompt for one.

Write a 120-word website intro and a 60-word Google Business Profile post for families searching for help after a hospital discharge. Audience: an adult child arranging care for a parent who is coming home in a few days. Tone: calm, practical, plain English, no jargon. Include: what the first visit looks like, how quickly we can start, that the same small team visits where possible, and a phone number placeholder [PHONE]. Do not promise outcomes or make medical claims. Do not mention prices. Do not use phrases like "peace of mind" or "tailored solutions".

The draft is usually a usable start, but check it for promises. "We can start within 24 hours" is only true if you can. "The same carer every time" is only true if you staff that way. Replace absolutes with what you can honestly deliver, such as "we aim to send the same small team, and tell you in advance if that changes". Have the care manager read anything about services, and keep health claims out: say what carers help with, not what care will achieve.

The one-page plan template

This is the structure to fill in. Keep it to one page so someone reads it each month.

HOME CARE MARKETING PLAN, [QUARTER]
1. Goal: [NUMBER] new clients starting by [DATE], staffed by [CARER NUMBER] carers
2. Numbers: client value $[X]; enquiry-to-start rate [X]%; first reply target [X] hours
3. Families we help most: [GROUP 1], [GROUP 2], [GROUP 3]
4. Local search actions: [PAGES TO WRITE], [PROFILE POSTS PER MONTH], [REVIEW ASKS PER MONTH]
5. Referral partners: [NAMED PEOPLE AND ORGANISATIONS], contact owner, next date
6. Family messages: [THREE MESSAGES, ONE PER GROUP]
7. Budget: $[X] per month, split [X]% referrals, [X]% search, [X]% other
8. Monthly check: enquiries, assessments, starts, cost per start, first-reply time
9. Stop or change rules: [WHAT WE DROP IF NOT WORKING AFTER N MONTHS]

Notice section 9. A plan without stop rules drifts. Decide in advance what result would make you drop a channel, for example "if the search test has produced no started clients after three months and $1,500 spent, stop and put the money into referral visits".

A worked plan for the 12-carer agency

Here is how the illustrative agency's plan might fill in, with an overall budget of $1,200 a month.

Do the sums to see whether the plan is realistic. If the plan produces six enquiries a month and three start, and an average client is worth about $21,000 in revenue, the budget is small against the return, even after a generous margin deduction. If it produces one start in three months, you have learned that something is wrong before spending more. Both outcomes are useful, because you have a number to act on.

A capacity note referral partners will actually use

Discharge planners and care managers phone several agencies in a morning. The agency that answers "can you start Thursday?" in one sentence gets the call. A weekly one-page note, emailed on the same day each week, makes that possible. Ask AI to format it from a few facts you supply: carers available this week, types of care you can take, areas covered, earliest start date and a duty phone number. Illustrative wording:

Capacity note, week of [DATE], from [AGENCY]
We can start new clients from: [DAY] for visits of 30 to 60 minutes; overnight care from [DAY]
We can take: personal care, meal support, medication prompting, companionship, respite for family carers
We cannot take this week: live-in care, two-carer visits (full until [DATE])
Areas covered: [LIST OF TOWNS OR POSTCODE AREAS]
Referral line (07:00 to 22:00): [PHONE]. We reply to written referrals within 2 hours in office hours.

The "cannot take" line is the one partners value most, because it saves them a call. Check the note against the rota before you send it each week, and never leave an old note in circulation after capacity changes. A stale note that promises a Thursday start you cannot staff damages trust faster than saying no.

An outline for a family page, with the data it uses

Take the largest group from the search list, "after hospital discharge". A page for it should answer the questions in the grouped data in the order families ask them. Ask the AI for an outline, then write or edit each part yourself with the care manager. An illustrative outline:

1. What happens in the first 48 hours: the assessment call, the first visit, who comes, how the family stays informed.
2. What carers can and cannot help with: a plain list, with a note that nursing tasks stay with the clinical team.
3. How long help is usually needed: say it varies, and describe how reviews work, without quoting a typical length unless you have your own data.
4. What it costs and how to pay: your rates if you publish them, or what affects the price.
5. Questions to ask any agency: a short list that includes your own answers, which builds trust.
6. How to start: phone, form and the reply promise.

Each heading should reuse the family's own words from the data, such as "help for mum at home". Avoid headings that sound like marketing. A page like this tends to be more useful than a general "our services" page, and it targets a real search need. If you build pages for several towns, avoid copying one page with the name swapped; the service-area pages tutorial explains how to keep them distinct.

Asking for reviews the allowed way

Reviews help families choose, and Google's guidelines prohibit offering payment, discounts or free goods or services in exchange for reviews. The same policy bars selectively asking only happy customers and discouraging negative reviews. So the plan needs a polite, regular ask, sent to every family, for an honest review with no reward. Choose a natural moment: after a family says thank you, or at a first review of care at about six weeks. A short message (illustrative) works well:

Hello [first name], it has been good to look after [client's first name] over the past six weeks. Would you be willing to leave an honest Google review of our care? It helps other families decide. Here is the link: [LINK]. Whatever you write, if anything has not been right I would also like to hear it directly on [PHONE], so I can put it right. [your name]

Notice what the message does not say. An earlier draft opened with "If you are happy with the care", which reads as asking only satisfied families and steering the rest to a private channel, the pattern Google's policy prohibits. The version above asks everyone for an honest review and offers the phone line as well as the review, not instead of it. Ask no more than once. Reply to every review, positive or negative, in your own words and without client details. Even a thank-you that mentions a client's condition can reveal private information, so reply in general terms ("Thank you, we are glad the family felt supported") and take specifics offline. Set up a notification for new reviews so you can reply within a day or two.

Cost per started client: the number that settles arguments

A single figure helps decide where money goes. Divide what you spent on a channel in a period by the clients it produced who actually started care. Illustrative arithmetic: over three months you spend $1,500 on a search test and it generates 24 enquiries, 8 assessments and 3 starts. Cost per enquiry is $62.50, per assessment $187.50 and per start $500. Referral visits cost $300 a month, so $900 over the quarter, and produce 5 starts, which is $180 each. With a client worth roughly $21,000 in revenue, both channels pay back, but referrals do it at a lower cost, and the search test suggests where the enquiry-to-start rate can improve. If the three search starts each stayed only six weeks, the sum changes, so use real retention from your own records.

Keep the source field on every enquiry. The most common reason these numbers do not exist is that the office never asked "How did you hear about us?". Add it to the enquiry form and the first call script today, and make "Other" require a few words so the data stays usable.

Seasons and moments when families look for care

Search interest and referrals are not flat. Check your own history and Google Trends for peaks, and plan messages around them. Families sometimes notice changes in an older relative when they visit over a holiday, and a hospital stay often prompts a search, but do not assume either pattern holds for you; look at your last two years of enquiry dates by month and mark the peaks. Then schedule your profile posts, partner visits and any paid test a few weeks ahead of the peak. Ask AI to draft a twelve-month calendar from your peaks, and edit out anything it adds without a reason in your data.

Reality-checking the AI draft

AI plans fail in predictable ways. Run through these checks before you adopt the draft.

• Invented statistics. Delete any "studies show" claim and any ageing-population figure it quotes unless you can open the source. Use your official statistics office for age data and note the date.
• Channels you do not need. It may suggest TikTok, podcasts and webinars. If your referrals and search are not working, extra channels are a distraction.
• Capacity ignored. A plan promising twenty enquiries a month is useless if you can staff six clients.
• Prohibited tactics. Review incentives are against Google's guidelines, and paid referrals carry legal risk. Remove them.
• Health claims. "Reduce hospital readmissions" is a claim you cannot prove. Describe the help, not the outcome.
• Wrong place. AI often borrows examples from larger markets. Check every local reference, such as partner types, against where you operate.

Then compare the plan to last year's sources. If 9 of 14 clients came from referrals and the AI draft gives referrals 10% of the budget, ask why before agreeing.

Running it month by month

Fifteen minutes on the first Monday of each month keeps the plan alive. Open a simple sheet with columns for enquiries, source, assessments, starts, cost and first-reply time. Add last month's numbers, then paste a summary (no client details) into the AI with the question "What do these numbers suggest I change, and what should I not change yet?" Treat the answer as a starting point for discussion. A month of data is noisy, so avoid changing budgets on one bad week.

Every quarter, redo the data pull, update the partner list (who responded, who didn't) and rewrite the plan. The caregiver recruiting tutorial addresses the other side of growth, because demand without carers is a problem.

Where the plan meets the first phone call

All of this fails if the first conversation goes badly. When a referral or an enquiry arrives, someone must reply fast and well, and the answer must match what the marketing promised. Write a short script for the first call, ask the AI to turn your decisions into a checklist (who is it for, what help is needed, when, who decides, what is the next step), and test it on a colleague. If you want the enquiry-reply side built out, the tutorial on non-medical home care leads covers that routine, and the older guide to optimising your Google Business Profile with AI is a good companion for the search side.

Questions owners ask about a marketing plan

How much should a home care agency spend on marketing?

There is no reliable benchmark I can verify, so set it from your own numbers: the lifetime revenue and margin of an average client, how many clients you want to add, and your current enquiry-to-start rate. Start with a small monthly test budget, track cost per started client, and raise spend only on channels that earn it back.

Can AI find my local keywords?

It can suggest phrases, but suggestions are not data. Use your Google Business Profile search terms, Search Console queries and Google's keyword tools for what people actually type, then ask AI to group them, spot gaps and draft pages. Treat any search-volume number it quotes as unverified.

Is it safe to pay referral sources for clients?

Not without legal advice. If any client is paid for by a public health programme, rules on payments for referrals can apply, and even private-pay arrangements can raise professional or contractual issues. Build the plan on relationships, useful information and responsiveness, and ask a lawyer before offering anything of value to a referrer.

Can I offer clients a discount for reviews?

No. Google's guidelines list offering incentives such as payment, discounts or free goods or services in exchange for reviews as prohibited, and they also bar asking only happy customers. Ask every client or family member politely for an honest review at a natural moment, make it easy, and reply to every review without pushing for good ones.

How often should I update the plan?

Review the numbers monthly and rewrite the plan quarterly. A monthly check of enquiries, assessments booked and clients started tells you whether a channel works. A quarterly rewrite updates the partner list, the seasonal messages and the budget split.

Further reads

• AI Answering Service for Home Care Agencies: After-Hours Call-Outs — Never lose a referral call after hours.
• AI for Home Health Agencies: Faster Replies to Hospital Referrals — Handle hospital referrals fast once partners start sending them.
• AI SEO for Chiropractors: Local Pages and Showing Up in AI Answers — Local pages and reviews in another care profession.
• AI Marketing for Medical Practices Without Making Health Claims — Marketing health services without making health claims.
• Home Care Agency AI: A 90-Day Plan for the Owner — Where marketing sits in a wider 90-day AI plan.
• Can AI Write Care Plans? What a Home Care Provider Must Check First — Provider-level checks before AI drafts a home care plan: accuracy, consent, de-identification, manager sign-off and an audit trail.
• AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.

Sources: Google Business Profile Help page on performance data; Google Maps user-contributed content policy on incentives and review requests; Google Ads Keyword Planner help; Search Console Performance report help (all checked 4 November 2026); no pricing or statistics from third parties are used. Revenue and conversion figures are illustrative.