Use a fixed sequence: a check-in two days after sending, a useful nudge at day seven, a direct question at day fourteen and a polite close-out around day thirty. Let AI draft each message from your quote notes so it mentions the customer's actual rooms, price and timing, and stop the sequence the moment they reply.
Silence nearly always has a reason, and your notes from the visit usually tell you which one: the price was more than expected, the timing is wrong, they're waiting for two other quotes, a partner hasn't seen it, or they simply forgot. Sending "just following up" four times ignores all of that. Matching each message to the likely reason is what makes the sequence work, and it's exactly the kind of tailoring AI does quickly.
Why decorating quotes go quiet
| Likely reason | What your notes might say | What the next message should do |
|---|---|---|
| Price higher than expected | Asked "roughly how much?" before the visit; winced at the range | Offer a phased option or a different specification |
| Timing | "Not before the new year" or "we're away in October" | Offer specific start dates that fit |
| Comparing quotes | "We're getting a couple of others" | Make comparison easy: what's included, what isn't |
| Someone else decides | "I'll run it past my partner" | Give a short summary they can forward |
| Worried about disruption | Mentioned dogs, working from home, a new baby | Explain how you handle it: dust sheets, room order, hours |
| Forgot | Nothing specific | A short, friendly reminder with the price and one question |
The four-touch sequence at a glance
| Day after sending | Channel | Purpose |
|---|---|---|
| 2 | Same as the quote (usually text) | Confirm it arrived; invite questions |
| 7 | Text or email | Send something useful tied to their likely reason |
| 14 | Text | Ask directly, with easy numbered replies |
| 30 | Email or text | Close the quote politely and leave the door open |
Four messages in a month is enough. Fewer and you leave jobs on the table; more and a decorator starts to feel like a double-glazing salesman.
Play 1, day two: confirm it arrived
Quotes go to spam folders, get buried under school emails, or arrive while someone's driving. The first message is short and assumes nothing:
Hi [name], just checking the quote for your hall, stairs and landing came through OK. It's $1,950 to $2,300 depending on the paper on the stair wall, as we discussed. Any questions, just reply here.
Two details do the work: the rooms and the price, so the customer doesn't have to dig out the email to remember which decorator you are. If they asked something on the visit, answer it here.
Play 2, day seven: send something useful, not a nag
This is the message that most often turns a quote into a job, because it gives the customer a reason to reply that isn't "yes" or "no". Pick the angle from the table above. Illustrative versions for three different reasons:
- Timing: "We've had a gap open up from 12 October. The stairwell is a four-day job, so it would be finished well before the half-term week you mentioned. Want me to hold it for a couple of days?"
- Price: "If the full job is more than you'd planned for this year, we could do the hall and stairs now ($1,400 to $1,700) and the landing later. Happy to split the quote if that helps."
- Disruption: "You mentioned the dogs. We'd do the stairs first, keep one route through the house clear, and keep the front door shut. Nothing's left open when we leave each day."
Every one of these came from a line in the visit notes. That's why the notes matter more than the prompt.
Play 3, day fourteen: ask the question directly
By now a reply is unlikely without a prompt that makes answering easy. Numbered options take the awkwardness out of saying no:
Hi [name], I don't want to keep messaging if the timing's wrong. Could you reply with a number?
1. Still interested, just busy
2. The price is more than expected
3. You've gone with someone else (no problem at all)
4. You'd rather do it later in the year
Each answer has a next step. A "2" gets the phased or alternative-specification option. A "4" gets a note in the sheet and a message in the month they named. A "3" gets a thank-you and nothing else, although it's worth asking, once and lightly, whether price or timing decided it. That answer is gold for your next quote.
Play 4, day thirty: the close-out
Hi [name], I'll close your quote for now so I'm not filling up your phone. If you'd like to go ahead later, reply to this and I'll check the price still stands and send new dates. Thanks for asking us round.
Closing the loop politely often gets a reply when nothing else has, because it removes the pressure and the customer knows it's the last message. It also keeps your pipeline honest: a quote with no reply after thirty days is recorded as lost, not left hanging as a maybe.
When the reply is "that's more than we expected"
A "2" to the day-fourteen question, or an unprompted "bit steep", is a reply, which puts you in a better position than silence. The wrong answer is an instant discount. The right one offers a real choice that changes the work, not your rate. Give the AI your options and let it draft:
The customer says the price is more than expected. Draft a reply
under 80 words. Offer, in this order: doing it in two phases (give
the split from the quote), a simpler finish on the woodwork, or a
start date in our quieter months if we have one. No discount.
Keep it warm; thank them for being straight with us.An illustrative draft: "Thanks for being straight with me. A few ways to bring it down: we could do the hall and stairs now ($1,400 to $1,700) and the landing in the spring; or keep the walls as quoted and simplify the woodwork to one coat of satin over a sound finish, which saves about $180. We also have more flexibility on price for starts in January. Happy to rework the quote whichever way suits." Check the figures against the original quote before sending. The AI took the $180 from your notes, but make sure it didn't invent it.
Landlord and commercial quotes need a different rhythm
The four-touch sequence suits homeowners. Two other kinds of customer decide differently, and the messages should follow suit.
Landlords and letting agents usually decide around a tenancy: the work happens in the gap between tenants, or not at all. Ask for the move-out date when you quote and time the follow-ups to it, not to the date you sent the quote. An illustrative message three weeks before a move-out: "The flat's due to be empty from the 28th. We can hold the 29th to the 2nd for the repaint so it's ready for viewings. Shall I pencil it in?"
Small commercial customers, such as a café or an office, often need a second person's sign-off or a purchase order. Silence there is usually process, not rejection. The day-seven message should make approval easy: "If it helps, I can send the quote as a one-page summary for whoever signs it off, and we can work evenings or a weekend so you don't close." Stretch the sequence to six weeks for these, with the same close-out at the end.
Feeding the AI your quote notes
AI drafts good follow-ups only from specific notes. Two minutes after each visit, record these fields, by voice if that's quicker:
- Rooms and scope in plain words
- Price or range sent, and the date
- Their timing, in their words
- Any worry they raised (mess, pets, working from home, price)
- Who decides, and whether they're comparing quotes
- How they found you
Then use one prompt for every draft:
Draft the day-[7] follow-up for this quote using my playbook rules.
Rules: under 60 words; friendly, plain, no exclamation marks;
mention the rooms and the price range; choose the angle from the
notes (timing, price, disruption, comparison, decider).
Never invent names, dates, discounts or details not in the notes.
If the notes don't suggest an angle, write a short reminder instead.
Notes: hall, stairs and landing; $1,950-$2,300; sent 3 Oct; wants it
finished before Christmas; worried about mess with two dogs; partner
decides with her; found us through a neighbour's recommendation.An illustrative draft:
Hi [name], following up on the hall, stairs and landing ($1,950 to $2,300). We can start mid-November and be finished well before Christmas. With the dogs in mind, we'd keep one route clear and sheet everything. Happy to send a short summary you can show your partner. And we can take 10% off if you book this week.
Everything's right except the last sentence, which the AI invented despite the rule. Delete it, and keep the "never invent discounts" rule anyway, because it cuts how often this happens even if it doesn't stop it. This is also why a person should read each message before it goes, at least for the first few months. A simple way to build that habit is in setting up an approval step for AI-written quotes.
Running it with a spreadsheet or inside your job software
The low-tech version works well for up to about twenty quotes a month. Keep one sheet with these columns: quote number, customer, rooms, value, date sent, next touch date, last touch, status (open, won, lost, later), reason code (price, timing, elsewhere, no reply) and notes. Each morning, filter to today's touches, paste those rows into a chat with the playbook rules, and ask for the drafts. Ten minutes, then send them yourself.
If you already use Jobber, its quote follow-ups are switched on under Settings, then Emails and Text Messages, with a schedule based on the number of days since the quote was sent; a quote sent by text gets its follow-up by text. Jobber's custom automation builder can trigger on a number of days after a quote is sent, up to 90 days. That handles the timing; you still need the notes and the AI to make each message specific. Other field-service tools have similar settings, compared in the Jobber, Housecall Pro and ServiceTitan AI comparison.
For the cost of automating further, what it costs to automate lead follow-up sets out the options, and automating sales follow-ups without being pushy covers the same principles for other businesses.
One month of quotes, played out
Here's how the playbook might run for an illustrative two-person decorating business that sends 18 quotes in a month. Before, it sent one "just checking in" text around day five and then waited; in a typical month that won about 5 of 18.
- Day 2, 18 check-ins: 6 replies. 3 book straight away, 2 ask questions (answered, and they rejoin the sequence at play 2), 1 has already chosen someone else.
- Day 7, 14 useful nudges: 3 replies. 2 book; 1 takes the phased option for the hall and stairs.
- Day 14, 11 direct questions: 5 replies. One "2" takes a simpler specification and books; one "4" books for March; three have gone elsewhere, two of them on price.
- Day 30, 6 close-outs: 2 replies. One wants the job done in spring; one went elsewhere.
That's 8 jobs won instead of 5, one spring job in the diary, 5 known losses with reasons and 4 who never replied. The time cost was about ten minutes a day. The reasons are worth as much as the wins: two losses on price in one month is a prompt to check whether the range you quote for stairwells is out of line, which quoting from photos with AI helps you test against finished jobs.
The booking confirmation that stops cold feet
A "yes" isn't the end of follow-up. Between acceptance and start date, customers get cold feet, rebook with someone who can start sooner, or forget to move the furniture. A clear confirmation straight after the yes reduces all three. AI drafts it from the quote and your standard instructions:
Great, you're booked in: hall, stairs and landing, starting Monday 12 October, about four days. Before we arrive, please clear small items from the hall and take pictures off the stair walls; we'll move and cover anything bigger. We'll confirm the paper on the stair wall on day one and tell you straight away if it needs stripping, as quoted. Any questions before then, just reply here.
Send a short reminder two days before the start as well. It's the last chance to find out that the customer's plans have changed, before a van and two decorators arrive at a locked door.
Checking the playbook is working
Track four numbers from the quote sheet each month: quotes sent, quotes won, average days from quote to decision, and which play produced each win. An illustrative three months:
| Month | Sent | Won | Win rate | Days to decision | Most wins from |
|---|---|---|---|---|---|
| Before playbook | 18 | 5 | 28% | Not tracked | First reply |
| Month 1 | 18 | 8 | 44% | 11 | Play 1 and play 2 |
| Month 2 | 21 | 9 | 43% | 9 | Play 2 |
A quick sum shows whether the ten minutes a day is worth it. If the average job is about $1,800, three extra wins a month is $5,400 of extra work for about three and a half hours of follow-up time. If the win rate doesn't move after two months, the problem is probably earlier, in the price or in how quickly the quote went out, not in the follow-up.
Messages that lose the job
The guilt trip. Before: "Hi, following up AGAIN on the quote. Are you still interested?? Prices go up next month." After: the day-fourteen numbered question. If prices really are rising, say when and by how much, once.
The essay. Before: 150 words on your company history, insurance and paint brands. After: two sentences with the rooms, the price and one question. Put the long version in the quote, not the follow-up.
The automatic discount. Offering money off in every second message teaches customers to wait for it, and it lands badly with the ones who were going to book anyway. Keep discounts out of the sequence; use phasing or a simpler specification when price is the problem.
The wrong channel. A customer who sent their enquiry by text and got their quote by text probably won't read a follow-up email. Follow up the way they talk to you.
Further reads
- Signs Your Business Is Ready to Automate Sales Follow-Ups With AI — Signs you're sending enough quotes to justify automating the sequence.
- Replying to Trade Enquiries in 60 Seconds With AI — Win more before the quote stage by replying to enquiries fast.
- Getting More Reviews After Every Job With AI Follow-Ups — The next message to automate once the job is finished: the review request.
- Can AI Give Customers a Ballpark Price for Decorating Work? — Give a rough price early so fewer quotes shock customers into silence.
- How to Plan and Announce a Price Increase With AI's Help — If your lost-on-price reasons point to a rate change, how to announce it.
- Instant Roof Estimates on Your Website: Do They Win More Jobs? — Another trade's take on turning price-seekers into booked jobs.
- AI Quoting Tools for Plumbers: What They Cost and What They Do — Prices and real AI features of the quoting tools plumbers use, what they still can't do, and a side-by-side cost for a two-van firm.
- AI Garden Design Visuals in Quotes: Do They Help Close Jobs? — When an AI-edited photo of the client's own garden helps a landscaping quote get signed, when it backfires, and a fair way to test it.
- Following Up Unapproved Repair Estimates With AI — A step-by-step way for repair trades to chase open estimates with AI-drafted messages that explain the fault honestly and allow partial approval.
- How Removal Firms Turn Customer Videos Into Quotes With AI — A seven-step workflow for removal firms: from the customer's phone video to an inventory, a checked volume and a priced quote with clear assumptions.
- Can a Plumber Use AI to Write Quotes? — Turn survey notes and your price list into a clear plumbing quote in minutes, with the exclusions that prevent arguments and the checks AI still needs.
- Seven AI Mistakes That Cost Tradespeople Jobs — The seven ways AI quietly loses jobs for plumbers, electricians, roofers and decorators, how each one shows up, and the fix for each.
- AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.
Sources: Jobber help pages on quote follow-ups, email and text settings, and the custom automation builder. Checked September 2026.