Lead Reactivation Campaign Example: 673 Appointments, Stage by Stage

This lead reactivation campaign example is Cloudy2Clear, a UK misted double glazing repair franchise. We took 6,769 old enquiries their team had written off: 4,321 replied, 673 booked appointments, and the campaign generated £639,350 in pipeline with £107,000+ closed. Below is exactly what happened at each of the six stages.

Most write-ups stop at those numbers. This one goes the other way. Here is the machinery inside a lead reactivation campaign, stage by stage, using Cloudy2Clear as the worked example throughout. If you are evaluating database reactivation for your own business, this is what you are buying. The full results are in our Cloudy2Clear case study.

Stage 1: The data audit and clean

Every campaign starts with a CRM export. It is always messier than the client expects, and that is fine, because cleaning it is our job.

The audit covers four things. Duplicates get merged so nobody receives two competing messages. Invalid and landline numbers get stripped out, since the campaign runs on SMS. Existing customers and open opportunities get excluded so the AI never texts someone your team is actively working. Finally, every record is checked for a lawful basis to contact under UK rules, and anyone who previously opted out is removed permanently.

Shrinking the list at this stage protects reply rates and protects your brand. What was left for Cloudy2Clear was 6,769 enquiries that were contactable, cold and safe to message.

The client's total effort so far: exporting a spreadsheet.

Stage 2: Segmentation that decides what gets said

Treating thousands of old leads as one audience is the fastest way to sound like spam. Dead leads die for different reasons, and the reason dictates the message.

The two segments that matter most in home improvement and automotive are these.

No-answer leads. They enquired, then nobody reached them. Two missed calls, no reply to one email, marked dead. These leads never actually said no. The right message picks the conversation up lightly, because 63% of enquirers take three months or longer to buy and most of these people were simply early.

Quoted-not-proceeded leads. They got a price and went quiet. Something specific stalled them: budget, timing, a partner to convince, a competitor quote. The right message acknowledges the quote and reopens the decision without pressure. Our guide on how to follow up on a quote shows the message style.

Further slices refine timing and wording: how old the lead is, which product they asked about, which branch or territory they belong to. Cloudy2Clear's enquiries were segmented this way so a lead who asked about misted double glazing eight months ago received a different opener from one quoted three weeks ago.

For the wider strategy behind this, see our database reactivation guide.

Stage 3: Message design

The opening message carries the whole campaign. It has to feel like a person from the company picking the thread back up, reference the lead's actual enquiry, and invite a reply rather than push a sale.

Openers are written per segment in the client's voice, reviewed and signed off by the client before anything sends. Every message includes a clear opt-out, and sends are scheduled within polite hours.

The proof this approach works sits in one number. Across Cloudy2Clear's 6,769 old enquiries, 4,321 people replied, a 64% reply rate. These were people who had ignored calls and emails for months. A well-aimed, personal-feeling SMS reopened nearly two thirds of them.

Stage 4: The AI conversation

This is the stage that separates modern reactivation from an SMS blast. A blast sends one message and hopes. A reactivation campaign holds a conversation, and the conversation is where appointments come from.

When a lead replies, the AI responds within seconds, at any hour, in the client's tone. Setterly's AI has now held over 260,000 of these SMS conversations and booked over 3,000 appointments off the back of them, so it has seen essentially every way a consumer can respond. You can see how the conversations run on our how it works page.

Qualifying

The AI asks natural questions to establish whether the interest is real: is the problem still there, what is the rough timescale, are they the decision maker. A homeowner who replies "we ended up moving house" is politely closed out. A homeowner who replies "still needs doing, we just got busy" moves forward.

Handling objections

Cold leads push back, and the AI is built for it. "How much will it cost?" gets an honest range and a reason a survey pins the number down. "I got another quote" opens a conversation about what mattered in that quote. "Bad time" triggers a scheduled follow-up weeks later rather than a lost lead. The AI never argues and never pressures. It answers, reassures, and keeps the door open.

Booking

The moment a lead is qualified and willing, the AI offers appointment slots that sync with the client's real calendar, confirms the booking, and sends reminders to cut no-shows. There is no handoff gap where a warm lead waits two days for a callback and cools off again. This end-to-end booking capability is covered in depth in our AI appointment setting guide.

For Cloudy2Clear, this stage turned 4,321 replies into 673 booked appointments.

Stage 5: Handoff to your sales team

An appointment lands in your calendar looking like any other booking, with one difference: it arrives with context. Your surveyor or salesperson sees the original enquiry, the conversation summary, the lead's timescale, and any objections raised.

That context changes the appointment itself. Your team walks in knowing, for example, that the customer was quoted £2,400 in March and hesitated on price, so the conversation starts from understanding instead of from scratch.

Your team's process stays untouched. They attend appointments and close, which is the job they wanted all along. The follow-up grind that causes contractors to lose 30 to 50% of their leads is handled entirely by the AI in the background.

Stage 6: Weekly reporting and ROI reviews

Reactivation campaigns are judged in pounds, so reporting is blunt. Each week the client sees messages sent, reply rate, conversations in progress, appointments booked, and appointments attended. Alongside that sits the arithmetic: appointments times close rate times average order value, against cost.

The weekly review also tunes the campaign. If quoted-not-proceeded leads book at a higher rate than no-answer leads, sending shifts towards the stronger segment. If a particular opener underperforms, it gets rewritten. Campaigns improve month on month because the data says exactly where to push.

This measurement discipline matters more than most buyers realise. A reactivation campaign can never fail the "what did it return?" test, because its entire output is a countable number of appointments and the revenue behind them.

For Cloudy2Clear, the reviews tracked pipeline climbing to £639,350, with £107,000+ closed so far.

The whole anatomy at a glance

Six stages, one thread: audit the data, segment by why the lead went cold, open with a message that feels human, let the AI hold the conversation through qualification and objections to a booking, hand your team a warm appointment with full context, then measure everything weekly in revenue.

Cloudy2Clear's version of that thread: 6,769 old enquiries in, 4,321 replies, 673 appointments, £639,350 in pipeline. The same machinery worked for CarFinance247, a UK car finance broker, where the AI booked 114 appointments over Christmas from 3,895 leads a 200-strong sales team had already worked for two weeks. Glazing businesses can see how this applies to them on our windows and doors page, and every campaign is on our results page.

Your CRM contains a version of this campaign waiting to run. The leads are paid for, the machinery exists, and the pricing means you only pay for booked, qualified appointments.