Heating case study · Fischer Future Heat

    105 home surveys and £630,000 in pipeline in 30 days. From leads the sales team had already worked for a week.

    Fischer Future Heat, a UK electric heating company, hands Setterly every enquiry still unbooked at day 7. Around 2,000 leads a week. We went live on 15 September 2026.

    105
    qualified home surveys in 30 days
    £630,000
    pipeline in 30 days
    19
    home surveys booked on day one
    50
    appointments in week one
    ~£300,000
    pipeline in week one
    ~2,000
    day-7 leads a week
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    At a glance

    Client
    Fischer Future Heat, a UK electric heating company
    Sector
    Electric heating, sold to homeowners
    Problem
    Enquiries still unbooked after a week of follow-up from Fischer's own team, around 2,000 leads a week
    What we did
    AI SMS follow-up from “Claire from Fischer” on every day-7 lead: three short qualifying questions, then a booked home survey
    Result
    19 surveys on day one, 50 appointments in week one, 105 qualified home surveys and £630,000 pipeline in 30 days
    Timeframe
    First 30 days, live from 15 September 2026
    Pricing basis
    Paid per booked home survey
    Four hours after launch

    “Are all of these appointments real?”

    Tom Nurse, Head of Marketing at Fischer Future Heat, asked us that four hours after the system went live. By the end of day one, 19 home surveys were booked.

    “Are all of these appointments real?”
    Tom Nurse · Head of Marketing, Fischer Future Heat
    Before Setterly

    Fischer's own team works every enquiry first.

    Fischer Future Heat generates a high volume of enquiries, and its own team works each one first. Some book quickly. Others go quiet.

    So we agreed a simple rule: any lead still unbooked at day 7 is handed to Setterly. That is around 2,000 leads a week, from people who had already asked about improving their heating.

    What we did

    Claire from Fischer. Three questions. Then a booked survey.

    Built an AI agent that texts as “Claire from Fischer”, so every conversation feels like it comes from the brand the customer enquired with.
    Kept qualification to three short questions: is this the right person, are they the homeowner, and are they still looking to improve their heating.
    Booked qualified customers straight into a calendar Fischer's appointments team manages.
    Picked up only the day-7 leads, so the AI never gets in the way of Fischer's own sales process.
    Fischer pays per booked home survey.
    The results

    105 qualified home surveys in the first 30 days.

    £630,000
    pipeline in the first 30 days
    19
    surveys booked on day one
    50
    appointments in week one
    ~£300,000
    pipeline in week one
    105
    qualified home surveys in 30 days

    Pipeline = appointments booked x the client's average order value. Fischer's average order value is about £6,000, so 105 surveys x about £6,000 = £630,000.

    If your team stops chasing after a week, there is still money in those leads.

    Fischer's team was already working every enquiry. The leads left over at day 7 still produced 105 qualified home surveys in a month. If no surveys are booked, you pay nothing.

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