RESEARCH · MAP
Where revenue goes missing.
Sixty-four problems, grouped by the six ways an Expanza system grows revenue, written for any business, each with its cause, what we’d do and, where it exists, the research. We built it by mapping about ninety problems inside one kind of business before speaking to anyone in it.
We mapped about 90 problems inside one kind of business, an independent UK hotel with weddings and events, before speaking to anyone in it. Most turned out not to be about hotels at all. They’re about how any business loses value, time and capability. These are the ones we can do something about; the rest we refer on. Open any problem to see why it happens, what we’d do, and how it looks in a hotel.
Every row is a hypothesis until a business confirms it in its own words.
AcquireFind and win the right new customers
Know who to approach and when, research them properly, write to them well, and follow up.
Our working view, being testedQuiet periods stay quietThe busy months sell themselves. The rest are left to chance.
Why it happens. Demand for quiet dates has to be found, and nobody has the list of who might want them.
What the system does. The customers most likely to book quiet dates, found in your own history.
In a hotel or venue. Midweek and winter dates sit empty while Saturdays in June go three times over.
Our working view, being testedNobody treats reviews as part of sellingGood reviews go unanswered; problems are heard about after the guest has gone.
Why it happens. Nobody owns reviews, and there’s no time to reply well.
What the system does. Replies drafted in your own voice, and a same-day flag when something goes wrong during a stay.
In a hotel or venue. A three-star review about the breakfast, answered two weeks later, or never.
Some outside evidenceYou’re not on the shortlist when customers start lookingPeople pick a handful of options before they get in touch. Nobody knows they were left off.
Why it happens. The places people look (search, marketplaces, recommendations) aren’t watched, so nobody sees the gap.
What the system does. A regular check of where your customers look and whether you appear, with the gaps ranked by what they’re worth.
In a hotel or venue. A couple has chosen three venues before sending a single email.
Our working view, being testedAI search doesn’t mention youSomeone asks ChatGPT for a recommendation and your business isn’t in the answer.
Why it happens. AI assistants rely on what other sites say about you, and nobody is tracking it.
What the system does. The same questions asked every month across the main assistants, what they say, and what to change. Fixes to the site go to a web specialist.
In a hotel or venue. Asked for a Lakes wedding venue, the assistant names two chains and a booking site.
Some outside evidenceNobody knows which marketing brings customers who buyMoney goes on listings, adverts and fairs. Which ones pay for themselves is a guess.
Why it happens. Where each enquiry came from is rarely recorded, and never joined to what it was worth.
What the system does. Every enquiry traced to its source and joined to what it became, so each channel shows its cost per booking.
In a hotel or venue. Bridebook, Instagram or the wedding fair: which one actually fills Saturdays?
Our working view, being testedThe people who recommend you aren’t looked afterPartners who send you customers are never thanked, tracked or asked for more.
Why it happens. Referrals arrive informally, so nobody sees who sends the most.
What the system does. Referral sources recorded, the best ones shown, and a simple routine for keeping in touch with them.
In a hotel or venue. The photographer who sent five couples last year has never heard from you.
Our working view, being testedNobody knows who to go afterThere’s no list of the organisations most likely to buy, so outreach doesn’t happen.
Why it happens. Building the list takes research nobody has time for.
What the system does. A list of the organisations that look like your best past customers, with the reason each is on it.
In a hotel or venue. Which local firms hold Christmas parties, conferences or away days? Nobody has the list.
Some outside evidenceNobody knows when a prospect is readyThe moment an organisation needs you passes before anyone notices.
Why it happens. The signals (a new office, a big hire, a new event manager) are public but scattered.
What the system does. Changes that suggest a prospect may need you now, checked and dated, on a weekly list.
In a hotel or venue. A firm has just opened an office ten miles away and hired forty people.
Some outside evidenceResearching each prospect takes too long, so it doesn’t happenFinding the right person and a reason to write takes an hour a name.
Why it happens. The information is spread across websites, LinkedIn and news.
What the system does. A short, checked brief on each prospect: who to write to, what’s changed, and one honest reason to get in touch.
In a hotel or venue. Finding who books the Christmas party at each local firm.
Our own dataOutreach is generic, and gets ignoredThe same email to everyone, and almost nobody replies.
Why it happens. Writing something specific to each person takes time, so the template wins.
What the system does. Drafts written for each person from the research, with one real question. A person reads and approves every one before it’s sent.
In a hotel or venue. “We are a beautiful venue…” sent to two hundred firms.
Fact In our own April 2026 outreach, 47 generic first emails got one reply. Expanza’s own outreach records, March to June 2026
Our own dataNobody follows upOne email, then nothing, even when the first one was good.
Why it happens. Follow-up is nobody’s job and falls off every busy week.
What the system does. A follow-up plan for each prospect, drafted and scheduled, with a person approving each message.
In a hotel or venue. A promising reply from an events manager, never answered because the season started.
Fact In our own outreach, 86 of 161 prospects only ever received one message. Expanza’s own outreach records, March to June 2026
Our own dataNobody can tell what the outreach achievedMessages went out. Did any become business?
Why it happens. Outcomes aren’t recorded against the messages that started them.
What the system does. Every approach tracked from first message to booking, so you can see what works and stop what doesn’t.
In a hotel or venue. A season of emails to local firms, and no way to say if any booked.
Our working view, being testedGroups and trade bookings aren’t pursuedTours, clubs, planners and agents are left to find you.
Why it happens. They need a different kind of approach, and nobody owns it.
What the system does. A list of the groups and trade partners that fit, and a simple routine for approaching and keeping them.
In a hotel or venue. Coach tours, golf societies and wedding planners who could fill quiet weeks.
ConvertTurn enquiries into bookings
Reply fast, with the right facts, a clear next step and a fair price.
Strong outside evidenceGood enquiries go cold before anyone repliesReplies go out in the order things arrive, and the ones that come in at night wait until morning.
Why it happens. Nothing tells the team which messages matter most, so everything waits its turn.
What the system does. Every enquiry answered quickly and honestly, and the ones worth a call first put in front of the right person.
In a hotel or venue. A couple emails four venues on a Friday night. The first proper reply gets the show-round.
Fact Companies that replied to a web enquiry within an hour were nearly 7 times as likely to reach the decision-maker as those that waited even one hour longer. 23% never replied at all. Harvard Business Review, 2011 (2,241 US companies)
Our working view, being testedNobody knows which opportunities to work firstA likely customer and a tyre-kicker get the same treatment.
Why it happens. What predicts a sale is buried in old records nobody has time to study.
What the system does. Evidence from your own history about what tends to turn into business, tested against the simple rule you use now.
In a hotel or venue. A 120-guest Saturday wedding and “how much for a party?” wait in the same inbox.
Our working view, being testedPrices are set on gut feelPrices change when someone feels they should.
Why it happens. What people paid, and what they walked away from, sits in different systems.
What the system does. Price evidence by date, product and customer type, from your own records.
In a hotel or venue. A Tuesday in January is priced like a Saturday in June.
Some outside evidenceThe same questions are answered all dayPrices, dates, availability, directions. Fifty times a week.
Why it happens. The answers exist, but in people’s heads and old emails.
What the system does. Draft replies from your own facts and wording. A person checks and sends.
In a hotel or venue. Price, capacity, rooms and parking, before anyone has asked about the day itself.
Our working view, being testedDocuments start from a blank pageProposals, quotes and summaries written fresh every time.
Why it happens. Most of the content already exists, but nobody has time to assemble it.
What the system does. First drafts assembled from the record and your own templates, for a person to edit.
In a hotel or venue. Every wedding proposal is written from scratch by the one person who knows the packages.
Our working view, being testedCalls are missed and never returnedThe phone rings at the busiest moment, and the caller leaves no message.
Why it happens. Nobody sees a list of who called and wasn’t answered.
What the system does. Missed calls on the day’s list, with who they were if you’ve heard from them before.
In a hotel or venue. The coordinator is on a show-round when the phone goes.
Our working view, being testedInterest doesn’t turn into a visitPeople ask, get a brochure, and never come to see the place.
Why it happens. The next step is left to the customer, and nobody follows it up.
What the system does. A clear next step in every reply, and a gentle nudge when a visit hasn’t been booked.
In a hotel or venue. A couple asks for prices, gets the PDF, and never books a show-round.
Our working view, being testedWhen you’re full, the business walks awayTurned-away enquiries go to a competitor. Nobody offers them another date or a sister site.
Why it happens. Nobody records who was turned away, so nobody offers them anything else.
What the system does. Every turned-away enquiry offered the next best option, and counted.
In a hotel or venue. June Saturdays are fully booked; the couples who wanted one are simply told no.
Our working view, being testedOnline bookings are abandoned halfwaySomeone gets to the payment page and leaves.
Why it happens. Nobody sees the half-finished bookings, so nobody follows them up.
What the system does. Abandoned bookings noticed, and a helpful message drafted where you’re allowed to send one.
In a hotel or venue. A room booking abandoned at the payment step on a Sunday evening.
Our working view, being testedGroup and event enquiries get lost in the general inboxBigger, more valuable enquiries wait behind routine ones.
Why it happens. The inbox treats every message the same.
What the system does. Group and event enquiries recognised as they arrive and sent straight to the person who handles them.
In a hotel or venue. A coach-tour enquiry sits in reception’s inbox for a week.
RecoverRescue what’s slipping away
Quotes nobody chased, deals gone quiet, and lost business nobody asked about.
Our working view, being testedFollow-up stops after one or two triesA quote goes out, there’s no answer, and nobody chases twice.
Why it happens. Chasing is nobody’s job, and it’s the first thing to go on a busy day.
What the system does. A follow-up routine that runs itself, with a person deciding what gets sent.
In a hotel or venue. The brochure goes out on Monday. Nobody hears back, and nobody asks.
Our working view, being testedNobody records why business was lostLost deals disappear without a reason, so the same thing keeps happening.
Why it happens. Recording a loss feels like admin, and nobody looks at it afterwards.
What the system does. A one-click reason on every loss, and a monthly look at the pattern.
In a hotel or venue. Was it the price, the date, or the three days it took to reply? Nobody knows.
Our working view, being testedMoney leaks where nobody’s lookingLate payments, unbilled extras, deposits never chased.
Why it happens. Each one is small, and nobody owns the gap between systems.
What the system does. Payments matched to what’s due, and a weekly list of what needs chasing.
In a hotel or venue. A deposit is three weeks late, and nobody notices until the balance is due.
Some outside evidenceDeals stall with “we’re thinking about it”Interest goes quiet for weeks, and nobody knows whether to push or let go.
Why it happens. There’s no clear next step and no reason to decide now.
What the system does. The stalled ones picked out with what usually moves people like them, and a drafted, honest nudge.
In a hotel or venue. A couple has been “thinking about it” for six weeks since the show-round.
ReactivateBring past customers back
Former customers, lapsed regulars and old enquiries who would come back if someone asked.
Our working view, being testedPast customers are never asked backRegulars drift away, and it’s noticed months later, if at all.
Why it happens. Repeat business is rarely anyone’s job, so its absence shows up late.
What the system does. A flag when a regular is later than usual, with what they bought before and who to call.
In a hotel or venue. A firm has had its Christmas party with you three years running. It’s October and they haven’t called.
Some outside evidenceToo much of the revenue goes to middlemenCommission on every booking that came through a third party.
Why it happens. Going direct takes effort, and past customers are hard to reach again.
What the system does. The direct share tracked, and past customers brought back where you’re allowed to contact them.
In a hotel or venue. Booking sites take 15 to 25% of room revenue on the bookings they bring.
Some outside evidenceGuests are never seen as future customersPeople who came as guests could be next year’s bookings.
Why it happens. Only the person who booked is ever recorded.
What the system does. Where guests agree to it, a way to stay in touch, and a gentle invitation when the time is right.
In a hotel or venue. Eighty wedding guests, some of them next year’s couples.
Our working view, being testedAnniversaries and milestones pass unmarkedDates that matter to your customers go by without a word.
Why it happens. The dates are on file, but nobody looks.
What the system does. A reminder when a meaningful date comes round, with a drafted message for approval.
In a hotel or venue. A couple married here five years ago, never invited back for their anniversary.
Our working view, being testedGift vouchers are sold and never turned into regularsVouchers are bought, spent once, or never used at all.
Why it happens. Nobody follows the voucher to the person who uses it.
What the system does. Voucher holders reminded before expiry, and welcomed back after their visit.
In a hotel or venue. Christmas vouchers expiring unused every spring.
ExpandGrow what customers spend
The extras, upgrades and bigger bookings they would happily say yes to.
Our working view, being testedCustomers aren’t offered what they’d happily buyExtras, upgrades and add-ons are offered to nobody, or to everybody.
Why it happens. Nobody has the time to match the right offer to the right customer.
What the system does. The right offer to the right customer at the right moment, from what similar customers bought.
In a hotel or venue. Wedding guests who’d book a room, if anyone asked them in time.
Some outside evidenceCustomers who could buy more aren’t spottedAn account is growing, but still books the same small things.
Why it happens. Nobody puts what they buy next to what’s changing in their business.
What the system does. Accounts showing signs they could buy more, with the evidence and a suggested approach.
In a hotel or venue. A local firm has doubled in size and still books one Christmas party.
Our working view, being testedEvent guests aren’t offered a room in timePeople travelling to an event book elsewhere because nobody asked them.
Why it happens. The guest list sits with the organiser, and rooms are offered too late or not at all.
What the system does. A timely, personal offer to guests where the organiser agrees, and a count of rooms filled.
In a hotel or venue. Eighty wedding guests, half of them staying in the town down the road.
RetainKeep the customers you’ve won
Spot the bookings and accounts at risk, and look after people before they drift.
Our working view, being testedSmall mistakes reach the customerA detail typed twice is a detail typed wrong once.
Why it happens. Every copy between systems is a chance for an error, and nobody checks the copies.
What the system does. Details flow from the record, and changes are flagged to the people who need to know.
In a hotel or venue. An allergy noted at booking never reaches the kitchen’s function sheet.
Some outside evidenceCustomers hear nothing after they’ve bookedThe excitement of booking, then months of silence.
Why it happens. Updates are sent when someone remembers, not on a plan.
What the system does. A simple, personal plan of updates from booking to the day, drafted for approval.
In a hotel or venue. A couple books in March and hears nothing until the final-numbers form in August.
Our working view, being testedProblems are heard about in the review, not while there’s time to fix themA complaint that could have been sorted in an hour arrives as a public review.
Why it happens. Nobody sees the early signs during the stay.
What the system does. A same-day flag when something looks wrong, so a person can put it right before the guest leaves.
In a hotel or venue. A cold room mentioned on TripAdvisor two days later.
Some outside evidenceBookings at risk aren’t spotted until they cancelThe signs were there: late payments, slow replies, changing numbers.
Why it happens. Nobody watches the pattern across a booking’s history.
What the system does. An early warning on bookings that look at risk, and a nudge to get in touch while it can still be saved.
In a hotel or venue. A couple stops replying, misses a payment, then cancels three months out.
What else the same system gives you
Revenue comes first. Once your information is joined up, these come with it.
Less admin and research
The reports, copying and chasing that surround every sale.
Some outside evidenceThe same report is rebuilt by hand every weekSomeone spends hours pulling numbers together so everyone can see how last week went.
Why it happens. The numbers live in several systems, so a person does the joining.
What the system does. A report that builds itself from the same sources, checked against the old one until everyone trusts it.
In a hotel or venue. Half of Monday goes on last week’s figures for the owner.
Some outside evidenceInformation is copied from one system to anotherThe same details are typed in twice, and mistakes creep in.
Why it happens. The systems don’t talk, so a person becomes the connection.
What the system does. Records joined once, and the copying stopped wherever the systems allow it.
In a hotel or venue. Details retyped from the booking into the function sheet, and an allergy missed on the way to the kitchen.
Our working view, being testedLong threads hide what’s been agreedMonths of emails, and nobody can find the decision.
Why it happens. Decisions are made in email conversations that nobody writes down anywhere else.
What the system does. Short summaries of long threads: what’s agreed, what’s missing, who owes what.
In a hotel or venue. Eighteen months of emails for one wedding. What did they decide about the canapés?
Our working view, being testedHours go on chasingPayments, replies, sign-offs and missing details, chased one by one.
Why it happens. There’s no list of what’s outstanding, so it’s remembered, or it isn’t.
What the system does. One list of what’s outstanding and who owes it, updated for you.
In a hotel or venue. Chasing final numbers, dietary forms and balances in the last month before every event.
Our working view, being testedMeeting actions get lostEveryone agrees what should happen. A week later, nobody is sure who was doing it.
Why it happens. Notes live in one person’s notebook, if anywhere.
What the system does. Actions captured from the meeting into the tools you already use, with a name and a date on each.
Our working view, being testedHandovers between people and shifts lose thingsWhat the day team knew never reaches the night team.
Why it happens. Handovers are verbal or on a scrap of paper.
What the system does. A short handover built from the day’s records, so the next person starts with what matters.
In a hotel or venue. The night manager doesn’t know about the anniversary in room 12.
Some outside evidenceStaff hours don’t match the busy timesToo many people on quiet days, too few on busy ones.
Why it happens. Rotas are built on habit, not on what’s booked.
What the system does. A forecast of busy times from your bookings, fed into the rota tool you already use.
In a hotel or venue. A full Saturday wedding and a half-staffed bar.
The whole picture
One honest view of your customers and pipeline, and answers when you ask.
Strong outside evidenceNobody can say what actually workedEvery result becomes an argument, because nothing was compared with anything.
Why it happens. Changes are made without a baseline or a group left the old way.
What the system does. Fair tests: a change measured against a group that stayed the same, agreed before anything starts.
In a hotel or venue. Bookings rose in January. Was it the new follow-up, or just engagement season?
Fact When eBay switched off its brand search ads in some markets, 99.5% of that traffic arrived anyway. The ads had been taking credit for years. Blake, Nosko and Tadelis, Econometrica 2015
Some outside evidenceNobody can see the whole pictureEach system shows its own slice, and putting them together takes a day.
Why it happens. Records are spread across tools that were never meant to work together.
What the system does. One honest view, from first contact to paid, by source and month.
In a hotel or venue. How many enquiries became show-rounds last quarter, and from where? Nobody can say without a day’s work.
Fact Only 3% of companies’ data meets basic quality standards. Harvard Business Review, 2017
Our working view, being testedBig decisions are made on gut feelNot because the evidence doesn’t exist, but because it’s too hard to reach.
Why it happens. Answering one question takes days, so people stop asking.
What the system does. A short memo from your own records before each big decision: what the evidence says, and how sure it is.
In a hotel or venue. Grow weddings, corporate or leisure? Refurbish the rooms or the function suite?
Our working view, being testedNobody can ask their own records a questionEvery question needs the one person who knows the spreadsheets.
Why it happens. The information is there, but not in a form anyone can query.
What the system does. Plain-English questions answered from your own records, with the source shown and “I don’t know” when it isn’t sure.
In a hotel or venue. “How many Saturdays in 2027 are still free, and what did we charge last year?”
Our working view, being testedThe future is a guessNext year is planned from memory, even though what’s already booked is on file.
Why it happens. The pipeline and the history are never put side by side.
What the system does. A forecast shown as a range, from what’s booked, what’s live and what happened before.
In a hotel or venue. Weddings book 12 to 18 months out. What does next year actually look like?
Strong outside evidenceSoftware was bought that nobody usesThe subscription renews. The team works around it.
Why it happens. Tools arrive without being fitted to how the work is actually done.
What the system does. Start with the tools you already pay for, and make them do the job before buying anything new.
In a hotel or venue. A CRM set up years ago, and a spreadsheet that everyone actually uses.
Fact Only about a quarter of employees use the business intelligence tools their companies buy, a share that has barely moved in 25 years. BARC and Eckerson, via TechTarget
Our working view, being testedYou can’t prove the business is as good as you know it isTo a bank, a buyer or an investor, “it’s going well” isn’t evidence.
Why it happens. The history is there, but not in a form anyone outside can trust.
What the system does. A clean, checked history of enquiries, bookings and results, ready when you need to show it.
A more capable team
What people know stays in the business, and AI helps rather than worries.
Some outside evidenceWhen someone leaves, what they knew leaves tooThe record holds what happened. The person held what it meant.
Why it happens. Knowledge lives in people’s heads and inboxes.
What the system does. Every conversation in the shared record, and a handover pack when someone moves on.
In a hotel or venue. A coordinator leaves in March, and forty couples lose the person who knew them.
Our working view, being testedNew starters take months to get up to speedHow things are done here is learnt by asking, again and again.
Why it happens. The answers were never written down anywhere findable.
What the system does. An assistant that answers from your own documents, checked, with the source shown.
In a hotel or venue. Packages, prices and the exceptions that nobody wrote down.
Strong outside evidenceThe team has AI, but doesn’t use it well or safelySome people use it for everything, some for nothing, and customer details end up in free tools.
Why it happens. Tools arrive without the habits, examples and rules that make them useful.
What the system does. Safe tools, a one-page policy, and working sessions built on the team’s real tasks.
In a hotel or venue. A guest’s details pasted into a free chatbot to write a reply.
Fact In a preregistered study of 758 consultants, AI made people faster and better at tasks it was good at, and 19 points less likely to be right on a task beyond it. Dell’Acqua et al., Harvard Business School and BCG, 2023
Our working view, being testedThe business depends on one personIf they’re ill or leave, nobody else knows how things work.
Why it happens. How the work is done was never written down anywhere findable.
What the system does. The way the work is done captured as it happens, so someone else can pick it up.
Some outside evidencePeople fear AI is there to watch or replace themA new tool arrives and the team assumes the worst.
Why it happens. Nobody explains what it’s for, or asks them to help shape it.
What the system does. The team helps design what’s built. Numbers are reported for the team, never as a league table of people.
In a hotel or venue. The coordinator worries the morning list is a way of checking up on her.
Some outside evidenceThe team is stretched, especially in peak seasonGood people burn out doing work a system could take off them.
Why it happens. Admin grows with the business, and nobody takes it away.
What the system does. The routine admin taken off their plate first, so the hours go back to customers.
In a hotel or venue. The events team is exhausted by May.
Protection
Consent, data and trust in the numbers, handled properly.
Some outside evidenceEveryone’s selling AI, and it’s hard to tell what’s realEvery supplier now says it has AI. Few can say what it changes.
Why it happens. The claims are easy to make and hard to check.
What the system does. Straight advice on what’s worth using, including what not to buy.
Fact 42% of companies abandoned most of their AI initiatives in 2025, up from 17% the year before. S&P Global Market Intelligence, via CIO Dive (1,000+ firms)
Strong outside evidencePeople don’t trust the numbers, or the systemOne wrong figure, and the whole report is ignored.
Why it happens. Nobody can see where a number came from, so a single mistake undoes everything.
What the system does. Every figure traceable to its record, checked in code before a person sees it.
Fact After watching an algorithm make one mistake, people chose a worse human forecaster instead. Dietvorst, Simmons and Massey, 2015
Our working view, being testedNobody knows who you’re allowed to contactYears of past customers, and no clear record of who agreed to hear from you.
Why it happens. Consent was collected in different ways, in different systems, over years.
What the system does. A consent check as a by-product of joining the records: who you can contact, and how.
In a hotel or venue. Thousands of past guests who might come back, if you knew which ones you could email.
Our working view, being testedCustomer details end up in free AI toolsSomeone pastes a customer’s email into a chatbot to write a reply.
Why it happens. The tools are free and helpful, and nobody has said what’s safe.
What the system does. A one-page policy, safe tools set up properly, and a short session with the team.
Some outside evidenceStaff are fooled by fake emailsConvincing fake messages ask staff to log in or pay.
Why it happens. Scammers copy the platforms a business uses every day.
What the system does. We’ll point you to your IT provider or a specialist. Our part is making sure our own systems never ask for passwords by email.
In a hotel or venue. A fake Booking.com message asking reception to “verify” the account.