Back to Articles

The £500,000 Question: How Much Revenue Is Hiding in Your Existing Enquiry Database?

By Justin Mendleton, Commercial Director, HireBOB.ai

When membership growth slows, one of the most natural responses is to look for more leads by increasing the digital budget, launching another campaign or introducing an offer. Whilst there is nothing wrong with generating new demand, before spending more money attracting the next thousand prospects, I think there is another question worth asking.

What happened to the last thousand?

Some will have joined, some will have decided your facility wasn't right for them, but somewhere inside most leisure operators' databases is another group:

  • They enquired but never booked a visit
  • They booked a tour but didn't attend
  • They took a trial but didn't join
  • They asked about membership but stopped responding
  • They were interested, but the timing wasn't right
  • They said they would think about it

Perhaps somebody followed up once or twice, perhaps the enquiry arrived during a busy period and nobody got to it or perhaps it simply became yesterday's lead as today's enquiries arrived.

None of that means the original interest disappeared forever.

Before we ask marketing to generate more demand, perhaps we should understand how effectively we are converting the demand we already have.

That question becomes increasingly important when you consider what we know about the value of timing.

Research published in Harvard Business Review examined 1.25 million sales leads across 42 US businesses. Companies that attempted to contact a prospect within an hour of an online enquiry were nearly seven times more likely to qualify that lead than those that waited even an hour longer.

More recent research from InsideSales, based on more than 55 million sales activities involving 5.7 million inbound leads, found conversion rates were eight times higher when the first attempt happened within five minutes compared with later responses. It also found that 57.1% of first call attempts occurred more than a week after the original enquiry.

Those studies were not conducted specifically in leisure, so we shouldn't simply apply their conversion figures to a gym or leisure centre and assume the same result, but the underlying behaviour makes intuitive sense as intent has a shelf life.

Someone enquiring about joining a gym today has a reason for doing it today, motivation, circumstances and competing priorities move quickly.

This is where agentic AI changes the economics of follow-up.

Historically, a good follow-up has been expensive. Imagine an operator generating several thousand enquiries each year, properly nurturing every prospect might involve an initial response, answering questions, arranging visits, sending reminders, following up after missed appointments and reconnecting later when the timing wasn't right.

Multiply that across every site and every prospect and the workload becomes significant.

Sales teams inevitably prioritise. They concentrate on the people most likely to join today because there are only so many hours available and that is entirely rational.

The consequence, however, is that potentially valuable conversations can stop because the business has run out of capacity to continue them, rather than because the customer has definitely said no. But AI changes that constraint.

An AI employee can maintain appropriate follow-up across a much larger volume of prospects without asking a sales team to spend its day working through an ever-growing call list. The important word there is “appropriate”. This isn't about relentlessly chasing old leads with generic messages, as nobody wants to receive the 10th version of "Are you still interested in joining?" six months after making an enquiry.

Good re-engagement should recognise what the person originally wanted, where they reached in the journey and whether there is a useful reason to restart the conversation. For example, someone who missed a tour requires a different conversation to someone who completed a seven-day trial.

We are already seeing what happens when follow-up becomes consistent rather than dependent on available staff time.

At LED Community Leisure, automated follow-ups now check whether customers got what they needed after an enquiry, whether that was joining online, attending a class or finding an appropriate facility. Previously, colleagues were making repeated follow-up calls manually. 

LED reports that moving this activity to AI has significantly boosted sales conversions while releasing its Customer Engagement team to spend more time on meaningful, relationship-building conversations.

That distinction matters, since the objective isn't to automate every sales conversation, it is to make sure valuable opportunities don't disappear simply because nobody had time to continue the conversation. AI can do the remembering, it can provide the consistency, it can handle straightforward questions and recognise responses that require a person.

Then, when somebody signals that they are ready for a more involved conversation, the sales team can step in with the context of what has already happened.

So where does the £500,000 come from?

It is deliberately a question, not a claim. There isn't £500,000 sitting in every leisure operator's CRM waiting to be collected, and I'd be very suspicious of anybody promising there was. The figure that matters is your own.

Start with the number of contactable prospects already sitting within your systems, subject of course to the appropriate permissions and data protection requirements.

Understand where they came from and what happened next:

  • How many enquired but never visited?
  • How many booked but didn't attend?
  • How many trialled but didn't join?
  • How many simply stopped responding?
  • How many were marked as lost because the timing wasn't right?
  • Then put some economics against it.
  • If you improved conversion across that existing pool by one percentage point, how many additional memberships would that represent?
  • What is the average collected revenue from those memberships?
  • What would two percentage points be worth? Or five?

And how does the cost of achieving that compare with purchasing enough additional media to generate the equivalent number of new members?

The opportunity isn't simply to extract more money from an old database. It is to stop treating every prospect who didn't buy immediately as if their interest never existed.

There will always be a place for new lead generation, but the arrival of agentic AI should make commercial leaders question an assumption that has shaped leisure sales for years…that sustained follow-up inevitably requires sustained human effort.

It no longer does.

That creates an opportunity to build a longer, more responsive relationship with prospective members while allowing your sales team to concentrate on the moments where a human conversation adds most value.

Before approving the next increase in lead-generation spend, I would ask the commercial team to run one exercise.

Take the demand you have already acquired, audit it properly, understand where prospects stopped progressing and calculate what a small improvement in conversion would actually be worth.

You may discover that one of your most valuable untapped audiences is already sitting inside your business.

The £500,000 question isn't whether you can generate more leads. It's how much value is hiding in the ones you've already got.

‍