A useful business with something to lose
We won’t name the company here, but let’s call it Dataful.
If you have ever started typing your address at an online checkout and selected the right one from a list, you already understand its service. Behind that small convenience is a useful piece of business economics: less effort for the shopper, a better chance of completing the purchase, and fewer address mistakes turning into failed deliveries and extra costs.
At around a penny per lookup, the benefit was easy to justify.
Dataful sourced information from external suppliers, then filtered and delivered the relevant details when they were needed. A shop did not need an entire address database at checkout. It needed the right address, quickly, within the purchase its customer was trying to complete.
Most customers were small businesses buying prepaid lookup packs. They installed the service and generally needed little ongoing assistance. Behind it were people maintaining the software, keeping it available, supporting customers and making sales. Dataful had a useful offering and a business worth developing.
Corporate customers presented a promising opportunity. Larger accounts could bring substantial usage, but also different purchasing arrangements, support expectations and requirements across countries. Serving them would require changes throughout the business.
Dataful began winning those accounts. The sales figures suggested progress.
By the time we began examining the business, however, staff were leaving without replacement, losses were continuing and trust had weakened. Customers questioned pricing changes. Salespeople questioned whether opportunities were allocated fairly. Following an acquisition and a gap in management, people had reasons to protect their own position.
The immediate task was to understand how a company winning customers could be losing the means to serve them, and what needed to change while there was still time.
More customers, less room to manoeuvre
A heavily discounted corporate offer was bringing in accounts. It had begun as a loss leader, but remained available. Each customer won made Dataful look more established in the market it wanted to enter.
The prevailing instinct was to make the sale. Requests received a ready “yes”, while a competitor’s corporate offering helped set the direction for product decisions. With customers buying, questioning that approach could seem like putting obstacles in the way of growth.
Yet the reassurance of another sale did not last. Losses continued. Departing staff were not replaced, leaving fewer people to carry the work. The overall accounts showed financial pressure, but offered too little detail to explain where it originated.
Routine price reviews created more work too. Charges and lookup allowances changed together, while customers renewed at different times. Old and new packs accumulated. Staff had more versions to administer, and customers had more reason to ask what their money now bought.
Within the sales team, uncertainty was personal. During the management gap, one salesperson had assumed responsibility for allocating leads while continuing to sell. Colleagues questioned the fairness of the arrangement. When the business left that concern unresolved, it became harder to trust the organisation as well as the individual.
Viewed separately, each issue could invite a reassuring explanation. An unfilled vacancy saved money. A billing query was ordinary support work. A new corporate account demonstrated demand.
What we needed to establish was whether those explanations held together. Were sales strengthening Dataful, or was the company becoming busier while losing the capacity and confidence needed to sustain itself?
First, change what management could see
We began by building a financial model that could assess every product on a consistent basis. We also established a separate reporting environment, allowing operational data to be analysed without disrupting the service customers depended on.
These changes gave management something the overall accounts could not provide: a view of margins by product range, based on actual revenue rather than the apparent economics of a lookup pack.
The distinction mattered. Previously, a pack looked profitable when its selling price comfortably exceeded the supplier’s data charge. That charge fell at high volumes, making large accounts appear particularly attractive.
But the difference still had to pay for Dataful’s software, infrastructure, maintenance and support. Those continuing costs had been dismissed with a familiar explanation: “We’re paying for that anyway.”
We were—and would have to pay again next month. They were ongoing obligations, not sunk costs. Some did not increase with every lookup, but the business still needed sufficient contribution to sustain them. Large customers also placed demands on capacity and support that their low data costs did not reveal.
Once those costs were included, the corporate campaign looked very different. Winning another customer at those prices meant taking on more work at a loss. The sales figures that had reassured people were recording the expansion of a financial problem.
The model exposed weaker margins elsewhere too. Customers in the middle of the range were less profitable than assumed.
This was the first turning point. We had changed the ability to investigate the business; that revealed where its commercial decisions needed to change. Management could now assess corrections against evidence—and use the reporting to follow their effects.
Change the offer, and the thinking behind it
The model also challenged Dataful’s understanding of its own value. People regarded the company as a data provider, so the supplier’s data price dominated discussions about what customers should pay.
But a retailer did not want millions of address records. It wanted the few relevant details at the moment a shopper needed them. Dataful’s value lay in filtering and provisioning that information through a dependable, integrated service.
We changed the marketing to make that distinction explicit. Marketing then became a regular management topic, broadening discussions beyond the next sale to include why customers bought and what fulfilling that promise required.
The financial findings demanded action too. We increased prices for customers on the loss-leading offer by 200%, to three times their previous level. Most complained but stayed; some left. Further increases were staged towards market-related levels.
Losing customers was uncomfortable. Keeping them on terms that sustained losses was also a decision, with consequences for everyone depending on Dataful. The model gave us a basis for judging that trade-off. It also supported price adjustments elsewhere, improving contribution from less profitable accounts.
We changed how increases were made. Previously, a £56 pack with 5,600 lookups might become a £60 pack with 5,000. The headline increase was about 7%; the price per lookup rose by 20%. Overlapping versions created administration, migrations and explanations that could weaken trust.
Instead, we retained the products and changed their prices openly. Reviews were spread through the year to reduce concentrated workloads.
We also introduced three pricing levels: salespeople could grant an initial discount, deeper reductions required approval, and a floor limited concessions. “That requires management approval” gave negotiators consistent organisational backing under price pressure.
Corporate growth remained worthwhile. But prepaid commitments, purchase-date expiry and limited usage controls did not adequately suit corporate requirements. We established an indirect sales function to develop reseller and multinational partner coverage, while recognising that billing, support and controls also needed to fit the market.
Sales now had a clearer proposition and practical support for targets that included profit alongside sales and revenue.
Give people a reason to back the business
Changing prices and targets would achieve little if employees still believed that protecting themselves was their safest option. Dataful needed people willing to raise problems, share information and work towards the same outcome.
We clarified sales responsibilities, including lead allocation. This addressed more than an organisational loose end. A salesperson’s opportunities affected their earnings; leaving allocation under a colleague who also sold had undermined confidence in fair treatment. Changing that arrangement gave people a practical reason to believe the business would address their concerns.
The same principle applied when conduct needed correcting. We discussed it directly and privately, making expectations clear without turning a mistake into a judgement about the person. Accountability needed to make future behaviour more reliable, rather than make people more guarded.
In development and operations, we introduced better reporting and processes while giving team managers defined authority. They were asked to identify problems and propose solutions, rather than wait for instructions.
That authority had to be credible. We focused measures and discussions on what managers could control, avoiding accountability for outcomes beyond their influence. People could see that raising a problem gave them an opportunity to resolve it, rather than merely exposing them to blame.
The aim was to make Dataful’s success a shared purpose. Clear responsibilities, fair treatment and room to act helped turn that purpose into something people could experience.
The changes were demanding. Sales commissions fell substantially as deals became harder to win on sustainable terms, yet no salesperson left. Across roughly fifty employees, two people departed. We cannot assign a single motive to everyone who stayed, but the business retained the people needed to carry the recovery forward.
A recovery we could measure
Customers needed reasons to trust Dataful too. Open price increases and a more consistent product range reduced the changes they had to navigate. We improved communication, explaining what each software update contained. Where a billing query left genuine doubt, we resolved it in the customer’s favour.
Each action made the relationship more predictable. Customers could better understand what they were buying, what was changing and how they would be treated when something went wrong.
Over two financial years, churn fell from 11% to around 4%. The effects took time to emerge through customers’ experience and renewal decisions. Crucially, the reporting changes meant we could measure retention alongside profitability, rather than assume that complaints or departures told the whole story.
Sales changed shape too. Direct sales declined to some degree, indirect sales grew as the partner function became established, and web sales remained broadly stable. We could assess those movements against the strategy and economics of each channel, rather than treating every increase as success and every decline as failure.
Dataful gained a viable route towards growth. Continuing the previous approach would have meant further losses and, ultimately, closing the business to stop them.
“Unsustainable economics” and “poor product–market fit” describe failure neatly in hindsight. Inside a business, they can appear as a busy team, an attractive contract, an awkward price review or another vacancy left unfilled.
The difference here came from connecting those signals, changing the ability to manage, and implementing corrections across functions. An independent view helped challenge assumptions that had become normal. Financial modelling, reporting and experienced judgement turned those findings into action.
For an owner facing unexplained pressure despite healthy sales, that is a useful starting question: what would become visible if the business were examined as a whole?