Yes, we really said that. Effective copy is about showing your ideal customers how you make their jobs (and lives) easier… not about being different for the sake of it.
With 20 years' experience writing across the tech and service stack, we know what makes both C-suite and devs sit up and take notice.
The more complex the tech, the simpler your approach to marketing it should be: a clearly-articulated value proposition, seeded strategically (and consistently) across your marketing assets.
It's how we've helped our clients achieve 104% increases in organic traffic, 115% increases in referral traffic, and an extra £50,000 in revenue over 12 months.
Move beyond scalability, reliability, and other table-stakes promises, and zoom in on the outcomes most likely to move the needle in your favour.
B2B buying decisions don't happen in a vacuum. We help you make your case to your audiences – and help them make their case to fellow decision-makers.
Build a business case your ideal clients' stakeholders can say yes to, without leaning on scare tactics and other overdone (and ineffective) approaches.
'Data is power,' says every data and analytics company on the market. We help you do less telling, and show more of that power's real-world impact.
Expertise means nothing if it doesn't cut through. We craft your hard-won insights into compelling stories that make you valued, memorable, and preferred.
Book a free, no-obligation chat to discuss your requirements.
They have the rare ability to convert Nordcloud’s portfolio – both technical and transformational – into stories that are interesting, easy to consume and meaningful to customers.
From the outset, it was very clear that Gunning Marketing listened to us and understood our business. Getting a second opinion on our ideas was a useful way to sanity check and improve them. The compelling, punchy copy they delivered helped to soften our technical language, which otherwise has the potential to alienate customers. We were also impressed with the transparency of the entire process. We’ve already recommended Gunning Marketing and will continue to do so.
I’m amazed. The speed at which you’re able to transform ramblings into coherent pieces of content continues to add value to our online marketing strategy. You have a real talent, and it’s greatly valued.
Start with the outcome, not the technology. Non-technical decision-makers aren't confused by complexity – they're unmoved by it. The most common mistake is writing about what a solution does before establishing why the reader should care. Anchor every technical claim in measurable impact. Then add technical detail for those who want it.
A CFO evaluating cloud infrastructure spend doesn't need to understand multi-cloud architecture – they need to know the savings. A useful discipline is: take any technical claim and ask "so what?" until you reach a benefit the reader would act on. "We use multi-cloud architecture" means you're not locked into one provider, which means pricing leverage, lower infrastructure costs, and less risk. Now you have something worth saying to a budget holder.
The other consistent failure is scene-setting. Opening with 2 paragraphs on the state of the industry wastes the reader's most limited resource: their time. Start where the story starts – at the specific problem your audience is facing or the question they’re asking.
The single biggest reason B2B tech case studies fail is vagueness. "We improved operational efficiency" tells the reader nothing. "We reduced infrastructure costs by 34% in the first 6 months, cutting unplanned downtime from 14 hours per quarter to under 2" tells them everything they need to know. Specificity is what earns the read – and in technical sectors, it's also what earns credibility.
Follow this structure: situation, challenge, solution/approach, result. And wherever possible, let the client speak. A direct quote from a stakeholder does more than any description you could write about yourself.
The most effective tech case studies do 3 things simultaneously:
If a client will let you name them, name them. But anonymised case studies are also effective, and buyers in technical sectors understand confidentiality.
You can't fake domain knowledge with a technically literate audience. Solutions architects, cloud engineers, and R&D leads will spot surface-level familiarity within a paragraph. Content that holds up engages credibly with technical detail – not exhaustively, but enough to signal genuine understanding of the architecture, the workflow, or the engineering challenge.
This can't be achieved with a good brief alone. It requires domain knowledge – or a writing partner who brings it to the table. At Gunning Marketing, that depth comes from more than a decade of embedded work across the tech stack, from cloud infrastructure to platforms to AI, SaaS, and managed services. Our team holds a Microsoft Azure Fundamentals certification and has spent years interviewing solution architects, CTOs, and product engineers – then translating what we hear into messaging that works at every level of the organisation.
Nordcloud's marketing team have described this as the ability to "convert both the technical and transformational portfolio into stories that are interesting, easy to consume, and meaningful to customers." Read the Nordcloud case study here.
Most AI product content fails because it leads with capability rather than context. Before a reader believes your solution is relevant, they need to feel understood – and that means starting with their situation: the pressure they're under, the complexity they're managing, the gap between where they're and where the board expects them to be. The more precisely your content reflects their actual environment, the more credible your product appears before you've described a single feature. Generic benefit claims ("reduce costs, improve efficiency") are what every AI vendor says. Specific, contextually accurate content is what cuts through.
In a market where AI claims are everywhere and scepticism is high, a few things matter more than others.
The test: could you swap your logo onto a competitor's AI content without it reading differently? If yes, start again.
Get specific about what you actually do. "Accelerating your digital transformation journey" is the strapline of several thousand companies. "We help mid-market manufacturers migrate legacy ERP systems to cloud-native architectures without disrupting production schedules" tells a specific buyer they're in the right place. The more specific the claim, the more credible you are – and the more you connect with buyers.
There's also a case for dropping the language entirely, depending on context. "Digital transformation" has been so overused that it carries almost no meaning for a technically literate audience. Describing what you actually do – "we modernise data infrastructure", "we migrate on-prem systems to cloud", "we automate manual processes across operational workflows" – is precise and distinctive.
A useful provocation: if you removed all mention of digital transformation from your website and replaced it with specific descriptions of the problems you solve and the outcomes you deliver, would the copy be better or worse?
Nordcloud navigated this well by producing content that engaged with the specific technical and commercial questions its audience was wrestling with, rather than positioning around the transformation category. One blog post titled "Why digital transformation doesn't work" earned attention precisely because it refused the cliché.
The most common whitepaper mistake is writing from the product outward: here is what we've built, here is how it works, here is why you should care. The ones that get read start with the reader: here’s the situation you're in, here’s why it's harder to solve than most people admit, here’s an approach/framework for thinking about it, and here’s how we can help. This sequence earns the credibility that makes the technical detail land.
Structure the whitepaper so it works at 2 levels: a skim read and a detailed read. The introduction/executive summary, section headings, and conclusion should tell a coherent story.
The most effective structure:
This is the distinction between a whitepaper and a sales document. A sales document leads with the vendor's capabilities and asks the reader to see themselves in it. A whitepaper leads with the reader's world and earns the right to present a solution. Both have their place, but conflating them produces something that does neither job well. Decision-makers who open a whitepaper and find a thinly disguised product brochure don't just stop reading. They revise their assessment of the vendor.
On length: the right length is however long it takes to make the argument properly. Whitepapers padded to hit a word count are identifiable and erode trust.
Arrive with enough domain knowledge to ask questions that respect their time. An SME who has answered "what's cloud migration?" a dozen times will disengage quickly. The same person, asked "what’s your experience of dealing with complex migration of monolithic applications?" will lean forward. Specific questions produce specific, insightful answers.
Techniques that reliably produce better material:
Then listen. The best material in a technical interview usually isn't the answer to the question you asked, it's the thing the SME says in passing, as if it were unremarkable, that turns out to be exactly the insight the audience most needs to hear.
Anchor cybersecurity content in operational and financial consequences, not technical threat descriptions. "A ransomware attack costs UK businesses an average of £1.1 million in downtime, recovery, and reputational damage" lands with a CFO. "Threat actors are exploiting zero-day vulnerabilities in legacy infrastructure" lands with a SOC analyst. Know which reader you're writing for and pitch every claim at their level of risk ownership.
The scaremongering problem arises when content leads with threat and volume – the number of attacks, the sophistication of adversaries, the scale of data breaches – without connecting those facts to what the reader can do about it. Fear without agency isn't useful marketing; it's paralysis.
The overly technical problem arises when content is written for the person who already understands the solution rather than the person who needs to be convinced they have a problem. Explain what a vulnerability means in operational terms before explaining how to fix it technically.
The balance: be specific about the risk (a named threat category, a real consequence, a sector-relevant example), clear about why standard approaches fall short, and concrete about what better looks like. That structure works for both the technical evaluator and the business decision-maker.
